Okay I tried too many combinations to fit the pieces each other but the Jetpack 4.6.1 is only making everything much harder and complicated. Whatever the new updates are, they are totally against the idea of CONTAINERIZATION.
I had an issue before with the new TensorFlow-TensorRT releases as ı described in this topic 1 year ago: TensorRT 6.0.1 performs worse than TensorRT 5.1.6 on Jetson AGX Xavier. And you explained why newer TensorFlow versions is much slower. Therefore I continued to use it across all JetPacks released since then.
But what we have right now is exactly why there are Docker and containers but I can not even use them because NVDLA -which I have never even intended to use it in my container- got some version upgrades. I just want to be able to use my container with TensorFlow 1.13.1.