Building and running Lc0

Building right now may be a bit rough, we are improving and finding ways to simplifying the build process.

Linux (generic)

1. (if you want version with tensorflow) Install tensorflow_cc by following steps described here.
2. (if you want cuDNN version) Install CUDA and cuDNN.
3. Install ninja build (ninja-build), meson, and (optionally) gtest (libgtest-dev).
4. Go to lc0/
5. Run ./build.sh
6. lc0 will be in lc0/build/release/ directory

If you want to build with a different compiler, pass the CC and CXX environment variables:

CC=clang-6.0 CXX=clang++-6.0 ./build.sh

Ubuntu 16.04

For Ubuntu 16.04 you need the latest version of meson and clang-6.0 before performing the steps above:

wget -O - https://apt.llvm.org/llvm-snapshot.gpg.key | sudo apt-key add -
sudo apt-get update
sudo apt-get install clang-6.0 ninja-build
pip3 install meson --user
CC=clang-6.0 CXX=clang++-6.0 INSTALL_PREFIX=~/.local ./build.sh

Make sure that ~/.local/bin is in your PATH environment variable. You can now type lc0 --help and start.

Windows

0. Install Microsoft Visual Studio
1. Install CUDA (v9.2 is fine)
2. Install cuDNN.
3. Install Python3
4. Install Meson: pip3 install --upgrade meson
5. Edit build-cuda.cmd:

• If you use MSVS other than 2015 (or if it's installed into non-standard location):
  • C:\Program Files (x86)\Microsoft Visual Studio 14.0\ replace 14.0 with your version
  • --backend 2015 replace 2015 with your version
• C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\lib\x64 replace with your CUDA path
• C:\dev\cuDNN\ replace with your cuDNN directory

6. Run build-cuda.cmd. It will generate MSVS project and pause.

Then either:

7. Hit to build it.
8. Resulting binary will be build/lc0.exe

Or.

7. Opten generated solution build/lc0.sln in Visual Studio and build yourself.