Lc0
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Lc0
Nibbler - Leela Chess Zero (Lc0) interface
https://github.com/fohristiwhirl/nibbler
https://github.com/fohristiwhirl/nibbler/releases
https://github.com/fohristiwhirl/nibbler
https://github.com/fohristiwhirl/nibbler/releases
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- Founder
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Lc0
Lc0 v0.23.0-rc1
▪Support for Fischer Random Chess ( UCI_Chess960 option to enable FRC-style castling). Also added support for FRC-compatible weight files, but no training code yet.
▪New option --logit-q (UCI: LogitQ ). Changes subtree selection algorithm a bit, possibly making it stronger (experimental, default off).
▪Lc0 now reports WDL score. To enable it, use --wdl- info command line argument or UCI_WdlInfo UCI option.
▪Added "Badgame split" mode during the training. After the engine makes inferior move due to temperature, the game is branched and later the game is replayed from the position of the branch.
▪Added experimental --short-sightedness (UCI: ShortSightedness ) parameter. Treats longer variations as more "drawish".
▪Lc0 can now open Fat Fritz weight files.
▪Time management code refactoring. No functional changes, but will make time management changes easier.
▪Lc0 logo is now printed in red! \o/
▪Command line argument -v is now short for -- verbose-move-stats .
▪Errors in --backend-opts parameter syntax are now reported.
▪The most basic version of "certainty propagation" feature (actually without "propagation"). If the engine sees checkmate, it plays it! (before it could play other good move).
▪Various small changes: hidden options to control Dirichlet noise, floating point optimizations, Better error reporting if there is exception in worker thread, better error messages in CUDA backend.
DOWNLOAD HERE
▪Support for Fischer Random Chess ( UCI_Chess960 option to enable FRC-style castling). Also added support for FRC-compatible weight files, but no training code yet.
▪New option --logit-q (UCI: LogitQ ). Changes subtree selection algorithm a bit, possibly making it stronger (experimental, default off).
▪Lc0 now reports WDL score. To enable it, use --wdl- info command line argument or UCI_WdlInfo UCI option.
▪Added "Badgame split" mode during the training. After the engine makes inferior move due to temperature, the game is branched and later the game is replayed from the position of the branch.
▪Added experimental --short-sightedness (UCI: ShortSightedness ) parameter. Treats longer variations as more "drawish".
▪Lc0 can now open Fat Fritz weight files.
▪Time management code refactoring. No functional changes, but will make time management changes easier.
▪Lc0 logo is now printed in red! \o/
▪Command line argument -v is now short for -- verbose-move-stats .
▪Errors in --backend-opts parameter syntax are now reported.
▪The most basic version of "certainty propagation" feature (actually without "propagation"). If the engine sees checkmate, it plays it! (before it could play other good move).
▪Various small changes: hidden options to control Dirichlet noise, floating point optimizations, Better error reporting if there is exception in worker thread, better error messages in CUDA backend.
DOWNLOAD HERE
You're Welcome
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Lc0
Lc0 v0.23.0-rc2
▪Fixes in nps and time reporting during search.
▪Introduced DNNL BLAS build for modern CPUs in addition to OpenBLAS.
▪Build fixes on MacOS without OpenCL.
▪Fixed smart pruning and KLDGain trying to stop search in go infinite mode.
▪OpenCL package now has check_opencl tool to find computation behaves sanely.
▪Fixed a bug in interoperation of shortsighteness and certainty propagation.
DOWNLOAD HERE
▪Fixes in nps and time reporting during search.
▪Introduced DNNL BLAS build for modern CPUs in addition to OpenBLAS.
▪Build fixes on MacOS without OpenCL.
▪Fixed smart pruning and KLDGain trying to stop search in go infinite mode.
▪OpenCL package now has check_opencl tool to find computation behaves sanely.
▪Fixed a bug in interoperation of shortsighteness and certainty propagation.
DOWNLOAD HERE
You're Welcome
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Lc0
Lc0 v0.23.0
▪Fixed the order of BLAS options so that Eigen is lower priority, to match assumption in check_opencl patch introduced in v0.23.0-rc2.
(no other changes since rc2)
DOWNLOAD HERE
▪Fixed the order of BLAS options so that Eigen is lower priority, to match assumption in check_opencl patch introduced in v0.23.0-rc2.
(no other changes since rc2)
DOWNLOAD HERE
You're Welcome
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Lc0
Hello everyone
Brand New lc0 v0.23.1
https://github.com/LeelaChessZero/lc0/releases
Have fun
Greetings from Brazil.
Brand New lc0 v0.23.1
https://github.com/LeelaChessZero/lc0/releases
Have fun
Greetings from Brazil.
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- I've been banned!
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Lc0
why do lc0 play badly endgame?Lc0 plays good opening and middlegame but it isnt good about endgame
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Lc0
Some speed/price comparison for different GPUs:
Network 20 х 256
RTX2080ti 37000 $1100
RTX2080 Super 32000 $700
RTX2080 29500 $600
RTX2070 Super 28000 $500
RTX2070 24500 $400
RTX2060 Super 22500 $400
RTX2060 18500 $320
GTX1080ti 9000 $450
GTX1660ti 8500 $260
GTX1660 Super 7700 $230
GTX1650 Super ???? $160
GTX1650 3800 $150
GTX1060 3000 $170
GTX1050ti 2500 $150
GTX1050 1700 $150
Network 20 х 256
RTX2080ti 37000 $1100
RTX2080 Super 32000 $700
RTX2080 29500 $600
RTX2070 Super 28000 $500
RTX2070 24500 $400
RTX2060 Super 22500 $400
RTX2060 18500 $320
GTX1080ti 9000 $450
GTX1660ti 8500 $260
GTX1660 Super 7700 $230
GTX1650 Super ???? $160
GTX1650 3800 $150
GTX1060 3000 $170
GTX1050ti 2500 $150
GTX1050 1700 $150
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Lc0
I tested Lc0 cuda rtx 1050 network J13b.2-188 with cpu 4 2048 memory vs BrainLearn 6.0 many draw
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Lc0
Lc0 v0.23.2
▪Fixed a bug where odd length openings had reversed training data results in selfplay.
▪Fixed a bug where zero length training games could be generated due to discard pile containing positions that were already considered end of game.
▪Add cudnn-auto backend.
DOWNLOAD HERE
▪Fixed a bug where odd length openings had reversed training data results in selfplay.
▪Fixed a bug where zero length training games could be generated due to discard pile containing positions that were already considered end of game.
▪Add cudnn-auto backend.
DOWNLOAD HERE
You're Welcome
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Lc0
nibbler v1.1.3
Option to show WDL (win draw loss) stats in the infobox. Requires Lc0 0.23 and recent Leela nets.
https://github.com/fohristiwhirl/nibbler/releases/tag/v1.1.3
Option to show WDL (win draw loss) stats in the infobox. Requires Lc0 0.23 and recent Leela nets.
https://github.com/fohristiwhirl/nibbler/releases/tag/v1.1.3