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marsell wrote: ↑Sat Jun 13, 2020 11:29 am May I ask how to use these engines? They don't run in the gui arena.
ty

Raphexon wrote: ↑Sat Jun 13, 2020 11:46 am

marsell wrote: ↑Sat Jun 13, 2020 11:29 am May I ask how to use these engines? They don't run in the gui arena.
ty

What CPU do you have.
The binaries I linked require BMI2 support (Haswell or newer, Ryzen or newer if AMD)
Are you installing the halfkp binaries, and did you put the 20mb nn in the eval folder? (And renamed it to nn.bin)

marsell wrote: ↑Sat Jun 13, 2020 12:30 pm my cpu is a intel i7 4790k running on windows 10 Pro
I tried to install the halfkp binaries with the 20 mb nn, renamed as nn.bin.
But it looks like it's still not working

Raphexon wrote: ↑Fri Jun 12, 2020 11:14 pm This is my current net:

Trained on depth 8 data.
Validated with depth 19 data.


For use rename it to nn.bin and replace the original nn.bin in the "eval" folder.

For use with:

stockfish.nnue-learn-use-blas.halfkp_256x2-32-32.exe
And
stockfish.nnue.halfkp_256x2-32-32.exe
https://github.com/nodchip/Stockfish/re ... 2020-06-09

I'm currently generating new training data with it, will be able to release something new in a few days I hope.

Joerg Oster wrote: ↑Sat Jun 13, 2020 2:46 pm

Raphexon wrote: ↑Fri Jun 12, 2020 11:14 pm This is my current net:

Trained on depth 8 data.
Validated with depth 19 data.


For use rename it to nn.bin and replace the original nn.bin in the "eval" folder.

For use with:

stockfish.nnue-learn-use-blas.halfkp_256x2-32-32.exe
And
stockfish.nnue.halfkp_256x2-32-32.exe
https://github.com/nodchip/Stockfish/re ... 2020-06-09

I'm currently generating new training data with it, will be able to release something new in a few days I hope.

Are you still training without draws?
Probably not a good idea, imho.

In my copy of SF-NNUE https://github.com/joergoster/Stockfish-NNUE I enabled to use draw results, as well.
Hopefully, I did everything right.
When compiling from source it will use halfkp_256x2-32-32 architecture by default.

I also think that the initial learning rate (eta = 1.0) might be too high.

cucumber wrote: ↑Sat Jun 13, 2020 3:28 pm

Joerg Oster wrote: ↑Sat Jun 13, 2020 2:46 pm

Raphexon wrote: ↑Fri Jun 12, 2020 11:14 pm This is my current net:

Trained on depth 8 data.
Validated with depth 19 data.


For use rename it to nn.bin and replace the original nn.bin in the "eval" folder.

For use with:

stockfish.nnue-learn-use-blas.halfkp_256x2-32-32.exe
And
stockfish.nnue.halfkp_256x2-32-32.exe
https://github.com/nodchip/Stockfish/re ... 2020-06-09

I'm currently generating new training data with it, will be able to release something new in a few days I hope.

Are you still training without draws?
Probably not a good idea, imho.

In my copy of SF-NNUE https://github.com/joergoster/Stockfish-NNUE I enabled to use draw results, as well.
Hopefully, I did everything right.
When compiling from source it will use halfkp_256x2-32-32 architecture by default.

I also think that the initial learning rate (eta = 1.0) might be too high.

Can you share all of your binaries (gensfen, half-kp, half-kp learn, etc.,) on Google Drive or as GitHub releases? I know it's a lot to ask for, but I'd really appreciate it.