mirror of
https://github.com/zama-ai/concrete.git
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181 lines
6.0 KiB
C++
181 lines
6.0 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 <llvm/ADT/STLExtras.h>
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#include <llvm/Support/Error.h>
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#include <mlir/Dialect/Func/IR/FuncOps.h>
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#include <mlir/Dialect/LLVMIR/LLVMDialect.h>
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#include "concretelang/ClientLib/ClientParameters.h"
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#include "concretelang/Conversion/Utils/GlobalFHEContext.h"
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#include "concretelang/Dialect/Concrete/IR/ConcreteTypes.h"
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#include "concretelang/Support/V0Curves.h"
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namespace mlir {
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namespace concretelang {
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using ::concretelang::clientlib::BIG_KEY;
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using ::concretelang::clientlib::CircuitGate;
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using ::concretelang::clientlib::ClientParameters;
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using ::concretelang::clientlib::EncryptionGate;
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using ::concretelang::clientlib::LweSecretKeyID;
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using ::concretelang::clientlib::Precision;
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using ::concretelang::clientlib::SMALL_KEY;
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using ::concretelang::clientlib::Variance;
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const auto securityLevel = SECURITY_LEVEL_128;
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const auto keyFormat = KEY_FORMAT_BINARY;
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const auto v0Curve = getV0Curves(securityLevel, keyFormat);
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/// For the v0 the secretKeyID and precision are the same for all gates.
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llvm::Expected<CircuitGate> gateFromMLIRType(LweSecretKeyID secretKeyID,
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Precision precision,
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Variance variance,
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mlir::Type type) {
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if (type.isIntOrIndex()) {
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// TODO - The index type is dependant of the target architecture, so
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// actually we assume we target only 64 bits, we need to have some the size
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// of the word of the target system.
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size_t width = 64;
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if (!type.isIndex()) {
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width = type.getIntOrFloatBitWidth();
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}
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return CircuitGate{
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/*.encryption = */ llvm::None,
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/*.shape = */
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{
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/*.width = */ width,
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/*.dimensions = */ std::vector<int64_t>(),
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/*.size = */ 0,
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},
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};
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}
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if (type.isa<mlir::concretelang::Concrete::LweCiphertextType>()) {
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// TODO - Get the width from the LWECiphertextType instead of global
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// precision (could be possible after merge concrete-ciphertext-parameter)
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return CircuitGate{
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/* .encryption = */ llvm::Optional<EncryptionGate>({
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/* .secretKeyID = */ secretKeyID,
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/* .variance = */ variance,
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/* .encoding = */
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{
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/* .precision = */ precision,
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},
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}),
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/*.shape = */
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{
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/*.width = */ precision,
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/*.dimensions = */ std::vector<int64_t>(),
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/*.size = */ 0,
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},
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};
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}
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auto tensor = type.dyn_cast_or_null<mlir::RankedTensorType>();
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if (tensor != nullptr) {
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auto gate = gateFromMLIRType(secretKeyID, precision, variance,
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tensor.getElementType());
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if (auto err = gate.takeError()) {
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return std::move(err);
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}
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gate->shape.dimensions = tensor.getShape().vec();
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gate->shape.size = 1;
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for (auto dimSize : gate->shape.dimensions) {
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gate->shape.size *= dimSize;
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}
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return gate;
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}
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return llvm::make_error<llvm::StringError>(
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"cannot convert MLIR type to shape", llvm::inconvertibleErrorCode());
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}
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llvm::Expected<ClientParameters>
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createClientParametersForV0(V0FHEContext fheContext,
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llvm::StringRef functionName,
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mlir::ModuleOp module) {
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auto v0Param = fheContext.parameter;
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Variance encryptionVariance = v0Curve->getVariance(
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v0Param.glweDimension, v0Param.getPolynomialSize(), 64);
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Variance keyswitchVariance = v0Curve->getVariance(1, v0Param.nSmall, 64);
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// Static client parameters from global parameters for v0
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ClientParameters c;
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c.secretKeys = {
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{SMALL_KEY, {/*.size = */ v0Param.nSmall}},
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{BIG_KEY, {/*.size = */ v0Param.getNBigGlweDimension()}},
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};
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c.bootstrapKeys = {
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{
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"bsk_v0",
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{
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/*.inputSecretKeyID = */ SMALL_KEY,
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/*.outputSecretKeyID = */ BIG_KEY,
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/*.level = */ v0Param.brLevel,
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/*.baseLog = */ v0Param.brLogBase,
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/*.glweDimension = */ v0Param.glweDimension,
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/*.variance = */ encryptionVariance,
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},
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},
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};
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c.keyswitchKeys = {
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{
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"ksk_v0",
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{
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/*.inputSecretKeyID = */ BIG_KEY,
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/*.outputSecretKeyID = */ SMALL_KEY,
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/*.level = */ v0Param.ksLevel,
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/*.baseLog = */ v0Param.ksLogBase,
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/*.variance = */ keyswitchVariance,
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},
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},
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};
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c.functionName = (std::string)functionName;
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// Find the input function
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auto rangeOps = module.getOps<mlir::func::FuncOp>();
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auto funcOp = llvm::find_if(rangeOps, [&](mlir::func::FuncOp op) {
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return op.getName() == functionName;
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});
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if (funcOp == rangeOps.end()) {
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return llvm::make_error<llvm::StringError>(
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"cannot find the function for generate client parameters '" +
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functionName + "'",
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llvm::inconvertibleErrorCode());
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}
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// For the v0 the precision is global
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auto precision = fheContext.constraint.p;
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// Create input and output circuit gate parameters
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auto funcType = (*funcOp).getFunctionType();
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auto inputs = funcType.getInputs();
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bool hasContext =
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inputs.empty()
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? false
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: inputs.back().isa<mlir::concretelang::Concrete::ContextType>();
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for (auto inType = funcType.getInputs().begin();
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inType < funcType.getInputs().end() - hasContext; inType++) {
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auto gate =
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gateFromMLIRType(BIG_KEY, precision, encryptionVariance, *inType);
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if (auto err = gate.takeError()) {
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return std::move(err);
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}
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c.inputs.push_back(gate.get());
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}
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for (auto outType : funcType.getResults()) {
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auto gate =
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gateFromMLIRType(BIG_KEY, precision, encryptionVariance, outType);
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if (auto err = gate.takeError()) {
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return std::move(err);
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}
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c.outputs.push_back(gate.get());
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}
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return c;
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}
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} // namespace concretelang
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} // namespace mlir
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