feat(python): serialize public arguments

This commit is contained in:
youben11
2022-04-15 09:27:34 +01:00
committed by Ayoub Benaissa
parent d9d35c1023
commit 0a5881096c
7 changed files with 225 additions and 3 deletions

View File

@@ -97,6 +97,16 @@ MLIR_CAPI_EXPORTED lambdaArgument
decrypt_result(concretelang::clientlib::KeySet &keySet,
concretelang::clientlib::PublicResult &publicResult);
// Serialization ////////////////////////////////////////////////////////////
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);
// Parse then print a textual representation of an MLIR module
MLIR_CAPI_EXPORTED std::string roundTrip(const char *module);

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@@ -155,7 +155,17 @@ void mlir::concretelang::python::populateCompilerAPISubmodule(
pybind11::class_<mlir::concretelang::ClientParameters>(m, "ClientParameters");
pybind11::class_<clientlib::KeySet>(m, "KeySet");
pybind11::class_<clientlib::PublicArguments>(m, "PublicArguments");
pybind11::class_<clientlib::PublicArguments,
std::unique_ptr<clientlib::PublicArguments>>(
m, "PublicArguments")
.def_static("unserialize",
[](mlir::concretelang::ClientParameters &clientParameters,
const pybind11::bytes &buffer) {
return publicArgumentsUnserialize(clientParameters, buffer);
})
.def("serialize", [](clientlib::PublicArguments &publicArgument) {
return pybind11::bytes(publicArgumentsSerialize(publicArgument));
});
pybind11::class_<clientlib::PublicResult>(m, "PublicResult");
pybind11::class_<lambdaArgument>(m, "LambdaArgument")

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@@ -9,6 +9,7 @@ from mlir._mlir_libs._concretelang._compiler import (
)
# pylint: enable=no-name-in-module,import-error
from .client_parameters import ClientParameters
from .wrapper import WrapperCpp
@@ -33,3 +34,38 @@ class PublicArguments(WrapperCpp):
f"public_arguments must be of type _PublicArguments, not {type(public_arguments)}"
)
super().__init__(public_arguments)
def serialize(self) -> bytes:
"""Serialize the PublicArguments into a buffer.
Returns:
bytes: serialized object
"""
return self.cpp().serialize()
@staticmethod
def unserialize(
client_parameters: ClientParameters, buffer: bytes
) -> "PublicArguments":
"""Unserialize PublicArguments from a buffer.
Args:
client_parameters (ClientParameters): client parameters of the compiled circuit
buffer (bytes): previously serialized PublicArguments
Raises:
TypeError: if client_parameters is not of type ClientParameters
TypeError: if buffer is not of type bytes
Returns:
PublicArguments: unserialized object
"""
if not isinstance(client_parameters, ClientParameters):
raise TypeError(
f"client_parameters must be of type ClientParameters, not {type(client_parameters)}"
)
if not isinstance(buffer, bytes):
raise TypeError(f"buffer must be of type bytes, not {type(buffer)}")
return PublicArguments.wrap(
_PublicArguments.unserialize(client_parameters.cpp(), buffer)
)

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@@ -133,6 +133,30 @@ decrypt_result(concretelang::clientlib::KeySet &keySet,
return std::move(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();
}
void terminateParallelization() {
#ifdef CONCRETELANG_PARALLEL_EXECUTION_ENABLED
_dfr_terminate();

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@@ -133,7 +133,7 @@ PublicArguments::unserialize(ClientParameters &clientParameters,
clientParameters, runtimeContext, true, std::move(empty),
std::move(emptyBuffers));
OUTCOME_TRYV(sArguments->unserializeArgs(istream));
return sArguments;
return std::move(sArguments);
}
void next_coord_index(size_t index[], size_t sizes[], size_t rank) {

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@@ -1,4 +1,3 @@
from typing import Union
import pytest
import numpy as np
from concrete.compiler import (

