Skip to content

Instantly share code, notes, and snippets.

@ggoretkin-bdai

ggoretkin-bdai/Jetson-l4t-question.md

Created February 8, 2023 15:34
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save ggoretkin-bdai/ed6cdb4fcb60f26841983f8ba472c652 to your computer and use it in GitHub Desktop.
Save ggoretkin-bdai/ed6cdb4fcb60f26841983f8ba472c652 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
Jetson-l4t-question.md

On my Jetson Xavier NX board, I do

$ cat /etc/nv_tegra_release 
# R32 (release), REVISION: 7.2, GCID: 30192233, BOARD: t186ref, EABI: aarch64, DATE: Sun Apr 17 09:53:50 UTC 2022

If I've understood correctly, that means that I should build docker images off e.g.l4t-pytorch:r32.7.2, but I only see JetPack 4.6.1 (L4T R32.7.1) here.

That's probably stemming from the fact that there is no R32.7.2 in https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-base/tags

I believe the Dockerfiles for those l4t-base images are here: https://gitlab.com/nvidia/container-images/l4t-base/-/blob/master/Dockerfile.l4t_r32

Ultimately, I'd like to use an image like dustynv/ros:humble-pytorch-l4t-r35.1.0 (from https://github.com/dusty-nv/jetson-containers). What goes wrong if I run an r35/r34 image on a Jetson with r32 installed?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment