LCZero: Progress and Scaling. Relation to CCRL Elo

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Werewolf
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Re: LCZero: Progress and Scaling. Relation to CCRL Elo

Post by Werewolf »

Amazing. I'll wait for the training before doing tests on the new one.
petero2
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Re: LCZero: Progress and Scaling. Relation to CCRL Elo

Post by petero2 »

duncan wrote:
Laskos wrote:
duncan wrote: do you know the elo of the strongest ai chess software today ?
http://www.computerchess.org.uk/ccrl/40 ... t_all.html

Look at 1 core performances, as LCZero is on one core too. Stockfish 9 on one core is about 3500 CCRL Elo.
I meant software which uses neural networks.is it giraffe ?
I think Texel Gi is the strongest that can run without a GPU/TPU. In my tests it is around 2820 on the CCRL 40/4 rating scale, so about 400 elo above Giraffe.
Milos
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Re: LCZero: Progress and Scaling. Relation to CCRL Elo

Post by Milos »

Laskos wrote:Now, with this post of Carlos Canavessi http://www.talkchess.com/forum/viewtopi ... 9&start=44 and the release of CPU and GPU versions, I have something odd happening. Although my GPU is weak, probably some 10 times slower than the best GTX cards, I didn't expect GPU-engine to perform so badly compared to CPU-only engine. In other GPU intensive tasks, it helps greatly over my Haswell four core i7 CPU + integrated GPU. Is LCZero using efficiently GPU?

Old LCZero shows the following:

Code: Select all

Generated 1924 moves
Detecting residual layers...v1...64 channels...6 blocks.
Initializing OpenCL.
Detected 1 OpenCL platforms.
Platform version: OpenCL 1.2 CUDA 9.1.75
Platform profile: FULL_PROFILE
Platform name:    NVIDIA CUDA
Platform vendor:  NVIDIA Corporation
Device ID:     0
Device name:   GeForce GT 730
Device type:   GPU
Device vendor: NVIDIA Corporation
Device driver: 388.13
Device speed:  1400 MHz
Device cores:  2 CU
Device score:  1112
Selected platform: NVIDIA CUDA
Selected device: GeForce GT 730
with OpenCL 1.2 capability.
Loaded existing SGEMM tuning.
Wavefront/Warp size: 32
Max workgroup size: 1024
Max workgroup dimensions: 1024 1024 64
BLAS Core: Haswell
New GPU LCZero shows the following (identical):

Code: Select all

Generated 1924 moves
Detecting residual layers...v1...64 channels...6 blocks.
Initializing OpenCL.
Detected 1 OpenCL platforms.
Platform version: OpenCL 1.2 CUDA 9.1.75
Platform profile: FULL_PROFILE
Platform name:    NVIDIA CUDA
Platform vendor:  NVIDIA Corporation
Device ID:     0
Device name:   GeForce GT 730
Device type:   GPU
Device vendor: NVIDIA Corporation
Device driver: 388.13
Device speed:  1400 MHz
Device cores:  2 CU
Device score:  1112
Selected platform: NVIDIA CUDA
Selected device: GeForce GT 730
with OpenCL 1.2 capability.
Loaded existing SGEMM tuning.
Wavefront/Warp size: 32
Max workgroup size: 1024
Max workgroup dimensions: 1024 1024 64
BLAS Core: Haswell
New CPU version shows:

Code: Select all

Generated 1924 moves
Detecting residual layers...v1...64 channels...6 blocks.
BLAS Core: Haswell


Using the old LCZero (actually the one from 1-2 days ago), and new CPU and GPU Windows binaries, I got the following:

Code: Select all

Games Completed = 300 of 300 (Avg game length = 97.535 sec)
Settings = RR/64MB/1000ms per move/M 500cp for 3 moves, D 140 moves/EPD:C:\LittleBlitzer\2moves_v1.epd(32000)
Time = 8427 sec elapsed, 0 sec remaining
 1.  LCZero Old               	53.0/200	45-139-16  	(L: m=139 t=0 i=0 a=0)	(D: r=6 i=9 f=1 s=0 a=0)	(tpm=972.7 d=11.29 nps=138)
 2.  LCZero GPU               	54.0/200	45-137-18  	(L: m=137 t=0 i=0 a=0)	(D: r=9 i=8 f=1 s=0 a=0)	(tpm=972.9 d=11.29 nps=98)
 3.  LCZero CPU               	193.0/200	190-4-6  	(L: m=4 t=0 i=0 a=0)	(D: r=3 i=3 f=0 s=0 a=0)	(tpm=960.7 d=14.66 nps=498)





