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- Scalar types: int, np.uint8 (to extend with other types later), and np.ndarray with shape == () - Tensor types: np.ndarray
Building the compiler
Install MLIR following https://mlir.llvm.org/getting_started/ Use commit c2415d67a564
Install pybind11:
pip install pybind11
Build concrete library:
git clone https://github.com/zama-ai/concrete
cd concrete
git checkout feature/core_c_api
cd concrete-ffi
RUSTFLAGS="-C target-cpu=native" cargo build --release
Generate the compiler build system, in the build directory
export LLVM_PROJECT="PATH_TO_LLVM_PROJECT"
export CONCRETE_PROJECT="PATH_TO_CONCRETE_PROJECT"
make build-initialized
Build the compiler
make zamacompiler
Test the compiler
#TODO: let cmake set this PATH
export LD_LIBRARY_PATH="path_to_homomorphizer/compiler/build/lib/Runtime/"
make test
Run the compiler
./build/src/zamacompiler