refactor: separate python bindings wrapper from CAPI

current CAPI of CompilerEngine isn't really a CAPI. It's initial need
was for the python bindings to have access to the CompilerEngine through
a convenient API. So we now make a clear separation of CAPI and python
wrappers. So we now have wrappers functions, that can be implemented
using C/C++, and will be exposed to python via pybind11. And we have a
CAPI (still need fixing as it still contains C++ code), that can be used
as is, or to build bindings for other languages (such as Rust).
This commit is contained in:
youben11
2022-11-16 14:13:05 +01:00
committed by Ayoub Benaissa
parent 454edbb538
commit c0d007e396
8 changed files with 643 additions and 26 deletions

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@@ -3,8 +3,8 @@
// https://github.com/zama-ai/concrete-compiler-internal/blob/main/LICENSE.txt
// for license information.
#ifndef CONCRETELANG_PYTHON_COMPILER_API_MODULE_H
#define CONCRETELANG_PYTHON_COMPILER_API_MODULE_H
#ifndef CONCRETELANG_BINDINGS_PYTHON_COMPILER_API_MODULE_H
#define CONCRETELANG_BINDINGS_PYTHON_COMPILER_API_MODULE_H
#include <pybind11/pybind11.h>

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@@ -0,0 +1,181 @@
// 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_BINDINGS_PYTHON_COMPILER_ENGINE_H
#define CONCRETELANG_BINDINGS_PYTHON_COMPILER_ENGINE_H
#include "concretelang/Support/CompilerEngine.h"
#include "concretelang/Support/JITSupport.h"
#include "concretelang/Support/Jit.h"
#include "concretelang/Support/LibrarySupport.h"
#include "mlir-c/IR.h"
/// MLIR_CAPI_EXPORTED is used here throughout the API, because of the way the
/// python extension is built using MLIR cmake functions, which will cause
/// undefined symbols during runtime if those aren't present.
/// Wrapper of the mlir::concretelang::LambdaArgument
struct lambdaArgument {
std::shared_ptr<mlir::concretelang::LambdaArgument> ptr;
};
typedef struct lambdaArgument lambdaArgument;
/// Hold a list of lambdaArgument to represent execution arguments
struct executionArguments {
lambdaArgument *data;
size_t size;
};
typedef struct executionArguments executionArguments;
// JIT Support bindings ///////////////////////////////////////////////////////
struct JITSupport_Py {
mlir::concretelang::JITSupport support;
};
typedef struct JITSupport_Py JITSupport_Py;
MLIR_CAPI_EXPORTED JITSupport_Py jit_support(std::string runtimeLibPath);
MLIR_CAPI_EXPORTED std::unique_ptr<mlir::concretelang::JitCompilationResult>
jit_compile(JITSupport_Py support, const char *module,
mlir::concretelang::CompilationOptions options);
MLIR_CAPI_EXPORTED mlir::concretelang::ClientParameters
jit_load_client_parameters(JITSupport_Py support,
mlir::concretelang::JitCompilationResult &);
MLIR_CAPI_EXPORTED mlir::concretelang::CompilationFeedback
jit_load_compilation_feedback(JITSupport_Py support,
mlir::concretelang::JitCompilationResult &);
MLIR_CAPI_EXPORTED std::shared_ptr<mlir::concretelang::JITLambda>
jit_load_server_lambda(JITSupport_Py support,
mlir::concretelang::JitCompilationResult &);
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::PublicResult>
jit_server_call(JITSupport_Py support, mlir::concretelang::JITLambda &lambda,
concretelang::clientlib::PublicArguments &args,
concretelang::clientlib::EvaluationKeys &evaluationKeys);
// Library Support bindings ///////////////////////////////////////////////////
struct LibrarySupport_Py {
mlir::concretelang::LibrarySupport support;
};
typedef struct LibrarySupport_Py LibrarySupport_Py;
MLIR_CAPI_EXPORTED LibrarySupport_Py
library_support(const char *outputPath, const char *runtimeLibraryPath,
bool generateSharedLib, bool generateStaticLib,
bool generateClientParameters, bool generateCompilationFeedback,
bool generateCppHeader);
MLIR_CAPI_EXPORTED std::unique_ptr<mlir::concretelang::LibraryCompilationResult>
library_compile(LibrarySupport_Py support, const char *module,
mlir::concretelang::CompilationOptions options);
MLIR_CAPI_EXPORTED mlir::concretelang::ClientParameters
library_load_client_parameters(LibrarySupport_Py support,
mlir::concretelang::LibraryCompilationResult &);
