微信开源PhoenixGo：业界领先的人工智能围棋

lu01

阿扬 发表于 2018-5-24 12:13
太牛逼

我这里lz:pg是3：0，用图形界面那盘komi错设成6.5，sgf的信息不对，

lu01

又见征子



貌似白棋可以逃得出去，为什么认输

lxjtt09

跑不了，黑117手可以走在118手得位置。

lxjtt09

凤凰围棋cpu版感觉计算时间太短了，不怎么想就落子。

lxjtt09

这盘leela-elf执黑下得相当精彩。

lu01

lxjtt09 发表于 2018-5-24 13:24
凤凰围棋cpu版感觉计算时间太短了，不怎么想就落子。

默认每步5秒，我改成50秒试试

hred9D

金毛执白速败，黑ELF

hred9D

金毛执白速败，黑里拉521b0868权重

lu01

PhoenixGo gpu版，据说强很多
https://github.com/Tencent/PhoenixGo/releases/tag/win-x64-gpu-v1

lu01

lu01 发表于 2018-5-25 08:07
PhoenixGo gpu版，据说强很多
https://github.com/Tencent/PhoenixGo/releases/tag/win-x64-gpu-v1

很麻烦，还要下载安装nivida的一些驱动
到现在还没好

不过有人把权重转成了leelaz格式 https://github.com/yenw/LeelaZero_PhoenixGo

hred9D

CPU版本的金毛的确太弱，不过没有GPU的电脑还是可以使用，对付对付学棋也不错了

下载GPU版本看看

lu01

权重转成了leelaz格式 https://github.com/yenw/LeelaZero_PhoenixGo 不错，gpu版击败权重144 （http://zero.sjeng.org/networks/9 ... 8434f26e6baff02e.gz），后面又输了一盘











gogui-twogtp.exe -black "D:\tool\valid14\leelaz.exe -g -w D:\tool\valid14\9e88" -white  "D:\tool\lzp\lzgp.exe -g -w D:\tool\lzp\PhoenixGo_v1.txt" -auto -sgffile lz_lzp -komi 7.5 -games 10

# Black: Leela Zero
# BlackCommand: D:\tool\valid14\leelaz.exe -g -w D:\tool\valid14\9e88
# BlackLabel: Leela Zero:0.15
# BlackVersion: 0.15
# Date: May 25, 2018 9:47:18 AM CST
# Host: PC
# Komi: 7.5
# Referee: -
# Size: 19
# White: Leela Zero
# WhiteCommand: D:\tool\lzp\lzgp.exe -g -w D:\tool\lzp\PhoenixGo_v1.txt
# WhiteLabel: Leela Zero:0.14
# WhiteVersion: 0.14
# Xml: 0
#
#GAME    RES_B    RES_W    RES_R    ALT    DUP    LEN    TIME_B    TIME_W    CPU_B    CPU_W    ERR    ERR_MSG
0    W+R    W+R    W+R    0    -    158    1864.8    1747.1    0    0    0   
1    B+R    B+R    B+R    0    -    131    1565    1487.7    0    0    0   
2    B+R    B+R    B+R    0    -    179    1934.8    1966.1    0    0    0   
3    B+R    B+R    B+R    0    -    113    1187.8    1101.8    0    0    0   
4    B+R    B+R    B+R    0    -    91    1111.6    1054.2    0    0    0   

hred9D

转换后的金毛里拉，还是下不赢ELF

lu01

hred9D 发表于 2018-5-25 13:43
转换后的金毛里拉，还是下不赢ELF

我这里对lz144已经1胜4负

lu01

lu01 发表于 2018-5-25 08:07
PhoenixGo gpu版，据说强很多
https://github.com/Tencent/PhoenixGo/releases/tag/win-x64-gpu-v1

下载
https://developer.download.nvidi ... ziaLs4RtpvybutC1TFg
和
https://developer.download.nvidi ... BoVL2yXSqB9VgG6ry7w
然后只要把里面的如下文件复制到bin目录就可以运行了
2017/09/02  21:46        75,222,016 cusolver64_90.dll
2017/12/20  08:00        54,028,288 cublas64_90.dll
2018/05/05  11:17       331,322,880 cudnn64_7.dll
2017/09/02  21:46       131,197,952 cufft64_90.dll
2017/09/02  21:46        48,057,344 curand64_90.dll



D:\tool\pgp>bin\mcts_main.exe --config_path=etc\mcts_1gpu_notensorrt.conf --gtp --log_dir=log --v=1
2018-05-25 16:01:12.800699: I model\zero_model.cc:72] Read checkpoint state succ
2018-05-25 16:01:12.827699: I model\zero_model.cc:80] Read meta graph succ
2018-05-25 16:01:12.828699: I E:\Tensorflow\PhoenixGo\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:140] Your
CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2018-05-25 16:01:13.441699: I E:\Tensorflow\PhoenixGo\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1344]
Found device 0 with properties:
name: GeForce GT 730 major: 3 minor: 5 memoryClockRate(GHz): 0.9015
pciBusID: 0000:01:00.0
totalMemory: 2.00GiB freeMemory: 405.59MiB
2018-05-25 16:01:13.450699: I E:\Tensorflow\PhoenixGo\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1423]
Adding visible gpu devices: 0
2018-05-25 16:01:20.394899: I E:\Tensorflow\PhoenixGo\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:911] D
evice interconnect StreamExecutor with strength 1 edge matrix:
2018-05-25 16:01:20.398899: I E:\Tensorflow\PhoenixGo\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:917]
    0
2018-05-25 16:01:20.414499: I E:\Tensorflow\PhoenixGo\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:930] 0
:   N
2018-05-25 16:01:20.432099: I E:\Tensorflow\PhoenixGo\tensorflow\tensorflow\core\common_runtime\gpu\gpu_device.cc:1041]
Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1024 MB memory) -> physical GPU (device: 0,
name: GeForce GT 730, pci bus id: 0000:01:00.0, compute capability: 3.5)
2018-05-25 16:01:20.474299: I model\zero_model.cc:100] Create session succ
2018-05-25 16:01:20.519299: I model\zero_model.cc:107] Create graph succ
2018-05-25 16:01:21.845699: I model\zero_model.cc:119] Load checkpoint succ
play b c3
1th move(b): cc, winrate=-nan(ind)%, N=0, Q=-nan(ind), p=0.010924, v=-nan(ind), cost 11482.799805ms, sims=64, height=4,
avg_height=2.935897, global_step=639200
=

genmove w
2th move(w): dp, winrate=57.060974%, N=26, Q=0.141220, p=0.177330, v=0.130249, cost 22661.199219ms, sims=144, height=6,
avg_height=3.583851, global_step=639200
= D16

quit
=