I followed the web instruction Software Setup - Jetson Xavier - RACECAR/Xthat explains how to move docker folder to ssd. Everything went smooth and I tested with docker Hello World and it worked as well. However, when I downloaded nvidia tensorflow container and ran it it gave me error. I would appreciate if someone can help. Thank you.
dragan@dragan-desktop:~$ sudo docker run -it --rm --runtime nvidia --network host nvcr.io/nvidia/l4t-tensorflow:r32.4.4-tf2.3-py3
docker: Error response from daemon: OCI runtime create failed: container_linux.go:349: starting container process caused “process_linux.go:449: container init caused “process_linux.go:432: running prestart hook 0 caused \“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 --compat32 --graphics --utility --video --display --pid=23175 /xavier_ssd/home/dragan/docker/overlay2/966a2684ed283da28a5ec67bc7648c7a590533efabef3537cf194ebd1af6a5b8/merged]\\nnvidia-container-cli: mount error: file creation failed: /xavier_ssd/home/dragan/docker/overlay2/966a2684ed283da28a5ec67bc7648c7a590533efabef3537cf194ebd1af6a5b8/merged/usr/lib/aarch64-linux-gnu/libnvidia-fatbinaryloader.so.440.18: file exists\\n\”””: unknown.
dragan@dragan-desktop:~ sudo service docker start dragan@dragan-desktop:~ sudo docker run hello-world
Hello from Docker!
This message shows that your installation appears to be working correctly.
To generate this message, Docker took the following steps:
- The Docker client contacted the Docker daemon.
- The Docker daemon pulled the “hello-world” image from the Docker Hub.
- The Docker daemon created a new container from that image which runs the
executable that produces the output you are currently reading.
- The Docker daemon streamed that output to the Docker client, which sent it
to your terminal.
To try something more ambitious, you can run an Ubuntu container with:
$ docker run -it ubuntu bash
Share images, automate workflows, and more with a free Docker ID:
For more examples and ideas, visit:
Orientation and setup | Docker Documentation