「KataGo/Linux」:修訂間差異
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第17行: | 第17行: | ||
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cd ~; git clone https://github.com/lightvector/KataGo.git; cd ~/KataGo/cpp; cmake . -DBUILD_MCTS=1 -DUSE_BACKEND=OPENCL -DUSE_TCMALLOC=1; make -j8 | cd ~; git clone https://github.com/lightvector/KataGo.git; cd ~/KataGo/cpp; cmake . -DBUILD_MCTS=1 -DUSE_BACKEND=OPENCL -DUSE_TCMALLOC=1; make -j8 | ||
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然後把KataGo的執行檔丟到[[Lizzie]]目錄下: | |||
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cd ~/KataGo/cpp; cp katago ~/Lizzie | |||
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於 2020年3月7日 (六) 21:03 的修訂
KataGo是一套電腦圍棋軟體。
基本環境
這邊是用AWS上的Ubuntu 18.04,開g4dn.xlarge
測試的。
編譯
先安裝需要的套件:
sudo apt install -y build-essential cmake git libboost-filesystem-dev libgoogle-perftools-dev libzip-dev nvidia-compute-utils-435 nvidia-driver-435 nvidia-headless-435 nvidia-utils-435 ocl-icd-opencl-dev unzip zlib1g-dev
再來編譯:
cd ~; git clone https://github.com/lightvector/KataGo.git; cd ~/KataGo/cpp; cmake . -DBUILD_MCTS=1 -DUSE_BACKEND=OPENCL -DUSE_TCMALLOC=1; make -j8
然後把KataGo的執行檔丟到Lizzie目錄下:
cd ~/KataGo/cpp; cp katago ~/Lizzie
設定
等下會使用Lizzie當作前端,所以這邊會把KataGo的設定檔丟到Lizzie的目錄下:
cd KataGo/cpp; cp configs/gtp_example.cfg ~/Lizzie/
下載最新的訓練資料
這邊會下載目前最強的20 blocks、30 blocks與40 blocks版本到Lizzie的目錄下並且解開:
cd ~/Lizzie/; wget https://d3dndmfyhecmj0.cloudfront.net/g170/neuralnets/g170-b40c256x2-s1349368064-d524332537.zip https://d3dndmfyhecmj0.cloudfront.net/g170/neuralnets/g170-b30c320x2-s1287828224-d525929064.zip https://d3dndmfyhecmj0.cloudfront.net/g170/neuralnets/g170e-b20c256x2-s2430231552-d525879064.zip; echo *.zip | xargs -n1 unzip
測試
先測試Nvidia顯卡有沒有生效(要記得先重開機讓驅動程式生效):
nvidia-smi
接下來可以跑KataGo的測試:
cd ~/KataGo/; ./katago benchmark -model g170-b40c256x2-s1349368064-d524332537/model.bin.gz -config gtp_example.cfg
跑完測試後可以依照建議修改gtp_example.cfg
裡的numSearchThreads
以加快速度。
快速安裝
sudo apt update; sudo apt install -y build-essential cmake default-jdk git icewm libboost-filesystem-dev libgoogle-perftools-dev libzip-dev nvidia-compute-utils-435 nvidia-driver-435 nvidia-headless-435 nvidia-utils-435 ocl-icd-opencl-dev tightvncserver unzip zlib1g-dev; cd /tmp; wget https://github.com/featurecat/lizzie/releases/download/0.7.2/Lizzie.0.7.2.Mac-Linux.zip; cd ~; unzip /tmp/Lizzie.0.7.2.Mac-Linux.zip; git clone https://github.com/lightvector/KataGo.git; cd KataGo/cpp; cmake . -DBUILD_MCTS=1 -DUSE_BACKEND=OPENCL -DUSE_TCMALLOC=1; make -j8; cp katago ~/Lizzie; cp configs/gtp_example.cfg ~/Lizzie; cd ~/Lizzie; wget https://d3dndmfyhecmj0.cloudfront.net/g170/neuralnets/g170-b40c256x2-s1349368064-d524332537.zip https://d3dndmfyhecmj0.cloudfront.net/g170/neuralnets/g170-b30c320x2-s1287828224-d525929064.zip https://d3dndmfyhecmj0.cloudfront.net/g170/neuralnets/g170e-b20c256x2-s2430231552-d525879064.zip; echo *.zip | xargs -n1 unzip; sudo reboot
重開機後連進去再跑:
cd ~/Lizzie; ./katago benchmark -model g170-b40c256x2-s1349368064-d524332537/model.bin.gz -config gtp_example.cfg
相關連結
外部連結
- 官方網站 (英文)