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Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Wed Feb 22, 2017 3:51 pm
by Shoreline
as0770 wrote:Shoreline wrote:splee99 wrote:Why not post the home page here? It is open source right? I'm not so familiar with the dragon server and was lost in finding any info.
Here is source link:
https://github.com/zakki/Ray
When I compile this it says it is version 8.0.1, the same as a compile from one year ago.
There is link "6 releases", pick the latest one, rn3.10, which was released just couple of days ago
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Wed Feb 22, 2017 4:36 pm
by roy7
Shoreline wrote:There is link "6 releases", pick the latest one, rn3.10, which was released just couple of days ago
Oh there's binaries too, at least for 3.3. I was trying to compile myself direct off the github.
I tried compiling
https://github.com/zakki/Ray/releases/tag/rn-3.10.2
for Windows with MWIN2 and gcc 6.3.0. To get past compiler errors in UctSearch.cpp I had to change "std::atomic_int64_t" to "std::atomic<std::int64_t>" in the appropriate spots, and also change atomic_fetch_add in some places to be "(long int)1) instead of "1)" at the end of the function all.
Unfortunately, it will seg faults a lot if I try running it after compilation. This is with the CNTK beta 11 CPU-only version. The last binary release was rn-3.3.
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Wed Feb 22, 2017 5:28 pm
by ez4u
I assume you are one of the developers. Is there any chance you could add binaries for 3.10?
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Wed Feb 22, 2017 10:08 pm
by Shoreline
Just report to everyone here that Rayon Bot (RN3.9) at DGS achieved 6 dan level and slaughtered a human 5 dan player on an even game. I actually
do not know exactly the upper limit strength of this Rayon Bot at DGS, could be a lot stronger than 6 dan.
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Wed Feb 22, 2017 11:16 pm
by Shoreline
http://www.yss-aya.com/cgos/19x19/bayes.html
Leela 0.9.1 is out in the results. It appears that new leela is significantly weaker than RN3.9, The difference could be several stones.
Just got information from Rayon authoer that RN3.9-4c in the above link CGOS ranking uses 4core i7 and GTX-980Ti GPU. This setting is significantly beefer setting than my DGS Rayon Bot setup
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Thu Feb 23, 2017 12:00 am
by pookpooi
Hard to compare between different program because of different hardware (4 cores vs. 1 core + 1 gpu)
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Thu Feb 23, 2017 1:40 am
by Garf
Shoreline wrote:http://www.yss-aya.com/cgos/19x19/bayes.html
Leela 0.9.1 is out in the results. It appears that new leela is significantly weaker than RN3.9, The difference could be several stones.
I think you misread, it is not Leela 0.9.1, it is Leela 0.9 running on a single core. It's stronger than Rn3.8 on 4 cores + GPU.
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Thu Feb 23, 2017 6:13 am
by Shoreline
Garf wrote:Shoreline wrote:http://www.yss-aya.com/cgos/19x19/bayes.html
Leela 0.9.1 is out in the results. It appears that new leela is significantly weaker than RN3.9, The difference could be several stones.
I think you misread, it is not Leela 0.9.1, it is Leela 0.9 running on a single core. It's stronger than Rn3.8 on 4 cores + GPU.
Leela0.9.1c1g in the link. I suppose that is leela 0.9 1 CPU with 1 GPU. In the go AI, GPU calculation is the main calculator,
CPU does not matter that much. That is still a comparable hardware.
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Thu Feb 23, 2017 7:14 am
by Mike Novack
Just a note --- if we are going to discuss the effect of hardware on the playing strength of these programs we can't just say things like "a 4 core I7". That encompasses a range in crunch power almost 4:1 between the strongest and the weakest I7 << about the same ratio as between the strongest CPU's being used by go programs and the strongest I7's >>
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Thu Feb 23, 2017 7:38 am
by roy7
Shoreline wrote:Leela0.9.1c1g in the link. I suppose that is leela 0.9 1 CPU with 1 GPU. In the go AI, GPU calculation is the main calculator,
CPU does not matter that much. That is still a comparable hardware.
Leela makes great use of the cpu though. GPU is only used for the neural network related computations, the rest of the program is all cpu based.
Yes GPU is important and no GPU means weaker play, but a strong cpu will make a much stronger Leela.
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Thu Feb 23, 2017 8:41 am
by Shoreline
I got an alert from the author that Rn.3.10.2 windows binary version is available for download. But it requires GPU
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Thu Feb 23, 2017 8:49 am
by Gomoto
Can you provide the link to the binary? Thanks.
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Thu Feb 23, 2017 8:54 am
by as0770
Shoreline wrote:as0770 wrote:
When I compile this it says it is version 8.0.1, the same as a compile from one year ago.
There is link "6 releases", pick the latest one, rn3.10, which was released just couple of days ago
Thanks but it won't compile:
g++ -O3 -Wall -std=c++11 -g -c src/UctSearch.cpp -o src/UctSearch.o
src/UctSearch.cpp:39:18: fatal error: Eval.h: Datei oder Verzeichnis nicht gefunden
#include "Eval.h"
^
compilation terminated.
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Thu Feb 23, 2017 8:56 am
by roy7
Gomoto wrote:Can you provide the link to the binary? Thanks.
https://github.com/zakki/Ray/releases
Re: Rayon (rn-3.9) is the strongest open source go AI
Posted: Thu Feb 23, 2017 8:57 am
by roy7
as0770 wrote:Thanks but it won't compile:
g++ -O3 -Wall -std=c++11 -g -c src/UctSearch.cpp -o src/UctSearch.o
src/UctSearch.cpp:39:18: fatal error: Eval.h: Datei oder Verzeichnis nicht gefunden
#include "Eval.h"
^
compilation terminated.
You have to download the CNTK as well and add the cntk/Include directory to the includes path when compiling. Either add to your PATH in general or add
When you link at the end you'll need to add cntk/ctnk/EvalDll.dll (I think it was called) to the list of objects on the file command make does.