Comment 13 for bug 1662860

Revision history for this message
smaeda (smaeda) wrote :

I got this, but cleared. The following was successful with my environment; latest CUDA Toolkit 8.0(including nvidia-375) in Ubuntu 16.10.

$ sudo mv /usr/lib/nvidia-375/libEGL.so.1 /usr/lib/nvidia-375/libEGL.so.1.org
$ sudo mv /usr/lib32/nvidia-375/libEGL.so.1 /usr/lib32/nvidia-375/libEGL.so.1.org
$ sudo ln -s /usr/lib/nvidia-375/libEGL.so.1 /usr/lib/nvidia-375/libEGL.so.375.39
$ sudo ln -s /usr/lib32/nvidia-375/libEGL.so.1 /usr/lib32/nvidia-375/libEGL.so.375.39

$ 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 8.0 / 8.0
  CUDA Capability Major/Minor version number: 6.1
  Total amount of global memory: 6070 MBytes (6364463104 bytes)
  (10) Multiprocessors, (128) CUDA Cores/MP: 1280 CUDA Cores
  GPU Max Clock rate: 1709 MHz (1.71 GHz)
  Memory Clock rate: 4004 Mhz
  Memory Bus Width: 192-bit
  L2 Cache Size: 1572864 bytes
  Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
  Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
  Total amount of constant memory: 65536 bytes
  Total amount of shared memory per block: 49152 bytes
  Total number of registers available per block: 65536
  Warp size: 32
  Maximum number of threads per multiprocessor: 2048
  Maximum number of threads per block: 1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
  Maximum memory pitch: 2147483647 bytes
  Texture alignment: 512 bytes
  Concurrent copy and kernel execution: Yes with 2 copy engine(s)
  Run time limit on kernels: Yes
  Integrated GPU sharing Host Memory: No
  Support host page-locked memory mapping: Yes
  Alignment requirement for Surfaces: Yes
  Device has ECC support: Disabled
  Device supports Unified Addressing (UVA): Yes
  Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GTX 1060 6GB
Result = PASS