   # PLAYER        : RATING  ERROR    POINTS  PLAYED     (%)   CFS(next)
   1 LCZero CPU    :  387.5   81.1     193.0     200    96.5     100    
   2 LCZero GPU    : -192.1   51.5      54.0     200    27.0      54    
   3 LCZero Old    : -195.4   52.6      53.0     200    26.5     ---    

White advantage = 0.00 +/- 28.99
Draw rate (equal opponents) = 12.69 % +/- 2.87

CPU LCZero has some 5 times higher NPS than GPU LCZero, and is much stronger. The old and the new Windows GPU version seem to perform comparably. With the old LCZero, I got

LCZero Old versus Zurichess Appenzeller (Elo 1821 CCRL):
1s/move:
9.0 - 91.0



Now, with the CPU version, I get a much better result:

LCZero CPU (one core) versus Zurichess Appenzeller (Elo 1821 CCRL):
1s/move:
33.0 - 67.0

Which gives a rating of about 1700 CCRL Elo points for CPU version. I have to revise my plot for progress and extrapolation, using stronger on my PC CPU version. From 27th to 28th of March, LCZero advanced very little, maybe it is a sign of plateauing? If not, the extrapolation on one core (for CPU version on my Haswell) would look as following:

Image
This is toatally normal since your GPU is really crap (pardon my French :)).
GT 730 is like 15 times slower than 1080 in terms of dot product ops, and 1080 is just slightly faster than 5960X with all 8 cores so I guess 4 cores Haswell (4770K is it?) being 5 times faster than 730 is really spot on ;).
lkaufman
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Location: Maryland USA

Re: LCZero: Progress and Scaling. Relation to CCRL Elo

Post by lkaufman »

petero2 wrote:
duncan wrote:
Laskos wrote:
duncan wrote: do you know the elo of the strongest ai chess software today ?
http://www.computerchess.org.uk/ccrl/40 ... t_all.html

Look at 1 core performances, as LCZero is on one core too. Stockfish 9 on one core is about 3500 CCRL Elo.
I meant software which uses neural networks.is it giraffe ?
I think Texel Gi is the strongest that can run without a GPU/TPU. In my tests it is around 2820 on the CCRL 40/4 rating scale, so about 400 elo above Giraffe.
I'd like to ask a somewhat different question, what is the elo of the strongest non-private chess software (using CPU, not GPU) today that uses Monte-Carlo Tree Search, regardless of its evaluation function?
Komodo rules!
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CMCanavessi
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Re: LCZero: Progress and Scaling. Relation to CCRL Elo

Post by CMCanavessi »

lkaufman wrote:
petero2 wrote:
duncan wrote:
Laskos wrote:
duncan wrote: do you know the elo of the strongest ai chess software today ?
http://www.computerchess.org.uk/ccrl/40 ... t_all.html

Look at 1 core performances, as LCZero is on one core too. Stockfish 9 on one core is about 3500 CCRL Elo.
I meant software which uses neural networks.is it giraffe ?
I think Texel Gi is the strongest that can run without a GPU/TPU. In my tests it is around 2820 on the CCRL 40/4 rating scale, so about 400 elo above Giraffe.
I'd like to ask a somewhat different question, what is the elo of the strongest non-private chess software (using CPU, not GPU) today that uses Monte-Carlo Tree Search, regardless of its evaluation function?
Scorpio maybe?
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Werewolf
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Re: LCZero: Progress and Scaling. Relation to CCRL Elo

Post by Werewolf »

CMCanavessi wrote:
lkaufman wrote:
petero2 wrote:
duncan wrote:
Laskos wrote:
duncan wrote: do you know the elo of the strongest ai chess software today ?
http://www.computerchess.org.uk/ccrl/40 ... t_all.html

Look at 1 core performances, as LCZero is on one core too. Stockfish 9 on one core is about 3500 CCRL Elo.
I meant software which uses neural networks.is it giraffe ?
I think Texel Gi is the strongest that can run without a GPU/TPU. In my tests it is around 2820 on the CCRL 40/4 rating scale, so about 400 elo above Giraffe.
I'd like to ask a somewhat different question, what is the elo of the strongest non-private chess software (using CPU, not GPU) today that uses Monte-Carlo Tree Search, regardless of its evaluation function?
Scorpio maybe?
But for how long? :wink:
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Laskos
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Full name: Kai Laskos

Re: LCZero: Progress and Scaling. Relation to CCRL Elo

Post by Laskos »

Milos wrote: This is toatally normal since your GPU is really crap (pardon my French :)).
GT 730 is like 15 times slower than 1080 in terms of dot product ops, and 1080 is just slightly faster than 5960X with all 8 cores so I guess 4 cores Haswell (4770K is it?) being 5 times faster than 730 is really spot on ;).
Yes, it is so. I knew that my GPU is crap, but not that crap. I am using now the LCZero CPU engine on 4 cores, its NPS are close to a good GPU one. It performs on 4 cores remarkably well, and scales well. Against two close to 1800 CCRL Elo engines, Zurichess and Predateur, the rating and scaling are (raw data are at the end):

0.1s/move:
1600 CCRL Elo points

1s/move
1900 CCRL Elo points

10s/move
2000 CCRL Elo points

Error margins are pretty large, but the trend is obvious. So, on a good GPU, LCZero performs at about 2000 CCRL Elo points at not very short time controls, which is not bad. Maybe LTC even better.

