I can’t install RAPIDS (cuML and related libraries) using pip following
Installation Guide - RAPIDS Docs.
I have tried all recent RAPIDS version from 23.04 to 23.10 and all produce the same error.
The error is:
My sys info is:
Python 3.8 and 3.9 both exist (Since Ubuntu builds on Python 3.8, I didn’t uninstall 3.8 but point default/sys Python version to 3.9 to satisfy RAPIDS prerequisites)
Much appreciated if someone can give a help.
Please check the below topic for info:
I’m wondering if anyone, or if someone
@nvidia can share the complete steps for building CuDF and Cuspatial on any of the Jetson Devices.
I have tried to install these libraries many times, without any luck.
There are no guides available that actually work, i have tried the following guides/repos/gists. They do not work in 2022, on the latest l4t.
Any help, or pointers to get these libraries installed would be much appreciated.
Thanks for the reply. However, the post has been outdated since RAPIDS have had a major release (2023.7) to support jetson now. Is there any other possible solution?
@yuxin.xuan RAPIDS isn’t officially supported on Jetson and can be tricky to build. I have some container images built for cuDF and cuML at GitHub - dusty-nv/jetson-containers: Machine Learning Containers for NVIDIA Jetson and JetPack-L4T , but they are using some older versions that work on JetPack 5. I should be able to update them to newer versions when JetPack 6 comes out.