fe252f8ed6
In FIR, we want to wrap function pointers in a special box known as a boxproc value. Fortran has a limited form of dynamic scoping [https://tinyurl.com/2p8v2hw7] between "host procedures" and "internal procedures". There are a number of implementations possible. Boxproc typed values abstract away the implementation details of when a function pointer can be passed directly (as a raw address) and when a function pointer has to account for the presence of a dynamic scope. When lowering Fortran syntax to FIR, all function pointers are emboxed as boxproc values. When creating LLVM IR, we must strip away the abstraction and produce low-level LLVM "assembly" code. This patch implements that transformation as converting the boxproc values to either raw function pointers or executable trampolines on the stack as needed. The trampoline then captures the dynamic scope context within an executable thunk that can be passed instead of the function's raw address. Some extra handling is required for Fortran functions that return a character value to deal with LEN values here. Some of the code in Bridge.cpp and ConvertExpr.cpp and be re-arranged to faciliate the upstreaming effort. This patch is part of the upstreaming effort from fir-dev branch. Reviewed By: jeanPerier, PeteSteinfeld Differential Revision: https://reviews.llvm.org/D122223 Co-authored-by: mleair <leairmark@gmail.com> Co-authored-by: Jean Perier <jperier@nvidia.com> Co-authored-by: Eric Schweitz <eschweitz@nvidia.com> Co-authored-by: V Donaldson <vdonaldson@nvidia.com> Co-authored-by: Kiran Chandramohan <kiran.chandramohan@arm.com>
3464 lines
133 KiB
C++
3464 lines
133 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/Func/IR/FuncOps.h"
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#include "mlir/IR/BuiltinAttributes.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/OpDefinition.h"
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#include "mlir/IR/PatternMatch.h"
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#include "llvm/ADT/STLExtras.h"
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#include "llvm/ADT/SmallVector.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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using namespace mlir;
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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::UnresolvedOperand> 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.getInType();
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if (!op.getTypeparams().empty()) {
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p << '(' << op.getTypeparams() << " : " << op.getTypeparams().getTypes()
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<< ')';
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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.getShape()) {
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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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mlir::ParseResult fir::AllocaOp::parse(OpAsmParser &parser,
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OperationState &result) {
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return parseAllocatableOp(wrapAllocaResultType, parser, result);
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}
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void fir::AllocaOp::print(OpAsmPrinter &p) { printAllocatableOp(p, *this); }
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mlir::LogicalResult fir::AllocaOp::verify() {
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llvm::SmallVector<llvm::StringRef> visited;
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if (verifyInType(getInType(), visited, numShapeOperands()))
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return emitOpError("invalid type for allocation");
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if (verifyTypeParamCount(getInType(), numLenParams()))
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return emitOpError("LEN params do not correspond to type");
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mlir::Type outType = getType();
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if (!outType.isa<fir::ReferenceType>())
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return 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 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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mlir::ParseResult AllocMemOp::parse(OpAsmParser &parser,
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OperationState &result) {
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return parseAllocatableOp(wrapAllocMemResultType, parser, result);
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}
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void AllocMemOp::print(OpAsmPrinter &p) { printAllocatableOp(p, *this); }
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mlir::LogicalResult AllocMemOp::verify() {
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llvm::SmallVector<llvm::StringRef> visited;
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if (verifyInType(getInType(), visited, numShapeOperands()))
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return emitOpError("invalid type for allocation");
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if (verifyTypeParamCount(getInType(), numLenParams()))
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return emitOpError("LEN params do not correspond to type");
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mlir::Type outType = getType();
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if (!outType.dyn_cast<fir::HeapType>())
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return 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 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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mlir::LogicalResult ArrayCoorOp::verify() {
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auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(getMemref().getType());
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auto arrTy = eleTy.dyn_cast<fir::SequenceType>();
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if (!arrTy)
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return emitOpError("must be a reference to an array");
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auto arrDim = arrTy.getDimension();
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if (auto shapeOp = getShape()) {
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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 (!getMemref().getType().isa<fir::BoxType>())
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return 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 emitOpError("rank of dimension mismatched");
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if (shapeTyRank != getIndices().size())
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return emitOpError("number of indices do not match dim rank");
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}
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if (auto sliceOp = getSlice()) {
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if (auto sl = mlir::dyn_cast_or_null<fir::SliceOp>(sliceOp.getDefiningOp()))
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if (!sl.getSubstr().empty())
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return 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 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 = getShape())
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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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auto extents = shOp.getExtents();
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return {extents.begin(), extents.end()};
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}
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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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mlir::LogicalResult ArrayLoadOp::verify() {
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auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(getMemref().getType());
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auto arrTy = eleTy.dyn_cast<fir::SequenceType>();
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if (!arrTy)
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return emitOpError("must be a reference to an array");
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auto arrDim = arrTy.getDimension();
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if (auto shapeOp = getShape()) {
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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();
|
|
if (!getMemref().getType().isa<fir::BoxType>())
|
|
return emitOpError("shift can only be provided with fir.box memref");
|
|
}
|
|
if (arrDim && arrDim != shapeTyRank)
|
|
return emitOpError("rank of dimension mismatched");
|
|
}
|
|
|
|
if (auto sliceOp = getSlice()) {
|
|
if (auto sl = mlir::dyn_cast_or_null<fir::SliceOp>(sliceOp.getDefiningOp()))
|
|
if (!sl.getSubstr().empty())
|
|
return emitOpError("array_load cannot take a slice with substring");
|
|
if (auto sliceTy = sliceOp.getType().dyn_cast<fir::SliceType>())
|
|
if (sliceTy.getRank() != arrDim)
|
|
return emitOpError("rank of dimension in slice mismatched");
|
|
}
|
|
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ArrayMergeStoreOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult ArrayMergeStoreOp::verify() {
|
|
if (!isa<ArrayLoadOp>(getOriginal().getDefiningOp()))
|
|
return emitOpError("operand #0 must be result of a fir.array_load op");
|
|
if (auto sl = getSlice()) {
|
|
if (auto sliceOp =
|
|
mlir::dyn_cast_or_null<fir::SliceOp>(sl.getDefiningOp())) {
|
|
if (!sliceOp.getSubstr().empty())
|
|
return emitOpError(
|
|
"array_merge_store cannot take a slice with substring");
|
|
if (!sliceOp.getFields().empty()) {
|
|
// This is an intra-object merge, where the slice is projecting the
|
|
// subfields that are to be overwritten by the merge operation.
|
|
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(getMemref().getType());
|
|
if (auto seqTy = eleTy.dyn_cast<fir::SequenceType>()) {
|
|
auto projTy =
|
|
fir::applyPathToType(seqTy.getEleTy(), sliceOp.getFields());
|
|
if (fir::unwrapSequenceType(getOriginal().getType()) != projTy)
|
|
return emitOpError(
|
|
"type of origin does not match sliced memref type");
|
|
if (fir::unwrapSequenceType(getSequence().getType()) != projTy)
|
|
return emitOpError(
|
|
"type of sequence does not match sliced memref type");
|
|
return mlir::success();
|
|
}
|
|
return emitOpError("referenced type is not an array");
|
|
}
|
|
}
|
|
return mlir::success();
|
|
}
|
|
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(getMemref().getType());
|
|
if (getOriginal().getType() != eleTy)
|
|
return emitOpError("type of origin does not match memref element type");
|
|
if (getSequence().getType() != eleTy)
|
|
return emitOpError("type of sequence does not match memref element type");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ArrayFetchOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
// Template function used for both array_fetch and array_update verification.
|
|
template <typename A>
|
|
mlir::Type validArraySubobject(A op) {
|
|
auto ty = op.getSequence().getType();
|
|
return fir::applyPathToType(ty, op.getIndices());
|
|
}
|
|
|
|
mlir::LogicalResult ArrayFetchOp::verify() {
|
|
auto arrTy = getSequence().getType().cast<fir::SequenceType>();
|
|
auto indSize = getIndices().size();
|
|
if (indSize < arrTy.getDimension())
|
|
return emitOpError("number of indices != dimension of array");
|
|
if (indSize == arrTy.getDimension() &&
|
|
::adjustedElementType(getElement().getType()) != arrTy.getEleTy())
|
|
return emitOpError("return type does not match array");
|
|
auto ty = validArraySubobject(*this);
|
|
if (!ty || ty != ::adjustedElementType(getType()))
|
|
return emitOpError("return type and/or indices do not type check");
|
|
if (!isa<fir::ArrayLoadOp>(getSequence().getDefiningOp()))
|
|
return emitOpError("argument #0 must be result of fir.array_load");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ArrayAccessOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult ArrayAccessOp::verify() {
|
|
auto arrTy = getSequence().getType().cast<fir::SequenceType>();
|
|
std::size_t indSize = getIndices().size();
|
|
if (indSize < arrTy.getDimension())
|
|
return emitOpError("number of indices != dimension of array");
|
|
if (indSize == arrTy.getDimension() &&
|
|
getElement().getType() != fir::ReferenceType::get(arrTy.getEleTy()))
|
|
return emitOpError("return type does not match array");
|
|
mlir::Type ty = validArraySubobject(*this);
|
|
if (!ty || fir::ReferenceType::get(ty) != getType())
|
|
return emitOpError("return type and/or indices do not type check");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ArrayUpdateOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult ArrayUpdateOp::verify() {
|
|
if (fir::isa_ref_type(getMerge().getType()))
|
|
return emitOpError("does not support reference type for merge");
|
|
auto arrTy = getSequence().getType().cast<fir::SequenceType>();
|
|
auto indSize = getIndices().size();
|
|
if (indSize < arrTy.getDimension())
|
|
return emitOpError("number of indices != dimension of array");
|
|
if (indSize == arrTy.getDimension() &&
|
|
::adjustedElementType(getMerge().getType()) != arrTy.getEleTy())
|
|
return emitOpError("merged value does not have element type");
|
|
auto ty = validArraySubobject(*this);
|
|
if (!ty || ty != ::adjustedElementType(getMerge().getType()))
|
|
return emitOpError("merged value and/or indices do not type check");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ArrayModifyOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult ArrayModifyOp::verify() {
