and what about elo gains against other go programs?Gian-Carlo Pascutto wrote:10600 Elo gained in about 160 days would be about 66.duncan wrote: Probably makes little sense as I know little about either game. I was attempting to compare elo gains from leela zero to lczero.
lczero gets about 30 per day. do you know how many leela zero gets a day.?
But I don't think such a comparison makes much sense.
LCZero is using my cores, not my GPU.
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Re: LCZero is using my cores, not my GPU.
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Re: LCZero is using my cores, not my GPU.
There aren't enough to be useful as a baseline, Leela Zero is far stronger than anything else that is publicly available.duncan wrote: and what about elo gains against other go programs?
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Re: LCZero is using my cores, not my GPU.
Some numbers as references for the speed :Dann Corbit wrote:All for naught, it is clear to me that my GPU is not being used.Gian-Carlo Pascutto wrote:They're saved in the leelaz_opencl_tuning file and remembered.Dann Corbit wrote: The last line of the report was this:
(1269/5310) KWG=32 KWI=2 MDIMA=8 MDIMC=8 MWG=64 NDIMB=8 NDIMC=8 NWG=16 SA=0 SB=0 STRM=1 STRN=1 VWM=8 VWN=2 0.7962 ms (10.5 GFLOPS)
How do I start up with those settings?
The end-around I found on the net failed, and my back-off to an older driver is hung for an hour now.
I guess it is time to buy a nice Nvidia card.
On my old GTX 750 Ti : 0.7 Kn/s (700 n/s)
On a GTX 1080 Ti : around 2.5 Kn/s
On the TCEC server (43 cores @2.8 GHz) : 5 Kn/s
2 live video to watch LC0 playing :
https://www.twitch.tv/ccls
and :
https://www.twitch.tv/tcec_chess_tv
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Re: LCZero is using my cores, not my GPU.
so leela zero is stronger than Finearts ?Gian-Carlo Pascutto wrote:There aren't enough to be useful as a baseline, Leela Zero is far stronger than anything else that is publicly available.duncan wrote: and what about elo gains against other go programs?
https://qz.com/936654/googles-alpha-go- ... r-fineart/
FineArts first encountered Ke on foxwq.com during November, taking a win and a loss. But after an update in February, the algorithm has since won 10 straight games (link in Chinese) against the world’s No. 1 player.
As Tencent’s tech blog explains (link in Chinese), FineArts works in a similar way to AlphaGo. Both AIs comprise two computer systems modeled on the human brain, which can be trained on large data sets. One part of the system, the “policy network,” predicts which of the possible moves are the likeliest to be played. The other, the “value network,” then evaluates which of those is likeliest to win.
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Re: LCZero is using my cores, not my GPU.
I said "publicly available".duncan wrote:so leela zero is stronger than Finearts ?Gian-Carlo Pascutto wrote:There aren't enough to be useful as a baseline, Leela Zero is far stronger than anything else that is publicly available.duncan wrote: and what about elo gains against other go programs?
We have no way to test against Fineart. Of course, they are free to setup Leela Zero in a handicapped manner in a private match and claim superiority. This is an approach that has been proven successful in the past and is hence likely to be tried again.
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Re: LCZero is using my cores, not my GPU.
Lol, Deep Mind rings a bell .Gian-Carlo Pascutto wrote:Of course, they are free to setup Leela Zero in a handicapped manner in a private match and claim superiority. This is an approach that has been proven successful in the past and is hence likely to be tried again.
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Re: LCZero is using my cores, not my GPU.
My CPU training is working. Thought I'd try the GPU (it's not up to much but I could upgrade it) and get this:-
Any ideas about the last line error; it's something to do with the output chunker whatever that is...?
It was a clean install on Windows via the zip from the Leela website, then running:-
.\client.exe -debug
Code: Select all
Args: [C:\Users\Colin\Projects\leela\gpu-win/lczero --weights=networks\bb479ee94f3fb39fefb5a5b6db75bd57fd614dbd275424173
0d7cb377ebb5f68 -t1 --randomize -n -v800 -lC:\Users\Colin\Projects\leela\gpu-win/logs-274216/20180425162018.log --start=
train 274216-0 1]
Logging to C:\Users\Colin\Projects\leela\gpu-win/logs-274216/20180425162018.log.
