Re: Leela 0.11.0 Beta version slower than 0.10.0 ?
Posted: Wed Sep 27, 2017 4:05 am
One of our club members is 7d on Tygem, but 1 kyu FFG (EGF).
Life in 19x19. Go, Weiqi, Baduk... Thats the life.
https://lifein19x19.com/
France is notorious for its under-ranked players (particularly young improvers), but also FFG rank != EGF rank, they have their own parallel internal rating system as well as submitting to EGD. Is this player 1 kyu in the EGF system, and has he gone about 50/50 in a tournament, such as the EGC, not just full of under-ranked French? I could believe a solid EGF 2d good at blitz is Tygem 7d, but not a 1k.Pio2001 wrote:One of our club members is 7d on Tygem, but 1 kyu FFG (EGF).
Very impressive. I also notice that Leela has 50% winrate against Fox 9d. Can we unanimously declare that Leela is the strongest freeware go AI? (and strongest go AI available to public right now, just before Zenith Go 7 release in upcoming months)johnsmith wrote:Anyways, LEELA(B) on Tygem has 50:50 score against pros. That surely tells something about its strength. And it only plays against pros.
What is Leela's name on Fox? I'd like to check out those games.pookpooi wrote:Very impressive. I also notice that Leela has 50% winrate against Fox 9d. Can we unanimously declare that Leela is the strongest freeware go AI? (and strongest go AI available to public right now, just before Zenith Go 7 release in upcoming months)johnsmith wrote:Anyways, LEELA(B) on Tygem has 50:50 score against pros. That surely tells something about its strength. And it only plays against pros.
Code: Select all
200000 games in 7.06 seconds -> 28328 g/s (3541 g/s per thread)
Avg Len: 451.75 Score: -1.973360
CPU:
2000 predictions in 21.45 seconds -> 93 p/s
10000 evaluations in 22.74 seconds -> 439 p/s
GPU:
2000 predictions in 1.69 seconds -> 1183 p/s
10000 evaluations in 3.92 seconds -> 2551 p/s
Code: Select all
200000 games in 8.39 seconds -> 23837 g/s (2979 g/s per thread)
Avg Len: 418.56 Score: -2.432680
CPU:
2000 predictions in 15.97 seconds -> 125 p/s
10000 evaluations in 33.16 seconds -> 301 p/s
GPU:
2000 predictions in 3.28 seconds -> 609 p/s
10000 evaluations in 4.13 seconds -> 2421 p/s