Converting on jetson nano

[ArgoHA]

I can not use conversion on Jetson Nano with this guide. The problem is that TensorFlow container doesn't start:

docker: Error response from daemon: failed to create shim: OCI runtime create failed: container_linux.go:380: starting container process caused: process_linux.go:545: container init caused: Running hook #0:: error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: mount error: mount operation failed: /usr/src/tensorrt: no such file or directory: unknown.
ERRO[0004] error waiting for container: context canceled 

Here are my steps: sudo docker pull nvcr.io/nvidia/tensorflow:22.07-tf2-py3 sudo docker run -it --gpus all -v /home/argo/trash_det/:/trash_det nvcr.io/nvidia/tensorflow:22.07-tf2-py3

Could you share how should I do a conversion on Jetson Nano if docker doesn't works and without docker coda version doesn't match with available TensorFlow version on jetpack 4.6.1?