- Rename `extract_slice_parametric_2x2` to `extract_slice_parametric_2x2x2x2` to reflect the 4-dimensional structure of the tiles. - Make the array with the specification of the dimensions in `extract_slice_parametric_2x2x2x2` a `constexpr` in order to prevent the array `A` from being treated as a variable-length array. - Cast the expression for the expected size of the result to `size_t` and change the type of the induction variables of the loop nest producing the initial values for the array `A` to `int64_t` to avoid warnings about the comparison of integer expressions with different signedness.
Homomorphizer
The homomorphizer is a compiler that 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