|
|
auto arrTy = getSequence().getType().cast<fir::SequenceType>();
|
|
auto indSize = getIndices().size();
|
|
if (indSize < arrTy.getDimension())
|
|
return emitOpError("number of indices must match array dimension");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// BoxAddrOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::OpFoldResult fir::BoxAddrOp::fold(llvm::ArrayRef<mlir::Attribute> opnds) {
|
|
if (auto v = getVal().getDefiningOp()) {
|
|
if (auto box = dyn_cast<fir::EmboxOp>(v))
|
|
return box.getMemref();
|
|
if (auto box = dyn_cast<fir::EmboxCharOp>(v))
|
|
return box.getMemref();
|
|
}
|
|
return {};
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// BoxCharLenOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::OpFoldResult
|
|
fir::BoxCharLenOp::fold(llvm::ArrayRef<mlir::Attribute> opnds) {
|
|
if (auto v = getVal().getDefiningOp()) {
|
|
if (auto box = dyn_cast<fir::EmboxCharOp>(v))
|
|
return box.getLen();
|
|
}
|
|
return {};
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// BoxDimsOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
/// Get the result types packed in a tuple tuple
|
|
mlir::Type fir::BoxDimsOp::getTupleType() {
|
|
// note: triple, but 4 is nearest power of 2
|
|
llvm::SmallVector<mlir::Type> triple{
|
|
getResult(0).getType(), getResult(1).getType(), getResult(2).getType()};
|
|
return mlir::TupleType::get(getContext(), triple);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CallOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::FunctionType fir::CallOp::getFunctionType() {
|
|
return mlir::FunctionType::get(getContext(), getOperandTypes(),
|
|
getResultTypes());
|
|
}
|
|
|
|
void fir::CallOp::print(mlir::OpAsmPrinter &p) {
|
|
bool isDirect = getCallee().hasValue();
|
|
p << ' ';
|
|
if (isDirect)
|
|
p << getCallee().getValue();
|
|
else
|
|
p << getOperand(0);
|
|
p << '(' << (*this)->getOperands().drop_front(isDirect ? 0 : 1) << ')';
|
|
p.printOptionalAttrDict((*this)->getAttrs(),
|
|
{fir::CallOp::getCalleeAttrNameStr()});
|
|
auto resultTypes{getResultTypes()};
|
|
llvm::SmallVector<Type> argTypes(
|
|
llvm::drop_begin(getOperandTypes(), isDirect ? 0 : 1));
|
|
p << " : " << FunctionType::get(getContext(), argTypes, resultTypes);
|
|
}
|
|
|
|
mlir::ParseResult fir::CallOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> operands;
|
|
if (parser.parseOperandList(operands))
|
|
return mlir::failure();
|
|
|
|
mlir::NamedAttrList attrs;
|
|
mlir::SymbolRefAttr funcAttr;
|
|
bool isDirect = operands.empty();
|
|
if (isDirect)
|
|
if (parser.parseAttribute(funcAttr, fir::CallOp::getCalleeAttrNameStr(),
|
|
attrs))
|
|
return mlir::failure();
|
|
|
|
Type type;
|
|
if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::Paren) ||
|
|
parser.parseOptionalAttrDict(attrs) || parser.parseColon() ||
|
|
parser.parseType(type))
|
|
return mlir::failure();
|
|
|
|
auto funcType = type.dyn_cast<mlir::FunctionType>();
|
|
if (!funcType)
|
|
return parser.emitError(parser.getNameLoc(), "expected function type");
|
|
if (isDirect) {
|
|
if (parser.resolveOperands(operands, funcType.getInputs(),
|
|
parser.getNameLoc(), result.operands))
|
|
return mlir::failure();
|
|
} else {
|
|
auto funcArgs =
|
|
llvm::ArrayRef<mlir::OpAsmParser::UnresolvedOperand>(operands)
|
|
.drop_front();
|
|
if (parser.resolveOperand(operands[0], funcType, result.operands) ||
|
|
parser.resolveOperands(funcArgs, funcType.getInputs(),
|
|
parser.getNameLoc(), result.operands))
|
|
return mlir::failure();
|
|
}
|
|
result.addTypes(funcType.getResults());
|
|
result.attributes = attrs;
|
|
return mlir::success();
|
|
}
|
|
|
|
void fir::CallOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
|
|
mlir::FuncOp callee, mlir::ValueRange operands) {
|
|
result.addOperands(operands);
|
|
result.addAttribute(getCalleeAttrNameStr(), SymbolRefAttr::get(callee));
|
|
result.addTypes(callee.getFunctionType().getResults());
|
|
}
|
|
|
|
void fir::CallOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
|
|
mlir::SymbolRefAttr callee,
|
|
llvm::ArrayRef<mlir::Type> results,
|
|
mlir::ValueRange operands) {
|
|
result.addOperands(operands);
|
|
if (callee)
|
|
result.addAttribute(getCalleeAttrNameStr(), callee);
|
|
result.addTypes(results);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CmpOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
template <typename OPTY>
|
|
static void printCmpOp(OpAsmPrinter &p, OPTY op) {
|
|
p << ' ';
|
|
auto predSym = mlir::arith::symbolizeCmpFPredicate(
|
|
op->template getAttrOfType<mlir::IntegerAttr>(
|
|
OPTY::getPredicateAttrName())
|
|
.getInt());
|
|
assert(predSym.hasValue() && "invalid symbol value for predicate");
|
|
p << '"' << mlir::arith::stringifyCmpFPredicate(predSym.getValue()) << '"'
|
|
<< ", ";
|
|
p.printOperand(op.getLhs());
|
|
p << ", ";
|
|
p.printOperand(op.getRhs());
|
|
p.printOptionalAttrDict(op->getAttrs(),
|
|
/*elidedAttrs=*/{OPTY::getPredicateAttrName()});
|
|
p << " : " << op.getLhs().getType();
|
|
}
|
|
|
|
template <typename OPTY>
|
|
static mlir::ParseResult parseCmpOp(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> ops;
|
|
mlir::NamedAttrList attrs;
|
|
mlir::Attribute predicateNameAttr;
|
|
mlir::Type type;
|
|
if (parser.parseAttribute(predicateNameAttr, OPTY::getPredicateAttrName(),
|
|
attrs) ||
|
|
parser.parseComma() || parser.parseOperandList(ops, 2) ||
|
|
parser.parseOptionalAttrDict(attrs) || parser.parseColonType(type) ||
|
|
parser.resolveOperands(ops, type, result.operands))
|
|
return failure();
|
|
|
|
if (!predicateNameAttr.isa<mlir::StringAttr>())
|
|
return parser.emitError(parser.getNameLoc(),
|
|
"expected string comparison predicate attribute");
|
|
|
|
// Rewrite string attribute to an enum value.
|
|
llvm::StringRef predicateName =
|
|
predicateNameAttr.cast<mlir::StringAttr>().getValue();
|
|
auto predicate = fir::CmpcOp::getPredicateByName(predicateName);
|
|
auto builder = parser.getBuilder();
|
|
mlir::Type i1Type = builder.getI1Type();
|
|
attrs.set(OPTY::getPredicateAttrName(),
|
|
builder.getI64IntegerAttr(static_cast<int64_t>(predicate)));
|
|
result.attributes = attrs;
|
|
result.addTypes({i1Type});
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CharConvertOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult CharConvertOp::verify() {
|
|
auto unwrap = [&](mlir::Type t) {
|
|
t = fir::unwrapSequenceType(fir::dyn_cast_ptrEleTy(t));
|
|
return t.dyn_cast<fir::CharacterType>();
|
|
};
|
|
auto inTy = unwrap(getFrom().getType());
|
|
auto outTy = unwrap(getTo().getType());
|
|
if (!(inTy && outTy))
|
|
return emitOpError("not a reference to a character");
|
|
if (inTy.getFKind() == outTy.getFKind())
|
|
return emitOpError("buffers must have different KIND values");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CmpcOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::buildCmpCOp(OpBuilder &builder, OperationState &result,
|
|
arith::CmpFPredicate predicate, Value lhs, Value rhs) {
|
|
result.addOperands({lhs, rhs});
|
|
result.types.push_back(builder.getI1Type());
|
|
result.addAttribute(
|
|
fir::CmpcOp::getPredicateAttrName(),
|
|
builder.getI64IntegerAttr(static_cast<int64_t>(predicate)));
|
|
}
|
|
|
|
mlir::arith::CmpFPredicate
|
|
fir::CmpcOp::getPredicateByName(llvm::StringRef name) {
|
|
auto pred = mlir::arith::symbolizeCmpFPredicate(name);
|
|
assert(pred.hasValue() && "invalid predicate name");
|
|
return pred.getValue();
|
|
}
|
|
|
|
void CmpcOp::print(OpAsmPrinter &p) { printCmpOp(p, *this); }
|
|
|
|
mlir::ParseResult CmpcOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
return parseCmpOp<fir::CmpcOp>(parser, result);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ConstcOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::ParseResult ConstcOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
fir::RealAttr realp;
|
|
fir::RealAttr imagp;
|
|
mlir::Type type;
|
|
if (parser.parseLParen() ||
|
|
parser.parseAttribute(realp, fir::ConstcOp::realAttrName(),
|
|
result.attributes) ||
|
|
parser.parseComma() ||
|
|
parser.parseAttribute(imagp, fir::ConstcOp::imagAttrName(),
|
|
result.attributes) ||
|
|
parser.parseRParen() || parser.parseColonType(type) ||
|
|
parser.addTypesToList(type, result.types))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
void ConstcOp::print(mlir::OpAsmPrinter &p) {
|
|
p << '(';
|
|
p << getOperation()->getAttr(fir::ConstcOp::realAttrName()) << ", ";
|
|
p << getOperation()->getAttr(fir::ConstcOp::imagAttrName()) << ") : ";
|
|
p.printType(getType());
|
|
}
|
|
|
|
mlir::LogicalResult ConstcOp::verify() {
|
|
if (!getType().isa<fir::ComplexType>())
|
|
return emitOpError("must be a !fir.complex type");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ConvertOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::ConvertOp::getCanonicalizationPatterns(RewritePatternSet &results,
|
|
MLIRContext *context) {
|
|
results.insert<ConvertConvertOptPattern, ConvertAscendingIndexOptPattern,
|
|
ConvertDescendingIndexOptPattern, RedundantConvertOptPattern,
|
|
CombineConvertOptPattern, CombineConvertTruncOptPattern,
|
|
ForwardConstantConvertPattern>(context);
|
|
}
|
|
|
|
mlir::OpFoldResult fir::ConvertOp::fold(llvm::ArrayRef<mlir::Attribute> opnds) {
|
|
if (getValue().getType() == getType())
|
|
return getValue();
|
|
if (matchPattern(getValue(), m_Op<fir::ConvertOp>())) {
|
|
auto inner = cast<fir::ConvertOp>(getValue().getDefiningOp());
|
|
// (convert (convert 'a : logical -> i1) : i1 -> logical) ==> forward 'a
|
|
if (auto toTy = getType().dyn_cast<fir::LogicalType>())
|
|
if (auto fromTy = inner.getValue().getType().dyn_cast<fir::LogicalType>())
|
|
if (inner.getType().isa<mlir::IntegerType>() && (toTy == fromTy))
|
|
return inner.getValue();
|
|
// (convert (convert 'a : i1 -> logical) : logical -> i1) ==> forward 'a
|
|
if (auto toTy = getType().dyn_cast<mlir::IntegerType>())
|
|
if (auto fromTy =
|
|
inner.getValue().getType().dyn_cast<mlir::IntegerType>())
|
|
if (inner.getType().isa<fir::LogicalType>() && (toTy == fromTy) &&
|
|
(fromTy.getWidth() == 1))
|
|
return inner.getValue();
|
|
}
|
|
return {};
|
|
}
|
|
|
|
bool fir::ConvertOp::isIntegerCompatible(mlir::Type ty) {
|
|
return ty.isa<mlir::IntegerType>() || ty.isa<mlir::IndexType>() ||
|
|
ty.isa<fir::IntegerType>() || ty.isa<fir::LogicalType>();
|
|
}
|
|
|
|
bool fir::ConvertOp::isFloatCompatible(mlir::Type ty) {
|
|
return ty.isa<mlir::FloatType>() || ty.isa<fir::RealType>();
|
|
}
|
|
|
|
bool fir::ConvertOp::isPointerCompatible(mlir::Type ty) {
|
|
return ty.isa<fir::ReferenceType>() || ty.isa<fir::PointerType>() ||
|
|
ty.isa<fir::HeapType>() || ty.isa<fir::LLVMPointerType>() ||
|
|
ty.isa<mlir::MemRefType>() || ty.isa<mlir::FunctionType>() ||
|
|
ty.isa<fir::TypeDescType>();
|
|
}
|
|
|
|
mlir::LogicalResult ConvertOp::verify() {
|
|
auto inType = getValue().getType();
|
|
auto outType = getType();
|
|
if (inType == outType)
|
|
return mlir::success();
|
|
if ((isPointerCompatible(inType) && isPointerCompatible(outType)) ||
|
|
(isIntegerCompatible(inType) && isIntegerCompatible(outType)) ||
|
|
(isIntegerCompatible(inType) && isFloatCompatible(outType)) ||
|
|
(isFloatCompatible(inType) && isIntegerCompatible(outType)) ||
|
|
(isFloatCompatible(inType) && isFloatCompatible(outType)) ||
|
|
(isIntegerCompatible(inType) && isPointerCompatible(outType)) ||
|
|
(isPointerCompatible(inType) && isIntegerCompatible(outType)) ||
|
|
(inType.isa<fir::BoxType>() && outType.isa<fir::BoxType>()) ||
|
|
(inType.isa<fir::BoxProcType>() && outType.isa<fir::BoxProcType>()) ||
|
|
(fir::isa_complex(inType) && fir::isa_complex(outType)))
|
|
return mlir::success();
|
|
return emitOpError("invalid type conversion");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// CoordinateOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void CoordinateOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' ' << getRef() << ", " << getCoor();
|
|
p.printOptionalAttrDict((*this)->getAttrs(), /*elideAttrs=*/{"baseType"});
|
|
p << " : ";
|
|
p.printFunctionalType(getOperandTypes(), (*this)->getResultTypes());
|
|
}
|
|
|
|
mlir::ParseResult CoordinateOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::OpAsmParser::UnresolvedOperand memref;
|
|
if (parser.parseOperand(memref) || parser.parseComma())
|
|
return mlir::failure();
|
|
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> coorOperands;
|
|
if (parser.parseOperandList(coorOperands))
|
|
return mlir::failure();
|
|
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> allOperands;
|
|
allOperands.push_back(memref);
|
|
allOperands.append(coorOperands.begin(), coorOperands.end());
|
|
mlir::FunctionType funcTy;
|
|
auto loc = parser.getCurrentLocation();
|
|
if (parser.parseOptionalAttrDict(result.attributes) ||
|
|
parser.parseColonType(funcTy) ||
|
|
parser.resolveOperands(allOperands, funcTy.getInputs(), loc,
|
|
result.operands))
|
|
return failure();
|
|
parser.addTypesToList(funcTy.getResults(), result.types);
|
|
result.addAttribute("baseType", mlir::TypeAttr::get(funcTy.getInput(0)));
|
|
return mlir::success();
|
|
}
|
|
|
|
mlir::LogicalResult CoordinateOp::verify() {
|
|
auto refTy = getRef().getType();
|
|
if (fir::isa_ref_type(refTy)) {
|
|
auto eleTy = fir::dyn_cast_ptrEleTy(refTy);
|
|
if (auto arrTy = eleTy.dyn_cast<fir::SequenceType>()) {
|
|
if (arrTy.hasUnknownShape())
|
|
return emitOpError("cannot find coordinate in unknown shape");
|
|
if (arrTy.getConstantRows() < arrTy.getDimension() - 1)
|
|
return emitOpError("cannot find coordinate with unknown extents");
|
|
}
|
|
if (!(fir::isa_aggregate(eleTy) || fir::isa_complex(eleTy) ||
|
|
fir::isa_char_string(eleTy)))
|
|
return emitOpError("cannot apply coordinate_of to this type");
|
|
}
|
|
// Recovering a LEN type parameter only makes sense from a boxed value. For a
|
|
// bare reference, the LEN type parameters must be passed as additional
|
|
// arguments to `op`.
