Comments (3)
QueensGambit
commented on May 18, 2024
Which version of CrazyAra are you using?
Both the latest C++ release, CrazyAra 0.8.0, and the last python release, CrazyAra 0.5.1, have a routine to skip the search if only a single move is legal:
Does this also occur if you set Moves: to 0 in CuteChess' game configuration window which means that both engines have 10 minutes available for the whole match?
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DeFilippis
commented on May 18, 2024
I'm using CrazyAra 0.8.0 for MacOS. This issue occurs even if I set Moves to 0 in CuteChess' game configuration window. You can test it yourself with the following FEN: 3r1rk1/ppp1Nppp/3p4/2bPp3/2Bn2b1/3P1N2/PPP2PPP/R2Q1RK1/Qbn b - - 2 11.
With 10 minutes available for the whole match, CrazyAra is taking about 20 seconds on that move on my laptop.
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QueensGambit
commented on May 18, 2024
Thank you @DeFilippis for providing an example FEN and the version number.
I was able to replicate this issue.
It seems that single move are only played instantly if parts of the former tree are reused.
If CrazyAra is run with a GPU back-end this is the default case (e.g. move 25. Rxg1 {+21.61/10 0.016s} in the following PGN).
[Event "My Tournament"]
[Site "?"]
[Date "2021.01.14"]
[Round "5"]
[White "CrazyAra-0.8.0-risev2-BSize-16-FP16"]
[Black "CrazyAra-0.8.0-risev2-BSize-16-FP16"]
[Result "1-0"]
[GameDuration "00:00:12"]
[GameEndTime "2021-01-14T17:12:43.380 CET"]
[GameStartTime "2021-01-14T17:12:30.854 CET"]
[PlyCount "59"]
[TimeControl "10+0.1"]
[Variant "crazyhouse"]
1. e4 {book} c5 {book} 2. Nf3 {book} e6 {book} 3. d4 {book} cxd4 {book}
4. Nxd4 {book} Nc6 {book} 5. Nc3 {book} Qc7 {book} 6. Be3 {book} a6 {book}
7. Bd3 {book} b5 {book} 8. O-O {book} Bb7 {book} 9. Qe2 {book} Nf6 {book}
10. f4 {book} Nxd4 {book} 11. Bxd4 {+5.61/22 0.31s} N@h5 {-5.14/21 0.30s}
12. e5 {+7.22/23 0.31s} P@g3 {-6.66/22 0.31s} 13. P@b6 {+6.95/18 0.31s}
Qc6 {-6.70/16 0.31s} 14. N@e4 {+8.75/21 0.32s} Nxe4 {-8.32/21 0.32s}
15. Bxe4 {+9.89/22 0.32s} Qc5 {-9.32/18 0.32s} 16. N@c7+ {+10.80/20 0.32s}
Kd8 {-10.30/18 0.32s} 17. Bxc5 {+11.29/17 0.33s} Bxc5+ {-10.97/20 0.32s}
18. Kh1 {+11.62/17 0.33s} gxh2 {-11.30/16 0.33s} 19. Q@h4+ {+12.51/15 0.33s}
B@e7 {-12.34/16 0.33s} 20. Qexh5 {+14.43/14 0.34s} Bxh4 {-13.63/14 0.34s}
21. Qxh4+ {+15.08/11 0.34s} f6 {-14.06/13 0.34s} 22. Nxa8 {+17.41/15 0.35s}
Bxa8 {-14.23/12 0.35s} 23. R@b8+ {+20.80/13 0.35s} N@c8 {-20.64/12 0.35s}
24. exf6 {+28.11/12 0.35s} Q@g1+ {-23.34/11 0.35s} 25. Rxg1 {+21.61/10 0.016s}
hxg1=Q+ {-24.10/10 0.36s} 26. Rxg1 {+18.77/8 0.004s} R@h2+ {-21.27/8 0.36s}
27. Kxh2 {+36.09/8 0.41s} Bxg1+ {-28.24/7 0.37s} 28. Kxg1 {+35.80/6 0.42s}
P@f2+ {-25.28/5 0.37s} 29. Qxf2 {+41.35/5 0.43s} R@e8 {-75.09/2 0.38s}
30. Q@c7# {+M1/1 0.014s, White mates} 1-0I plan to fix this bug for the upcoming release.
The current NN-backend for Mac also doesn't use Intel-MKL yet which should roughly double the number of nodes per second.
Moreover, I managed to calibrate INT8 weights for the Intel-MKL backend which will be provided in the next release.
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