There are many TX2s used in the project. If each TX2 uses SDKmanger to refresh the system and cuda, it will take a lot of time.
So try to refresh a TX2 system(Jetpack4.4.0) by using SDKmanger, and then get the dynamic libraries of CUDA and TensorRT. Other TX2 directly use the dynamic libraries of CUDA and TensorRT, but errors occur: "Cuda initialization failure with error 35. Please check cuda installation: http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html."
Cuda dynamic library obtained by SDKmanger(Ubuntu18.04.04), not be used in TX2 native system(Ubuntu18.04.02)?
Are there other ways to deploy TX2 system software environment in batches?