I made packages for Raspberry Pi OS (Buster) for a training course in January:
http://mathinf.com/pytorch/arm64/2021-01/ 53
The also contain a somewhat dubious fix to use NNPack for convolutions with batch size one because falling back to THNN convolutions is painfully slow / memory-intensive.
I also have a very recent whl for the Jetson (with CUDA) but didn’t push it to the server yet.
Given that the checkouts are relatively fresh and I needed the additional patch, I didn’t build the 1.8 from the release yet.
Best regards
Thomas