Data:

Code: Select all

======================================================================================================================
Games Completed = 40 of 40 (Avg game length = 6.945 sec)
Settings = Gauntlet/64MB/100ms per move/M 500cp for 3 moves, D 140 moves/EPD:C:\LittleBlitzer\2moves_v1.epd(32000)
Time = 1097 sec elapsed, 0 sec remaining

 1.  LCZero CPU 4 threads        	 10.0/40	9-29-2  	(L: m=29 t=0 i=0 a=0)	(D: r=2 i=0 f=0 s=0 a=0)	(tpm=65.3 d=12.34 nps=2016)


 2.  Predateur 2.2.1 (1786)   	    15.0/20	14-4-2  	(L: m=4 t=0 i=0 a=0)	(D: r=2 i=0 f=0 s=0 a=0)	(tpm=154.3 d=11.12 nps=2975576)
 3.  Zurichess Appenzeller (1821)	 15.0/20	15-5-0  	(L: m=5 t=0 i=0 a=0)	(D: r=0 i=0 f=0 s=0 a=0)	(tpm=10.8 d=3.25 nps=1263488)
=======================================================================================================================




=======================================================================================================================
Games Completed = 40 of 40 (Avg game length = 80.504 sec)
Settings = Gauntlet/64MB/1000ms per move/M 500cp for 3 moves, D 140 moves/EPD:C:\LittleBlitzer\2moves_v1.epd(32000)
Time = 4039 sec elapsed, 0 sec remaining

 1.  LCZero CPU 4 threads        	 27.5/40	25-10-5  	(L: m=10 t=0 i=0 a=0)	(D: r=4 i=0 f=0 s=0 a=1)	(tpm=960.6 d=17.36 nps=3231)


 2.  Predateur 2.2.1 (1786)   	     8.0/20 	8-12-0  	(L: m=12 t=0 i=0 a=0)	(D: r=0 i=0 f=0 s=0 a=0)	(tpm=888.1 d=54.40 nps=3109201)
 3.  Zurichess Appenzeller (1821)	  4.5/20	 2-13-5  	(L: m=13 t=0 i=0 a=0)	(D: r=4 i=0 f=0 s=0 a=1)	(tpm=22.9 d=4.84 nps=919140)
========================================================================================================================




========================================================================================================================
Games Completed = 40 of 40 (Avg game length = 769.582 sec)
Settings = Gauntlet/64MB/10000ms per move/M 500cp for 3 moves, D 140 moves/EPD:C:\LittleBlitzer\2moves_v1.epd(32000)
Time = 31605 sec elapsed, 0 sec remaining

 1.  LCZero CPU 4 threads        	 30.5/40     29-8-3  	(L: m=7 t=0 i=0 a=1)	(D: r=2 i=0 f=0 s=0 a=1)	(tpm=9965.7 d=22.06 nps=5915)


 2.  Predateur 2.2.1 (1786)       	6.5/20      6-13-1  	(L: m=13 t=0 i=0 a=0)	(D: r=0 i=0 f=0 s=0 a=1)	(tpm=7908.0 d=35.37 nps=2870436)
 3.  Zurichess Appenzeller (1821)	 3.0/20  	 2-16-2  	(L: m=15 t=0 i=0 a=1)	(D: r=2 i=0 f=0 s=0 a=0)	(tpm=145.2 d=6.07 nps=903462)
=========================================================================================================================
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Laskos
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Full name: Kai Laskos

Re: LCZero: Progress and Scaling. Relation to CCRL Elo

Post by Laskos »

Laskos wrote:
Milos wrote: This is toatally normal since your GPU is really crap (pardon my French :)).
GT 730 is like 15 times slower than 1080 in terms of dot product ops, and 1080 is just slightly faster than 5960X with all 8 cores so I guess 4 cores Haswell (4770K is it?) being 5 times faster than 730 is really spot on ;).
Yes, it is so. I knew that my GPU is crap, but not that crap. I am using now the LCZero CPU engine on 4 cores, its NPS are close to a good GPU one. It performs on 4 cores remarkably well, and scales well. Against two close to 1800 CCRL Elo engines, Zurichess and Predateur, the rating and scaling are (raw data are at the end):

0.1s/move:
1600 CCRL Elo points

1s/move
1900 CCRL Elo points

10s/move
2000 CCRL Elo points

Error margins are pretty large, but the trend is obvious. So, on a good GPU, LCZero performs at about 2000 CCRL Elo points at not very short time controls, which is not bad. Maybe LTC even better.