MLIR_CAPI_EXPORTED mlir::concretelang::CompilationFeedback
library_load_compilation_feedback(
LibrarySupport_Py support, mlir::concretelang::LibraryCompilationResult &);
MLIR_CAPI_EXPORTED concretelang::serverlib::ServerLambda
library_load_server_lambda(LibrarySupport_Py support,
mlir::concretelang::LibraryCompilationResult &);
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::PublicResult>
library_server_call(LibrarySupport_Py support,
concretelang::serverlib::ServerLambda lambda,
concretelang::clientlib::PublicArguments &args,
concretelang::clientlib::EvaluationKeys &evaluationKeys);
MLIR_CAPI_EXPORTED std::string
library_get_shared_lib_path(LibrarySupport_Py support);
MLIR_CAPI_EXPORTED std::string
library_get_client_parameters_path(LibrarySupport_Py support);
// Client Support bindings ///////////////////////////////////////////////////
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::KeySet>
key_set(concretelang::clientlib::ClientParameters clientParameters,
llvm::Optional<concretelang::clientlib::KeySetCache> cache);
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::PublicArguments>
encrypt_arguments(concretelang::clientlib::ClientParameters clientParameters,
concretelang::clientlib::KeySet &keySet,
llvm::ArrayRef<mlir::concretelang::LambdaArgument *> args);
MLIR_CAPI_EXPORTED lambdaArgument
decrypt_result(concretelang::clientlib::KeySet &keySet,
concretelang::clientlib::PublicResult &publicResult);
// Serialization ////////////////////////////////////////////////////////////
MLIR_CAPI_EXPORTED mlir::concretelang::ClientParameters
clientParametersUnserialize(const std::string &json);
MLIR_CAPI_EXPORTED std::string
clientParametersSerialize(mlir::concretelang::ClientParameters &params);
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::PublicArguments>
publicArgumentsUnserialize(
mlir::concretelang::ClientParameters &clientParameters,
const std::string &buffer);
MLIR_CAPI_EXPORTED std::string publicArgumentsSerialize(
concretelang::clientlib::PublicArguments &publicArguments);
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::PublicResult>
publicResultUnserialize(mlir::concretelang::ClientParameters &clientParameters,
const std::string &buffer);
MLIR_CAPI_EXPORTED std::string
publicResultSerialize(concretelang::clientlib::PublicResult &publicResult);
MLIR_CAPI_EXPORTED concretelang::clientlib::EvaluationKeys
evaluationKeysUnserialize(const std::string &buffer);
MLIR_CAPI_EXPORTED std::string evaluationKeysSerialize(
concretelang::clientlib::EvaluationKeys &evaluationKeys);
/// Parse then print a textual representation of an MLIR module
MLIR_CAPI_EXPORTED std::string roundTrip(const char *module);
/// Terminate parallelization
MLIR_CAPI_EXPORTED void terminateParallelization();
/// Create a lambdaArgument from a tensor of different data types
MLIR_CAPI_EXPORTED lambdaArgument lambdaArgumentFromTensorU8(
std::vector<uint8_t> data, std::vector<int64_t> dimensions);
MLIR_CAPI_EXPORTED lambdaArgument lambdaArgumentFromTensorU16(
std::vector<uint16_t> data, std::vector<int64_t> dimensions);
MLIR_CAPI_EXPORTED lambdaArgument lambdaArgumentFromTensorU32(
std::vector<uint32_t> data, std::vector<int64_t> dimensions);
MLIR_CAPI_EXPORTED lambdaArgument lambdaArgumentFromTensorU64(
std::vector<uint64_t> data, std::vector<int64_t> dimensions);
/// Create a lambdaArgument from a scalar
MLIR_CAPI_EXPORTED lambdaArgument lambdaArgumentFromScalar(uint64_t scalar);
/// Check if a lambdaArgument holds a tensor
MLIR_CAPI_EXPORTED bool lambdaArgumentIsTensor(lambdaArgument &lambda_arg);
/// Get tensor data from lambdaArgument
MLIR_CAPI_EXPORTED std::vector<uint64_t>
lambdaArgumentGetTensorData(lambdaArgument &lambda_arg);
/// Get tensor dimensions from lambdaArgument
MLIR_CAPI_EXPORTED std::vector<int64_t>
lambdaArgumentGetTensorDimensions(lambdaArgument &lambda_arg);
/// Check if a lambdaArgument holds a scalar
MLIR_CAPI_EXPORTED bool lambdaArgumentIsScalar(lambdaArgument &lambda_arg);
/// Get scalar value from lambdaArgument
MLIR_CAPI_EXPORTED uint64_t lambdaArgumentGetScalar(lambdaArgument &lambda_arg);
/// Compile the textual representation of MLIR modules to a library.
