mirror of
https://github.com/zama-ai/concrete.git
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135 lines
4.4 KiB
C++
135 lines
4.4 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/master/LICENSE.txt
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// for license information.
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#include "mlir/IR/Region.h"
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#include "mlir/IR/TypeUtilities.h"
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#include "concretelang/Dialect/FHE/IR/FHEOps.h"
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#include "concretelang/Dialect/FHE/IR/FHETypes.h"
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namespace mlir {
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namespace concretelang {
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namespace FHE {
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bool verifyEncryptedIntegerInputAndResultConsistency(
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::mlir::OpState &op, EncryptedIntegerType &input,
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EncryptedIntegerType &result) {
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if (input.getWidth() != result.getWidth()) {
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op.emitOpError(
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" should have the width of encrypted inputs and result equals");
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return false;
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}
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return true;
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}
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bool verifyEncryptedIntegerAndIntegerInputsConsistency(::mlir::OpState &op,
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EncryptedIntegerType &a,
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IntegerType &b) {
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if (a.getWidth() + 1 != b.getWidth()) {
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op.emitOpError(" should have the width of plain input equals to width of "
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"encrypted input + 1");
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return false;
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}
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return true;
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}
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bool verifyEncryptedIntegerInputsConsistency(::mlir::OpState &op,
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EncryptedIntegerType &a,
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EncryptedIntegerType &b) {
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if (a.getWidth() != b.getWidth()) {
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op.emitOpError(" should have the width of encrypted inputs equals");
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return false;
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}
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return true;
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}
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::mlir::LogicalResult verifyAddEintIntOp(AddEintIntOp &op) {
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auto a = op.a().getType().cast<EncryptedIntegerType>();
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auto b = op.b().getType().cast<IntegerType>();
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auto out = op.getResult().getType().cast<EncryptedIntegerType>();
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if (!verifyEncryptedIntegerInputAndResultConsistency(op, a, out)) {
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return ::mlir::failure();
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}
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if (!verifyEncryptedIntegerAndIntegerInputsConsistency(op, a, b)) {
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return ::mlir::failure();
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}
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return ::mlir::success();
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}
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::mlir::LogicalResult verifyAddEintOp(AddEintOp &op) {
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auto a = op.a().getType().cast<EncryptedIntegerType>();
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auto b = op.b().getType().cast<EncryptedIntegerType>();
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auto out = op.getResult().getType().cast<EncryptedIntegerType>();
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if (!verifyEncryptedIntegerInputAndResultConsistency(op, a, out)) {
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return ::mlir::failure();
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}
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if (!verifyEncryptedIntegerInputsConsistency(op, a, b)) {
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return ::mlir::failure();
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}
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return ::mlir::success();
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}
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::mlir::LogicalResult verifySubIntEintOp(SubIntEintOp &op) {
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auto a = op.a().getType().cast<IntegerType>();
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auto b = op.b().getType().cast<EncryptedIntegerType>();
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auto out = op.getResult().getType().cast<EncryptedIntegerType>();
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if (!verifyEncryptedIntegerInputAndResultConsistency(op, b, out)) {
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return ::mlir::failure();
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}
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if (!verifyEncryptedIntegerAndIntegerInputsConsistency(op, b, a)) {
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return ::mlir::failure();
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}
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return ::mlir::success();
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}
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::mlir::LogicalResult verifyNegEintOp(NegEintOp &op) {
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auto a = op.a().getType().cast<EncryptedIntegerType>();
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auto out = op.getResult().getType().cast<EncryptedIntegerType>();
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if (!verifyEncryptedIntegerInputAndResultConsistency(op, a, out)) {
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return ::mlir::failure();
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}
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return ::mlir::success();
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}
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::mlir::LogicalResult verifyMulEintIntOp(MulEintIntOp &op) {
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auto a = op.a().getType().cast<EncryptedIntegerType>();
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auto b = op.b().getType().cast<IntegerType>();
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auto out = op.getResult().getType().cast<EncryptedIntegerType>();
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if (!verifyEncryptedIntegerInputAndResultConsistency(op, a, out)) {
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return ::mlir::failure();
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}
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if (!verifyEncryptedIntegerAndIntegerInputsConsistency(op, a, b)) {
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return ::mlir::failure();
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}
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return ::mlir::success();
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}
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::mlir::LogicalResult verifyApplyLookupTable(ApplyLookupTableEintOp &op) {
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auto ct = op.a().getType().cast<EncryptedIntegerType>();
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auto lut = op.lut().getType().cast<TensorType>();
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// Check the shape of lut argument
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auto width = ct.getWidth();
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auto expectedSize = 1 << width;
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mlir::SmallVector<int64_t, 1> expectedShape{expectedSize};
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if (!lut.hasStaticShape(expectedShape)) {
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emitErrorBadLutSize(op, "lut", "ct", expectedSize, width);
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return mlir::failure();
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}
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if (!lut.getElementType().isInteger(64)) {
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op.emitOpError() << "should have the i64 constant";
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return mlir::failure();
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}
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return mlir::success();
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}
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} // namespace FHE
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} // namespace concretelang
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} // namespace mlir
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#define GET_OP_CLASSES
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#include "concretelang/Dialect/FHE/IR/FHEOps.cpp.inc"
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