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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
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_internal
cd concrete_internal
git checkout engine_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_INTERNAL_PROJECT"
make build-initialized
Build the compiler
make concretecompiler
Test the compiler
#TODO: let cmake set this PATH
export LD_LIBRARY_PATH="path_to_concrete-compiler/compiler/build/lib/Runtime/"
make test
Run the compiler
./build/src/concretecompiler