MLIR_CAPI_EXPORTED std::string library(std::string libraryPath,
std::vector<std::string> modules);
#endif // CONCRETELANG_BINDINGS_PYTHON_COMPILER_ENGINE_H

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@@ -3,8 +3,8 @@
// https://github.com/zama-ai/concrete-compiler-internal/blob/main/LICENSE.txt
// for license information.
#ifndef CONCRETELANG_PYTHON_DIALECTMODULES_H
#define CONCRETELANG_PYTHON_DIALECTMODULES_H
#ifndef CONCRETELANG_BINDINGS_PYTHON_DIALECTMODULES_H
#define CONCRETELANG_BINDINGS_PYTHON_DIALECTMODULES_H
#include <pybind11/pybind11.h>

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@@ -1,5 +1,15 @@
include(AddMLIRPython)
# Python bindings need to throw exceptions for proper handling of errors on the python-side
add_compile_options(-fexceptions)
# ######################################################################################################################
# Support wrapper library for Python
# ######################################################################################################################
set(LLVM_OPTIONAL_SOURCES CompilerAPIModule.cpp ConcretelangModule.cpp FHEModule.cpp)
add_mlir_public_c_api_library(CONCRETELANGPySupport CompilerEngine.cpp LINK_LIBS PUBLIC MLIRCAPIIR ConcretelangSupport)
# ######################################################################################################################
# Decalare native Python extension
# ######################################################################################################################
@@ -19,7 +29,7 @@ declare_mlir_python_extension(
EMBED_CAPI_LINK_LIBS
CONCRETELANGCAPIFHE
CONCRETELANGCAPIFHELINALG
CONCRETELANGCAPISupport)
CONCRETELANGPySupport)
# ######################################################################################################################
# Declare python sources

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@@ -3,8 +3,8 @@
// https://github.com/zama-ai/concrete-compiler-internal/blob/main/LICENSE.txt
// for license information.