|
|
for (auto co : getCoor())
|
|
if (dyn_cast_or_null<fir::LenParamIndexOp>(co.getDefiningOp())) {
|
|
if (getNumOperands() != 2)
|
|
return emitOpError("len_param_index must be last argument");
|
|
if (!getRef().getType().isa<BoxType>())
|
|
return emitOpError("len_param_index must be used on box type");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// DispatchOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::FunctionType fir::DispatchOp::getFunctionType() {
|
|
return mlir::FunctionType::get(getContext(), getOperandTypes(),
|
|
getResultTypes());
|
|
}
|
|
|
|
mlir::ParseResult DispatchOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::FunctionType calleeType;
|
|
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> operands;
|
|
auto calleeLoc = parser.getNameLoc();
|
|
llvm::StringRef calleeName;
|
|
if (failed(parser.parseOptionalKeyword(&calleeName))) {
|
|
mlir::StringAttr calleeAttr;
|
|
if (parser.parseAttribute(calleeAttr,
|
|
fir::DispatchOp::getMethodAttrNameStr(),
|
|
result.attributes))
|
|
return mlir::failure();
|
|
} else {
|
|
result.addAttribute(fir::DispatchOp::getMethodAttrNameStr(),
|
|
parser.getBuilder().getStringAttr(calleeName));
|
|
}
|
|
if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::Paren) ||
|
|
parser.parseOptionalAttrDict(result.attributes) ||
|
|
parser.parseColonType(calleeType) ||
|
|
parser.addTypesToList(calleeType.getResults(), result.types) ||
|
|
parser.resolveOperands(operands, calleeType.getInputs(), calleeLoc,
|
|
result.operands))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
void DispatchOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' ' << getMethodAttr() << '(';
|
|
p.printOperand(getObject());
|
|
if (!getArgs().empty()) {
|
|
p << ", ";
|
|
p.printOperands(getArgs());
|
|
}
|
|
p << ") : ";
|
|
p.printFunctionalType(getOperation()->getOperandTypes(),
|
|
getOperation()->getResultTypes());
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// DispatchTableOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::DispatchTableOp::appendTableEntry(mlir::Operation *op) {
|
|
assert(mlir::isa<fir::DTEntryOp>(*op) && "operation must be a DTEntryOp");
|
|
auto &block = getBlock();
|
|
block.getOperations().insert(block.end(), op);
|
|
}
|
|
|
|
mlir::ParseResult DispatchTableOp::parse(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();
|
|
}
|
|
|
|
void DispatchTableOp::print(mlir::OpAsmPrinter &p) {
|
|
auto tableName =
|
|
getOperation()
|
|
->getAttrOfType<StringAttr>(mlir::SymbolTable::getSymbolAttrName())
|
|
.getValue();
|
|
p << " @" << tableName;
|
|
|
|
Region &body = getOperation()->getRegion(0);
|
|
if (!body.empty()) {
|
|
p << ' ';
|
|
p.printRegion(body, /*printEntryBlockArgs=*/false,
|
|
/*printBlockTerminators=*/false);
|
|
}
|
|
}
|
|
|
|
mlir::LogicalResult DispatchTableOp::verify() {
|
|
for (auto &op : getBlock())
|
|
if (!(isa<fir::DTEntryOp>(op) || isa<fir::FirEndOp>(op)))
|
|
return op.emitOpError("dispatch table must contain dt_entry");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// EmboxOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult EmboxOp::verify() {
|
|
auto eleTy = fir::dyn_cast_ptrEleTy(getMemref().getType());
|
|
bool isArray = false;
|
|
if (auto seqTy = eleTy.dyn_cast<fir::SequenceType>()) {
|
|
eleTy = seqTy.getEleTy();
|
|
isArray = true;
|
|
}
|
|
if (hasLenParams()) {
|
|
auto lenPs = numLenParams();
|
|
if (auto rt = eleTy.dyn_cast<fir::RecordType>()) {
|
|
if (lenPs != rt.getNumLenParams())
|
|
return emitOpError("number of LEN params does not correspond"
|
|
" to the !fir.type type");
|
|
} else if (auto strTy = eleTy.dyn_cast<fir::CharacterType>()) {
|
|
if (strTy.getLen() != fir::CharacterType::unknownLen())
|
|
return emitOpError("CHARACTER already has static LEN");
|
|
} else {
|
|
return emitOpError("LEN parameters require CHARACTER or derived type");
|
|
}
|
|
for (auto lp : getTypeparams())
|
|
if (!fir::isa_integer(lp.getType()))
|
|
return emitOpError("LEN parameters must be integral type");
|
|
}
|
|
if (getShape() && !isArray)
|
|
return emitOpError("shape must not be provided for a scalar");
|
|
if (getSlice() && !isArray)
|
|
return emitOpError("slice must not be provided for a scalar");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// EmboxCharOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult EmboxCharOp::verify() {
|
|
auto eleTy = fir::dyn_cast_ptrEleTy(getMemref().getType());
|
|
if (!eleTy.dyn_cast_or_null<CharacterType>())
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// EmboxProcOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult EmboxProcOp::verify() {
|
|
// host bindings (optional) must be a reference to a tuple
|
|
if (auto h = getHost()) {
|
|
if (auto r = h.getType().dyn_cast<ReferenceType>())
|
|
if (r.getEleTy().dyn_cast<mlir::TupleType>())
|
|
return mlir::success();
|
|
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()));
|
|
}
|
|
|
|
mlir::ParseResult GenTypeDescOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::Type intype;
|
|
if (parser.parseType(intype))
|
|
return mlir::failure();
|
|
result.addAttribute("in_type", mlir::TypeAttr::get(intype));
|
|
mlir::Type restype = TypeDescType::get(intype);
|
|
if (parser.addTypeToList(restype, result.types))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
void GenTypeDescOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' ' << getOperation()->getAttr("in_type");
|
|
p.printOptionalAttrDict(getOperation()->getAttrs(), {"in_type"});
|
|
}
|
|
|
|
mlir::LogicalResult GenTypeDescOp::verify() {
|
|
mlir::Type resultTy = getType();
|
|
if (auto tdesc = resultTy.dyn_cast<TypeDescType>()) {
|
|
if (tdesc.getOfTy() != getInType())
|
|
return emitOpError("wrapped type mismatched");
|
|
} else {
|
|
return emitOpError("must be !fir.tdesc type");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// GlobalOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::Type fir::GlobalOp::resultType() {
|
|
return wrapAllocaResultType(getType());
|
|
}
|
|
|
|
ParseResult GlobalOp::parse(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::symbolAttrNameStr(),
|
|
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::getTypeAttrName(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();
|
|
}
|
|
|
|
void GlobalOp::print(mlir::OpAsmPrinter &p) {
|
|
if (getLinkName().hasValue())
|
|
p << ' ' << getLinkName().getValue();
|
|
p << ' ';
|
|
p.printAttributeWithoutType(getSymrefAttr());
|
|
if (auto val = getValueOrNull())
|
|
p << '(' << val << ')';
|
|
if (getOperation()->getAttr(fir::GlobalOp::getConstantAttrNameStr()))
|
|
p << " constant";
|
|
p << " : ";
|
|
p.printType(getType());
|
|
if (hasInitializationBody()) {
|
|
p << ' ';
|
|
p.printRegion(getOperation()->getRegion(0),
|
|
/*printEntryBlockArgs=*/false,
|
|
/*printBlockTerminators=*/true);
|
|
}
|
|
}
|
|
|
|
void fir::GlobalOp::appendInitialValue(mlir::Operation *op) {
|
|
getBlock().getOperations().push_back(op);
|
|
}
|
|
|
|
void fir::GlobalOp::build(mlir::OpBuilder &builder, OperationState &result,
|
|
StringRef name, bool isConstant, Type type,
|
|
Attribute initialVal, StringAttr linkage,
|
|
ArrayRef<NamedAttribute> attrs) {
|
|
result.addRegion();
|
|
result.addAttribute(getTypeAttrName(result.name), mlir::TypeAttr::get(type));
|
|
result.addAttribute(mlir::SymbolTable::getSymbolAttrName(),
|
|
builder.getStringAttr(name));
|
|
result.addAttribute(symbolAttrNameStr(),
|
|
SymbolRefAttr::get(builder.getContext(), name));
|
|
if (isConstant)
|
|
result.addAttribute(getConstantAttrName(result.name),
|
|
builder.getUnitAttr());
|
|
if (initialVal)
|
|
result.addAttribute(getInitValAttrName(result.name), initialVal);
|
|
if (linkage)
|
|
result.addAttribute(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",
|
|
"linkonce_odr", "weak"};
|
|
return mlir::success(llvm::is_contained(validNames, linkage));
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// GlobalLenOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::ParseResult GlobalLenOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
llvm::StringRef fieldName;
|
|
if (failed(parser.parseOptionalKeyword(&fieldName))) {
|
|
mlir::StringAttr fieldAttr;
|
|
if (parser.parseAttribute(fieldAttr, fir::GlobalLenOp::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();
|
|
}
|
|
|
|
void GlobalLenOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' ' << getOperation()->getAttr(fir::GlobalLenOp::lenParamAttrName())
|
|
<< ", " << getOperation()->getAttr(fir::GlobalLenOp::intAttrName());
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// FieldIndexOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::ParseResult FieldIndexOp::parse(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::UnresolvedOperand> operands;
|
|
llvm::SmallVector<mlir::Type> types;
|
|
auto loc = parser.getNameLoc();
|
|
if (parser.parseOperandList(operands, mlir::OpAsmParser::Delimiter::None) ||
|
|
parser.parseColonTypeList(types) || parser.parseRParen() ||
|
|
parser.resolveOperands(operands, types, loc, result.operands))
|
|
return mlir::failure();
|
|
}
|
|
mlir::Type fieldType = fir::FieldType::get(builder.getContext());
|
|
if (parser.addTypeToList(fieldType, result.types))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
void FieldIndexOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' '
|
|
<< getOperation()
|
|
->getAttrOfType<mlir::StringAttr>(fir::FieldIndexOp::fieldAttrName())
|
|
.getValue()
|
|
<< ", " << getOperation()->getAttr(fir::FieldIndexOp::typeAttrName());
|
|
if (getNumOperands()) {
|
|
p << '(';
|
|
p.printOperands(getTypeparams());
|
|
const auto *sep = ") : ";
|
|
for (auto op : getTypeparams()) {
|
|
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);
|
|
}
|
|
|
|
llvm::SmallVector<mlir::Attribute> fir::FieldIndexOp::getAttributes() {
|
|
llvm::SmallVector<mlir::Attribute> attrs;
|
|
attrs.push_back(getFieldIdAttr());
|
|
attrs.push_back(getOnTypeAttr());
|
|
return attrs;
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// InsertOnRangeOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static ParseResult
|
|
parseCustomRangeSubscript(mlir::OpAsmParser &parser,
|
|
mlir::DenseIntElementsAttr &coord) {
|
|
llvm::SmallVector<int64_t> lbounds;
|
|
llvm::SmallVector<int64_t> ubounds;
|
|
if (parser.parseKeyword("from") ||
|
|
parser.parseCommaSeparatedList(
|
|
AsmParser::Delimiter::Paren,
|
|
[&] { return parser.parseInteger(lbounds.emplace_back(0)); }) ||
|
|
parser.parseKeyword("to") ||
|
|
parser.parseCommaSeparatedList(AsmParser::Delimiter::Paren, [&] {
|
|
return parser.parseInteger(ubounds.emplace_back(0));
|
|
}))
|
|
return failure();
|
|
llvm::SmallVector<int64_t> zippedBounds;
|
|
for (auto zip : llvm::zip(lbounds, ubounds)) {
|
|
zippedBounds.push_back(std::get<0>(zip));
|
|
zippedBounds.push_back(std::get<1>(zip));
|
|
}
|
|
coord = mlir::Builder(parser.getContext()).getIndexTensorAttr(zippedBounds);
|
|
return success();
|
|
}
|
|
|
|
void printCustomRangeSubscript(mlir::OpAsmPrinter &printer, InsertOnRangeOp op,
|
|
mlir::DenseIntElementsAttr coord) {
|
|
printer << "from (";
|
|
auto enumerate = llvm::enumerate(coord.getValues<int64_t>());
|
|
// Even entries are the lower bounds.
