Sayuri
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CGLemon
AlphaZero based engine for the game of Go (圍棋/围棋).
我是Debian11，这是 执行 make 的时候的报错： In file included from /home/suerya/工程/Sayuri/src/pattern/gammas_dict.cc:1: /home/suerya/工程/Sayuri/src/pattern/pattern.h:14:13: error: ‘uint64_t’ in namespace ‘std’ does not name a type 14 | extern std::uint64_t PatternHash[8][4][kMaxPatternArea]; | ^~~~~~~~ In file included...
具体是从这开始报错的： C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\include\cuda_fp16.hpp(1973): error: asm operand type size(8) does not match type/size implied by constraint 'r' asm ("ld.global.nc.b32 %0, [%1];" : "=r"(*(reinterpret_cast(&(ret)))) : "r"(ptr)); ^ C:\Program Files\NVIDIA...
It seems Sayuri (on Windows, anyway) cannot launch if its path contains any spaces. Also, I believe it cannot load weights if the location of the weights contains any spaces.
按照默认的各个参数， $ cp -r bash selfplay-course $ cd selfplay-course $ bash setup.sh -s .. $ bash selfplay.sh 有gpu但是没使用，是哪里需要改设置吗
The description is odd. // CPU-only version $ nvcc main.cc config.cc version.cc game/board.cc game/book.cc game/game_state.cc game/gtp.cc game/iterator.cc game/pattern_board.cc game/sgf.cc game/strings.cc game/symmetry.cc game/zobrist.cc mcts/node.cc mcts/search.cc mcts/time_control.cc neural/description.cc neural/encoder.cc neural/loader.cc neural/network.cc neural/training_data.cc...
I'm curious about the --relative-rank option. What about the -int- range? Is it affected much by the -p(playouts) option? Do you have an example you can refer to?
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.3\include\cuda_fp16.hpp(1906): error: asm operand type size(8) does not match type/size implied by constraint 'r' asm ("ld.global.nc.b32 %0, [%1];" : "=r"(*(reinterpret_cast(&(ret)))) : "r"(ptr)); ^ C:\Program Files\NVIDIA GPU...
Hello, I just tried running sayuri with LizzieYzy. It worked, but it recommended a strange location. Both the analysis and the game are strange. Does that mean sayuri isn't strong...