#include "CompilerAPIModule.h"
#include "concretelang-c/Support/CompilerEngine.h"
#include "concretelang/Bindings/Python/CompilerAPIModule.h"
#include "concretelang/Bindings/Python/CompilerEngine.h"
#include "concretelang/Dialect/FHE/IR/FHEOpsDialect.h.inc"
#include "concretelang/Support/JITSupport.h"
#include "concretelang/Support/Jit.h"
@@ -95,34 +95,34 @@ void mlir::concretelang::python::populateCompilerAPISubmodule(
pybind11::class_<mlir::concretelang::JITLambda,
std::shared_ptr<mlir::concretelang::JITLambda>>(m,
"JITLambda");
pybind11::class_<JITSupport_C>(m, "JITSupport")
pybind11::class_<JITSupport_Py>(m, "JITSupport")
.def(pybind11::init([](std::string runtimeLibPath) {
return jit_support(runtimeLibPath);
}))
.def("compile",
[](JITSupport_C &support, std::string mlir_program,
[](JITSupport_Py &support, std::string mlir_program,
CompilationOptions options) {
return jit_compile(support, mlir_program.c_str(), options);
})
.def("load_client_parameters",
[](JITSupport_C &support,
[](JITSupport_Py &support,
mlir::concretelang::JitCompilationResult &result) {
return jit_load_client_parameters(support, result);
})
.def("load_compilation_feedback",
[](JITSupport_C &support,
[](JITSupport_Py &support,
mlir::concretelang::JitCompilationResult &result) {
return jit_load_compilation_feedback(support, result);
})
.def(
"load_server_lambda",
[](JITSupport_C &support,
[](JITSupport_Py &support,
mlir::concretelang::JitCompilationResult &result) {
return jit_load_server_lambda(support, result);
},
pybind11::return_value_policy::reference)
.def("server_call",
[](JITSupport_C &support, concretelang::JITLambda &lambda,
[](JITSupport_Py &support, concretelang::JITLambda &lambda,
clientlib::PublicArguments &publicArguments,
clientlib::EvaluationKeys &evaluationKeys) {
return jit_server_call(support, lambda, publicArguments,
@@ -138,7 +138,7 @@ void mlir::concretelang::python::populateCompilerAPISubmodule(
};
}));
pybind11::class_<concretelang::serverlib::ServerLambda>(m, "LibraryLambda");
pybind11::class_<LibrarySupport_C>(m, "LibrarySupport")
pybind11::class_<LibrarySupport_Py>(m, "LibrarySupport")
.def(pybind11::init(
[](std::string outputPath, std::string runtimeLibraryPath,
bool generateSharedLib, bool generateStaticLib,
@@ -150,39 +150,39 @@ void mlir::concretelang::python::populateCompilerAPISubmodule(
generateCompilationFeedback, generateCppHeader);
}))
.def("compile",
[](LibrarySupport_C &support, std::string mlir_program,
[](LibrarySupport_Py &support, std::string mlir_program,
mlir::concretelang::CompilationOptions options) {
return library_compile(support, mlir_program.c_str(), options);
})
.def("load_client_parameters",
[](LibrarySupport_C &support,
[](LibrarySupport_Py &support,
mlir::concretelang::LibraryCompilationResult &result) {
return library_load_client_parameters(support, result);
})
.def("load_compilation_feedback",
[](LibrarySupport_C &support,
[](LibrarySupport_Py &support,
mlir::concretelang::LibraryCompilationResult &result) {
return library_load_compilation_feedback(support, result);
})
.def(
"load_server_lambda",
[](LibrarySupport_C &support,
[](LibrarySupport_Py &support,
mlir::concretelang::LibraryCompilationResult &result) {
return library_load_server_lambda(support, result);
},
pybind11::return_value_policy::reference)
.def("server_call",
[](LibrarySupport_C &support, serverlib::ServerLambda lambda,
[](LibrarySupport_Py &support, serverlib::ServerLambda lambda,
clientlib::PublicArguments &publicArguments,
clientlib::EvaluationKeys &evaluationKeys) {
return library_server_call(support, lambda, publicArguments,
evaluationKeys);
})
.def("get_shared_lib_path",
[](LibrarySupport_C &support) {
[](LibrarySupport_Py &support) {
return library_get_shared_lib_path(support);
})
.def("get_client_parameters_path", [](LibrarySupport_C &support) {
