mirror of
https://github.com/zama-ai/concrete.git
synced 2026-02-11 05:04:58 -05:00
2e5f92b6b8
- no more Concrete ciphertext/plaintext types: they are represented using standard MLIR types (int/tensor) - Technically BConcrete was renamed to Concrete, and old Concrete was removed - TFHE -> Concrete now takes into account the conversion of tensor of ciphertext into tensors of an additional dimension (LWE dim) - Bufferization now works in Concrete - Old Concrete optimization were moved to TFHE - Concrete is now the dialect that lowers to CAPI calls - TFHE -> Concrete now uses OpConversionPattern and is much cleaner in terms of type conversion - Disabled tests for batching, as there was something weird about it: batchable operations implemented in Concrete but pass run in FHELinalg
90 lines
3.0 KiB
C++
90 lines
3.0 KiB
C++
// Part of the Concrete Compiler Project, under the BSD3 License with Zama
|
|
// Exceptions. See
|
|
// https://github.com/zama-ai/concrete-compiler-internal/blob/main/LICENSE.txt
|
|
// for license information.
|
|
|
|
#include <mlir/Dialect/Arithmetic/IR/Arithmetic.h>
|
|
#include <mlir/IR/PatternMatch.h>
|
|
#include <mlir/Transforms/GreedyPatternRewriteDriver.h>
|
|
|
|
#include <concretelang/Dialect/TFHE/IR/TFHEOps.h>
|
|
#include <concretelang/Dialect/TFHE/Transforms/Optimization.h>
|
|
#include <concretelang/Support/Constants.h>
|
|
|
|
namespace mlir {
|
|
namespace concretelang {
|
|
|
|
namespace {
|
|
|
|
/// Get the constant integer that the cleartext was created from if it exists.
|
|
llvm::Optional<IntegerAttr>
|
|
getConstantIntFromCleartextIfExists(mlir::Value cleartext) {
|
|
auto constantOp = cleartext.getDefiningOp();
|
|
if (constantOp == nullptr)
|
|
return {};
|
|
if (llvm::isa<arith::ConstantOp>(constantOp)) {
|
|
auto constIntToMul = constantOp->getAttrOfType<mlir::IntegerAttr>("value");
|
|
if (constIntToMul != nullptr)
|
|
return constIntToMul;
|
|
}
|
|
return {};
|
|
}
|
|
|
|
/// Rewrite a TFHE multiplication with an integer operation as a
|
|
/// Zero operation if it's being multiplied with a constant 0, or as
|
|
/// a Negate operation if multiplied with a constant -1.
|
|
class MulCleartextLweCiphertextOpPattern
|
|
: public mlir::OpRewritePattern<mlir::concretelang::TFHE::MulGLWEIntOp> {
|
|
public:
|
|
MulCleartextLweCiphertextOpPattern(mlir::MLIRContext *context)
|
|
: mlir::OpRewritePattern<mlir::concretelang::TFHE::MulGLWEIntOp>(
|
|
context, ::mlir::concretelang::DEFAULT_PATTERN_BENEFIT) {}
|
|
|
|
mlir::LogicalResult
|
|
matchAndRewrite(mlir::concretelang::TFHE::MulGLWEIntOp op,
|
|
mlir::PatternRewriter &rewriter) const override {
|
|
auto cleartext = op.getOperand(1);
|
|
auto constIntToMul = getConstantIntFromCleartextIfExists(cleartext);
|
|
// Constant integer
|
|
if (constIntToMul.hasValue()) {
|
|
auto toMul = constIntToMul.getValue().getInt();
|
|
if (toMul == 0) {
|
|
rewriter.replaceOpWithNewOp<mlir::concretelang::TFHE::ZeroGLWEOp>(
|
|
op, op.getResult().getType());
|
|
return mlir::success();
|
|
}
|
|
if (toMul == -1) {
|
|
rewriter.replaceOpWithNewOp<mlir::concretelang::TFHE::NegGLWEOp>(
|
|
op, op.getResult().getType(), op.getOperand(0));
|
|
return mlir::success();
|
|
}
|
|
}
|
|
return mlir::failure();
|
|
}
|
|
};
|
|
|
|
/// Optimization pass that should choose more efficient ways of performing
|
|
/// crypto operations.
|
|
class TFHEOptimizationPass : public TFHEOptimizationBase<TFHEOptimizationPass> {
|
|
public:
|
|
void runOnOperation() override {
|
|
mlir::Operation *op = getOperation();
|
|
|
|
mlir::RewritePatternSet patterns(op->getContext());
|
|
patterns.add<MulCleartextLweCiphertextOpPattern>(op->getContext());
|
|
|
|
if (mlir::applyPatternsAndFoldGreedily(op, std::move(patterns)).failed()) {
|
|
this->signalPassFailure();
|
|
}
|
|
}
|
|
};
|
|
|
|
} // end anonymous namespace
|
|
|
|
std::unique_ptr<mlir::OperationPass<>> createTFHEOptimizationPass() {
|
|
return std::make_unique<TFHEOptimizationPass>();
|
|
}
|
|
|
|
} // namespace concretelang
|
|
} // namespace mlir
|