Install the latest CompilerGym release using:
pip install -U compiler_gym
CompilerGym requires Python >= 3.7. The binary works on macOS and Linux (on Ubuntu 18.04, Fedora 28, Debian 10 or newer equivalents).
If you prefer, you may build from source. This requires a modern C++ toolchain Bazel and CMake.
On macOS the required dependencies can be installed using homebrew:
brew install bazelisk buildifier clang-format hadolint prototool zlib
export LDFLAGS="-L/usr/local/opt/zlib/lib"
export CPPFLAGS="-I/usr/local/opt/zlib/include"
export PKG_CONFIG_PATH="/usr/local/opt/zlib/lib/pkgconfig"
Now proceed to All platforms below.
On debian-based linux systems, install the required toolchain using:
sudo apt install -y clang clang-format golang libjpeg-dev \
libtinfo5 m4 make patch zlib1g-dev tar bzip2 wget
mkdir -pv ~/.local/bin
wget https://github.com/bazelbuild/bazelisk/releases/download/v1.7.5/bazelisk-linux-amd64 -O ~/.local/bin/bazel
wget https://github.com/hadolint/hadolint/releases/download/v1.19.0/hadolint-Linux-x86_64 -O ~/.local/bin/hadolint
chmod +x ~/.local/bin/bazel ~/.local/bin/hadolint
go install github.com/bazelbuild/buildtools/buildifier@latest
GO111MODULE=on go install github.com/uber/prototool/cmd/prototool@dev
export PATH="$HOME/.local/bin:$PATH"
export CC=clang
export CXX=clang++
We recommend using conda to manage the remaining build dependencies. First create a conda environment with the required dependencies:
conda create -y -n compiler_gym python=3.8
conda activate compiler_gym
conda install -y -c conda-forge cmake doxygen pandoc patchelf
Then clone the CompilerGym source code using:
git clone https://github.com/facebookresearch/CompilerGym.git
cd CompilerGym
If you plan to contribute to CompilerGym, install the development environment requirements using:
make dev-init
To build and install the compiler_gym
python package, run:
make install
Once this has completed, run the test suite on the installed package using:
make test
This may take a while. There are a number of options to make test
, see make help
for more information.
Each time you modify the sources it is necessary to rerun make install
before
make test
.
NOTE: To use the compiler_gym
package that is installed by make install
you must leave the root directory of this repository. Attempting to import
compiler_gym
while in the root of this repository will cause an import error.
When you are finished, you can deactivate and delete the conda environment using:
conda deactivate
conda env remove -n compiler_gym
Building with CMake is experimental and supports only Linux.
Install the dependencies using:
sudo apt-get install g++ lld \
autoconf libtool ninja-build ccache git \
Requires CMake (>=3.20).
wget https://github.com/Kitware/CMake/releases/download/v3.20.5/cmake-3.20.5-linux-x86_64.sh -O cmake.sh
bash cmake.sh --prefix=$HOME/.local --exclude-subdir --skip-license
rm cmake.sh
export PATH=$HOME/.local/bin:$PATH
By default most dependencies are built together with Compiler Gym. To search for a dependency instead use:
-DCOMPILER_GYM_<dependency>_PROVIDER=external
COMPILER_GYM_BOOST_PROVIDER
COMPILER_GYM_GFLAGS_PROVIDER
COMPILER_GYM_GLOG_PROVIDER
COMPILER_GYM_GRPC_PROVIDER
COMPILER_GYM_GTEST_PROVIDER
COMPILER_GYM_LLVM_PROVIDER
COMPILER_GYM_NLOHMANN_JSON_PROVIDER
COMPILER_GYM_PROTOBUF_PROVIDER
cmake \
-DCMAKE_C_COMPILER=clang \
-DCMAKE_CXX_COMPILER=clang++ \
-S "<path to source directory>" \
-B "<path to build directory>"
cmake --build "<path to build directory>"
pip install <path to build directory>/py_pkg/dist/compiler_gym*.whl --force-reinstall
Additional optional configuration arguments:
- Enables testing.
-DCOMPILER_GYM_BUILD_TESTS=ON
- Builds additional tools required by some examples.
-DCOMPILER_GYM_BUILD_EXAMPLES=ON
- For faster rebuilds.
-DCMAKE_C_COMPILER_LAUNCHER=ccache
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache
- For faster linking.
-DCMAKE_EXE_LINKER_FLAGS_INIT="-fuse-ld=lld"
-DCMAKE_MODULE_LINKER_FLAGS_INIT="-fuse-ld=lld"
-DCMAKE_SHARED_LINKER_FLAGS_INIT="-fuse-ld=lld"
By default, CompilerGym builds LLVM from source. This takes a long time and a
lot of compute resources. To prevent this, download a pre-compiled clang+llvm
release of LLVM 10.0.0 from the llvm-project releases
page, unpack
it, and pass path of the lib/cmake/llvm
subdirectory in the archive you just
extracted to LLVM_DIR
:
$ cmake ... \
-DCOMPILER_GYM_LLVM_PROVIDER=external \
-DLLVM_DIR=/path/to/llvm/lib/cmake/llvm