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LambdaSupport.h
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LambdaSupport.h
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// 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.
#ifndef CONCRETELANG_SUPPORT_LAMBDASUPPORT
#define CONCRETELANG_SUPPORT_LAMBDASUPPORT
#include "boost/outcome.h"
#include "concretelang/Support/LambdaArgument.h"
#include "concretelang/ClientLib/ClientLambda.h"
#include "concretelang/ClientLib/ClientParameters.h"
#include "concretelang/ClientLib/KeySetCache.h"
#include "concretelang/ClientLib/Serializers.h"
#include "concretelang/Common/Error.h"
#include "concretelang/ServerLib/ServerLambda.h"
namespace mlir {
namespace concretelang {
namespace clientlib = ::concretelang::clientlib;
namespace {
// Generic function template as well as specializations of
// `typedResult` must be declared at namespace scope due to return
// type template specialization
/// Helper function for implementing type-dependent preparation of the result.
template <typename ResT>
llvm::Expected<ResT> typedResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result);
template <typename T>
inline llvm::Expected<T> typedScalarResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
auto clearResult = result.asClearTextScalar<T>(keySet, 0);
if (!clearResult.has_value()) {
return StreamStringError("typedResult cannot get clear text scalar")
<< clearResult.error().mesg;
}
return clearResult.value();
}
/// Specializations of `typedResult()` for scalar results, forwarding
/// scalar value to caller.
template <>
inline llvm::Expected<uint64_t> typedResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
return typedScalarResult<uint64_t>(keySet, result);
}
template <>
inline llvm::Expected<int64_t> typedResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
return typedScalarResult<int64_t>(keySet, result);
}
template <>
inline llvm::Expected<uint32_t> typedResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
return typedScalarResult<uint32_t>(keySet, result);
}
template <>
inline llvm::Expected<int32_t> typedResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
return typedScalarResult<int32_t>(keySet, result);
}
template <>
inline llvm::Expected<uint16_t> typedResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
return typedScalarResult<uint16_t>(keySet, result);
}
template <>
inline llvm::Expected<int16_t> typedResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
return typedScalarResult<int16_t>(keySet, result);
}
template <>
inline llvm::Expected<uint8_t> typedResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
return typedScalarResult<uint8_t>(keySet, result);
}
template <>
inline llvm::Expected<int8_t> typedResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
return typedScalarResult<int8_t>(keySet, result);
}
template <typename T>
inline llvm::Expected<std::vector<T>>
typedVectorResult(clientlib::KeySet &keySet, clientlib::PublicResult &result) {
auto clearResult = result.asClearTextVector<T>(keySet, 0);
if (!clearResult.has_value()) {
return StreamStringError("typedVectorResult cannot get clear text vector")
<< clearResult.error().mesg;
}
return std::move(clearResult.value());
}
/// Specializations of `typedResult()` for vector results, initializing
/// an `std::vector` of the right size with the results and forwarding
/// it to the caller with move semantics.
