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tensorflow gpu test cuda
2019/02/27 14:44:32瀏覽75|回應0|推薦0
cd /usr/local/cuda-10.0/samples/1_Utilities/deviceQuery/

gpugcat@gpugcat:/usr/local/cuda-10.0/samples/1_Utilities/deviceQuery$ ls
deviceQuery.cpp  Makefile  NsightEclipse.xml  readme.txt

gpugcat@gpugcat:/usr/local/cuda-10.0/samples/1_Utilities/deviceQuery$ sudo make

gpugcat@gpugcat:/usr/local/cuda-10.0/samples/1_Utilities/deviceQuery$ ls
deviceQuery      deviceQuery.o  NsightEclipse.xml
deviceQuery.cpp  Makefile       readme.txt

gpugcat@gpugcat:/usr/local/cuda-10.0/samples/1_Utilities/deviceQuery$ ./deviceQuery
./deviceQuery Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 1060 6GB"
  CUDA Driver Version / Runtime Version          10.0 / 10.0
  CUDA Capability Major/Minor version number:    6.1
  Total amount of global memory:                 6077 MBytes (6372196352 bytes)
  (10) Multiprocessors, (128) CUDA Cores/MP:     1280 CUDA Cores
...
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 10.0, CUDA Runtime Version = 10.0, NumDevs = 1
Result = PASS
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