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nvidia-docker script does't work on daemon mode? #13

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jas0n1ee opened this issue Nov 19, 2015 · 2 comments
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nvidia-docker script does't work on daemon mode? #13

jas0n1ee opened this issue Nov 19, 2015 · 2 comments
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@jas0n1ee
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I tried ./nvidia-docker/nvidia-docker run deviceQuery and it works fine:

./deviceQuery Starting...

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

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 970"
  CUDA Driver Version / Runtime Version          7.5 / 7.5
  CUDA Capability Major/Minor version number:    5.2
  Total amount of global memory:                 4082 MBytes (4279894016 bytes)
  (13) Multiprocessors, (128) CUDA Cores/MP:     1664 CUDA Cores
  GPU Max Clock rate:                            1367 MHz (1.37 GHz)
  Memory Clock rate:                             3505 Mhz
  Memory Bus Width:                              256-bit
  L2 Cache Size:                                 1835008 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
  Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 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 / 3 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.5, CUDA Runtime Version = 7.5, NumDevs = 1, Device0 = GeForce GTX 970
Result = PASS

but when I tried to use sudo ./nvidia-docker/nvidia-docker -H 0.0.0.0:2375 -d to create a docker daemon and use docker API to create container and run, it failed and gave this error:

./deviceQuery Starting...

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

cudaGetDeviceCount returned 35
-> CUDA driver version is insufficient for CUDA runtime version
Result = FAIL
@3XX0
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3XX0 commented Nov 20, 2015

nvidia-docker won't work remotely. We are working on a Docker plugin which should enable that (see #8)

@jas0n1ee
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Thx! 👍

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