8cd3a3a599
For now what it works are only levelled ops with user parameters. (take a look to the tests) Done: - Add parameters to the fhe parameters to support CRT-based large integers - Add command line options and tests options to allows the user to give those new parameters - Update the dialects and pipeline to handle new fhe parameters for CRT-based large integers - Update the client parameters and the client library to handle the CRT-based large integers Todo: - Plug the optimizer to compute the CRT-based large interger parameters - Plug the pbs for the CRT-based large integer
Concrete Compiler
The Concrete Compiler takes a high level computation model and produces a programs that evaluate the model in an homomorphic way.
Build tarball
The final tarball contains intallation instructions. We only support Linux x86_64 for the moment. You can find the output tarball under /tarballs.
$ cd compiler
$ make release_tarballs
Build the Python Package
Currently supported platforms:
- Linux x86_64 for python 3.8, 3.9, and 3.10
Linux
We use the manylinux docker images for building python packages for Linux. Those packages should work on distributions that have GLIBC >= 2.24.
You can use Make to build the python wheels using these docker images:
$ cd compiler
$ make package_py38 # package_py39 package_py310
This will build the image for the appropriate python version then copy the wheels out under /wheels
Build wheels in your environment
Building the wheels is actually simple.
$ pip wheel --no-deps -w ../wheels .
Depending on the platform you are using (specially Linux), you might need to use auditwheel to specify the platform this wheel is targeting. For example, in our build of the package for Linux x86_64 and GLIBC 2.24, we also run:
$ auditwheel repair ../wheels/*.whl --plat manylinux_2_24_x86_64 -w ../wheels