Lost in guides from different years

[pizzapy]

I’m trying to find the best guide for setting up my AGX Orin using Jetpack 6.1, to use Docker and pytorch, torchvision, and torchaudio. Most guides don’t seem to work on my version. If you’ve been successful, do have notes I might be able to borrow?

Thanks in advance!

p.s. This is my first original topic. I hope it’s in the correct place.

[kayccc]

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!

[pizzapy]

Thanks for the reply! You’re my first reply. I was worried I was shadow banned.

Thanks for the guide. I’m also working on my own step by step that I’ll be posting as soon as I can finally get something working.

[AastaLLL]

Hi,

You can set up docker with the instructions shared below:

🔖 SSD + Docker - NVIDIA Jetson AI Lab

PyTorch, TorchVision, and TorchAudio prebuilt packages for Jetson can be found in the link below:
https://pypi.jetson-ai-lab.dev/jp6/cu126

Thanks.