Simon Krenger

NVIDIA provides the Linux4Tegra (L4T) distribution as an image for use with the NVIDIA Jetson Nano. However, once you upgrade the whole system, strange problems will pop up, one of which I have described here: NVIDIA Docker “permission denied: unknown.” on Jetson Nano.

When applying a popular solution described here by adding a new repository to your L4T installation, this will result in interesting error messages such as the following when trying to run L4T-ML containers:

docker run  --rm --runtime nvidia -it nvcr.io/nvidia/l4t-ml:r32.7.1-py3 python3 -c "import torch"

[..]
libcurand.so.10: cannot open shared object file: No such file or directory

I recently bought an NVIDIA Jetson Nano Developer Kit to fiddle around with things like MicroShift or TensorFlow. The board is typically used with L4T (Linux for Tegra) based on Ubuntu 18.04. Fedora can also be installed, although not all drivers (for example for the GPU) are available yet. So after properly updating the system with the latest packages, when starting a container using the nvidia runtime, I got the following error:

docker run -it --rm --runtime nvidia --network host nvcr.io/nvidia/l4t-ml:r32.6.1-py3
[..]
docker: Error response from daemon: failed to create shim: OCI runtime create failed: container_linux.go:380: starting container process caused: error adding seccomp filter rule for syscall clone3: permission denied: unknown.