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question about the win64 gpu v1 #36

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l1t1 opened this issue May 25, 2018 · 1 comment
Closed

question about the win64 gpu v1 #36

l1t1 opened this issue May 25, 2018 · 1 comment

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@l1t1
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l1t1 commented May 25, 2018

I copied the dll missing from the exe and zip file download from nivida site into bin directory

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

then run following command. it shows some worning, is it ok?

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
=
@wodesuck
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It looks fine.

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