/// Cannot factor out into a template template <typename T> inline
/// llvm::Expected<std::vector<uint8_t>>
/// typedResult(clientlib::KeySet &keySet, clientlib::PublicResult &result); due
/// to ambiguity with scalar template
template <>
inline llvm::Expected<std::vector<uint8_t>>
typedResult(clientlib::KeySet &keySet, clientlib::PublicResult &result) {
return typedVectorResult<uint8_t>(keySet, result);
}
template <>
inline llvm::Expected<std::vector<int8_t>>
typedResult(clientlib::KeySet &keySet, clientlib::PublicResult &result) {
return typedVectorResult<int8_t>(keySet, result);
}
template <>
inline llvm::Expected<std::vector<uint16_t>>
typedResult(clientlib::KeySet &keySet, clientlib::PublicResult &result) {
return typedVectorResult<uint16_t>(keySet, result);
}
template <>
inline llvm::Expected<std::vector<int16_t>>
typedResult(clientlib::KeySet &keySet, clientlib::PublicResult &result) {
return typedVectorResult<int16_t>(keySet, result);
}
template <>
inline llvm::Expected<std::vector<uint32_t>>
typedResult(clientlib::KeySet &keySet, clientlib::PublicResult &result) {
return typedVectorResult<uint32_t>(keySet, result);
}
template <>
inline llvm::Expected<std::vector<int32_t>>
typedResult(clientlib::KeySet &keySet, clientlib::PublicResult &result) {
return typedVectorResult<int32_t>(keySet, result);
}
template <>
inline llvm::Expected<std::vector<uint64_t>>
typedResult(clientlib::KeySet &keySet, clientlib::PublicResult &result) {
return typedVectorResult<uint64_t>(keySet, result);
}
template <>
inline llvm::Expected<std::vector<int64_t>>
typedResult(clientlib::KeySet &keySet, clientlib::PublicResult &result) {
return typedVectorResult<int64_t>(keySet, result);
}
template <typename T>
llvm::Expected<std::unique_ptr<LambdaArgument>>
buildTensorLambdaResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
llvm::Expected<std::vector<T>> tensorOrError =
typedResult<std::vector<T>>(keySet, result);
if (auto err = tensorOrError.takeError())
return std::move(err);
auto tensorDim = result.asClearTextShape(0);
if (tensorDim.has_error())
return StreamStringError(tensorDim.error().mesg);
return std::make_unique<TensorLambdaArgument<IntLambdaArgument<T>>>(
*tensorOrError, tensorDim.value());
}
template <typename T>
llvm::Expected<std::unique_ptr<LambdaArgument>>
buildScalarLambdaResult(clientlib::KeySet &keySet,
clientlib::PublicResult &result) {
llvm::Expected<T> scalarOrError = typedResult<T>(keySet, result);
if (auto err = scalarOrError.takeError())
return std::move(err);
return std::make_unique<IntLambdaArgument<T>>(*scalarOrError);
}
/// pecialization of `typedResult()` for a single result wrapped into
/// a `LambdaArgument`.
template <>
inline llvm::Expected<std::unique_ptr<LambdaArgument>>
typedResult(clientlib::KeySet &keySet, clientlib::PublicResult &result) {
auto gate = keySet.outputGate(0);
auto width = gate.shape.width;
bool sign = gate.shape.sign;
if (width > 64)
return StreamStringError("Cannot handle values with more than 64 bits");
// By convention, decrypted integers are always 64 bits wide
if (gate.isEncrypted())
width = 64;
if (gate.shape.dimensions.empty()) {
// scalar case
if (width > 32) {
return (sign) ? buildScalarLambdaResult<int64_t>(keySet, result)
: buildScalarLambdaResult<uint64_t>(keySet, result);
} else if (width > 16) {
return (sign) ? buildScalarLambdaResult<int32_t>(keySet, result)
: buildScalarLambdaResult<uint32_t>(keySet, result);
} else if (width > 8) {
return (sign) ? buildScalarLambdaResult<int16_t>(keySet, result)
: buildScalarLambdaResult<uint16_t>(keySet, result);
} else if (width <= 8) {
return (sign) ? buildScalarLambdaResult<int8_t>(keySet, result)
: buildScalarLambdaResult<uint8_t>(keySet, result);
}
} else if (gate.chunkInfo.has_value()) {
// chunked scalar case
assert(gate.shape.dimensions.size() == 1);
width = gate.shape.size * gate.chunkInfo->width;
if (width > 32) {
return (sign) ? buildScalarLambdaResult<int64_t>(keySet, result)
: buildScalarLambdaResult<uint64_t>(keySet, result);
} else if (width > 16) {
return (sign) ? buildScalarLambdaResult<int32_t>(keySet, result)
: buildScalarLambdaResult<uint32_t>(keySet, result);
} else if (width > 8) {
return (sign) ? buildScalarLambdaResult<int16_t>(keySet, result)
: buildScalarLambdaResult<uint16_t>(keySet, result);
} else if (width <= 8) {
return (sign) ? buildScalarLambdaResult<int8_t>(keySet, result)
: buildScalarLambdaResult<uint8_t>(keySet, result);
}
} else {
// tensor case
if (width > 32) {
return (sign) ? buildTensorLambdaResult<int64_t>(keySet, result)
: buildTensorLambdaResult<uint64_t>(keySet, result);
} else if (width > 16) {
return (sign) ? buildTensorLambdaResult<int32_t>(keySet, result)
: buildTensorLambdaResult<uint32_t>(keySet, result);
} else if (width > 8) {
return (sign) ? buildTensorLambdaResult<int16_t>(keySet, result)
: buildTensorLambdaResult<uint16_t>(keySet, result);
} else if (width <= 8) {
return (sign) ? buildTensorLambdaResult<int8_t>(keySet, result)
: buildTensorLambdaResult<uint8_t>(keySet, result);
}
}
assert(false && "Cannot happen");
}
} // namespace
/// Adaptor class that push arguments specified as instances of
/// `LambdaArgument` to `clientlib::EncryptedArguments`.