|
|
llvm::interleaveComma(
|
|
make_filter_range(
|
|
enumerate,
|
|
[](auto indexed_value) { return indexed_value.index() % 2 == 0; }),
|
|
printer, [&](auto indexed_value) { printer << indexed_value.value(); });
|
|
printer << ") to (";
|
|
// Odd entries are the upper bounds.
|
|
llvm::interleaveComma(
|
|
make_filter_range(
|
|
enumerate,
|
|
[](auto indexed_value) { return indexed_value.index() % 2 != 0; }),
|
|
printer, [&](auto indexed_value) { printer << indexed_value.value(); });
|
|
printer << ")";
|
|
}
|
|
|
|
/// Range bounds must be nonnegative, and the range must not be empty.
|
|
mlir::LogicalResult InsertOnRangeOp::verify() {
|
|
if (fir::hasDynamicSize(getSeq().getType()))
|
|
return emitOpError("must have constant shape and size");
|
|
mlir::DenseIntElementsAttr coorAttr = getCoor();
|
|
if (coorAttr.size() < 2 || coorAttr.size() % 2 != 0)
|
|
return emitOpError("has uneven number of values in ranges");
|
|
bool rangeIsKnownToBeNonempty = false;
|
|
for (auto i = coorAttr.getValues<int64_t>().end(),
|
|
b = coorAttr.getValues<int64_t>().begin();
|
|
i != b;) {
|
|
int64_t ub = (*--i);
|
|
int64_t lb = (*--i);
|
|
if (lb < 0 || ub < 0)
|
|
return emitOpError("negative range bound");
|
|
if (rangeIsKnownToBeNonempty)
|
|
continue;
|
|
if (lb > ub)
|
|
return emitOpError("empty range");
|
|
rangeIsKnownToBeNonempty = lb < ub;
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// InsertValueOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
static bool checkIsIntegerConstant(mlir::Attribute attr, 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.getAdt().getDefiningOp());
|
|
if (!insval2 || !isa<fir::UndefOp>(insval2.getAdt().getDefiningOp()))
|
|
return mlir::failure();
|
|
auto binf = dyn_cast_or_null<FltOp>(insval.getVal().getDefiningOp());
|
|
auto binf2 = dyn_cast_or_null<FltOp>(insval2.getVal().getDefiningOp());
|
|
if (!binf || !binf2 || insval.getCoor().size() != 1 ||
|
|
!isOne(insval.getCoor()[0]) || insval2.getCoor().size() != 1 ||
|
|
!isZero(insval2.getCoor()[0]))
|
|
return mlir::failure();
|
|
auto eai =
|
|
dyn_cast_or_null<fir::ExtractValueOp>(binf.getLhs().getDefiningOp());
|
|
auto ebi =
|
|
dyn_cast_or_null<fir::ExtractValueOp>(binf.getRhs().getDefiningOp());
|
|
auto ear =
|
|
dyn_cast_or_null<fir::ExtractValueOp>(binf2.getLhs().getDefiningOp());
|
|
auto ebr =
|
|
dyn_cast_or_null<fir::ExtractValueOp>(binf2.getRhs().getDefiningOp());
|
|
if (!eai || !ebi || !ear || !ebr || ear.getAdt() != eai.getAdt() ||
|
|
ebr.getAdt() != ebi.getAdt() || eai.getCoor().size() != 1 ||
|
|
!isOne(eai.getCoor()[0]) || ebi.getCoor().size() != 1 ||
|
|
!isOne(ebi.getCoor()[0]) || ear.getCoor().size() != 1 ||
|
|
!isZero(ear.getCoor()[0]) || ebr.getCoor().size() != 1 ||
|
|
!isZero(ebr.getCoor()[0]))
|
|
return mlir::failure();
|
|
rewriter.replaceOpWithNewOp<CpxOp>(op, ear.getAdt(), ebr.getAdt());
|
|
return mlir::success();
|
|
}
|
|
};
|
|
|
|
void fir::InsertValueOp::getCanonicalizationPatterns(
|
|
mlir::RewritePatternSet &results, mlir::MLIRContext *context) {
|
|
results.insert<UndoComplexPattern<mlir::arith::AddFOp, fir::AddcOp>,
|
|
UndoComplexPattern<mlir::arith::SubFOp, fir::SubcOp>>(context);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// IterWhileOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::IterWhileOp::build(mlir::OpBuilder &builder,
|
|
mlir::OperationState &result, mlir::Value lb,
|
|
mlir::Value ub, mlir::Value step,
|
|
mlir::Value iterate, bool finalCountValue,
|
|
mlir::ValueRange iterArgs,
|
|
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
|
|
result.addOperands({lb, ub, step, iterate});
|
|
if (finalCountValue) {
|
|
result.addTypes(builder.getIndexType());
|
|
result.addAttribute(getFinalValueAttrNameStr(), builder.getUnitAttr());
|
|
}
|
|
result.addTypes(iterate.getType());
|
|
result.addOperands(iterArgs);
|
|
for (auto v : iterArgs)
|
|
result.addTypes(v.getType());
|
|
mlir::Region *bodyRegion = result.addRegion();
|
|
bodyRegion->push_back(new Block{});
|
|
bodyRegion->front().addArgument(builder.getIndexType(), result.location);
|
|
bodyRegion->front().addArgument(iterate.getType(), result.location);
|
|
bodyRegion->front().addArguments(
|
|
iterArgs.getTypes(),
|
|
SmallVector<Location>(iterArgs.size(), result.location));
|
|
result.addAttributes(attributes);
|
|
}
|
|
|
|
mlir::ParseResult IterWhileOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
auto &builder = parser.getBuilder();
|
|
mlir::OpAsmParser::UnresolvedOperand 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::UnresolvedOperand 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::UnresolvedOperand> regionArgs;
|
|
auto prependCount = false;
|
|
|
|
// Induction variable.
|
|
regionArgs.push_back(inductionVariable);
|
|
regionArgs.push_back(iterateVar);
|
|
|
|
if (succeeded(parser.parseOptionalKeyword("iter_args"))) {
|
|
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> operands;
|
|
llvm::SmallVector<mlir::Type> regionTypes;
|
|
// Parse assignment list and results type list.
|
|
if (parser.parseAssignmentList(regionArgs, operands) ||
|
|
parser.parseArrowTypeList(regionTypes))
|
|
return 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::getFinalValueAttrNameStr(),
|
|
builder.getUnitAttr());
|
|
else
|
|
argTypes.push_back(indexType);
|
|
// Loop carried variables (including iterate)
|
|
argTypes.append(result.types.begin(), result.types.end());
|
|
// Parse the body region.
|
|
auto *body = result.addRegion();
|
|
if (regionArgs.size() != argTypes.size())
|
|
return parser.emitError(
|
|
parser.getNameLoc(),
|
|
"mismatch in number of loop-carried values and defined values");
|
|
|
|
if (parser.parseRegion(*body, regionArgs, argTypes))
|
|
return failure();
|
|
|
|
fir::IterWhileOp::ensureTerminator(*body, builder, result.location);
|
|
|
|
return mlir::success();
|
|
}
|
|
|
|
mlir::LogicalResult IterWhileOp::verify() {
|
|
// Check that the body defines as single block argument for the induction
|
|
// variable.
|
|
auto *body = getBody();
|
|
if (!body->getArgument(1).getType().isInteger(1))
|
|
return emitOpError(
|
|
"expected body second argument to be an index argument for "
|
|
"the induction variable");
|
|
if (!body->getArgument(0).getType().isIndex())
|
|
return emitOpError(
|
|
"expected body first argument to be an index argument for "
|
|
"the induction variable");
|
|
|
|
auto opNumResults = getNumResults();
|
|
if (getFinalValue()) {
|
|
// Result type must be "(index, i1, ...)".
|
|
if (!getResult(0).getType().isa<mlir::IndexType>())
|
|
return emitOpError("result #0 expected to be index");
|
|
if (!getResult(1).getType().isSignlessInteger(1))
|
|
return emitOpError("result #1 expected to be i1");
|
|
opNumResults--;
|
|
} else {
|
|
// iterate_while always returns the early exit induction value.
|
|
// Result type must be "(i1, ...)"
