Comments (7)
The lossy part is very minimal, can definitely be ignored for visualization.
from nnue-pytorch.
input it into the PyTorch network
The simplest example would be here https://github.com/official-stockfish/nnue-pytorch/blob/master/cross_check_eval.py
and extract some intermediate layer representation
You need to make modifications to model.py to pass the intermediate layer outputs down the stack. The intermediate computations are not saved anywhere currently
from nnue-pytorch.
input it into the PyTorch network
The simplest example would be here https://github.com/official-stockfish/nnue-pytorch/blob/master/cross_check_eval.py
and extract some intermediate layer representation
You need to make modifications to model.py to pass the intermediate layer outputs down the stack. The intermediate computations are not saved anywhere currently
Great, I'll look into it, thank you very much!
from nnue-pytorch.
Is there any place from where I can download the already trained torch model used in Stockfish 16.1?
from nnue-pytorch.
would have to ask @linrock
you can also convert any .nnue network back to a pytorch model (though of course it will be lossy compared to the original model).
python serialize.py --features=HalfKAv2_hm from.nnue to.pt
though you should be able to just just .nnue models
from nnue-pytorch.
Is there any place from where I can download the already trained torch model used in Stockfish 16.1?
that's long gone. i stopped keeping trained .ckpt files around since they're huge and i never use them.
using .nnue files should accomplish what you want.
from nnue-pytorch.
Is there any place from where I can download the already trained torch model used in Stockfish 16.1?
that's long gone. i stopped keeping trained .ckpt files around since they're huge and i never use them.
using .nnue files should accomplish what you want.
You mean using the serialize.py
script mentioned by @Sopel97 ? what about what he mentioned about that the .nnue
will be lossy compared to the original model?
from nnue-pytorch.
Related Issues (20)
- Creating new training data files for new training objective HOT 1
- serialize with --features=HalfKP no longer works
- Wrong input size in SFNNv5 architecture diagram
- Pytorch Lightning Version
- Illegal instruction HOT 2
- serialize.py not working HOT 9
- Changing epoch size and resulting number of epochs when running train.py HOT 3
- Error with visualize.py HOT 2
- Loss Curves HOT 6
- Testing trained model HOT 7
- Is it possible to convert a NNUE file (weights and biases) to emulate an older version? HOT 3
- Butterfly Effect Can Cause The Wrong NNUE Evaluation HOT 7
- Stockfish 15.1 NNUE Eval Blunder Due To The Butterfly Effect
- train.py stops without errors HOT 1
- No .nnue files found HOT 4
- Network Testing Issue HOT 2
- pytorch alphazero? HOT 1
- ftperm.py crashes with 'FenBatchProvider' object has no attribute 'stream'
- Quantization losses in the L1 biases of L1 3072
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from nnue-pytorch.