class LambdaArgumentAdaptor {
public:
/// Checks if the argument `arg` is an plaintext / encrypted integer
/// argument or a plaintext / encrypted tensor argument with a
/// backing integer type `IntT` and push the argument to `encryptedArgs`.
///
/// Returns `true` if `arg` has one of the types above and its value
/// was successfully added to `encryptedArgs`, `false` if none of the types
/// matches or an error if a type matched, but adding the argument to
/// `encryptedArgs` failed.
template <typename IntT>
static inline llvm::Expected<bool>
tryAddArg(clientlib::EncryptedArguments &encryptedArgs,
const LambdaArgument &arg, clientlib::KeySet &keySet) {
if (auto ila = arg.dyn_cast<IntLambdaArgument<IntT>>()) {
auto res = encryptedArgs.pushArg(ila->getValue(), keySet);
if (!res.has_value()) {
return StreamStringError(res.error().mesg);
} else {
return true;
}
} else if (auto tla = arg.dyn_cast<
TensorLambdaArgument<IntLambdaArgument<IntT>>>()) {
auto res =
encryptedArgs.pushArg(tla->getValue(), tla->getDimensions(), keySet);
if (!res.has_value()) {
return StreamStringError(res.error().mesg);
} else {
return true;
}
}
return false;
}
/// Recursive case for `tryAddArg<IntT>(...)`
template <typename IntT, typename NextIntT, typename... IntTs>
static inline llvm::Expected<bool>
tryAddArg(clientlib::EncryptedArguments &encryptedArgs,
const LambdaArgument &arg, clientlib::KeySet &keySet) {
llvm::Expected<bool> successOrError =
tryAddArg<IntT>(encryptedArgs, arg, keySet);
if (!successOrError)
return successOrError.takeError();
if (successOrError.get() == false)
return tryAddArg<NextIntT, IntTs...>(encryptedArgs, arg, keySet);
else
return true;
}
/// Attempts to push a single argument `arg` to `encryptedArgs`. Returns an
/// error if either the argument type is unsupported or if the argument types
/// is supported, but adding it to `encryptedArgs` failed.