|
|
if (!getResult(0).getType().isSignlessInteger(1))
|
|
return emitOpError("result #0 expected to be i1");
|
|
}
|
|
if (opNumResults == 0)
|
|
return mlir::failure();
|
|
if (getNumIterOperands() != opNumResults)
|
|
return emitOpError(
|
|
"mismatch in number of loop-carried values and defined values");
|
|
if (getNumRegionIterArgs() != opNumResults)
|
|
return emitOpError(
|
|
"mismatch in number of basic block args and defined values");
|
|
auto iterOperands = getIterOperands();
|
|
auto iterArgs = getRegionIterArgs();
|
|
auto opResults = getFinalValue() ? getResults().drop_front() : getResults();
|
|
unsigned i = 0;
|
|
for (auto e : llvm::zip(iterOperands, iterArgs, opResults)) {
|
|
if (std::get<0>(e).getType() != std::get<2>(e).getType())
|
|
return emitOpError() << "types mismatch between " << i
|
|
<< "th iter operand and defined value";
|
|
if (std::get<1>(e).getType() != std::get<2>(e).getType())
|
|
return emitOpError() << "types mismatch between " << i
|
|
<< "th iter region arg and defined value";
|
|
|
|
i++;
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
void IterWhileOp::print(mlir::OpAsmPrinter &p) {
|
|
p << " (" << getInductionVar() << " = " << getLowerBound() << " to "
|
|
<< getUpperBound() << " step " << getStep() << ") and (";
|
|
assert(hasIterOperands());
|
|
auto regionArgs = getRegionIterArgs();
|
|
auto operands = getIterOperands();
|
|
p << regionArgs.front() << " = " << *operands.begin() << ")";
|
|
if (regionArgs.size() > 1) {
|
|
p << " iter_args(";
|
|
llvm::interleaveComma(
|
|
llvm::zip(regionArgs.drop_front(), operands.drop_front()), p,
|
|
[&](auto it) { p << std::get<0>(it) << " = " << std::get<1>(it); });
|
|
p << ") -> (";
|
|
llvm::interleaveComma(
|
|
llvm::drop_begin(getResultTypes(), getFinalValue() ? 0 : 1), p);
|
|
p << ")";
|
|
} else if (getFinalValue()) {
|
|
p << " -> (" << getResultTypes() << ')';
|
|
}
|
|
p.printOptionalAttrDictWithKeyword((*this)->getAttrs(),
|
|
{getFinalValueAttrNameStr()});
|
|
p << ' ';
|
|
p.printRegion(getRegion(), /*printEntryBlockArgs=*/false,
|
|
/*printBlockTerminators=*/true);
|
|
}
|
|
|
|
mlir::Region &fir::IterWhileOp::getLoopBody() { return getRegion(); }
|
|
|
|
bool fir::IterWhileOp::isDefinedOutsideOfLoop(mlir::Value value) {
|
|
return !getRegion().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(getInitArgs()))
|
|
if (iterArg == i.value())
|
|
return getRegion().front().getArgument(i.index() + 1);
|
|
return {};
|
|
}
|
|
|
|
void fir::IterWhileOp::resultToSourceOps(
|
|
llvm::SmallVectorImpl<mlir::Value> &results, unsigned resultNum) {
|
|
auto oper = getFinalValue() ? resultNum + 1 : resultNum;
|
|
auto *term = getRegion().front().getTerminator();
|
|
if (oper < term->getNumOperands())
|
|
results.push_back(term->getOperand(oper));
|
|
}
|
|
|
|
mlir::Value fir::IterWhileOp::blockArgToSourceOp(unsigned blockArgNum) {
|
|
if (blockArgNum > 0 && blockArgNum <= getInitArgs().size())
|
|
return getInitArgs()[blockArgNum - 1];
|
|
return {};
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// LenParamIndexOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::ParseResult LenParamIndexOp::parse(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();
|
|
}
|
|
|
|
void LenParamIndexOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' '
|
|
<< getOperation()
|
|
->getAttrOfType<mlir::StringAttr>(
|
|
fir::LenParamIndexOp::fieldAttrName())
|
|
.getValue()
|
|
<< ", " << 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);
|
|
}
|
|
|
|
mlir::ParseResult fir::LoadOp::getElementOf(mlir::Type &ele, mlir::Type ref) {
|
|
if ((ele = fir::dyn_cast_ptrEleTy(ref)))
|
|
return mlir::success();
|
|
return mlir::failure();
|
|
}
|
|
|
|
mlir::ParseResult LoadOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::Type type;
|
|
mlir::OpAsmParser::UnresolvedOperand oper;
|
|
if (parser.parseOperand(oper) ||
|
|
parser.parseOptionalAttrDict(result.attributes) ||
|
|
parser.parseColonType(type) ||
|
|
parser.resolveOperand(oper, type, result.operands))
|
|
return mlir::failure();
|
|
mlir::Type eleTy;
|
|
if (fir::LoadOp::getElementOf(eleTy, type) ||
|
|
parser.addTypeToList(eleTy, result.types))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
void LoadOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' ';
|
|
p.printOperand(getMemref());
|
|
p.printOptionalAttrDict(getOperation()->getAttrs(), {});
|
|
p << " : " << getMemref().getType();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// DoLoopOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::DoLoopOp::build(mlir::OpBuilder &builder,
|
|
mlir::OperationState &result, mlir::Value lb,
|
|
mlir::Value ub, mlir::Value step, bool unordered,
|
|
bool finalCountValue, mlir::ValueRange iterArgs,
|
|
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
|
|
result.addOperands({lb, ub, step});
|
|
result.addOperands(iterArgs);
|
|
if (finalCountValue) {
|
|
result.addTypes(builder.getIndexType());
|
|
result.addAttribute(getFinalValueAttrName(result.name),
|
|
builder.getUnitAttr());
|
|
}
|
|
for (auto v : iterArgs)
|
|
result.addTypes(v.getType());
|
|
mlir::Region *bodyRegion = result.addRegion();
|
|
bodyRegion->push_back(new Block{});
|
|
if (iterArgs.empty() && !finalCountValue)
|
|
DoLoopOp::ensureTerminator(*bodyRegion, builder, result.location);
|
|
bodyRegion->front().addArgument(builder.getIndexType(), result.location);
|
|
bodyRegion->front().addArguments(
|
|
iterArgs.getTypes(),
|
|
SmallVector<Location>(iterArgs.size(), result.location));
|
|
if (unordered)
|
|
result.addAttribute(getUnorderedAttrName(result.name),
|
|
builder.getUnitAttr());
|
|
result.addAttributes(attributes);
|
|
}
|
|
|
|
mlir::ParseResult DoLoopOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
auto &builder = parser.getBuilder();
|
|
mlir::OpAsmParser::UnresolvedOperand 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::UnresolvedOperand> 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::getFinalValueAttrName(result.name),
|
|
builder.getUnitAttr());
|
|
else
|
|
argTypes.push_back(indexType);
|
|
// Loop carried variables
|
|
argTypes.append(result.types.begin(), result.types.end());
|
|
// Parse the body region.
|
|
auto *body = result.addRegion();
|
|
if (regionArgs.size() != argTypes.size())
|
|
return parser.emitError(
|
|
parser.getNameLoc(),
|
|
"mismatch in number of loop-carried values and defined values");
|
|
|
|
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
|
|
mlir::LogicalResult DoLoopOp::verify() {
|
|
// Check that the body defines as single block argument for the induction
|
|
// variable.
|
|
auto *body = getBody();
|
|
if (!body->getArgument(0).getType().isIndex())
|
|
return emitOpError(
|
|
"expected body first argument to be an index argument for "
|
|
"the induction variable");
|
|
|
|
auto opNumResults = getNumResults();
|
|
if (opNumResults == 0)
|
|
return success();
|
|
|
|
if (getFinalValue()) {
|
|
if (getUnordered())
|
|
return emitOpError("unordered loop has no final value");
|
|
opNumResults--;
|
|
}
|
|
if (getNumIterOperands() != opNumResults)
|
|
return emitOpError(
|
|
"mismatch in number of loop-carried values and defined values");
|
|
if (getNumRegionIterArgs() != opNumResults)
|
|
return emitOpError(
|
|
"mismatch in number of basic block args and defined values");
|
|
auto iterOperands = getIterOperands();
|
|
auto iterArgs = getRegionIterArgs();
|
|
auto opResults = getFinalValue() ? getResults().drop_front() : getResults();
|
|
unsigned i = 0;
|
|
for (auto e : llvm::zip(iterOperands, iterArgs, opResults)) {
|
|
if (std::get<0>(e).getType() != std::get<2>(e).getType())
|
|
return emitOpError() << "types mismatch between " << i
|
|
<< "th iter operand and defined value";
|
|
if (std::get<1>(e).getType() != std::get<2>(e).getType())
|
|
return emitOpError() << "types mismatch between " << i
|
|
<< "th iter region arg and defined value";
|
|
|
|
i++;
|
|
}
|
|
return success();
|
|
}
|
|
|
|
void DoLoopOp::print(mlir::OpAsmPrinter &p) {
|
|
bool printBlockTerminators = false;
|
|
p << ' ' << getInductionVar() << " = " << getLowerBound() << " to "
|
|
<< getUpperBound() << " step " << getStep();
|
|
if (getUnordered())
|
|
p << " unordered";
|
|
if (hasIterOperands()) {
|
|
p << " iter_args(";
|
|
auto regionArgs = getRegionIterArgs();
|
|
auto operands = getIterOperands();
|
|
llvm::interleaveComma(llvm::zip(regionArgs, operands), p, [&](auto it) {
|
|
p << std::get<0>(it) << " = " << std::get<1>(it);
|
|
});
|
|
p << ") -> (" << getResultTypes() << ')';
|
|
printBlockTerminators = true;
|
|
} else if (getFinalValue()) {
|
|
p << " -> " << getResultTypes();
|
|
printBlockTerminators = true;
|
|
}
|
|
p.printOptionalAttrDictWithKeyword((*this)->getAttrs(),
|
|
{"unordered", "finalValue"});
|
|
p << ' ';
|
|
p.printRegion(getRegion(), /*printEntryBlockArgs=*/false,
|
|
printBlockTerminators);
|
|
}
|
|
|
|
mlir::Region &fir::DoLoopOp::getLoopBody() { return getRegion(); }
|
|
|
|
bool fir::DoLoopOp::isDefinedOutsideOfLoop(mlir::Value value) {
|
|
return !getRegion().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(getInitArgs()))
|
|
if (iterArg == i.value())
|
|
return getRegion().front().getArgument(i.index() + 1);
|
|
return {};
|
|
}
|
|
|
|
/// Translate the result vector (by index number) to the corresponding value
|
|
/// to the `fir.result` Op.
|
|
void fir::DoLoopOp::resultToSourceOps(
|
|
llvm::SmallVectorImpl<mlir::Value> &results, unsigned resultNum) {
|
|
auto oper = getFinalValue() ? resultNum + 1 : resultNum;
|
|
auto *term = getRegion().front().getTerminator();
|
|
if (oper < term->getNumOperands())
|
|
results.push_back(term->getOperand(oper));
|
|
}
|
|
|
|
/// Translate the block argument (by index number) to the corresponding value
|
|
/// passed as an iter_arg to the parent DoLoopOp.
|
|
mlir::Value fir::DoLoopOp::blockArgToSourceOp(unsigned blockArgNum) {
|
|
if (blockArgNum > 0 && blockArgNum <= getInitArgs().size())
|
|
return getInitArgs()[blockArgNum - 1];
|
|
return {};
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// DTEntryOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::ParseResult DTEntryOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
llvm::StringRef methodName;
|
|
// allow `methodName` or `"methodName"`
|
|
if (failed(parser.parseOptionalKeyword(&methodName))) {
|
|
mlir::StringAttr methodAttr;
|
|
if (parser.parseAttribute(methodAttr,
|
|
fir::DTEntryOp::getMethodAttrNameStr(),
|
|
result.attributes))
|
|
return mlir::failure();
|
|
} else {
|
|
result.addAttribute(fir::DTEntryOp::getMethodAttrNameStr(),
|
|
parser.getBuilder().getStringAttr(methodName));
|
|
}
|
|
mlir::SymbolRefAttr calleeAttr;
|
|
if (parser.parseComma() ||
|
|
parser.parseAttribute(calleeAttr, fir::DTEntryOp::getProcAttrNameStr(),
|
|
result.attributes))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
void DTEntryOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' ' << getMethodAttr() << ", " << getProcAttr();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ReboxOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
/// Get the scalar type related to a fir.box type.
|
|
/// Example: return f32 for !fir.box<!fir.heap<!fir.array<?x?xf32>>.
|
|
static mlir::Type getBoxScalarEleTy(mlir::Type boxTy) {
|
|
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(boxTy);
|
|
if (auto seqTy = eleTy.dyn_cast<fir::SequenceType>())
|
|
return seqTy.getEleTy();
|
|
return eleTy;
|
|
}
|
|
|
|
/// Get the rank from a !fir.box type
|
|
static unsigned getBoxRank(mlir::Type boxTy) {
|
|
auto eleTy = fir::dyn_cast_ptrOrBoxEleTy(boxTy);
|
|
if (auto seqTy = eleTy.dyn_cast<fir::SequenceType>())
|
|
return seqTy.getDimension();
|
|
return 0;
|
|
}
|
|
|
|
/// Test if \p t1 and \p t2 are compatible character types (if they can
|
|
/// represent the same type at runtime).