.def("get_client_parameters_path", [](LibrarySupport_Py &support) {
return library_get_client_parameters_path(support);
});

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@@ -0,0 +1,428 @@
// 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 "llvm/ADT/SmallString.h"
#include "concretelang/Bindings/Python/CompilerEngine.h"
#include "concretelang/ClientLib/KeySetCache.h"
#include "concretelang/ClientLib/Serializers.h"
#include "concretelang/Runtime/DFRuntime.hpp"
#include "concretelang/Support/CompilerEngine.h"
#include "concretelang/Support/JITSupport.h"
#include "concretelang/Support/Jit.h"
#define GET_OR_THROW_LLVM_EXPECTED(VARNAME, EXPECTED) \
auto VARNAME = EXPECTED; \
if (auto err = VARNAME.takeError()) { \
throw std::runtime_error(llvm::toString(std::move(err))); \
}
// JIT Support bindings ///////////////////////////////////////////////////////
MLIR_CAPI_EXPORTED JITSupport_Py jit_support(std::string runtimeLibPath) {
auto opt = runtimeLibPath.empty()
? llvm::None
: llvm::Optional<std::string>(runtimeLibPath);
return JITSupport_Py{mlir::concretelang::JITSupport(opt)};
}
MLIR_CAPI_EXPORTED std::unique_ptr<mlir::concretelang::JitCompilationResult>
jit_compile(JITSupport_Py support, const char *module,
mlir::concretelang::CompilationOptions options) {
GET_OR_THROW_LLVM_EXPECTED(compilationResult,
support.support.compile(module, options));
return std::move(*compilationResult);
}
MLIR_CAPI_EXPORTED mlir::concretelang::ClientParameters
jit_load_client_parameters(JITSupport_Py support,
mlir::concretelang::JitCompilationResult &result) {
GET_OR_THROW_LLVM_EXPECTED(clientParameters,
support.support.loadClientParameters(result));
return *clientParameters;
}
MLIR_CAPI_EXPORTED mlir::concretelang::CompilationFeedback
jit_load_compilation_feedback(
JITSupport_Py support, mlir::concretelang::JitCompilationResult &result) {
GET_OR_THROW_LLVM_EXPECTED(compilationFeedback,
support.support.loadCompilationFeedback(result));
return *compilationFeedback;
}
MLIR_CAPI_EXPORTED std::shared_ptr<mlir::concretelang::JITLambda>
jit_load_server_lambda(JITSupport_Py support,
mlir::concretelang::JitCompilationResult &result) {
GET_OR_THROW_LLVM_EXPECTED(serverLambda,
support.support.loadServerLambda(result));
return *serverLambda;
}
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::PublicResult>
jit_server_call(JITSupport_Py support, mlir::concretelang::JITLambda &lambda,
concretelang::clientlib::PublicArguments &args,
concretelang::clientlib::EvaluationKeys &evaluationKeys) {
GET_OR_THROW_LLVM_EXPECTED(publicResult, lambda.call(args, evaluationKeys));
return std::move(*publicResult);
}
// Library Support bindings ///////////////////////////////////////////////////
MLIR_CAPI_EXPORTED LibrarySupport_Py
library_support(const char *outputPath, const char *runtimeLibraryPath,
bool generateSharedLib, bool generateStaticLib,
bool generateClientParameters, bool generateCompilationFeedback,
bool generateCppHeader) {
return LibrarySupport_Py{mlir::concretelang::LibrarySupport(
outputPath, runtimeLibraryPath, generateSharedLib, generateStaticLib,
generateClientParameters, generateCompilationFeedback,
generateCppHeader)};
}
MLIR_CAPI_EXPORTED std::unique_ptr<mlir::concretelang::LibraryCompilationResult>
library_compile(LibrarySupport_Py support, const char *module,
mlir::concretelang::CompilationOptions options) {
GET_OR_THROW_LLVM_EXPECTED(compilationResult,
support.support.compile(module, options));
return std::move(*compilationResult);
}
MLIR_CAPI_EXPORTED mlir::concretelang::ClientParameters
library_load_client_parameters(
LibrarySupport_Py support,
mlir::concretelang::LibraryCompilationResult &result) {
GET_OR_THROW_LLVM_EXPECTED(clientParameters,
support.support.loadClientParameters(result));
return *clientParameters;
}
MLIR_CAPI_EXPORTED mlir::concretelang::CompilationFeedback
