Difference between revisions of "Seer"

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licensed under the [[Free Software Foundation#GPL|GNU GPL]] and first released in October 2020.  
 
licensed under the [[Free Software Foundation#GPL|GNU GPL]] and first released in October 2020.  
 
Seer uses a custom [[NNUE]] implementation based on [[Float|32-bit float]] weights with training code written in [https://en.wikipedia.org/wiki/PyTorch PyTorch] and inference code relying on [https://en.wikipedia.org/wiki/OpenMP OpenMP] [[SIMD and SWAR Techniques|SIMD]] for auto vectorization <ref>[https://github.com/connormcmonigle/seer-nnue GitHub - connormcmonigle/seer-nnue: UCI chess engine using NNUE for position evaluation]</ref>.
 
Seer uses a custom [[NNUE]] implementation based on [[Float|32-bit float]] weights with training code written in [https://en.wikipedia.org/wiki/PyTorch PyTorch] and inference code relying on [https://en.wikipedia.org/wiki/OpenMP OpenMP] [[SIMD and SWAR Techniques|SIMD]] for auto vectorization <ref>[https://github.com/connormcmonigle/seer-nnue GitHub - connormcmonigle/seer-nnue: UCI chess engine using NNUE for position evaluation]</ref>.
Due to [[BMI2#PEXTBitboards|PEXT Bitboards]], Seer requires [[BMI2]] for a reasonable performance, as well as either [[SSE]], [[AVX]], [[AVX2]] or [[AVX-512]] to calculate the NNUE.
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Due to [[BMI2#PEXTBitboards|PEXT Bitboards]], Seer requires [[BMI2]] for a reasonable performance, as well as either [[SSE]], [[AVX]], [[AVX2]] or [[AVX-512]] to calculate the NNUE. More recently, Seer supports [[ARM NEON]] via '''sse2neon''' <ref>[https://github.com/DLTcollab/sse2neon GitHub - DLTcollab/sse2neon: A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation]</ref> to run on many [[Android]] devices  <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=77187&start=32 Re: Seer 2.0.0] by Archimedes, [[CCC]], August 06, 2021</ref>.
  
 
=Features=
 
=Features=
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==2021==
 
==2021==
 
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=77187 Seer 2.0.0] by [[Connor McMonigle]], [[CCC]], April 27, 2021
 
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=77187 Seer 2.0.0] by [[Connor McMonigle]], [[CCC]], April 27, 2021
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: [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=77187&start=32 Re: Seer 2.0.0] by Archimedes, [[CCC]], August 06, 2021 (Seer 2.2.0 for [[Android]])
 
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=77503&start=55 Re: will Tcec allow Stockfish with a Leela net to play?] by [[Connor McMonigle]], [[CCC]], June 17, 2021 » [[NNUE]]
 
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=77503&start=55 Re: will Tcec allow Stockfish with a Leela net to play?] by [[Connor McMonigle]], [[CCC]], June 17, 2021 » [[NNUE]]
  
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[[Category:Windows]]
 
[[Category:Windows]]
 
[[Category:Linux]]
 
[[Category:Linux]]
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[[Category:Android]]
 
[[Category:NNUE]]
 
[[Category:NNUE]]
 
[[Category:Metaphysics]]
 
[[Category:Metaphysics]]
 
[[Category:Music]]
 
[[Category:Music]]

Revision as of 21:29, 6 August 2021

Home * Engines * Seer

Greek Seer [1]

Seer,
an UCI compliant open source chess engine by Connor McMonigle, written in C++, licensed under the GNU GPL and first released in October 2020. Seer uses a custom NNUE implementation based on 32-bit float weights with training code written in PyTorch and inference code relying on OpenMP SIMD for auto vectorization [2]. Due to PEXT Bitboards, Seer requires BMI2 for a reasonable performance, as well as either SSE, AVX, AVX2 or AVX-512 to calculate the NNUE. More recently, Seer supports ARM NEON via sse2neon [3] to run on many Android devices [4].

Features

[5]

Board Representation

Search

Evaluation

See also

Forum Posts

2020

Re: Seer by Connor McMonigle, CCC, November 02, 2020 » Seer 1.1
Re: Seer by Connor McMonigle, CCC, November 18, 2020 » Seer 1.2
Re: Speculations about NNUE development (was New engine releases 2020) by Connor McMonigle, CCC, November 12, 2020

2021

Re: Seer 2.0.0 by Archimedes, CCC, August 06, 2021 (Seer 2.2.0 for Android)

External Links

Chess Engine

Misc

References

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