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https://issues.apache.org/jira/browse/MESOS-9549?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16772405#comment-16772405
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Chun-Hung Hsiao edited comment on MESOS-9549 at 2/19/19 10:56 PM:
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Instead of using the {{maintainer}} label, maybe it is more generic to use
either of the approaches:
# Check for the
[{{NVIDIA_REQUIRE_CUDA}}|https://github.com/NVIDIA/nvidia-container-runtime/blob/master/README.md#nvidia_require_cuda]
environment variable as another workaround.
# Check the
[{{NVIDIA_DRIVER_CAPABILITIES}}|https://github.com/NVIDIA/nvidia-container-runtime/blob/master/README.md#nvidia_require_cuda]
environment variable, as this is the actual controller for the
libnvidia-container CLI, which is used by the nvidia runtime to prepare the
binaries/libraries:
https://github.com/NVIDIA/libnvidia-container/blob/master/src/nvc_info.c
was (Author: chhsia0):
Instead of using the {{maintainer}} label, maybe it is more generic to use
either of the approaches:
# Check for the
[{{NVIDIA_REQUIRE_CUDA}}|https://github.com/NVIDIA/nvidia-container-runtime/blob/master/README.md#nvidia_require_cuda]
environment variable as another workaround.
# Check the
[{{NVIDIA_DRIVER_CAPABILITIES}}|https://github.com/NVIDIA/nvidia-container-runtime/blob/master/README.md#nvidia_require_cuda]
environment variable, is this is the actual controller for the
libnvidia-container CLI, which is used by the nvidia runtime to prepare the
binaries/libraries:
https://github.com/NVIDIA/libnvidia-container/blob/master/src/nvc_info.c
> nvidia/cuda 10 does not work on GPU isolator
> --------------------------------------------
>
> Key: MESOS-9549
> URL: https://issues.apache.org/jira/browse/MESOS-9549
> Project: Mesos
> Issue Type: Bug
> Reporter: Jie Yu
> Priority: Major
>
> I verified that nvidia/cuda 9 (i.e., 9.2-devel-ubuntu18.04) works with GPU
> isolator.
> The unit test
> NvidiaGpuTest.ROOT_INTERNET_CURL_CGROUPS_NVIDIA_GPU_NvidiaDockerImage
> captures this, and is currently failing on GPU hosts since it uses latest
> nvidia/cuda image.
> If fails with
> {format}
> sh: 1: nvidia-smi: not found
> {format}
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