library_load_compilation_feedback(
LibrarySupport_Py support,
mlir::concretelang::LibraryCompilationResult &result) {
GET_OR_THROW_LLVM_EXPECTED(compilationFeedback,
support.support.loadCompilationFeedback(result));
return *compilationFeedback;
}
MLIR_CAPI_EXPORTED concretelang::serverlib::ServerLambda
library_load_server_lambda(
LibrarySupport_Py support,
mlir::concretelang::LibraryCompilationResult &result) {
GET_OR_THROW_LLVM_EXPECTED(serverLambda,
support.support.loadServerLambda(result));
return *serverLambda;
}
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::PublicResult>
library_server_call(LibrarySupport_Py support,
concretelang::serverlib::ServerLambda lambda,
concretelang::clientlib::PublicArguments &args,
concretelang::clientlib::EvaluationKeys &evaluationKeys) {
GET_OR_THROW_LLVM_EXPECTED(
publicResult, support.support.serverCall(lambda, args, evaluationKeys));
return std::move(*publicResult);
}
MLIR_CAPI_EXPORTED std::string
library_get_shared_lib_path(LibrarySupport_Py support) {
return support.support.getSharedLibPath();
}
MLIR_CAPI_EXPORTED std::string
library_get_client_parameters_path(LibrarySupport_Py support) {
return support.support.getClientParametersPath();
}
// Client Support bindings ///////////////////////////////////////////////////
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::KeySet>
key_set(concretelang::clientlib::ClientParameters clientParameters,
llvm::Optional<concretelang::clientlib::KeySetCache> cache) {
GET_OR_THROW_LLVM_EXPECTED(
ks, (mlir::concretelang::LambdaSupport<int, int>::keySet(clientParameters,
cache)));
return std::move(*ks);
}
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::PublicArguments>
encrypt_arguments(concretelang::clientlib::ClientParameters clientParameters,
concretelang::clientlib::KeySet &keySet,
llvm::ArrayRef<mlir::concretelang::LambdaArgument *> args) {
GET_OR_THROW_LLVM_EXPECTED(
publicArguments,
(mlir::concretelang::LambdaSupport<int, int>::exportArguments(
clientParameters, keySet, args)));
return std::move(*publicArguments);
}
MLIR_CAPI_EXPORTED lambdaArgument
decrypt_result(concretelang::clientlib::KeySet &keySet,
concretelang::clientlib::PublicResult &publicResult) {
GET_OR_THROW_LLVM_EXPECTED(
result, mlir::concretelang::typedResult<
std::unique_ptr<mlir::concretelang::LambdaArgument>>(
keySet, publicResult));
lambdaArgument result_{std::move(*result)};
return result_;
}
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::PublicArguments>
publicArgumentsUnserialize(
mlir::concretelang::ClientParameters &clientParameters,
const std::string &buffer) {
std::stringstream istream(buffer);
auto argsOrError = concretelang::clientlib::PublicArguments::unserialize(
clientParameters, istream);
if (!argsOrError) {
throw std::runtime_error(argsOrError.error().mesg);
}
return std::move(argsOrError.value());
}
MLIR_CAPI_EXPORTED std::string publicArgumentsSerialize(
concretelang::clientlib::PublicArguments &publicArguments) {
std::ostringstream buffer(std::ios::binary);
auto voidOrError = publicArguments.serialize(buffer);
if (!voidOrError) {
throw std::runtime_error(voidOrError.error().mesg);
}
return buffer.str();
}
MLIR_CAPI_EXPORTED std::unique_ptr<concretelang::clientlib::PublicResult>
publicResultUnserialize(mlir::concretelang::ClientParameters &clientParameters,
const std::string &buffer) {
std::stringstream istream(buffer);
auto publicResultOrError = concretelang::clientlib::PublicResult::unserialize(
clientParameters, istream);
if (!publicResultOrError) {
throw std::runtime_error(publicResultOrError.error().mesg);
}
return std::move(publicResultOrError.value());
}
MLIR_CAPI_EXPORTED std::string
publicResultSerialize(concretelang::clientlib::PublicResult &publicResult) {
std::ostringstream buffer(std::ios::binary);
auto voidOrError = publicResult.serialize(buffer);
if (!voidOrError) {
