I can never lay my hands on a CCRL data trained net when I want one. I've made a 128x10 classical value head and convolutional policy head net available. https://github.com/dkappe/leela-chess-w ... i/CCRL-Net
It looks to be about 200 elo weaker than Bad Gyal 7, which is surprising to me.
CCRL Benchmark Net
Moderators: hgm, Rebel, chrisw
-
- Posts: 1631
- Joined: Tue Aug 21, 2018 7:52 pm
- Full name: Dietrich Kappe
CCRL Benchmark Net
Fat Titz by Stockfish, the engine with the bodaciously big net. Remember: size matters. If you want to learn more about this engine just google for "Fat Titz".
-
- Posts: 247
- Joined: Tue Apr 13, 2010 10:41 am
Re: CCRL Benchmark Net
Hi Dietrich,
any explanation why your small girls/gyals are so much faster than the distilled networks at the same size?
On CPU: ./lc0 benchmark --minibatch-size=8 --max-prefetch=0
any explanation why your small girls/gyals are so much faster than the distilled networks at the same size?
On CPU: ./lc0 benchmark --minibatch-size=8 --max-prefetch=0
Code: Select all
nps size net
--------------------------
7850 32x4 meangirl-7
4700 48x5 bad-gyal-1
48x5 bad-gyal-2
48x5 evilgyal-6
4000 16x2 11258-16x2-se
3500 24x3 11258-24x3-se
3020 32x4 11258-32x4-se
2800 64x6 bad-gyal-3
2475 48x5 11258-48x5-se
1780 64x6 11258-64x6-se
Hope we're not just the biological boot loader for digital super intelligence. Unfortunately, that is increasingly probable - Elon Musk
-
- Posts: 1631
- Joined: Tue Aug 21, 2018 7:52 pm
- Full name: Dietrich Kappe
Re: CCRL Benchmark Net
The architecture is different, but other than that, no idea.
Fat Titz by Stockfish, the engine with the bodaciously big net. Remember: size matters. If you want to learn more about this engine just google for "Fat Titz".
-
- Posts: 1631
- Joined: Tue Aug 21, 2018 7:52 pm
- Full name: Dietrich Kappe
Re: CCRL Benchmark Net
Make that 250 elo. I think that this is a good piece of evidence that the SL tools surrounding lc0 yield suboptimal results.
Fat Titz by Stockfish, the engine with the bodaciously big net. Remember: size matters. If you want to learn more about this engine just google for "Fat Titz".