Yes you are right, thank you!
A question about distilled networks: How does Lc0 (CPU only) use the hash tables? Is this the same as with the GPU version?
11258-32x4-se distilled network released
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Re: 11258-32x4-se distilled network released
This is nncache, i.e. nn evals cached. Should all be the same. Just the method of how the nn eval is computed is via blas (cpu), opencl (non-nvidia) or cuda (nvidia).
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".
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Re: 11258-32x4-se distilled network released
Results so far and conditions, games, stats...Guenther wrote: ↑Mon Feb 11, 2019 8:03 pm
With the 112*9se network nps increases may be by a factor of 5-6.
But this is not the only positive aspect. Due to passive cooling it always went too hot before even with an open case,
while it now runs around 10-15 degrees lower in non bullet games.
Currently testing against Laser 1.7.
https://docs.google.com/spreadsheets/d/ ... 1504643818
playing at a level above 3100 here @GT 710 (compared to CCRL 40/4 rating single core)
Code: Select all
# PLAYER : RATING ERROR POINTS PLAYED (%) W D L
1 Laser_17-64 : 3268.33 136.18 13.5 20 67.50 10 7 3
2 Nirvanachess_24-64 : 3210.22 125.81 12.0 20 60.00 11 2 7
3 Nemorino_500-64 : 3210.22 125.49 12.0 20 60.00 8 8 4
4 Xiphos_04-64 : 3191.77 134.54 11.5 20 57.50 9 5 6
5 Chess22k_112-64 : 3173.60 126.31 11.0 20 55.00 7 8 5
6 Senpai_20-64 : 3137.71 126.70 10.0 20 50.00 7 6 7
7 ArasanX_212-64 : 3137.71 123.17 10.0 20 50.00 7 6 7
8 LC0_0202-ID11258#112x9 : 3137.71 40.29 109.0 212 51.42 77 64 71
9 Rofchade_20-64 : 3083.64 128.30 8.5 20 42.50 6 5 9
10 Pedone_18-64 : 3007.08 131.65 6.5 20 32.50 2 9 9
11 SmarThink_198-64 : 2941.55 200.36 3.0 12 25.00 2 2 8
12 Wasp_350-64 : 2941.55 144.79 5.0 20 25.00 2 6 12
White advantage = 50.38 +/- 21.84
Draw rate (equal opponents) = 32.48 % +/- 3.56