Nvidia-docker: Error: unsupported CUDA version: driver 8.0 < image 9.0.176

[meftaul]

The command -
nvidia-docker run --rm nvidia/cuda nvidia-smi
producing this error message -
nvidia-docker | 2017/10/13 08:33:01 Error: unsupported CUDA version: driver 8.0 < image 9.0.176

nvidia-smi output is following

| NVIDIA-SMI 375.66                 Driver Version: 375.66                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce 930MX       Off  | 0000:01:00.0     Off |                  N/A |
| N/A   40C    P8    N/A /  N/A |    243MiB /  2002MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID  Type  Process name                               Usage      |
|=============================================================================|
|    0     10596    G   /usr/lib/xorg/Xorg                             112MiB |
|    0     11359    G   compiz                                          77MiB |
|    0     11989    G   ...el-token=4E07A486F6B731B5D1D3A5EF33B64C3E    54MiB |
+-----------------------------------------------------------------------------+

According to the #177 I should update the driver. But the driver is already updated.
How can solve issue?

[cliffwoolley]

You need at least a 384.xx series driver for CUDA 9. NVIDIA recommends
384.81 or later.

If you're installing from deb packages, note that the package name is
different for nvidia-384 versus nvidia-375 in order that the major driver
version upgrade is intentional rather than automatic.

Best,
Cliff

On Oct 12, 2017 7:50 PM, "Md. Meftaul Haque" [e-mail]
wrote:

The command -
nvidia-docker run --rm nvidia/cuda nvidia-smi
producing this error message -
nvidia-docker | 2017/10/13 08:33:01 Error: unsupported CUDA version:
driver 8.0 < image 9.0.176

nvidia-smi output is following

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 375.66 Driver Version: 375.66 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce 930MX Off | 0000:01:00.0 Off | N/A |
| N/A 40C P8 N/A / N/A | 243MiB / 2002MiB | 0% Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 10596 G /usr/lib/xorg/Xorg 112MiB |
| 0 11359 G compiz 77MiB |
| 0 11989 G ...el-token=4E07A486F6B731B5D1D3A5EF33B64C3E 54MiB |
+-----------------------------------------------------------------------------+

According to the #177 https://github.com/NVIDIA/nvidia-docker/issues/177
I should update the driver. But the driver is already updated.
How can solve issue?

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[flx42]

Thanks @cliffwoolley
Alternatively, you can also use a CUDA 8.0 image and not upgrade your driver:

nvidia-docker run --rm nvidia/cuda:8.0-devel nvidia-smi

[loretoparisi]

@flx42 I get this error when using FROM tensorflow/tensorflow:latest-gpu. Which version of TF should I use to avoid it?