Can you confirm the contents of your /etc/nvidia-container-runtime/host-files-for-container.d/cudnn.csv
file?
$ cat /etc/nvidia-container-runtime/host-files-for-container.d/cudnn.csv
lib, /usr/lib/aarch64-linux-gnu/libcudnn.so.8.2.1
sym, /usr/lib/aarch64-linux-gnu/libcudnn.so.8
sym, /usr/lib/aarch64-linux-gnu/libcudnn.so
lib, /usr/lib/aarch64-linux-gnu/libcudnn_ops_infer.so.8.2.1
sym, /usr/lib/aarch64-linux-gnu/libcudnn_ops_infer.so.8
sym, /usr/lib/aarch64-linux-gnu/libcudnn_ops_infer.so
lib, /usr/lib/aarch64-linux-gnu/libcudnn_ops_train.so.8.2.1
sym, /usr/lib/aarch64-linux-gnu/libcudnn_ops_train.so.8
sym, /usr/lib/aarch64-linux-gnu/libcudnn_ops_train.so
lib, /usr/lib/aarch64-linux-gnu/libcudnn_adv_infer.so.8.2.1
sym, /usr/lib/aarch64-linux-gnu/libcudnn_adv_infer.so.8
sym, /usr/lib/aarch64-linux-gnu/libcudnn_adv_infer.so
lib, /usr/lib/aarch64-linux-gnu/libcudnn_cnn_infer.so.8.2.1
sym, /usr/lib/aarch64-linux-gnu/libcudnn_cnn_infer.so.8
sym, /usr/lib/aarch64-linux-gnu/libcudnn_cnn_infer.so
lib, /usr/lib/aarch64-linux-gnu/libcudnn_adv_train.so.8.2.1
sym, /usr/lib/aarch64-linux-gnu/libcudnn_adv_train.so.8
sym, /usr/lib/aarch64-linux-gnu/libcudnn_adv_train.so
lib, /usr/lib/aarch64-linux-gnu/libcudnn_cnn_train.so.8.2.1
sym, /usr/lib/aarch64-linux-gnu/libcudnn_cnn_train.so.8
sym, /usr/include/cudnn_adv_infer.h
sym, /usr/include/cudnn_adv_train.h
sym, /usr/include/cudnn_backend.h
sym, /usr/include/cudnn_cnn_infer.h
sym, /usr/include/cudnn_cnn_train.h
sym, /usr/include/cudnn.h
sym, /usr/include/cudnn_ops_infer.h
sym, /usr/include/cudnn_ops_train.h
sym, /usr/include/cudnn_version.h
lib, /usr/include/aarch64-linux-gnu/cudnn_adv_infer_v8.h
lib, /usr/include/aarch64-linux-gnu/cudnn_adv_train_v8.h
lib, /usr/include/aarch64-linux-gnu/cudnn_backend_v8.h
lib, /usr/include/aarch64-linux-gnu/cudnn_cnn_infer_v8.h
lib, /usr/include/aarch64-linux-gnu/cudnn_cnn_train_v8.h
lib, /usr/include/aarch64-linux-gnu/cudnn_ops_infer_v8.h
lib, /usr/include/aarch64-linux-gnu/cudnn_ops_train_v8.h
lib, /usr/include/aarch64-linux-gnu/cudnn_v8.h
lib, /usr/include/aarch64-linux-gnu/cudnn_version_v8.h
sym, /etc/alternatives/libcudnn
sym, /etc/alternatives/libcudnn_adv_infer_so
sym, /etc/alternatives/libcudnn_adv_train_so
sym, /etc/alternatives/libcudnn_cnn_infer_so
sym, /etc/alternatives/libcudnn_cnn_train_so
sym, /etc/alternatives/libcudnn_ops_infer_so
sym, /etc/alternatives/libcudnn_ops_train_so
sym, /etc/alternatives/libcudnn_so
sym, /etc/alternatives/cudnn_adv_infer_h
sym, /etc/alternatives/cudnn_backend_h
sym, /etc/alternatives/cudnn_cnn_train_h
sym, /etc/alternatives/cudnn_ops_train_h
sym, /etc/alternatives/cudnn_adv_train_h
sym, /etc/alternatives/cudnn_cnn_infer_h
sym, /etc/alternatives/cudnn_ops_infer_h
sym, /etc/alternatives/cudnn_version_h
sym, /usr/lib/aarch64-linux-gnu/libcudnn_cnn_infer_static_v8.a
sym, /usr/lib/aarch64-linux-gnu/libcudnn_cnn_train_static_v8.a
lib, /usr/lib/aarch64-linux-gnu/libcudnn_static_v8.a
lib, /usr/lib/aarch64-linux-gnu/libcudnn_cnn_infer_static.a
lib, /usr/lib/aarch64-linux-gnu/libcudnn_cnn_train_static.a
sym, /usr/lib/aarch64-linux-gnu/libcudnn_static.a
If this issue persists, you may want to backup your work and re-flash the device or SD card rather than spend much time debugging it further. Or you can try re-installing these packages with apt:
libnvidia-container-tools - NVIDIA container runtime library (command-line tools)
libnvidia-container0 - NVIDIA container runtime library
nvidia-container-csv-cuda - Jetpack CUDA CSV file
nvidia-container-csv-cudnn - Jetpack CUDNN CSV file
nvidia-container-csv-tensorrt - Jetpack TensorRT CSV file
nvidia-container-csv-visionworks - Jetpack VisionWorks CSV file
nvidia-container-runtime - NVIDIA container runtime
nvidia-container-toolkit - NVIDIA container runtime hook
nvidia-docker2 - nvidia-docker CLI wrapper
nvidia-container - NVIDIA Container Meta Package
nvidia-container-csv-opencv - Jetpack OpenCV CSV fil