serene/include/serene/slir/traits.h

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