#include #include "mlir/Pass/Pass.h" #include "mlir/Transforms/DialectConversion.h" #include "zamalang/Conversion/Passes.h" #include "zamalang/Dialect/HLFHE/IR/HLFHETypes.h" #include "mlir/Conversion/LLVMCommon/ConversionTarget.h" #include "mlir/Conversion/LLVMCommon/TypeConverter.h" #include "mlir/Conversion/SCFToStandard/SCFToStandard.h" #include "mlir/Conversion/StandardToLLVM/ConvertStandardToLLVM.h" #include "mlir/Conversion/StandardToLLVM/ConvertStandardToLLVMPass.h" #include "mlir/Dialect/LLVMIR/LLVMDialect.h" #include "mlir/Dialect/MemRef/IR/MemRef.h" #include "mlir/Dialect/SCF/SCF.h" #include "mlir/Dialect/StandardOps/IR/Ops.h" #include "mlir/Pass/Pass.h" #include "mlir/Transforms/DialectConversion.h" #include "llvm/ADT/Sequence.h" namespace { struct MLIRLowerableDialectsToLLVMPass : public MLIRLowerableDialectsToLLVMBase { void runOnOperation() final; }; } // namespace void MLIRLowerableDialectsToLLVMPass::runOnOperation() { // Setup the conversion target. We reuse the LLVMConversionTarget that // legalize LLVM dialect. mlir::LLVMConversionTarget target(getContext()); target.addLegalOp(); // Setup the LLVMTypeConverter (that converts `std` types to `llvm` types) and // add our types conversion to `llvm` compatible type. mlir::LLVMTypeConverter typeConverter(&getContext()); // Setup the set of the patterns rewriter. At this point we want to // convert the `scf` operations to `std` and `std` operations to `llvm`. mlir::RewritePatternSet patterns(&getContext()); mlir::populateLoopToStdConversionPatterns(patterns); mlir::populateStdToLLVMConversionPatterns(typeConverter, patterns); // Apply a `FullConversion` to `llvm`. auto module = getOperation(); if (mlir::applyFullConversion(module, target, std::move(patterns)).failed()) { signalPassFailure(); } } namespace mlir { namespace zamalang { /// Create a pass for lowering operations the remaining mlir dialects /// operations, to the LLVM dialect for codegen. std::unique_ptr> createConvertMLIRLowerableDialectsToLLVMPass() { return std::make_unique(); } } // namespace zamalang } // namespace mlir