Files
concrete/compiler/lib/Conversion/MidLFHEToLowLFHE/MidLFHEToLowLFHE.cpp

105 lines
3.9 KiB
C++

#include <iostream>
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/DialectConversion.h"
#include "zamalang/Conversion/MidLFHEToLowLFHE/Patterns.h"
#include "zamalang/Conversion/Passes.h"
#include "zamalang/Conversion/Utils/RegionOpTypeConverterPattern.h"
#include "zamalang/Conversion/Utils/TensorOpTypeConversion.h"
#include "zamalang/Dialect/LowLFHE/IR/LowLFHEDialect.h"
#include "zamalang/Dialect/LowLFHE/IR/LowLFHETypes.h"
#include "zamalang/Dialect/MidLFHE/IR/MidLFHEDialect.h"
#include "zamalang/Dialect/MidLFHE/IR/MidLFHETypes.h"
namespace {
struct MidLFHEToLowLFHEPass
: public MidLFHEToLowLFHEBase<MidLFHEToLowLFHEPass> {
void runOnOperation() final;
};
} // namespace
using mlir::zamalang::LowLFHE::LweCiphertextType;
using mlir::zamalang::MidLFHE::GLWECipherTextType;
/// MidLFHEToLowLFHETypeConverter is a TypeConverter that transform
/// `MidLFHE.glwe<{_,_,_}{p}>` to LowLFHE.lwe_ciphertext
class MidLFHEToLowLFHETypeConverter : public mlir::TypeConverter {
public:
MidLFHEToLowLFHETypeConverter() {
addConversion([](mlir::Type type) { return type; });
addConversion([&](GLWECipherTextType type) {
return mlir::zamalang::convertTypeToLWE(type.getContext(), type);
});
addConversion([&](mlir::RankedTensorType type) {
auto glwe = type.getElementType().dyn_cast_or_null<GLWECipherTextType>();
if (glwe == nullptr) {
return (mlir::Type)(type);
}
mlir::Type r = mlir::RankedTensorType::get(
type.getShape(),
mlir::zamalang::convertTypeToLWE(glwe.getContext(), glwe));
return r;
});
}
};
void MidLFHEToLowLFHEPass::runOnOperation() {
auto op = this->getOperation();
mlir::ConversionTarget target(getContext());
MidLFHEToLowLFHETypeConverter converter;
// Mark ops from the target dialect as legal operations
target.addLegalDialect<mlir::zamalang::LowLFHE::LowLFHEDialect>();
// Make sure that no ops from `MidLFHE` remain after the lowering
target.addIllegalDialect<mlir::zamalang::MidLFHE::MidLFHEDialect>();
// Make sure that no ops `linalg.generic` that have illegal types
target.addDynamicallyLegalOp<mlir::linalg::GenericOp,
mlir::tensor::GenerateOp, mlir::scf::ForOp>(
[&](mlir::Operation *op) {
return (converter.isLegal(op->getOperandTypes()) &&
converter.isLegal(op->getResultTypes()) &&
converter.isLegal(op->getRegion(0).front().getArgumentTypes()));
});
// Make sure that func has legal signature
target.addDynamicallyLegalOp<mlir::FuncOp>([&](mlir::FuncOp funcOp) {
return converter.isSignatureLegal(funcOp.getType()) &&
converter.isLegal(&funcOp.getBody());
});
// Add all patterns required to lower all ops from `MidLFHE` to
// `LowLFHE`
mlir::OwningRewritePatternList patterns(&getContext());
populateWithGeneratedMidLFHEToLowLFHE(patterns);
patterns.add<RegionOpTypeConverterPattern<mlir::linalg::GenericOp,
MidLFHEToLowLFHETypeConverter>>(
&getContext(), converter);
patterns.add<RegionOpTypeConverterPattern<mlir::tensor::GenerateOp,
MidLFHEToLowLFHETypeConverter>>(
&getContext(), converter);
patterns.add<RegionOpTypeConverterPattern<mlir::scf::ForOp,
MidLFHEToLowLFHETypeConverter>>(
&getContext(), converter);
mlir::zamalang::populateWithTensorTypeConverterPatterns(patterns, target,
converter);
mlir::populateFuncOpTypeConversionPattern(patterns, converter);
// Apply conversion
if (mlir::applyPartialConversion(op, target, std::move(patterns)).failed()) {
this->signalPassFailure();
}
}
namespace mlir {
namespace zamalang {
std::unique_ptr<OperationPass<ModuleOp>> createConvertMidLFHEToLowLFHEPass() {
return std::make_unique<MidLFHEToLowLFHEPass>();
}
} // namespace zamalang
} // namespace mlir