I just learned that the Jetson Nano is now “End-of-Life” on March 2022. So that’s why there are so many compatibility issues when installing TensorFlow or other packages.
Despite this, I still want to use the Nano for my project.
What can I do to help push the compatibility a little further? Like is it okay to upgrade to Ubuntu22.04, like in this article? Is it okay to force upgrade Python? And is it okay to install packages from the Jetson Orin or Jetson Xavier?
The main reason is that TensorFlow depends on many third-party libraries.
These libraries (e.g. NumPy) might update their version and break the compatibility.
To ensure compatibility, you might clone your system image and reflash Nano with that image to make sure all the dependencies are aligned.
If you want to move to a new version, either Python or a package, the compatibility issue might occur.
JetPack 5 for Orin/Xavier doesn’t support Nano, unfortunately, you cannot install them on Jetson Nano.