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@@ -0,0 +1,143 @@
import pytest
import numpy as np
from concrete.compiler import (
JITSupport,
LibrarySupport,
ClientSupport,
CompilationOptions,
PublicArguments,
)
def assert_result(result, expected_result):
"""Assert that result and expected result are equal.
result and expected_result can be integers on numpy arrays.
"""
assert type(expected_result) == type(result)
if isinstance(expected_result, int):
assert result == expected_result
else:
assert np.all(result == expected_result)
# TODO(#541): add result serialization
def run_with_serialization(
engine,
args,
compilation_result,
keyset_cache,
):
"""Execute engine on the given arguments. Performs serialization betwee client/server.
Perform required loading, encryption, execution, and decryption."""
# Client
client_parameters = engine.load_client_parameters(compilation_result)
key_set = ClientSupport.key_set(client_parameters, keyset_cache)
public_arguments = ClientSupport.encrypt_arguments(client_parameters, key_set, args)
public_arguments_buffer = public_arguments.serialize()
# Server
public_arguments = PublicArguments.unserialize(
client_parameters, public_arguments_buffer
)
del public_arguments_buffer
server_lambda = engine.load_server_lambda(compilation_result)
public_result = engine.server_call(server_lambda, public_arguments)
# Client
result = ClientSupport.decrypt_result(key_set, public_result)
return result
def compile_run_assert_with_serialization(
engine,
mlir_input,
args,
expected_result,
keyset_cache,
):
"""Compile run and assert result. Performs serialization betwee client/server.
Can take both JITSupport or LibrarySupport as engine.
"""
options = CompilationOptions.new("main")
compilation_result = engine.compile(mlir_input, options)
result = run_with_serialization(engine, args, compilation_result, keyset_cache)
assert_result(result, expected_result)
end_to_end_fixture = [
pytest.param(
"""
func @main(%arg0: !FHE.eint<5>, %arg1: i6) -> !FHE.eint<5> {
%1 = "FHE.add_eint_int"(%arg0, %arg1): (!FHE.eint<5>, i6) -> (!FHE.eint<5>)
return %1: !FHE.eint<5>
}
""",
(5, 7),
12,
id="enc_plain_int_args",
marks=pytest.mark.xfail,
),
pytest.param(
"""
func @main(%arg0: !FHE.eint<5>, %arg1: !FHE.eint<5>) -> !FHE.eint<5> {
%1 = "FHE.add_eint"(%arg0, %arg1): (!FHE.eint<5>, !FHE.eint<5>) -> (!FHE.eint<5>)
return %1: !FHE.eint<5>
}
""",
(5, 7),
12,
id="enc_enc_int_args",
),
pytest.param(
"""
func @main(%arg0: tensor<4x!FHE.eint<5>>, %arg1: tensor<4xi6>) -> !FHE.eint<5>
{
%ret = "FHELinalg.dot_eint_int"(%arg0, %arg1) :
(tensor<4x!FHE.eint<5>>, tensor<4xi6>) -> !FHE.eint<5>
return %ret : !FHE.eint<5>
}
""",
(
np.array([1, 2, 3, 4], dtype=np.uint8),
np.array([4, 3, 2, 1], dtype=np.uint8),
),
20,
id="enc_plain_ndarray_args",
marks=pytest.mark.xfail,
),
pytest.param(
"""
func @main(%a0: tensor<4x!FHE.eint<5>>, %a1: tensor<4x!FHE.eint<5>>) -> tensor<4x!FHE.eint<5>> {
%res = "FHELinalg.add_eint"(%a0, %a1) : (tensor<4x!FHE.eint<5>>, tensor<4x!FHE.eint<5>>) -> tensor<4x!FHE.eint<5>>
return %res : tensor<4x!FHE.eint<5>>
}
""",
(
np.array([1, 2, 3, 4], dtype=np.uint8),
np.array([7, 0, 1, 5], dtype=np.uint8),
),
np.array([8, 2, 4, 9]),
id="enc_enc_ndarray_args",
),
]
@pytest.mark.parametrize("mlir_input, args, expected_result", end_to_end_fixture)
def test_jit_compile_and_run_with_serialization(
mlir_input, args, expected_result, keyset_cache
):
engine = JITSupport.new()
compile_run_assert_with_serialization(
engine, mlir_input, args, expected_result, keyset_cache
)
@pytest.mark.parametrize("mlir_input, args, expected_result", end_to_end_fixture)
def test_lib_compile_and_run_with_serialization(
mlir_input, args, expected_result, keyset_cache
):
engine = LibrarySupport.new("./py_test_lib_compile_and_run")
compile_run_assert_with_serialization(
engine, mlir_input, args, expected_result, keyset_cache
)