Run CUDA8-cuDNN6-TensorRT2.1 on L4T 28.2.1

Robotics & Edge Computing Jetson & Embedded Systems Jetson TX2
1

Our application was developed on Jetpack 3.1 using CUDA 8.0, cuDNN 6 and TensorRT 2.1. Now, we upgraded to the latest L4T in Jetpack 3.3 and installed CUDA 8.0 cuDNN 6 and TensorRT 2.1 (using Jetpack 3.1 installer). The application started to crash, with error message: “cuda error 4, unspecified launch error”. What’s weird is that, occasionally, it can run fine.

We also tried installing CUDA 9.0, cuDNN 7 and TensorRT 4 using Jetpack 3.3 alongside with CUDA 8. We also pointed /usr/local/cuda to /usr/local/cuda-8.0. The error still persisted (maybe less often).

Given the docker support in L4T in 3.3, we also tried to run our application in a container. From arm64v8, we installed CUDA8 cuDNN6 and TensorRT 2.1 using deb files. Mount tegra (/usr/lib/aarch64-linux-gnu/tegra and /usr/lib/aarch64-linux-gnu/tegra-egl) and gpu devices (using -v). However, we still gets cuda error 4.

Any thoughts on why this is happening?

2

Hi,

It won’t work.

It’s required to use same JetPack installer for OS image and CUDA package.
There are some dependency in GPU driver (contained in OS) and CUDA tool-kit.
If mix-using them, kernel will go crash due to incompatibility.

Suppose you want to keep the environment in rel28.1 but upgrade TensorRT.
There is a standalone package for JetPack 3.1:
https://developer.nvidia.com/nvidia-tensorrt3rc-download

Please noticed that this is a RC version of TensorRT 3.0.
If you want a newer TensorRT version, please upgrade your environment to rel-28.2.1 for JetPack3.3.

Thanks.