|
|
static bool areCompatibleCharacterTypes(mlir::Type t1, mlir::Type t2) {
|
|
auto c1 = t1.dyn_cast<fir::CharacterType>();
|
|
auto c2 = t2.dyn_cast<fir::CharacterType>();
|
|
if (!c1 || !c2)
|
|
return false;
|
|
if (c1.hasDynamicLen() || c2.hasDynamicLen())
|
|
return true;
|
|
return c1.getLen() == c2.getLen();
|
|
}
|
|
|
|
mlir::LogicalResult ReboxOp::verify() {
|
|
auto inputBoxTy = getBox().getType();
|
|
if (fir::isa_unknown_size_box(inputBoxTy))
|
|
return emitOpError("box operand must not have unknown rank or type");
|
|
auto outBoxTy = getType();
|
|
if (fir::isa_unknown_size_box(outBoxTy))
|
|
return emitOpError("result type must not have unknown rank or type");
|
|
auto inputRank = getBoxRank(inputBoxTy);
|
|
auto inputEleTy = getBoxScalarEleTy(inputBoxTy);
|
|
auto outRank = getBoxRank(outBoxTy);
|
|
auto outEleTy = getBoxScalarEleTy(outBoxTy);
|
|
|
|
if (auto sliceVal = getSlice()) {
|
|
// Slicing case
|
|
if (sliceVal.getType().cast<fir::SliceType>().getRank() != inputRank)
|
|
return emitOpError("slice operand rank must match box operand rank");
|
|
if (auto shapeVal = getShape()) {
|
|
if (auto shiftTy = shapeVal.getType().dyn_cast<fir::ShiftType>()) {
|
|
if (shiftTy.getRank() != inputRank)
|
|
return emitOpError("shape operand and input box ranks must match "
|
|
"when there is a slice");
|
|
} else {
|
|
return emitOpError("shape operand must absent or be a fir.shift "
|
|
"when there is a slice");
|
|
}
|
|
}
|
|
if (auto sliceOp = sliceVal.getDefiningOp()) {
|
|
auto slicedRank = mlir::cast<fir::SliceOp>(sliceOp).getOutRank();
|
|
if (slicedRank != outRank)
|
|
return emitOpError("result type rank and rank after applying slice "
|
|
"operand must match");
|
|
}
|
|
} else {
|
|
// Reshaping case
|
|
unsigned shapeRank = inputRank;
|
|
if (auto shapeVal = getShape()) {
|
|
auto ty = shapeVal.getType();
|
|
if (auto shapeTy = ty.dyn_cast<fir::ShapeType>()) {
|
|
shapeRank = shapeTy.getRank();
|
|
} else if (auto shapeShiftTy = ty.dyn_cast<fir::ShapeShiftType>()) {
|
|
shapeRank = shapeShiftTy.getRank();
|
|
} else {
|
|
auto shiftTy = ty.cast<fir::ShiftType>();
|
|
shapeRank = shiftTy.getRank();
|
|
if (shapeRank != inputRank)
|
|
return emitOpError("shape operand and input box ranks must match "
|
|
"when the shape is a fir.shift");
|
|
}
|
|
}
|
|
if (shapeRank != outRank)
|
|
return emitOpError("result type and shape operand ranks must match");
|
|
}
|
|
|
|
if (inputEleTy != outEleTy) {
|
|
// TODO: check that outBoxTy is a parent type of inputBoxTy for derived
|
|
// types.
|
|
// Character input and output types with constant length may be different if
|
|
// there is a substring in the slice, otherwise, they must match. If any of
|
|
// the types is a character with dynamic length, the other type can be any
|
|
// character type.
|
|
const bool typeCanMismatch =
|
|
inputEleTy.isa<fir::RecordType>() ||
|
|
(getSlice() && inputEleTy.isa<fir::CharacterType>()) ||
|
|
areCompatibleCharacterTypes(inputEleTy, outEleTy);
|
|
if (!typeCanMismatch)
|
|
return emitOpError(
|
|
"op input and output element types must match for intrinsic types");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ResultOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult ResultOp::verify() {
|
|
auto *parentOp = (*this)->getParentOp();
|
|
auto results = parentOp->getResults();
|
|
auto operands = (*this)->getOperands();
|
|
|
|
if (parentOp->getNumResults() != getNumOperands())
|
|
return emitOpError() << "parent of result must have same arity";
|
|
for (auto e : llvm::zip(results, operands))
|
|
if (std::get<0>(e).getType() != std::get<1>(e).getType())
|
|
return emitOpError() << "types mismatch between result op and its parent";
|
|
return success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// SaveResultOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult SaveResultOp::verify() {
|
|
auto resultType = getValue().getType();
|
|
if (resultType != fir::dyn_cast_ptrEleTy(getMemref().getType()))
|
|
return emitOpError("value type must match memory reference type");
|
|
if (fir::isa_unknown_size_box(resultType))
|
|
return emitOpError("cannot save !fir.box of unknown rank or type");
|
|
|
|
if (resultType.isa<fir::BoxType>()) {
|
|
if (getShape() || !getTypeparams().empty())
|
|
return emitOpError(
|
|
"must not have shape or length operands if the value is a fir.box");
|
|
return mlir::success();
|
|
}
|
|
|
|
// fir.record or fir.array case.
|
|
unsigned shapeTyRank = 0;
|
|
if (auto shapeVal = getShape()) {
|
|
auto shapeTy = shapeVal.getType();
|
|
if (auto s = shapeTy.dyn_cast<fir::ShapeType>())
|
|
shapeTyRank = s.getRank();
|
|
else
|
|
shapeTyRank = shapeTy.cast<fir::ShapeShiftType>().getRank();
|
|
}
|
|
|
|
auto eleTy = resultType;
|
|
if (auto seqTy = resultType.dyn_cast<fir::SequenceType>()) {
|
|
if (seqTy.getDimension() != shapeTyRank)
|
|
emitOpError("shape operand must be provided and have the value rank "
|
|
"when the value is a fir.array");
|
|
eleTy = seqTy.getEleTy();
|
|
} else {
|
|
if (shapeTyRank != 0)
|
|
emitOpError(
|
|
"shape operand should only be provided if the value is a fir.array");
|
|
}
|
|
|
|
if (auto recTy = eleTy.dyn_cast<fir::RecordType>()) {
|
|
if (recTy.getNumLenParams() != getTypeparams().size())
|
|
emitOpError("length parameters number must match with the value type "
|
|
"length parameters");
|
|
} else if (auto charTy = eleTy.dyn_cast<fir::CharacterType>()) {
|
|
if (getTypeparams().size() > 1)
|
|
emitOpError("no more than one length parameter must be provided for "
|
|
"character value");
|
|
} else {
|
|
if (!getTypeparams().empty())
|
|
emitOpError("length parameters must not be provided for this value type");
|
|
}
|
|
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// IntegralSwitchTerminator
|
|
//===----------------------------------------------------------------------===//
|
|
static constexpr llvm::StringRef getCompareOffsetAttr() {
|
|
return "compare_operand_offsets";
|
|
}
|
|
|
|
static constexpr llvm::StringRef getTargetOffsetAttr() {
|
|
return "target_operand_offsets";
|
|
}
|
|
|
|
template <typename OpT>
|
|
static LogicalResult verifyIntegralSwitchTerminator(OpT op) {
|
|
if (!(op.getSelector().getType().template isa<mlir::IntegerType>() ||
|
|
op.getSelector().getType().template isa<mlir::IndexType>() ||
|
|
op.getSelector().getType().template isa<fir::IntegerType>()))
|
|
return op.emitOpError("must be an integer");
|
|
auto cases =
|
|
op->template getAttrOfType<mlir::ArrayAttr>(op.getCasesAttr()).getValue();
|
|
auto count = op.getNumDest();
|
|
if (count == 0)
|
|
return op.emitOpError("must have at least one successor");
|
|
if (op.getNumConditions() != count)
|
|
return op.emitOpError("number of cases and targets don't match");
|
|
if (op.targetOffsetSize() != count)
|
|
return op.emitOpError("incorrect number of successor operand groups");
|
|
for (decltype(count) i = 0; i != count; ++i) {
|
|
if (!(cases[i].template isa<mlir::IntegerAttr, mlir::UnitAttr>()))
|
|
return op.emitOpError("invalid case alternative");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
static mlir::ParseResult parseIntegralSwitchTerminator(
|
|
mlir::OpAsmParser &parser, mlir::OperationState &result,
|
|
llvm::StringRef casesAttr, llvm::StringRef operandSegmentAttr) {
|
|
mlir::OpAsmParser::UnresolvedOperand selector;
|
|
mlir::Type type;
|
|
if (parseSelector(parser, result, selector, type))
|
|
return mlir::failure();
|
|
|
|
llvm::SmallVector<mlir::Attribute> ivalues;
|
|
llvm::SmallVector<mlir::Block *> dests;
|
|
llvm::SmallVector<llvm::SmallVector<mlir::Value>> destArgs;
|
|
while (true) {
|
|
mlir::Attribute ivalue; // Integer or Unit
|
|
mlir::Block *dest;
|
|
llvm::SmallVector<mlir::Value> destArg;
|
|
mlir::NamedAttrList temp;
|
|
if (parser.parseAttribute(ivalue, "i", temp) || parser.parseComma() ||
|
|
parser.parseSuccessorAndUseList(dest, destArg))
|
|
return mlir::failure();
|
|
ivalues.push_back(ivalue);
|
|
dests.push_back(dest);
|
|
destArgs.push_back(destArg);
|
|
if (!parser.parseOptionalRSquare())
|
|
break;
|
|
if (parser.parseComma())
|
|
return mlir::failure();
|
|
}
|
|
auto &bld = parser.getBuilder();
|
|
result.addAttribute(casesAttr, bld.getArrayAttr(ivalues));
|
|
llvm::SmallVector<int32_t> argOffs;
|
|
int32_t sumArgs = 0;
|
|
const auto count = dests.size();
|
|
for (std::remove_const_t<decltype(count)> i = 0; i != count; ++i) {
|
|
result.addSuccessors(dests[i]);
|
|
result.addOperands(destArgs[i]);
|
|
auto argSize = destArgs[i].size();
|
|
argOffs.push_back(argSize);
|
|
sumArgs += argSize;
|
|
}
|
|
result.addAttribute(operandSegmentAttr,
|
|
bld.getI32VectorAttr({1, 0, sumArgs}));
|
|
result.addAttribute(getTargetOffsetAttr(), bld.getI32VectorAttr(argOffs));
|
|
return mlir::success();
|
|
}
|
|
|
|
template <typename OpT>
|
|
static void printIntegralSwitchTerminator(OpT op, mlir::OpAsmPrinter &p) {
|
|
p << ' ';
|
|
p.printOperand(op.getSelector());
|
|
p << " : " << op.getSelector().getType() << " [";
|
|
auto cases =
|
|
op->template getAttrOfType<mlir::ArrayAttr>(op.getCasesAttr()).getValue();
|
|
auto count = op.getNumConditions();
|
|
for (decltype(count) i = 0; i != count; ++i) {
|
|
if (i)
|
|
p << ", ";
|
|
auto &attr = cases[i];
|
|
if (auto intAttr = attr.template dyn_cast_or_null<mlir::IntegerAttr>())
|
|
p << intAttr.getValue();
|
|
else
|
|
p.printAttribute(attr);
|
|
p << ", ";
|
|
op.printSuccessorAtIndex(p, i);
|
|
}
|
|
p << ']';
|
|
p.printOptionalAttrDict(
|
|
op->getAttrs(), {op.getCasesAttr(), getCompareOffsetAttr(),
|
|
getTargetOffsetAttr(), op.getOperandSegmentSizeAttr()});
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// SelectOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult fir::SelectOp::verify() {
|
|
return verifyIntegralSwitchTerminator(*this);
|
|
}
|
|
|
|
mlir::ParseResult fir::SelectOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
return parseIntegralSwitchTerminator(parser, result, getCasesAttr(),
|
|
getOperandSegmentSizeAttr());
|
|
}
|
|
|
|
void fir::SelectOp::print(mlir::OpAsmPrinter &p) {
|
|
printIntegralSwitchTerminator(*this, p);
|
|
}
|
|
|
|
template <typename A, typename... AdditionalArgs>
|
|
static A getSubOperands(unsigned pos, A allArgs,
|
|
mlir::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.getValue().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, getTargetArgsMutable(),
|
|
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, getCompareArgs(), 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, getTargetArgsMutable(),
|
|
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
|
|
