Problem starting a Docker container with GPU enabled

Autonomous Machines Jetson & Embedded Systems Jetson AGX Xavier
1

Running a docker container by enabling GPU results in the following error.

sudo docker run --gpus=all nvcr.io/nvidia/tensorflow:21.10-tf2-py3
docker: Error response from daemon: failed to create shim: OCI runtime create failed: container_linux.go:380: starting container process caused: process_linux.go:545: container init caused: Running hook #0:: error running hook: exit status 1, stdout: , stderr: exec command: [/usr/bin/nvidia-container-cli --load-kmods configure --ldconfig=@/sbin/ldconfig.real --device=all --compute --utility --video --require=cuda>=9.0 --pid=2920 /var/lib/docker/overlay2/cb79d89c0973f5e24a94669be961bddc531f14163ae635db2b7cc4ed35a661ce/merged]
nvidia-container-cli: mount error: file creation failed: /var/lib/docker/overlay2/cb79d89c0973f5e24a94669be961bddc531f14163ae635db2b7cc4ed35a661ce/merged/usr/lib/aarch64-linux-gnu/libcudnn_static_v8.a: file exists: unknown.
ERRO[0000] error waiting for container: context canceled

3

Hi,

This is a desktop version container.
For Jetson, please use l4t-tensorflow instead.

Thanks.

4

Thank you. But the problem is not just this container specific. Starting any docker container with gpu enabled gives this error.

5

Hi,

Could you try the below command?

$ sudo docker run -it --rm --runtime nvidia --network host nvcr.io/nvidia/l4t-tensorflow:r32.6.1-tf1.15-py3

Since Jetson is a custom Linux system (linux4tegra), you will need to use the container that supports the l4t environment.

Thanks.

7

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