throw std::runtime_error(voidOrError.error().mesg);
}
return buffer.str();
}
MLIR_CAPI_EXPORTED concretelang::clientlib::EvaluationKeys
evaluationKeysUnserialize(const std::string &buffer) {
std::stringstream istream(buffer);
concretelang::clientlib::EvaluationKeys evaluationKeys;
concretelang::clientlib::operator>>(istream, evaluationKeys);
if (istream.fail()) {
throw std::runtime_error("Cannot read evaluation keys");
}
return evaluationKeys;
}
MLIR_CAPI_EXPORTED std::string evaluationKeysSerialize(
concretelang::clientlib::EvaluationKeys &evaluationKeys) {
std::ostringstream buffer(std::ios::binary);
concretelang::clientlib::operator<<(buffer, evaluationKeys);
return buffer.str();
}
MLIR_CAPI_EXPORTED mlir::concretelang::ClientParameters
clientParametersUnserialize(const std::string &json) {
GET_OR_THROW_LLVM_EXPECTED(
clientParams,
llvm::json::parse<mlir::concretelang::ClientParameters>(json));
return clientParams.get();
}
MLIR_CAPI_EXPORTED std::string
clientParametersSerialize(mlir::concretelang::ClientParameters &params) {
llvm::json::Value value(params);
std::string jsonParams;
llvm::raw_string_ostream buffer(jsonParams);
buffer << value;
return jsonParams;
}
MLIR_CAPI_EXPORTED void terminateParallelization() {
#ifdef CONCRETELANG_DATAFLOW_EXECUTION_ENABLED
_dfr_terminate();
#endif
}
MLIR_CAPI_EXPORTED std::string roundTrip(const char *module) {
std::shared_ptr<mlir::concretelang::CompilationContext> ccx =
mlir::concretelang::CompilationContext::createShared();
mlir::concretelang::CompilerEngine ce{ccx};
std::string backingString;
llvm::raw_string_ostream os(backingString);
llvm::Expected<mlir::concretelang::CompilerEngine::CompilationResult>
retOrErr = ce.compile(
module, mlir::concretelang::CompilerEngine::Target::ROUND_TRIP);
if (!retOrErr) {
os << "MLIR parsing failed: " << llvm::toString(retOrErr.takeError());
throw std::runtime_error(os.str());
}
retOrErr->mlirModuleRef->get().print(os);
return os.str();
}
MLIR_CAPI_EXPORTED bool lambdaArgumentIsTensor(lambdaArgument &lambda_arg) {
return lambda_arg.ptr->isa<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint8_t>>>() ||
lambda_arg.ptr->isa<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint16_t>>>() ||
lambda_arg.ptr->isa<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint32_t>>>() ||
lambda_arg.ptr->isa<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint64_t>>>();
}
template <typename T>
MLIR_CAPI_EXPORTED std::vector<uint64_t> copyTensorLambdaArgumentTo64bitsvector(
mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<T>> *tensor) {
auto numElements = tensor->getNumElements();
if (!numElements) {
std::string backingString;
llvm::raw_string_ostream os(backingString);
os << "Couldn't get size of tensor: "
<< llvm::toString(std::move(numElements.takeError()));
throw std::runtime_error(os.str());
}
std::vector<uint64_t> res;
res.reserve(*numElements);
T *data = tensor->getValue();
for (size_t i = 0; i < *numElements; i++) {
res.push_back(data[i]);
}
return res;
}
MLIR_CAPI_EXPORTED std::vector<uint64_t>
lambdaArgumentGetTensorData(lambdaArgument &lambda_arg) {
if (auto arg =
lambda_arg.ptr->dyn_cast<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint64_t>>>()) {
llvm::Expected<size_t> sizeOrErr = arg->getNumElements();
if (!sizeOrErr) {
std::string backingString;
llvm::raw_string_ostream os(backingString);
os << "Couldn't get size of tensor: "
<< llvm::toString(sizeOrErr.takeError());
throw std::runtime_error(os.str());
}
std::vector<uint64_t> data(arg->getValue(), arg->getValue() + *sizeOrErr);
return data;
}
if (auto arg =
lambda_arg.ptr->dyn_cast<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint8_t>>>()) {
return copyTensorLambdaArgumentTo64bitsvector(arg);
}
if (auto arg =
lambda_arg.ptr->dyn_cast<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint16_t>>>()) {
