123 lines
4.0 KiB
C
123 lines
4.0 KiB
C
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/* -*- C++ -*-
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* Serene programming language.
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*
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* Copyright (c) 2019-2021 Sameer Rahmani <lxsameer@gnu.org>
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef SERENE_SLIR_TRAITS_H
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#define SERENE_SLIR_TRAITS_H
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#include "serene/slir/dialect.h"
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#include "serene/traits.h"
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#include <llvm/ADT/STLExtras.h>
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#include <llvm/IR/Module.h>
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#include <llvm/Support/Casting.h>
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#include <llvm/Support/TargetSelect.h>
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#include <mlir/ExecutionEngine/ExecutionEngine.h>
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#include <mlir/ExecutionEngine/OptUtils.h>
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#include <mlir/IR/BuiltinOps.h>
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#include <mlir/IR/MLIRContext.h>
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#include <mlir/Support/LogicalResult.h>
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#include <mlir/Target/LLVMIR/Dialect/LLVMIR/LLVMToLLVMIRTranslation.h>
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#include <mlir/Target/LLVMIR/ModuleTranslation.h>
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#include <stdexcept>
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#include <utility>
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namespace serene {
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class Namespace;
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class SereneContext;
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} // namespace serene
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namespace serene::slir {
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template <typename T>
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class GeneratableUnit : public TraitBase<T, GeneratableUnit> {
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public:
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GeneratableUnit(){};
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GeneratableUnit(const GeneratableUnit &) = delete;
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void generate(serene::Namespace &ns) { this->Object().generateIR(ns); };
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};
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template <typename T>
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class Generatable : public TraitBase<T, Generatable> {
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public:
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Generatable(){};
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Generatable(const Generatable &) = delete;
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mlir::LogicalResult generate() { return this->Object().generate(); };
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mlir::LogicalResult runPasses() { return this->Object().runPasses(); };
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mlir::ModuleOp &getModule() { return this->Object().getModule(); };
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serene::SereneContext &getContext() { return this->Object().getContext(); };
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void dump() { this->Object().dump(); };
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};
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template <typename T>
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mlir::LogicalResult generate(Generatable<T> &t) {
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return t.generate();
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};
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template <typename T>
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std::unique_ptr<llvm::Module> toLLVMIR(Generatable<T> &t) {
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auto &module = t.getModule();
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auto &ctx = t.getContext();
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// Register the translation to LLVM IR with the MLIR context.
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mlir::registerLLVMDialectTranslation(ctx.mlirContext);
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// Convert the module to LLVM IR in a new LLVM IR context.
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auto llvmModule = mlir::translateModuleToLLVMIR(module, ctx.llvmContext);
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if (!llvmModule) {
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// TODO: Return a Result type instead
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llvm::errs() << "Failed to emit LLVM IR\n";
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throw std::runtime_error("Failed to emit LLVM IR\n");
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}
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// Initialize LLVM targets.
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llvm::InitializeNativeTarget();
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llvm::InitializeNativeTargetAsmPrinter();
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// TODO: replace this call with our own version of setupTargetTriple
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mlir::ExecutionEngine::setupTargetTriple(llvmModule.get());
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/// Optionally run an optimization pipeline over the llvm module.
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auto optPipeline = mlir::makeOptimizingTransformer(
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/*optLevel=*/ctx.getOptimizatioLevel(), /*sizeLevel=*/0,
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/*targetMachine=*/nullptr);
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if (auto err = optPipeline(llvmModule.get())) {
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llvm::errs() << "Failed to optimize LLVM IR " << err << "\n";
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throw std::runtime_error("Failed to optimize LLVM IR");
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}
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return std::move(llvmModule);
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};
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template <typename T>
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void dump(Generatable<T> &t) {
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t.dump();
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};
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} // namespace serene::slir
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#endif
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