Cuda Support not avaliable for yolov8 on jetson nano?

[AastaLLL]

Hi,

No, the link also tries to install a prebuilt package (pip3 install torch-xxx.whl).
To build it from the source, please find the instructions below:

PyTorch for Jetson

Below are pre-built PyTorch pip wheel installers for Jetson Nano, TX1/TX2, Xavier, and Orin with JetPack 4.2 and newer. Download one of the PyTorch binaries from below for your version of JetPack, and see the installation instructions to run on your Jetson. These pip wheels are built for ARM aarch64 architecture, so run these commands on your Jetson (not on a host PC). You can also use the pre-built l4t-pytorch and l4t-ml container images and Dockerfiles. PyTorch pip wheels JetPack 5

PyTo…

> Build from Source
...
$ python3.8 setup.py bdist_wheel

Thanks