JetPack container failes to run

Robotics & Edge Computing Jetson & Embedded Systems Jetson Nano
1

I’m using Duckiebot with Jetson Nano 4Gb, which uses modified version of Jetson Nano Developer Kit SD Card Image. I’m trying to run JetPack container with this command:

docker run --runtime nvidia nvcr.io/nvidia/l4t-jetpack:r36.3.0

But I receive an error:

docker: Error response from daemon: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #1: 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=7772 /var/lib/docker/overlay2/77daf6c914b2e877f3012550d0c8b9f9de7dc0d57ac3364b09552dfa8d33661c/merged]
nvidia-container-cli: mount error: file creation failed: /var/lib/docker/overlay2/77daf6c914b2e877f3012550d0c8b9f9de7dc0d57ac3364b09552dfa8d33661c/merged/usr/lib/aarch64-linux-gnu/libcudnn_adv_infer_static_v8.a: file exists: unknown.
ERRO[0006] error waiting for container: context canceled

On pure SD card image container runs normally. So I assume the problem is with modifications of SD card image. So I asked the question on Duckietown’ Stack, but maybe here somebody knows how to fix it?

3

Hi,

The container you used is for the JetPack 6 environment (r36.3.0).
Unfortunately, the l4t-jetpack container only supports JetPack 5 and 6 users.

Thanks.

4

So? What am I doing wrong? Should I use older versions? And what if I need new version with Ubuntu 22.04?

5

Hi,

l4t-jetpack doesn’t support Jetson Nano.
It is only available for the devices (ex. Xavier or Orin) that can use JetPack 5 or newer.

Thanks.

6

OK, and which containers can I use then instead of l4t-jetpack? I need some environment for cuda, torch, gstreamer and deepstream

7

Hi,

For PyTorch, please try nvcr.io/nvidia/l4t-pytorch:r32.7.1-pth1.10-py3:

For Deeppstream, please try nvcr.io/nvidia/deepstream-l4t:6.0.1-*

Thanks.

9

This topic was automatically closed 14 days after the last reply. New replies are no longer allowed.