But if you just need to run some common computer vision models on Jetson Nano using NVIDIA’s Jetson Inference which supports image recognition, object detection, semantic segmentation, and pose estimation models, then this is the easiest way.
References
Torch-TensorRT, a compiler for PyTorch via TensorRT:
https://github.com/NVIDIA/Torch-TensorRT/
Jetson Inference docker image details:
https://github.com/dusty-nv/jetson-inference/blob/master/docs/aux-docker.md
A guide to using TensorRT on the NVIDIA Jetson Nano:
https://docs.donkeycar.com/guide/robot_sbc/tensorrt_jetson_nano/ 
including:

Use Jetson as a portable GPU device to run an NN chess engine model:
