( 8) Multiprocessors, (192) CUDA Cores/MP: 1536 CUDA Cores Total amount of global memory: 4036 MBytes (4232052736 bytes)
deviceQueryĬUDA Device Query (Runtime API) version (CUDART static linking)ĬUDA Driver Version / Runtime Version 8.0 / 7.0ĬUDA Capability Major/Minor version number: 3.0 :~/NVIDIA_CUDA-7.0_Samples/1_Utilities/deviceQuery$. Reboot your machine and check if the kernel has been updated by: If you go to thisĭownload the appropriate files based on the type of OS you have. At the time of this writing, the latest stable release Ubuntu maintains a website for all the versions of kernel that haveīeen released. | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. I tensorflow/stream_executor/dso_:135] successfully opened CUDA library libcurand.so.7.5 locally
I tensorflow/stream_executor/dso_:135] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_:135] successfully opened CUDA library libcufft.so.7.5 locally I tensorflow/stream_executor/dso_:135] successfully opened CUDA library libcudnn.so.5 locally I tensorflow/stream_executor/dso_:135] successfully opened CUDA library libcublas.so.7.5 locally Object? -> Details about 'object', use 'object?' for extra details. ? -> Introduction and overview of IPython's features. IPython 4.1.2 - An enhanced Interactive Python. Type "copyright", "credits" or "license" for more information.
$Sudo nvidia-smi -q | head`enter code here` 现在,请编辑/etc/modprobe.d/nf文件以将黑名单列入黑名单。在编辑器中打开文件,并在文件末尾插入以下行。īlacklist nouveau blacklist lbm-nouveau options nouveau modeset = 0 alias nouveau off alias lbm-nouveau off Subsystem: NVIDIA Corporation Device 1014Ġ0:1f.0 Unassigned class : XenSource, Inc. X.org: 1.15.1 driver: N/A tty size: 80x24 Advanced Data: N/A out of XĠ0:02.0 VGA compatible controller: Cirrus Logic Gd 5446 :/usr/lib/nvidia-375/bin$ lspci | grep -i nvidiaĠ0:03.0 VGA compatible controller: NVIDIA Corporation GK104GL (rev a1) Ii nvidia-settings 375.26-0ubuntu1 AMD64 Tool for configuring the NVIDIA graphics driver Ii nvidia-prime 0.6.2.1 AMD64 Tools to enable NVIDIA's Prime Ii nvidia-opencl-icd-352 375.26-0ubuntu1 AMD64 Transitional package for nvidia-opencl-icd-375 Ii nvidia-opencl-icd-346 352.63-0ubuntu0.14.04.1 AMD64 Transitional package for nvidia-opencl-icd-352 Ii nvidia-modprobe 375.26-0ubuntu1 AMD64 Load the NVIDIA kernel driver and create device files Ii nvidia-375-dev 375.39-0ubuntu0.14.04.1 AMD64 NVIDIA binary Xorg driver development files
Ii nvidia-352 375.26-0ubuntu1 AMD64 Transitional package for nvidia-375 Ii nvidia-346-uvm 346.96-0ubuntu0.0.1 AMD64 Transitional package for nvidia-346 Ii nvidia-346-dev 346.46-0ubuntu1 AMD64 NVIDIA binary Xorg driver development files :/usr/lib/nvidia-375/bin$ dpkg -l | grep nvidia Make sure that the latest NVIDIA driver is installed and running. NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Nvidia-cuda-mps-control nvidia-persistenced Nvidia-bug-report.sh nvidia-debugdump nvidia-xconfig