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@github-actions github-actions released this 03 Jul 10:38
· 202 commits to master since this release
v4.0.0
f7ff3d1

The main focus of this release was to experiment with a new neural network architecture

In order to allow the training of bigger neural networks, I implemented a new trainer which uses multiple CPU cores
instead of a GPU. There is still room for optimizations, but the iteration time was sufficiently low to experiment
with different neural network architectures and sizes.

Self-play strength increase: ~ 40 Elo / FRC: 100 Elo
(Note: strength increase is probably lower against a range of different opponents)

Changes

  • New trainer to train bigger networks in a reasonable amount of time

  • New neural network architecture

    • Input nodes: 768x24 instead of 768x5
    • Hidden nodes: 2x288 instead of 512

  • Some time management adjustments

Installation

The chess engine is available for Windows and Linux and requires a 64 Bit CPU.
There are optimized executables available for different CPU micro-architecture generations.

If you have a relatively modern CPU (2013+) with AVX2 support, then the ...-x86_64-avx2 executable is highly recommended for best performance.

Executable Description Min. CPU Generation Required Instruction Sets
x86_64-avx2 Recommended for best performance on a modern CPU Intel Haswell / Zen1 AVX2, BMI1
x86_64-sse4-popcnt Lower performance, recommended for CPUs without AVX2 support Intel Nehalem / AMD Bulldozer SSE4.2, SSE3, POPCNT
x86_64-nopopcnt Lowest performance, but compatible with most x86_64 CPUs --- SSE2, CMOV
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