static inline llvm::Error
addArgument(clientlib::EncryptedArguments &encryptedArgs,
const LambdaArgument &arg, clientlib::KeySet &keySet) {
// Try the supported integer types; size_t needs explicit
// treatment, since it may alias none of the fixed size integer
// types
llvm::Expected<bool> successOrError =
LambdaArgumentAdaptor::tryAddArg<int64_t, int32_t, int16_t, int8_t,
uint64_t, uint32_t, uint16_t, uint8_t,
size_t>(encryptedArgs, arg, keySet);
if (!successOrError)
return successOrError.takeError();
if (successOrError.get() == false)
return StreamStringError("Unknown argument type");
else
return llvm::Error::success();
}
/// Encrypts and build public arguments from lambda arguments
static llvm::Expected<std::unique_ptr<clientlib::PublicArguments>>
exportArguments(llvm::ArrayRef<const LambdaArgument *> args,
clientlib::ClientParameters clientParameters,
clientlib::KeySet &keySet) {
auto encryptedArgs = clientlib::EncryptedArguments::empty();
for (auto arg : args) {
if (auto err = LambdaArgumentAdaptor::addArgument(*encryptedArgs, *arg,
keySet)) {
return std::move(err);
}
}
auto check = encryptedArgs->checkAllArgs(keySet);
if (check.has_error()) {
return StreamStringError(check.error().mesg);
}
auto publicArguments =
encryptedArgs->exportPublicArguments(clientParameters);
if (publicArguments.has_error()) {
return StreamStringError(publicArguments.error().mesg);
}
return std::move(publicArguments.value());
}
};
template <typename Lambda, typename CompilationResult> class LambdaSupport {
public:
typedef Lambda lambda;
typedef CompilationResult compilationResult;
virtual ~LambdaSupport() {}
/// Compile the mlir program and produces a compilation result if succeed.
llvm::Expected<std::unique_ptr<CompilationResult>> virtual compile(
llvm::SourceMgr &program,
CompilationOptions options = CompilationOptions("main")) = 0;
llvm::Expected<std::unique_ptr<CompilationResult>> virtual compile(
mlir::ModuleOp program,
std::shared_ptr<mlir::concretelang::CompilationContext> cctx,
CompilationOptions options = CompilationOptions("main")) = 0;
llvm::Expected<std::unique_ptr<CompilationResult>>
compile(llvm::StringRef program,
CompilationOptions options = CompilationOptions("main")) {
return compile(llvm::MemoryBuffer::getMemBuffer(program), options);
}
llvm::Expected<std::unique_ptr<CompilationResult>>
compile(std::unique_ptr<llvm::MemoryBuffer> program,
CompilationOptions options = CompilationOptions("main")) {
llvm::SourceMgr sm;
sm.AddNewSourceBuffer(std::move(program), llvm::SMLoc());
return compile(sm, options);
}
/// Load the server lambda from the compilation result.
llvm::Expected<Lambda> virtual loadServerLambda(
CompilationResult &result) = 0;
/// Load the client parameters from the compilation result.
llvm::Expected<clientlib::ClientParameters> virtual loadClientParameters(
CompilationResult &result) = 0;
/// Load the compilation feedback from the compilation result.
llvm::Expected<CompilationFeedback> virtual loadCompilationFeedback(
CompilationResult &result) = 0;
/// Call the lambda with the public arguments.
llvm::Expected<std::unique_ptr<clientlib::PublicResult>> virtual serverCall(
Lambda lambda, clientlib::PublicArguments &args,
clientlib::EvaluationKeys &evaluationKeys) = 0;
/// Build the client KeySet from the client parameters.
