Files
concrete/compilers/concrete-compiler/compiler/tests/python/test_argument_support.py
Alexandre Péré e8ef48ffd8 feat(compiler): introduce concrete-protocol
This commit:
 + Adds support for a protocol which enables inter-op between concrete,
   tfhe-rs and potentially other contributors to the fhe ecosystem.
 + Gets rid of hand-made serialization in the compiler, and
   client/server libs.
 + Refactors client/server libs to allow more pre/post processing of
   circuit inputs/outputs.

The protocol is supported by a definition in the shape of a capnp file,
which defines different types of objects among which:
 + ProgramInfo object, which is a precise description of a set of fhe
   circuit coming from the same compilation (understand function type
   information), and the associated key set.
 + *Key objects, which represent secret/public keys used to
   encrypt/execute fhe circuits.
 + Value object, which represent values that can be transferred between
   client and server to support calls to fhe circuits.

The hand-rolled serialization that was previously used is completely
dropped in favor of capnp in the whole codebase.

The client/server libs, are refactored to introduce a modular design for
pre-post processing. Reading the ProgramInfo file associated with a
compilation, the client and server libs assemble a pipeline of
transformers (functions) for pre and post processing of values coming in
and out of a circuit. This design properly decouples various aspects of
the processing, and allows these capabilities to be safely extended.

In practice this commit includes the following:
 + Defines the specification in a concreteprotocol package
 + Integrate the compilation of this package as a compiler dependency
   via cmake
 + Modify the compiler to use the Encodings objects defined in the
   protocol
 + Modify the compiler to emit ProgramInfo files as compilation
   artifact, and gets rid of the bloated ClientParameters.
 + Introduces a new Common library containing the functionalities shared
   between the compiler and the client/server libs.
 + Introduces a functional pre-post processing pipeline to this common
   library
 + Modify the client/server libs to support loading ProgramInfo objects,
   and calling circuits using Value messages.
 + Drops support of JIT.
 + Drops support of C-api.
 + Drops support of Rust bindings.

Co-authored-by: Nikita Frolov <nf@mkmks.org>
2023-11-09 17:09:04 +01:00

77 lines
2.4 KiB
Python

import pytest
import numpy as np
from concrete.compiler.utils import ACCEPTED_NUMPY_UINTS
from concrete.compiler import ClientSupport
@pytest.mark.parametrize(
"garbage",
[
pytest.param(None, id="None"),
pytest.param([0, 1, 2], id="list"),
pytest.param(0.5, id="float"),
pytest.param(2**70, id="large int"),
pytest.param("aze", id="str"),
pytest.param(np.float64(0.8), id="np.float64"),
],
)
def test_invalid_arg_type(garbage):
with pytest.raises(TypeError):
ClientSupport._create_lambda_argument(garbage, signed=False)
@pytest.mark.parametrize(
"value",
[
pytest.param(5, id="int"),
pytest.param(np.uint8(5), id="uint8"),
pytest.param(np.uint16(7), id="uint16"),
pytest.param(np.uint32(9), id="uint32"),
pytest.param(np.uint64(1), id="uint64"),
],
)
def test_accepted_ints(value):
try:
arg = ClientSupport._create_lambda_argument(value, signed=False)
except Exception:
pytest.fail(f"value of type {type(value)} should be supported")
assert arg.is_scalar(), "should have been a scalar"
assert arg.get_signed_scalar() == value
# TODO: #495
@pytest.mark.parametrize(
"dtype, maxvalue",
[
pytest.param(np.uint8, 2**8 - 1, id="uint8"),
pytest.param(np.uint16, 2**16 - 1, id="uint16"),
pytest.param(np.uint32, 2**32 - 1, id="uint32"),
pytest.param(np.uint64, 2**64 - 1, id="uint64"),
],
)
def test_accepted_ndarray(dtype, maxvalue):
value = np.array([0, 1, 2, maxvalue], dtype=dtype)
try:
arg = ClientSupport._create_lambda_argument(value, signed=False)
except Exception:
pytest.fail(f"value of type {type(value)} should be supported")
assert arg.is_tensor(), "should have been a tensor"
assert np.all(np.equal(arg.get_tensor_shape(), value.shape))
assert np.all(
np.equal(
value.astype(np.int64),
np.array(arg.get_signed_tensor_data()).reshape(arg.get_tensor_shape()),
)
)
def test_accepted_array_as_scalar():
value = np.array(7, dtype=np.uint16)
try:
arg = ClientSupport._create_lambda_argument(value, signed=False)
except Exception:
pytest.fail(f"value of type {type(value)} should be supported")
assert arg.is_scalar(), "should have been a scalar"
assert arg.get_signed_scalar() == value