Ana Guerrero
19269acea7
- Update to 18:
Next-Generation Evaluation:
* This release introduces the SFNNv10 network architecture. The network’s input
layer has been augmented with 'Threat Inputs' features as part of a massive
community effort. These features allow the engine to 'see' which pieces are
threatened more naturally, resulting in more accurate evaluations.
Hardware and Performance Optimizations:
* A key highlight is the new 'Shared Memory' implementation, which allows
different Stockfish processes to share the same memory space for neural
network weights. This makes it the most efficient version for cloud
analysis and high-concurrency testing.
* Significant efforts have also been made to utilize hardware more
effectively by adapting the code to make use of modern CPU instructions and
refining how threads interact during a search.
Search Improvements:
* Stockfish 18 features a heavily refined search, utilizing 'Correction
History' to dynamically adjust evaluations based on patterns found during
the search itself. These and other refinements allow the engine to detect
stalemates and evaluate fortresses significantly better than previous
versions. A particularly rare issue, involving threefold repetition
detection, en passant, and pins, was also fixed.
Refactored Training Workflow:
* The training of Stockfish's neural networks has transitioned to an
automated and reproducible model. This new framework allows the project to
employ standardized recipes to chain complex training stages together. This
transition facilitates the training of networks using over 100 billion
positions of Lc0 evaluation data.
- Update stockfish-remove-net.patch
OBS-URL: https://build.opensuse.org/request/show/1330298
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/stockfish?expand=0&rev=17
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27 lines
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## Default LFS
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*.txz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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## Specific LFS patterns
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nn-37f18f62d772.nnue filter=lfs diff=lfs merge=lfs -text
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nn-c288c895ea92.nnue filter=lfs diff=lfs merge=lfs -text
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