return copyTensorLambdaArgumentTo64bitsvector(arg);
}
if (auto arg =
lambda_arg.ptr->dyn_cast<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint32_t>>>()) {
return copyTensorLambdaArgumentTo64bitsvector(arg);
}
throw std::invalid_argument(
"LambdaArgument isn't a tensor or has an unsupported bitwidth");
}
MLIR_CAPI_EXPORTED std::vector<int64_t>
lambdaArgumentGetTensorDimensions(lambdaArgument &lambda_arg) {
if (auto arg =
lambda_arg.ptr->dyn_cast<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint8_t>>>()) {
return arg->getDimensions();
}
if (auto arg =
lambda_arg.ptr->dyn_cast<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint16_t>>>()) {
return arg->getDimensions();
}
if (auto arg =
lambda_arg.ptr->dyn_cast<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint32_t>>>()) {
return arg->getDimensions();
}
if (auto arg =
lambda_arg.ptr->dyn_cast<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint64_t>>>()) {
return arg->getDimensions();
}
throw std::invalid_argument(
"LambdaArgument isn't a tensor, should "
"be a TensorLambdaArgument<IntLambdaArgument<uint64_t>>");
}
MLIR_CAPI_EXPORTED bool lambdaArgumentIsScalar(lambdaArgument &lambda_arg) {
return lambda_arg.ptr->isa<mlir::concretelang::IntLambdaArgument<uint64_t>>();
}
MLIR_CAPI_EXPORTED uint64_t
lambdaArgumentGetScalar(lambdaArgument &lambda_arg) {
mlir::concretelang::IntLambdaArgument<uint64_t> *arg =
lambda_arg.ptr
->dyn_cast<mlir::concretelang::IntLambdaArgument<uint64_t>>();
if (arg == nullptr) {
throw std::invalid_argument("LambdaArgument isn't a scalar, should "
"be an IntLambdaArgument<uint64_t>");
}
return arg->getValue();
}
MLIR_CAPI_EXPORTED lambdaArgument lambdaArgumentFromTensorU8(
std::vector<uint8_t> data, std::vector<int64_t> dimensions) {
lambdaArgument tensor_arg{
std::make_shared<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint8_t>>>(data, dimensions)};
return tensor_arg;
}
MLIR_CAPI_EXPORTED lambdaArgument lambdaArgumentFromTensorU16(
std::vector<uint16_t> data, std::vector<int64_t> dimensions) {
lambdaArgument tensor_arg{
std::make_shared<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint16_t>>>(data, dimensions)};
return tensor_arg;
}
MLIR_CAPI_EXPORTED lambdaArgument lambdaArgumentFromTensorU32(
std::vector<uint32_t> data, std::vector<int64_t> dimensions) {
lambdaArgument tensor_arg{
std::make_shared<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint32_t>>>(data, dimensions)};
return tensor_arg;
}
MLIR_CAPI_EXPORTED lambdaArgument lambdaArgumentFromTensorU64(
std::vector<uint64_t> data, std::vector<int64_t> dimensions) {
lambdaArgument tensor_arg{
std::make_shared<mlir::concretelang::TensorLambdaArgument<
mlir::concretelang::IntLambdaArgument<uint64_t>>>(data, dimensions)};
return tensor_arg;
}
MLIR_CAPI_EXPORTED lambdaArgument lambdaArgumentFromScalar(uint64_t scalar) {
lambdaArgument scalar_arg{
std::make_shared<mlir::concretelang::IntLambdaArgument<uint64_t>>(
scalar)};
return scalar_arg;
}

View File

@@ -3,11 +3,10 @@
// https://github.com/zama-ai/concrete-compiler-internal/blob/main/LICENSE.txt
// for license information.
#include "CompilerAPIModule.h"
#include "DialectModules.h"
#include "concretelang-c/Dialect/FHE.h"
#include "concretelang-c/Dialect/FHELinalg.h"
#include "concretelang/Bindings/Python/CompilerAPIModule.h"
#include "concretelang/Bindings/Python/DialectModules.h"
#include "concretelang/Support/Constants.h"
#include "mlir-c/Bindings/Python/Interop.h"
#include "mlir-c/Registration.h"

View File

@@ -3,9 +3,8 @@
// https://github.com/zama-ai/concrete-compiler-internal/blob/main/LICENSE.txt
// for license information.
#include "DialectModules.h"
#include "concretelang-c/Dialect/FHE.h"
#include "concretelang/Bindings/Python/DialectModules.h"
#include "mlir-c/BuiltinAttributes.h"
#include "mlir/Bindings/Python/PybindAdaptors.h"