Using 1 thread(s).
Detecting residual layers...v2...128 channels...10 blocks.
Initializing OpenCL.
Detected 1 OpenCL platforms.
Platform version: OpenCL 1.1 CUDA 6.5.51
Platform profile: FULL_PROFILE
Platform name: NVIDIA CUDA
Platform vendor: NVIDIA Corporation
Device ID: 0
Device name: GeForce 210
Device type: GPU
Device vendor: NVIDIA Corporation
Device driver: 342.01
Device speed: 1402 MHz
Device cores: 2 CU
Device score: 1111
Selected platform: NVIDIA CUDA
Selected device: GeForce 210
with OpenCL 1.1 capability.
Loaded existing SGEMM tuning.
Wavefront/Warp size: 32
Max workgroup size: 512
Max workgroup dimensions: 512 512 64
BLAS Core: Piledriver
id name lczero v0.7
id author The LCZero Authors
option name Threads type spin default 1 min 1 max 4
option name Quiet type check default false
option name FPU Reduction type string default 0.000000
option name Puct type string default 0.850000
option name SlowMover type spin default 89 min 1 max 2147483647
option name Go Nodes Visits type check default true
uciok
Created dirs data-274216-0
Found 0 existing chunks in data-274216-0/training
2018/04/25 16:20:24 exit status 3221226505
It was a clean install on Windows via the zip from the Leela website, then running:-
.\client.exe -debug
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Re: LCZero is using my cores, not my GPU.
On my laptop I am getting about 2k:Vinvin wrote:Some numbers as references for the speed :Dann Corbit wrote:All for naught, it is clear to me that my GPU is not being used.Gian-Carlo Pascutto wrote:They're saved in the leelaz_opencl_tuning file and remembered.Dann Corbit wrote: The last line of the report was this:
(1269/5310) KWG=32 KWI=2 MDIMA=8 MDIMC=8 MWG=64 NDIMB=8 NDIMC=8 NWG=16 SA=0 SB=0 STRM=1 STRN=1 VWM=8 VWN=2 0.7962 ms (10.5 GFLOPS)
How do I start up with those settings?
The end-around I found on the net failed, and my back-off to an older driver is hung for an hour now.
I guess it is time to buy a nice Nvidia card.
On my old GTX 750 Ti : 0.7 Kn/s (700 n/s)
On a GTX 1080 Ti : around 2.5 Kn/s
On the TCEC server (43 cores @2.8 GHz) : 5 Kn/s
2 live video to watch LC0 playing :
https://www.twitch.tv/ccls
and :
https://www.twitch.tv/tcec_chess_tv
26 01:05 131k 2k +0.20 e2-e4 e7-e5 Ng1-f3 d7-d6 Nb1-c3 Ng8-f6 h2-h3 Bf8-e7 d2-d4 e5xd4 Nf3xd4 O-O Bc1-f4 d6-d5 Nd4-b5 Nb8-a6 e4xd5 c7-c6 d5xc6 b7xc6 Qd1xd8
I ran the start position for a minute in Arena and this is what it gave. Hardware is i7-6600QM (16GB) and GTX980M (8GB)
"Tactics are the bricks and sticks that make up a game, but positional play is the architectural blueprint."
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Re: LCZero is using my cores, not my GPU.
Are you able to update your video driver? No idea if that's the cause, but this is extremely old.op12no2 wrote:
Device vendor: NVIDIA Corporation
Device driver: 342.01
...
Selected platform: NVIDIA CUDA
Selected device: GeForce 210
with OpenCL 1.1 capability.
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Re: LCZero is using my cores, not my GPU.
I'll give it a whirl.Gian-Carlo Pascutto wrote:
Are you able to update your video driver? No idea if that's the cause, but this is extremely old.
If I was to buy a video card just to train Leela, what would be recommend? I can get it through work; so may as well.