mlir::ParseResult SelectCaseOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::OpAsmParser::UnresolvedOperand selector;
|
|
mlir::Type type;
|
|
if (parseSelector(parser, result, selector, type))
|
|
return mlir::failure();
|
|
|
|
llvm::SmallVector<mlir::Attribute> attrs;
|
|
llvm::SmallVector<mlir::OpAsmParser::UnresolvedOperand> opers;
|
|
llvm::SmallVector<mlir::Block *> dests;
|
|
llvm::SmallVector<llvm::SmallVector<mlir::Value>> destArgs;
|
|
llvm::SmallVector<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::UnresolvedOperand oper1;
|
|
mlir::OpAsmParser::UnresolvedOperand oper2;
|
|
if (parser.parseOperand(oper1) || parser.parseComma() ||
|
|
parser.parseOperand(oper2) || parser.parseComma())
|
|
return mlir::failure();
|
|
opers.push_back(oper1);
|
|
opers.push_back(oper2);
|
|
argOffs.push_back(2);
|
|
offSize += 2;
|
|
} else {
|
|
mlir::OpAsmParser::UnresolvedOperand oper;
|
|
if (parser.parseOperand(oper) || parser.parseComma())
|
|
return mlir::failure();
|
|
opers.push_back(oper);
|
|
argOffs.push_back(1);
|
|
++offSize;
|
|
}
|
|
if (parser.parseSuccessorAndUseList(dest, destArg))
|
|
return mlir::failure();
|
|
dests.push_back(dest);
|
|
destArgs.push_back(destArg);
|
|
if (mlir::succeeded(parser.parseOptionalRSquare()))
|
|
break;
|
|
if (parser.parseComma())
|
|
return mlir::failure();
|
|
}
|
|
result.addAttribute(fir::SelectCaseOp::getCasesAttr(),
|
|
parser.getBuilder().getArrayAttr(attrs));
|
|
if (parser.resolveOperands(opers, type, result.operands))
|
|
return mlir::failure();
|
|
llvm::SmallVector<int32_t> targOffs;
|
|
int32_t toffSize = 0;
|
|
const auto count = dests.size();
|
|
for (std::remove_const_t<decltype(count)> i = 0; i != count; ++i) {
|
|
result.addSuccessors(dests[i]);
|
|
result.addOperands(destArgs[i]);
|
|
auto argSize = destArgs[i].size();
|
|
targOffs.push_back(argSize);
|
|
toffSize += argSize;
|
|
}
|
|
auto &bld = parser.getBuilder();
|
|
result.addAttribute(fir::SelectCaseOp::getOperandSegmentSizeAttr(),
|
|
bld.getI32VectorAttr({1, offSize, toffSize}));
|
|
result.addAttribute(getCompareOffsetAttr(), bld.getI32VectorAttr(argOffs));
|
|
result.addAttribute(getTargetOffsetAttr(), bld.getI32VectorAttr(targOffs));
|
|
return mlir::success();
|
|
}
|
|
|
|
void SelectCaseOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' ';
|
|
p.printOperand(getSelector());
|
|
p << " : " << getSelector().getType() << " [";
|
|
auto cases =
|
|
getOperation()->getAttrOfType<mlir::ArrayAttr>(getCasesAttr()).getValue();
|
|
auto count = getNumConditions();
|
|
for (decltype(count) i = 0; i != count; ++i) {
|
|
if (i)
|
|
p << ", ";
|
|
p << cases[i] << ", ";
|
|
if (!cases[i].isa<mlir::UnitAttr>()) {
|
|
auto caseArgs = *getCompareOperands(i);
|
|
p.printOperand(*caseArgs.begin());
|
|
p << ", ";
|
|
if (cases[i].isa<fir::ClosedIntervalAttr>()) {
|
|
p.printOperand(*(++caseArgs.begin()));
|
|
p << ", ";
|
|
}
|
|
}
|
|
printSuccessorAtIndex(p, i);
|
|
}
|
|
p << ']';
|
|
p.printOptionalAttrDict(getOperation()->getAttrs(),
|
|
{getCasesAttr(), getCompareOffsetAttr(),
|
|
getTargetOffsetAttr(), getOperandSegmentSizeAttr()});
|
|
}
|
|
|
|
unsigned fir::SelectCaseOp::compareOffsetSize() {
|
|
return 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);
|
|
}
|
|
|
|
mlir::LogicalResult SelectCaseOp::verify() {
|
|
if (!(getSelector().getType().isa<mlir::IntegerType>() ||
|
|
getSelector().getType().isa<mlir::IndexType>() ||
|
|
getSelector().getType().isa<fir::IntegerType>() ||
|
|
getSelector().getType().isa<fir::LogicalType>() ||
|
|
getSelector().getType().isa<fir::CharacterType>()))
|
|
return emitOpError("must be an integer, character, or logical");
|
|
auto cases =
|
|
getOperation()->getAttrOfType<mlir::ArrayAttr>(getCasesAttr()).getValue();
|
|
auto count = getNumDest();
|
|
if (count == 0)
|
|
return emitOpError("must have at least one successor");
|
|
if (getNumConditions() != count)
|
|
return emitOpError("number of conditions and successors don't match");
|
|
if (compareOffsetSize() != count)
|
|
return emitOpError("incorrect number of compare operand groups");
|
|
if (targetOffsetSize() != count)
|
|
return emitOpError("incorrect number of successor operand groups");
|
|
for (decltype(count) i = 0; i != count; ++i) {
|
|
auto &attr = cases[i];
|
|
if (!(attr.isa<fir::PointIntervalAttr>() ||
|
|
attr.isa<fir::LowerBoundAttr>() || attr.isa<fir::UpperBoundAttr>() ||
|
|
attr.isa<fir::ClosedIntervalAttr>() || attr.isa<mlir::UnitAttr>()))
|
|
return emitOpError("incorrect select case attribute type");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// SelectRankOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
LogicalResult fir::SelectRankOp::verify() {
|
|
return verifyIntegralSwitchTerminator(*this);
|
|
}
|
|
|
|
mlir::ParseResult fir::SelectRankOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
return parseIntegralSwitchTerminator(parser, result, getCasesAttr(),
|
|
getOperandSegmentSizeAttr());
|
|
}
|
|
|
|
void fir::SelectRankOp::print(mlir::OpAsmPrinter &p) {
|
|
printIntegralSwitchTerminator(*this, p);
|
|
}
|
|
|
|
llvm::Optional<mlir::OperandRange>
|
|
fir::SelectRankOp::getCompareOperands(unsigned) {
|
|
return {};
|
|
}
|
|
|
|
llvm::Optional<llvm::ArrayRef<mlir::Value>>
|
|
fir::SelectRankOp::getCompareOperands(llvm::ArrayRef<mlir::Value>, unsigned) {
|
|
return {};
|
|
}
|
|
|
|
llvm::Optional<mlir::MutableOperandRange>
|
|
fir::SelectRankOp::getMutableSuccessorOperands(unsigned oper) {
|
|
return ::getMutableSuccessorOperands(oper, getTargetArgsMutable(),
|
|
getTargetOffsetAttr());
|
|
}
|
|
|
|
llvm::Optional<llvm::ArrayRef<mlir::Value>>
|
|
fir::SelectRankOp::getSuccessorOperands(llvm::ArrayRef<mlir::Value> operands,
|
|
unsigned oper) {
|
|
auto a =
|
|
(*this)->getAttrOfType<mlir::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, getTargetArgsMutable(),
|
|
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)};
|
|
}
|
|
|
|
ParseResult SelectTypeOp::parse(OpAsmParser &parser, OperationState &result) {
|
|
mlir::OpAsmParser::UnresolvedOperand 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()));
|
|
}
|
|
|
|
void SelectTypeOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' ';
|
|
p.printOperand(getSelector());
|
|
p << " : " << getSelector().getType() << " [";
|
|
auto cases =
|
|
getOperation()->getAttrOfType<mlir::ArrayAttr>(getCasesAttr()).getValue();
|
|
auto count = getNumConditions();
|
|
for (decltype(count) i = 0; i != count; ++i) {
|
|
if (i)
|
|
p << ", ";
|
|
p << cases[i] << ", ";
|
|
printSuccessorAtIndex(p, i);
|
|
}
|
|
p << ']';
|
|
p.printOptionalAttrDict(getOperation()->getAttrs(),
|
|
{getCasesAttr(), getCompareOffsetAttr(),
|
|
getTargetOffsetAttr(),
|
|
fir::SelectTypeOp::getOperandSegmentSizeAttr()});
|
|
}
|
|
|
|
mlir::LogicalResult SelectTypeOp::verify() {
|
|
if (!(getSelector().getType().isa<fir::BoxType>()))
|
|
return emitOpError("must be a boxed type");
|
|
auto cases =
|
|
getOperation()->getAttrOfType<mlir::ArrayAttr>(getCasesAttr()).getValue();
|
|
auto count = getNumDest();
|
|
if (count == 0)
|
|
return emitOpError("must have at least one successor");
|
|
if (getNumConditions() != count)
|
|
return emitOpError("number of conditions and successors don't match");
|
|
if (targetOffsetSize() != count)
|
|
return emitOpError("incorrect number of successor operand groups");
|
|
for (decltype(count) i = 0; i != count; ++i) {
|
|
auto &attr = cases[i];
|
|
if (!(attr.isa<fir::ExactTypeAttr>() || attr.isa<fir::SubclassAttr>() ||
|
|
attr.isa<mlir::UnitAttr>()))
|
|
return emitOpError("invalid type-case alternative");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
void fir::SelectTypeOp::build(mlir::OpBuilder &builder,
|
|
mlir::OperationState &result,
|
|
mlir::Value selector,
|
|
llvm::ArrayRef<mlir::Attribute> typeOperands,
|
|
llvm::ArrayRef<mlir::Block *> destinations,
|
|
llvm::ArrayRef<mlir::ValueRange> destOperands,
|
|
llvm::ArrayRef<mlir::NamedAttribute> attributes) {
|
|
result.addOperands(selector);
|
|
result.addAttribute(getCasesAttr(), builder.getArrayAttr(typeOperands));
|
|
const auto count = destinations.size();
|
|
for (mlir::Block *dest : destinations)
|
|
result.addSuccessors(dest);
|
|
const auto opCount = destOperands.size();
|
|
llvm::SmallVector<int32_t> argOffs;
|
|
int32_t sumArgs = 0;
|
|
for (std::remove_const_t<decltype(count)> i = 0; i != count; ++i) {
|
|
if (i < opCount) {
|
|
result.addOperands(destOperands[i]);
|
|
const auto argSz = destOperands[i].size();
|
|
argOffs.push_back(argSz);
|
|
sumArgs += argSz;
|
|
} else {
|
|
argOffs.push_back(0);
|
|
}
|
|
}
|
|
result.addAttribute(getOperandSegmentSizeAttr(),
|
|
builder.getI32VectorAttr({1, 0, sumArgs}));
|
|
result.addAttribute(getTargetOffsetAttr(), builder.getI32VectorAttr(argOffs));
|
|
result.addAttributes(attributes);
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ShapeOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult ShapeOp::verify() {
|
|
auto size = getExtents().size();
|
|
auto shapeTy = getType().dyn_cast<fir::ShapeType>();
|
|
assert(shapeTy && "must be a shape type");
|
|
if (shapeTy.getRank() != size)
|
|
return emitOpError("shape type rank mismatch");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ShapeShiftOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult ShapeShiftOp::verify() {
|
|
auto size = getPairs().size();
|
|
if (size < 2 || size > 16 * 2)
|
|
return emitOpError("incorrect number of args");
|
|
if (size % 2 != 0)
|
|
return emitOpError("requires a multiple of 2 args");
|
|
auto shapeTy = getType().dyn_cast<fir::ShapeShiftType>();
|
|
assert(shapeTy && "must be a shape shift type");
|
|
if (shapeTy.getRank() * 2 != size)
|
|
return emitOpError("shape type rank mismatch");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// ShiftOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult ShiftOp::verify() {
|
|
auto size = getOrigins().size();
|
|
auto shiftTy = getType().dyn_cast<fir::ShiftType>();
|
|
assert(shiftTy && "must be a shift type");
|
|
if (shiftTy.getRank() != size)
|
|
return emitOpError("shift type rank mismatch");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// SliceOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::SliceOp::build(mlir::OpBuilder &builder, mlir::OperationState &result,
|
|
mlir::ValueRange trips, mlir::ValueRange path,
|
|
mlir::ValueRange substr) {
|
|
const auto rank = trips.size() / 3;
|
|
auto sliceTy = fir::SliceType::get(builder.getContext(), rank);
|
|
build(builder, result, sliceTy, trips, path, substr);
|
|
}
|
|
|
|
/// Return the output rank of a slice op. The output rank must be between 1 and
|
|
/// the rank of the array being sliced (inclusive).
