CAN not working for Jetson Orin Nano for Jetpack 6.1

[aghanta3]

I have installed Jetpack 6.1+b123 on my Jetson Orin Nano. However, it looks like CAN is not working on the device. I am able to perform a Loopback test as specified in CAN Network Tutorial, but beyond that I am unable to interact with real devices.

I have also setup the pinmux registers as per the instructions specified in the above link, and I have loaded the kernel drivers specified in the instructions.

I did notice that the following command cat /proc/device-tree/mttcan\@c310000/status returns an error “No such file or directory”.

I have followed the same setup process as I did for versions of Jetpack 5.x.x.x, and am unable to get the CAN network working. I would appreciate any help here.

[carolyuu]

Hi,
Here are some suggestions for the common issues:

1. Performance

Please run the below command before benchmarking deep learning use case:

$ sudo nvpmodel -m 0
$ sudo jetson_clocks

2. Installation

Installation guide of deep learning frameworks on Jetson:

• TensorFlow: Installing TensorFlow for Jetson Platform - NVIDIA Docs
• PyTorch: Installing PyTorch for Jetson Platform - NVIDIA Docs
  We also have containers that have frameworks preinstalled:
  Data Science, Machine Learning, AI, HPC Containers | NVIDIA NGC

3. Tutorial

Startup deep learning tutorial:

• Jetson-inference: Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson
• TensorRT sample: Jetson/L4T/TRT Customized Example - eLinux.org

4. Report issue

If these suggestions don’t help and you want to report an issue to us, please attach the model, command/step, and the customized app (if any) with us to reproduce locally.

Thanks!

[aghanta3]

The commands you have provided run properly on my Jetson, but they do not fix my problem.

[aghanta3]

I solved my problems, I think my devmem was set incorrectly.