使用nvidia-ctk runtime configure 命令配置 Docker 或其他容器运行时以使用 NVIDIA 容器运行时。 内核或系统更新导致的问题: 有时系统或内核更新可能会破坏现有的 NVIDIA 驱动配置。在这种情况下,重新安装或更新 NVIDIA 驱动可能有助于解决问题。 示例配置步骤 以下是一个配置 Docker 以使用 NVIDIA 容器运行时的示例步骤:
container_linux.go:265: starting container process caused "process_linux.go:368: container init caused \"process_linux.go:351: running p restart hook 1 caused \\\"error running hook: exit status 1, stdout: , stderr: exec command: [/usr/bin/nvidia-container-cli --load-kmods configure -...
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This change adds a --no-cntlibs option to the configure and info commands of the nvidia-container-cli. This allows the no-cntlibs option to be set via the commandline. If this option is set, the CUDA compat libraries are not mounted into the container but are still available to the us...
[/usr/local/bin/nvidia-container-cli --load-kmods configure --ldconfig=@/sbin/ldconfig --device=1 --compute --utility --require=cuda>=10.1 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411 --pid=58077 /var/lib/docker/overlay2/fab...
[/usr/bin/nvidia-container-cli --load-kmods --debug=/var/log/nvidia-container-runtime-hook.log configure --ldconfig=@/sbin/ldconfig.real --device=all --compute --utility --require=cuda>=8.0 --pid=5801 /var/lib/docker/aufs/mnt/1b3b6a154308bda7863a5438b68f68d3c0827cb20f67cb2394a2563de...
[/usr/bin/nvidia-container-cli --load-kmods --debug=/var/log/nvidia-container-runtime-hook.log configure --ldconfig=@/sbin/ldconfig --device=all --compute --utility --require=cuda>=8.0 --pid=9136 /var/lib/docker/overlay2/d1c8b3a27912444f7fe7b78424d5fcf700daac6cbc1cdecbf71abec300...