|
|
unsigned fir::SliceOp::getOutputRank(mlir::ValueRange triples) {
|
|
unsigned rank = 0;
|
|
if (!triples.empty()) {
|
|
for (unsigned i = 1, end = triples.size(); i < end; i += 3) {
|
|
auto *op = triples[i].getDefiningOp();
|
|
if (!mlir::isa_and_nonnull<fir::UndefOp>(op))
|
|
++rank;
|
|
}
|
|
assert(rank > 0);
|
|
}
|
|
return rank;
|
|
}
|
|
|
|
mlir::LogicalResult SliceOp::verify() {
|
|
auto size = getTriples().size();
|
|
if (size < 3 || size > 16 * 3)
|
|
return emitOpError("incorrect number of args for triple");
|
|
if (size % 3 != 0)
|
|
return emitOpError("requires a multiple of 3 args");
|
|
auto sliceTy = getType().dyn_cast<fir::SliceType>();
|
|
assert(sliceTy && "must be a slice type");
|
|
if (sliceTy.getRank() * 3 != size)
|
|
return emitOpError("slice type rank mismatch");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// StoreOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::Type fir::StoreOp::elementType(mlir::Type refType) {
|
|
return fir::dyn_cast_ptrEleTy(refType);
|
|
}
|
|
|
|
mlir::ParseResult StoreOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
mlir::Type type;
|
|
mlir::OpAsmParser::UnresolvedOperand oper;
|
|
mlir::OpAsmParser::UnresolvedOperand store;
|
|
if (parser.parseOperand(oper) || parser.parseKeyword("to") ||
|
|
parser.parseOperand(store) ||
|
|
parser.parseOptionalAttrDict(result.attributes) ||
|
|
parser.parseColonType(type) ||
|
|
parser.resolveOperand(oper, fir::StoreOp::elementType(type),
|
|
result.operands) ||
|
|
parser.resolveOperand(store, type, result.operands))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
void StoreOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' ';
|
|
p.printOperand(getValue());
|
|
p << " to ";
|
|
p.printOperand(getMemref());
|
|
p.printOptionalAttrDict(getOperation()->getAttrs(), {});
|
|
p << " : " << getMemref().getType();
|
|
}
|
|
|
|
mlir::LogicalResult StoreOp::verify() {
|
|
if (getValue().getType() != fir::dyn_cast_ptrEleTy(getMemref().getType()))
|
|
return emitOpError("store value type must match memory reference type");
|
|
if (fir::isa_unknown_size_box(getValue().getType()))
|
|
return emitOpError("cannot store !fir.box of unknown rank or type");
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// StringLitOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
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);
|
|
}
|
|
|
|
mlir::ParseResult StringLitOp::parse(mlir::OpAsmParser &parser,
|
|
mlir::OperationState &result) {
|
|
auto &builder = parser.getBuilder();
|
|
mlir::Attribute val;
|
|
mlir::NamedAttrList attrs;
|
|
llvm::SMLoc trailingTypeLoc;
|
|
if (parser.parseAttribute(val, "fake", attrs))
|
|
return mlir::failure();
|
|
if (auto v = val.dyn_cast<mlir::StringAttr>())
|
|
result.attributes.push_back(
|
|
builder.getNamedAttr(fir::StringLitOp::value(), v));
|
|
else if (auto v = val.dyn_cast<mlir::ArrayAttr>())
|
|
result.attributes.push_back(
|
|
builder.getNamedAttr(fir::StringLitOp::xlist(), v));
|
|
else
|
|
return parser.emitError(parser.getCurrentLocation(),
|
|
"found an invalid constant");
|
|
mlir::IntegerAttr sz;
|
|
mlir::Type type;
|
|
if (parser.parseLParen() ||
|
|
parser.parseAttribute(sz, fir::StringLitOp::size(), result.attributes) ||
|
|
parser.parseRParen() || parser.getCurrentLocation(&trailingTypeLoc) ||
|
|
parser.parseColonType(type))
|
|
return mlir::failure();
|
|
auto charTy = type.dyn_cast<fir::CharacterType>();
|
|
if (!charTy)
|
|
return parser.emitError(trailingTypeLoc, "must have character type");
|
|
type = fir::CharacterType::get(builder.getContext(), charTy.getFKind(),
|
|
sz.getInt());
|
|
if (!type || parser.addTypesToList(type, result.types))
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
void StringLitOp::print(mlir::OpAsmPrinter &p) {
|
|
p << ' ' << getValue() << '(';
|
|
p << getSize().cast<mlir::IntegerAttr>().getValue() << ") : ";
|
|
p.printType(getType());
|
|
}
|
|
|
|
mlir::LogicalResult StringLitOp::verify() {
|
|
if (getSize().cast<mlir::IntegerAttr>().getValue().isNegative())
|
|
return emitOpError("size must be non-negative");
|
|
if (auto xl = getOperation()->getAttr(fir::StringLitOp::xlist())) {
|
|
auto xList = xl.cast<mlir::ArrayAttr>();
|
|
for (auto a : xList)
|
|
if (!a.isa<mlir::IntegerAttr>())
|
|
return emitOpError("values in list must be integers");
|
|
}
|
|
return mlir::success();
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// UnboxProcOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::LogicalResult UnboxProcOp::verify() {
|
|
if (auto eleTy = fir::dyn_cast_ptrEleTy(getRefTuple().getType()))
|
|
if (eleTy.isa<mlir::TupleType>())
|
|
return mlir::success();
|
|
return emitOpError("second output argument has bad type");
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// IfOp
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
void fir::IfOp::build(mlir::OpBuilder &builder, 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);
|
|
}
|
|
}
|
|
|
|
mlir::ParseResult IfOp::parse(OpAsmParser &parser, OperationState &result) {
|
|
result.regions.reserve(2);
|
|
mlir::Region *thenRegion = result.addRegion();
|
|
mlir::Region *elseRegion = result.addRegion();
|
|
|
|
auto &builder = parser.getBuilder();
|
|
OpAsmParser::UnresolvedOperand cond;
|
|
mlir::Type i1Type = builder.getIntegerType(1);
|
|
if (parser.parseOperand(cond) ||
|
|
parser.resolveOperand(cond, i1Type, result.operands))
|
|
return mlir::failure();
|
|
|
|
if (parser.parseOptionalArrowTypeList(result.types))
|
|
return mlir::failure();
|
|
|
|
if (parser.parseRegion(*thenRegion, {}, {}))
|
|
return mlir::failure();
|
|
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();
|
|
}
|
|
|
|
LogicalResult IfOp::verify() {
|
|
if (getNumResults() != 0 && getElseRegion().empty())
|
|
return emitOpError("must have an else block if defining values");
|
|
|
|
return mlir::success();
|
|
}
|
|
|
|
void IfOp::print(mlir::OpAsmPrinter &p) {
|
|
bool printBlockTerminators = false;
|
|
p << ' ' << getCondition();
|
|
if (!getResults().empty()) {
|
|
p << " -> (" << getResultTypes() << ')';
|
|
printBlockTerminators = true;
|
|
}
|
|
p << ' ';
|
|
p.printRegion(getThenRegion(), /*printEntryBlockArgs=*/false,
|
|
printBlockTerminators);
|
|
|
|
// Print the 'else' regions if it exists and has a block.
|
|
auto &otherReg = getElseRegion();
|
|
if (!otherReg.empty()) {
|
|
p << " else ";
|
|
p.printRegion(otherReg, /*printEntryBlockArgs=*/false,
|
|
printBlockTerminators);
|
|
}
|
|
p.printOptionalAttrDict((*this)->getAttrs());
|
|
}
|
|
|
|
void fir::IfOp::resultToSourceOps(llvm::SmallVectorImpl<mlir::Value> &results,
|
|
unsigned resultNum) {
|
|
auto *term = getThenRegion().front().getTerminator();
|
|
if (resultNum < term->getNumOperands())
|
|
results.push_back(term->getOperand(resultNum));
|
|
term = getElseRegion().front().getTerminator();
|
|
if (resultNum < term->getNumOperands())
|
|
results.push_back(term->getOperand(resultNum));
|
|
}
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
mlir::ParseResult fir::isValidCaseAttr(mlir::Attribute attr) {
|
|
if (attr.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::UnresolvedOperand &selector,
|
|
mlir::Type &type) {
|
|
if (parser.parseOperand(selector) || parser.parseColonType(type) ||
|
|
parser.resolveOperand(selector, type, result.operands) ||
|
|
parser.parseLSquare())
|
|
return mlir::failure();
|
|
return mlir::success();
|
|
}
|
|
|
|
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::hasHostAssociationArgument(mlir::FuncOp func) {
|
|
if (auto allArgAttrs = func.getAllArgAttrs())
|
|
for (auto attr : allArgAttrs)
|
|
if (auto dict = attr.template dyn_cast_or_null<mlir::DictionaryAttr>())
|
|
if (dict.get(fir::getHostAssocAttrName()))
|
|
return true;
|
|
return false;
|
|
}
|
|
|
|
bool fir::valueHasFirAttribute(mlir::Value value,
|
|
llvm::StringRef attributeName) {
|
|
// If this is a fir.box that was loaded, the fir attributes will be on the
|
|
// related fir.ref<fir.box> creation.
|
|
if (value.getType().isa<fir::BoxType>())
|
|
if (auto definingOp = value.getDefiningOp())
|
|
if (auto loadOp = mlir::dyn_cast<fir::LoadOp>(definingOp))
|
|
value = loadOp.getMemref();
|
|
// If this is a function argument, look in the argument attributes.
|
|
if (auto blockArg = value.dyn_cast<mlir::BlockArgument>()) {
|
|
if (blockArg.getOwner() && blockArg.getOwner()->isEntryBlock())
|
|
if (auto funcOp =
|
|
mlir::dyn_cast<mlir::FuncOp>(blockArg.getOwner()->getParentOp()))
|
|
if (funcOp.getArgAttr(blockArg.getArgNumber(), attributeName))
|
|
return true;
|
|
return false;
|
|
}
|
|
|
|
if (auto definingOp = value.getDefiningOp()) {
|
|
// If this is an allocated value, look at the allocation attributes.
|
|
if (mlir::isa<fir::AllocMemOp>(definingOp) ||
|
|
mlir::isa<AllocaOp>(definingOp))
|
|
return definingOp->hasAttr(attributeName);
|
|
// If this is an imported global, look at AddrOfOp and GlobalOp attributes.
|
|
// Both operations are looked at because use/host associated variable (the
|
|
// AddrOfOp) can have ASYNCHRONOUS/VOLATILE attributes even if the ultimate
|
|
// entity (the globalOp) does not have them.
|
|
if (auto addressOfOp = mlir::dyn_cast<fir::AddrOfOp>(definingOp)) {
|
|
if (addressOfOp->hasAttr(attributeName))
|
|
return true;
|
|
if (auto module = definingOp->getParentOfType<mlir::ModuleOp>())
|
|
if (auto globalOp =
|
|
module.lookupSymbol<fir::GlobalOp>(addressOfOp.getSymbol()))
|
|
return globalOp->hasAttr(attributeName);
|
|
}
|
|
}
|
|
// TODO: Construct associated entities attributes. Decide where the fir
|
|
// attributes must be placed/looked for in this case.
|
|
return false;
|
|
}
|
|
|
|
bool fir::anyFuncArgsHaveAttr(mlir::FuncOp func, llvm::StringRef attr) {
|
|
for (unsigned i = 0, end = func.getNumArguments(); i < end; ++i)
|
|
if (func.getArgAttr(i, attr))
|
|
return true;
|
|
return false;
|
|
}
|
|
|
|
mlir::Type fir::applyPathToType(mlir::Type eleTy, mlir::ValueRange path) {
|
|
for (auto i = path.begin(), end = path.end(); eleTy && i < end;) {
|
|
eleTy = llvm::TypeSwitch<mlir::Type, mlir::Type>(eleTy)
|
|
.Case<fir::RecordType>([&](fir::RecordType ty) {
|
|
if (auto *op = (*i++).getDefiningOp()) {
|
|
if (auto off = mlir::dyn_cast<fir::FieldIndexOp>(op))
|
|
return ty.getType(off.getFieldName());
|
|
if (auto off = mlir::dyn_cast<mlir::arith::ConstantOp>(op))
|
|
return ty.getType(fir::toInt(off));
|
|
}
|
|
return mlir::Type{};
|
|
})
|
|
.Case<fir::SequenceType>([&](fir::SequenceType ty) {
|
|
bool valid = true;
|
|
const auto rank = ty.getDimension();
|
|
for (std::remove_const_t<decltype(rank)> ii = 0;
|
|
valid && ii < rank; ++ii)
|
|
valid = i < end && fir::isa_integer((*i++).getType());
|
|
return valid ? ty.getEleTy() : mlir::Type{};
|
|
})
|
|
.Case<mlir::TupleType>([&](mlir::TupleType ty) {
|
|
if (auto *op = (*i++).getDefiningOp())
|
|
if (auto off = mlir::dyn_cast<mlir::arith::ConstantOp>(op))
|
|
return ty.getType(fir::toInt(off));
|
|
return mlir::Type{};
|
|
})
|
|
.Case<fir::ComplexType>([&](fir::ComplexType ty) {
|
|
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"
|