I recently managed to compile and successfully run the GPU version of Rn-4.2.5 on Ubuntu Linux 16.04 LTS after some struggles.
Since there seems to be no summary of how to set it up on Ubuntu, let me share my experience with you..
1. Install CNTK
This installation takes time and you will be required to install a whole bunch of other programs along the way. I had to cope with some compile errors and compatibility issues, which I will not describe in detail here because there is a rather detailed installation guide for CNTK (
https://docs.microsoft.com/en-us/cognit ... k-on-linux). Follow the instruction step by step and hopefully you will be fine..
Just make sure that you have properly installed the GPU version of CNTK if you want to use Rayon with GPU (for that, I had to add "--cuda=yes" when I ran "configure" as well as modifying some relevant options in the "configure" file).
2. Download the Rayon 4.2.5 source code from zakki's repository and unpack it
I downloaded Ray-rn-4.2.5.tar.gz from the release page below.
https://github.com/zakki/Ray/releasesUnpack it by, e.g. "tar xzvf Ray-rn-4.2.5.tar.gz".
3. Modify "Makefile"
Now you have to modify "Makefile" in "Ray-rn-4.2.5" directory so that the compiler knows where all the CNTK libraries and binaries are.
(Ln8) CNTKDIR = <path to your CNTK directory>
## If you have followed the CNTK installation guide above, this is the directory where your configure file is, not where the CTNK binaries are.
(Ln9) CFLAGS = ${OPTIMIZE} ${WARNING} ${CPP11} ${DEBUG}
-Xlinker -rpath -Xlinker ${CNTKDIR}/build/release/lib -I${CNTKDIR}/Source/Common/Include/## The part I changed is in italics. If you have followed the CNTK installation guide above, this should work. If not, the path may be different in your environment. You have to check where the CNTK libraries and the Include directory are.
(Ln10) LIBS = -lm -pthread
-L${CNTKDIR}/build/release/lib -lCntk.Eval-2.0## Again, make sure your library binaries can be found by the compiler. Also, make sure CNTK evaluation file is called libCntk.Eval-2.0.so, which is implied by the "-l" option. If it is just called libeval.so in your system, you have to retain "-leval" in the original Makefile.
And this is it. For 4.2.1, which I tried to compile first, I had to modify a few other things, but those issues seem to have been resolved in 4.2.5, so I definitely recommend you to begin with 4.2.5.
4. "Make" and compile!
In Ray-rn-4.2.5 directory, type "make".
If you are lucky enough, you will find "ray" executable on your directory. Enjoy!
As expected, Rayon 4.2.5 with GPU seems to be fairly strong, at least as strong as leela 0.10.0 judging from Rayon 7 - 5 Leela record on my PC so far.. I (KGS 4-5d) lost with 2 stone hadi.. haven't tried 3 stone yet.. Anyhow, happy to have such a strong Go program in open source. Kudos to the developers.
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