opelly/Stockfish
1
0
Fork 0
mirror of https://github.com/opelly27/Stockfish.git synced 2026-05-20 09:47:46 +00:00
Code Issues Packages Projects Releases Wiki Activity

Fix typos in comments, adjust readme

Browse Source 
closes https://github.com/official-stockfish/Stockfish/pull/3822

also adjusts readme as requested in https://github.com/official-stockfish/Stockfish/pull/3816

No functional change
This commit is contained in:
Michael Ortmann
2021-11-30 21:01:34 +01:00
committed by Joost VandeVondele
parent 64f21ecdae
commit 4b86ef8c4f
6 changed files with 20 additions and 16 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+6 -2
View File
@@ -175,8 +175,12 @@ on the evaluations of millions of positions at moderate search depth.
The NNUE evaluation was first introduced in shogi, and ported to Stockfish afterward.
It can be evaluated efficiently on CPUs, and exploits the fact that only parts
of the neural network need to be updated after a typical chess move.
[The nodchip repository](https://github.com/nodchip/Stockfish) provides additional
tools to train and develop the NNUE networks. On CPUs supporting modern vector instructions
[The nodchip repository](https://github.com/nodchip/Stockfish) provided the first version of
the needed tools to train and develop the NNUE networks. Today, more advanced training tools are available
in [the nnue-pytorch repository](https://github.com/glinscott/nnue-pytorch/), while data generation tools
are available in [a dedicated branch](https://github.com/official-stockfish/Stockfish/tree/tools).
On CPUs supporting modern vector instructions
(avx2 and similar), the NNUE evaluation results in much stronger playing strength, even
if the nodes per second computed by the engine is somewhat lower (roughly 80% of nps
is typical).