static llvm::Expected<std::unique_ptr<clientlib::KeySet>>
keySet(clientlib::ClientParameters clientParameters,
std::optional<clientlib::KeySetCache> cache, uint64_t seed_msb = 0,
uint64_t seed_lsb = 0) {
std::shared_ptr<clientlib::KeySetCache> cachePtr;
if (cache.has_value()) {
cachePtr = std::make_shared<clientlib::KeySetCache>(cache.value());
}
auto keySet = clientlib::KeySetCache::generate(cachePtr, clientParameters,
seed_msb, seed_lsb);
if (keySet.has_error()) {
return StreamStringError(keySet.error().mesg);
}
return std::move(keySet.value());
}
static llvm::Expected<std::unique_ptr<clientlib::PublicArguments>>
exportArguments(clientlib::ClientParameters clientParameters,
clientlib::KeySet &keySet,
llvm::ArrayRef<const LambdaArgument *> args) {
return LambdaArgumentAdaptor::exportArguments(args, clientParameters,
keySet);
}
template <typename ResT>
static llvm::Expected<ResT> call(Lambda lambda,
clientlib::PublicArguments &publicArguments,
clientlib::EvaluationKeys &evaluationKeys) {
// Call the lambda
auto publicResult = LambdaSupport<Lambda, CompilationResult>().serverCall(
lambda, publicArguments, evaluationKeys);
if (auto err = publicResult.takeError()) {
return std::move(err);
}
// Decrypt the result
return typedResult<ResT>(keySet, **publicResult);
}
};
template <class LambdaSupport> class ClientServer {
public:
static llvm::Expected<ClientServer>
create(llvm::StringRef program,
CompilationOptions options = CompilationOptions("main"),
std::optional<clientlib::KeySetCache> cache = {},
LambdaSupport support = LambdaSupport()) {
auto compilationResult = support.compile(program, options);
if (auto err = compilationResult.takeError()) {
return std::move(err);
}
auto lambda = support.loadServerLambda(**compilationResult);
if (auto err = lambda.takeError()) {
return std::move(err);
}
auto clientParameters = support.loadClientParameters(**compilationResult);
if (auto err = clientParameters.takeError()) {
return std::move(err);
}
auto keySet = support.keySet(*clientParameters, cache);
if (auto err = keySet.takeError()) {
return std::move(err);
}
auto f = ClientServer();
f.lambda = *lambda;
f.compilationResult = std::move(*compilationResult);
f.keySet = std::move(*keySet);
f.clientParameters = *clientParameters;
f.support = support;
return std::move(f);
}
template <typename ResT = uint64_t>
llvm::Expected<ResT> operator()(llvm::ArrayRef<LambdaArgument *> args) {
auto publicArguments = LambdaArgumentAdaptor::exportArguments(
args, clientParameters, *this->keySet);
if (auto err = publicArguments.takeError()) {
return std::move(err);
}
auto evaluationKeys = this->keySet->evaluationKeys();
auto publicResult =
support.serverCall(lambda, **publicArguments, evaluationKeys);
if (auto err = publicResult.takeError()) {
return std::move(err);
}
return typedResult<ResT>(*keySet, **publicResult);
}
template <typename T, typename ResT = uint64_t>
llvm::Expected<ResT> operator()(const llvm::ArrayRef<T> args) {
auto encryptedArgs = clientlib::EncryptedArguments::create(
/*simulation*/ false, *keySet, args);
if (encryptedArgs.has_error()) {
return StreamStringError(encryptedArgs.error().mesg);
}
auto publicArguments =
encryptedArgs.value()->exportPublicArguments(clientParameters);
if (!publicArguments.has_value()) {
return StreamStringError(publicArguments.error().mesg);
}
auto evaluationKeys = keySet->evaluationKeys();
auto publicResult =
support.serverCall(lambda, *publicArguments.value(), evaluationKeys);
if (auto err = publicResult.takeError()) {
return std::move(err);
}
return typedResult<ResT>(*keySet, **publicResult);
}
template <typename ResT = uint64_t, typename... Args>
llvm::Expected<ResT> operator()(const Args... args) {
auto encryptedArgs = clientlib::EncryptedArguments::create(
/*simulation*/ false, *keySet, args...);
if (encryptedArgs.has_error()) {
return StreamStringError(encryptedArgs.error().mesg);
}
auto publicArguments =
encryptedArgs.value()->exportPublicArguments(clientParameters);
if (publicArguments.has_error()) {
return StreamStringError(publicArguments.error().mesg);
}
auto evaluationKeys = keySet->evaluationKeys();
auto publicResult =
support.serverCall(lambda, *publicArguments.value(), evaluationKeys);
if (auto err = publicResult.takeError()) {
return std::move(err);
}
return typedResult<ResT>(*keySet, **publicResult);
}
private:
typename LambdaSupport::lambda lambda;
std::unique_ptr<typename LambdaSupport::compilationResult> compilationResult;
std::unique_ptr<clientlib::KeySet> keySet;
clientlib::ClientParameters clientParameters;
LambdaSupport support;
};
} // namespace concretelang
} // namespace mlir
#endif