Data:

Code: Select all

======================================================================================================================
Games Completed = 40 of 40 (Avg game length = 6.945 sec)
Settings = Gauntlet/64MB/100ms per move/M 500cp for 3 moves, D 140 moves/EPD:C:\LittleBlitzer\2moves_v1.epd(32000)
Time = 1097 sec elapsed, 0 sec remaining

 1.  LCZero CPU 4 threads        	 10.0/40	9-29-2  	(L: m=29 t=0 i=0 a=0)	(D: r=2 i=0 f=0 s=0 a=0)	(tpm=65.3 d=12.34 nps=2016)


 2.  Predateur 2.2.1 (1786)   	    15.0/20	14-4-2  	(L: m=4 t=0 i=0 a=0)	(D: r=2 i=0 f=0 s=0 a=0)	(tpm=154.3 d=11.12 nps=2975576)
 3.  Zurichess Appenzeller (1821)	 15.0/20	15-5-0  	(L: m=5 t=0 i=0 a=0)	(D: r=0 i=0 f=0 s=0 a=0)	(tpm=10.8 d=3.25 nps=1263488)
=======================================================================================================================




=======================================================================================================================
Games Completed = 40 of 40 (Avg game length = 80.504 sec)
Settings = Gauntlet/64MB/1000ms per move/M 500cp for 3 moves, D 140 moves/EPD:C:\LittleBlitzer\2moves_v1.epd(32000)
Time = 4039 sec elapsed, 0 sec remaining

 1.  LCZero CPU 4 threads        	 27.5/40	25-10-5  	(L: m=10 t=0 i=0 a=0)	(D: r=4 i=0 f=0 s=0 a=1)	(tpm=960.6 d=17.36 nps=3231)


 2.  Predateur 2.2.1 (1786)   	     8.0/20 	8-12-0  	(L: m=12 t=0 i=0 a=0)	(D: r=0 i=0 f=0 s=0 a=0)	(tpm=888.1 d=54.40 nps=3109201)
 3.  Zurichess Appenzeller (1821)	  4.5/20	 2-13-5  	(L: m=13 t=0 i=0 a=0)	(D: r=4 i=0 f=0 s=0 a=1)	(tpm=22.9 d=4.84 nps=919140)
========================================================================================================================




========================================================================================================================
Games Completed = 40 of 40 (Avg game length = 769.582 sec)
Settings = Gauntlet/64MB/10000ms per move/M 500cp for 3 moves, D 140 moves/EPD:C:\LittleBlitzer\2moves_v1.epd(32000)
Time = 31605 sec elapsed, 0 sec remaining

 1.  LCZero CPU 4 threads        	 30.5/40     29-8-3  	(L: m=7 t=0 i=0 a=1)	(D: r=2 i=0 f=0 s=0 a=1)	(tpm=9965.7 d=22.06 nps=5915)


 2.  Predateur 2.2.1 (1786)       	6.5/20      6-13-1  	(L: m=13 t=0 i=0 a=0)	(D: r=0 i=0 f=0 s=0 a=1)	(tpm=7908.0 d=35.37 nps=2870436)
 3.  Zurichess Appenzeller (1821)	 3.0/20  	 2-16-2  	(L: m=15 t=0 i=0 a=1)	(D: r=2 i=0 f=0 s=0 a=0)	(tpm=145.2 d=6.07 nps=903462)
=========================================================================================================================
Interesting to compare LCZero with a standard engine of similar strength at 1s/move, Predateur 2.2.1.

The average length of the Wins:
LCZero: 34.7 moves
Predateur: 51.9 moves

The paired histogram of the Wins by each engine is the following:

Image

It seems LCZero plays much better the openings and early midgames than the endgames compared to a standard engine of similar strength. Endgames will be a problem maybe for a long time.
Jouni
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Re: LCZero: Progress and Scaling. Relation to CCRL Elo

Post by Jouni »

I will download LCZero when it beats SF9 and comes in one <10 MB exe-file. But I admit not to understand whole projest at all :) .
Jouni
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CMCanavessi
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Re: LCZero: Progress and Scaling. Relation to CCRL Elo

Post by CMCanavessi »

Kai, how much nps are you getting running 4 CPU threads? Would it be possible to estimate how much you would get running around 43 like TCEC does, and the approx. strenght?
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