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https://github.com/zama-ai/concrete.git
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8cd3a3a599
For now what it works are only levelled ops with user parameters. (take a look to the tests) Done: - Add parameters to the fhe parameters to support CRT-based large integers - Add command line options and tests options to allows the user to give those new parameters - Update the dialects and pipeline to handle new fhe parameters for CRT-based large integers - Update the client parameters and the client library to handle the CRT-based large integers Todo: - Plug the optimizer to compute the CRT-based large interger parameters - Plug the pbs for the CRT-based large integer
94 lines
3.2 KiB
C++
94 lines
3.2 KiB
C++
// Part of the Concrete Compiler Project, under the BSD3 License with Zama
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// Exceptions. See
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// https://github.com/zama-ai/concrete-compiler-internal/blob/main/LICENSE.txt
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// for license information.
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#include <mlir/Dialect/Arithmetic/IR/Arithmetic.h>
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#include <mlir/IR/PatternMatch.h>
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#include <mlir/Transforms/GreedyPatternRewriteDriver.h>
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#include <concretelang/Dialect/Concrete/IR/ConcreteOps.h>
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#include <concretelang/Dialect/Concrete/Transforms/Optimization.h>
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#include <concretelang/Support/Constants.h>
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namespace mlir {
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namespace concretelang {
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namespace {
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/// Get the constant integer that the cleartext was created from if it exists.
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llvm::Optional<IntegerAttr>
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getConstantIntFromCleartextIfExists(mlir::Value cleartext) {
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auto constantOp = cleartext.getDefiningOp();
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if (constantOp == nullptr)
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return {};
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if (llvm::isa<arith::ConstantOp>(constantOp)) {
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auto constIntToMul = constantOp->getAttrOfType<mlir::IntegerAttr>("value");
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if (constIntToMul != nullptr)
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return constIntToMul;
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}
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return {};
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}
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/// Rewrite a `Concrete.mul_cleartext_lwe_ciphertext` operation as a
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/// `Concrete.zero` operation if it's being multiplied with a constant 0, or as
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/// a `Concrete.negate_lwe_ciphertext` if multiplied with a constant -1.
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class MulCleartextLweCiphertextOpPattern
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: public mlir::OpRewritePattern<
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mlir::concretelang::Concrete::MulCleartextLweCiphertextOp> {
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public:
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MulCleartextLweCiphertextOpPattern(mlir::MLIRContext *context)
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: mlir::OpRewritePattern<
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mlir::concretelang::Concrete::MulCleartextLweCiphertextOp>(
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context, ::mlir::concretelang::DEFAULT_PATTERN_BENEFIT) {}
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mlir::LogicalResult
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matchAndRewrite(mlir::concretelang::Concrete::MulCleartextLweCiphertextOp op,
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mlir::PatternRewriter &rewriter) const override {
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auto cleartext = op.getOperand(1);
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auto constIntToMul = getConstantIntFromCleartextIfExists(cleartext);
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// Constant integer
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if (constIntToMul.hasValue()) {
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auto toMul = constIntToMul.getValue().getInt();
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if (toMul == 0) {
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rewriter.replaceOpWithNewOp<mlir::concretelang::Concrete::ZeroLWEOp>(
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op, op.getResult().getType());
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return mlir::success();
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}
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if (toMul == -1) {
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rewriter.replaceOpWithNewOp<
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mlir::concretelang::Concrete::NegateLweCiphertextOp>(
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op, op.getResult().getType(), op.getOperand(0));
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return mlir::success();
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}
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}
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return mlir::failure();
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}
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};
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/// Optimization pass that should choose more efficient ways of performing
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/// crypto operations.
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class ConcreteOptimizationPass
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: public ConcreteOptimizationBase<ConcreteOptimizationPass> {
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public:
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void runOnOperation() override {
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mlir::Operation *op = getOperation();
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mlir::RewritePatternSet patterns(op->getContext());
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patterns.add<MulCleartextLweCiphertextOpPattern>(op->getContext());
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if (mlir::applyPatternsAndFoldGreedily(op, std::move(patterns)).failed()) {
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this->signalPassFailure();
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}
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}
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};
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} // end anonymous namespace
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std::unique_ptr<mlir::OperationPass<>> createConcreteOptimizationPass() {
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return std::make_unique<ConcreteOptimizationPass>();
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}
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} // namespace concretelang
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} // namespace mlir
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