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8255d3e190
Returning tensors with elements whose width is not equal to 64 results in garbled data. This commit extends the `TensorData` class used to represent tensors in JIT compilation with support for signed / unsigned elements of 8/16/32 and 64 bits, such that all clear text tensors with up to 64 bits can be represented accurately.
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