I have been building a docker container on my Jetson Nano and have been using the container as a work around to run ubunutu 16.04. This way I can implement a project that highly depends on packages that are only compatible with 16.04. I have been executing the docker container using a community built version of the wrapper script that allows the container to utilize the GPU like nvidia-docker but for arm64 architecture.
This project depends on basically all of the packages that are included in jetpack 3.2 and that includes things like CUDA 9.0, cuDNN 7.1, and TensorRT 4.0. With the help of these forums I was able to successfully build CUDA 9.0 and cuDNN using a arm64 .deb file inside of the container. I was NOT able to find any similar .deb file for TensorRT 4.0 however.
That was a huge bummer because that is the only thing standing between me and a fully functioning autonomous drone. Very frustrating that nvidia does not provide a library for the arm64 versions of CUDA, cuDNN or TensorRT. They only provide it for x86_64 and aarch64 I believe which is pretty much useless for anyone trying to work directly from a jetson device. More arm64 libraries would be much appreciated.
Does anyone know how I might be able to find a work around to install TensorRT 4.0 inside of my docker container? I would be very appreciative of any help anyone can offer.