Why does my torchvision==0.20.0 can't work,after my jetson agx orin installed jetpack6.1,my virtual environment is virtualenv

[1057374326]

RuntimeError: We should not register a meta kernel directly to the operator ‘torchvision::roi_align’, because it has a CompositeImplicitAutograd kernel in core. Instead we should let the operator decompose, and ensure that we have meta kernels for the base ops that it decomposes into.

[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!

[AastaLLL]

Hi,

You will need to use the packages that are built for JetPack 6.1 instead.

http://jetson.webredirect.org/jp6/cu126

Thanks.