Docker run error with stderr: nvidia-container-cli

I have error when install AsillaSDK Client Package for Nvidia Jetson devices as below:
nvr-g2@vsm:~$ sudo docker run -it --name asilla_sdk_client --restart=always --runtime=nvidia --net=host -p 8090-8091:8090-8091 -p 5000:5000 --privileged -v /etc/nv_tegra_release:/etc/nv_tegra_release -v /sys/firmware:/sys/firmware asilla/sdk_client_nx:v1.2_cuda-10.2 /workspace/autostart.sh
WARNING: Published ports are discarded when using host network mode
docker: Error response from daemon: OCI runtime create failed: container_linux.go:380: starting container process caused: process_linux.go:545: container init caused: Running hook #0:: error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: initialization error: driver error: failed to process request: unknown.
ERRO[0000] error waiting for container: context canceled

Docker and nvidia package info:
nvr-g2@vsm:~$ sudo docker info
[sudo] password for nvr-g2:
Client:
Context: default
Debug Mode: false
Plugins:
app: Docker App (Docker Inc., v0.9.1-beta3)
buildx: Build with BuildKit (Docker Inc., v0.6.1-docker)

Server:
Containers: 1
Running: 0
Paused: 0
Stopped: 1
Images: 2
Server Version: 20.10.8
Storage Driver: overlay2
Backing Filesystem: extfs
Supports d_type: true
Native Overlay Diff: true
userxattr: false
Logging Driver: json-file
Cgroup Driver: cgroupfs
Cgroup Version: 1
Plugins:
Volume: local
Network: bridge host ipvlan macvlan null overlay
Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog
Swarm: inactive
Runtimes: io.containerd.runc.v2 io.containerd.runtime.v1.linux nvidia runc
Default Runtime: runc
Init Binary: docker-init
containerd version: e25210fe30a0a703442421b0f60afac609f950a3
runc version: v1.0.1-0-g4144b63
init version: de40ad0
Security Options:
seccomp
Profile: default
Kernel Version: 4.9.140-tegra
Operating System: Ubuntu 18.04.5 LTS
OSType: linux
Architecture: aarch64
CPUs: 6
Total Memory: 7.589GiB
Name: vsm
ID: PJRP:HFGX:H4LE:XUP7:NK4U:6KV7:PNT3:6ZLA:2HTD:KE4N:42FD:QGWS
Docker Root Dir: /mnt/NVR-G2/docker
Debug Mode: false
Registry: https://index.docker.io/v1/
Labels:
Experimental: false
Insecure Registries:
127.0.0.0/8
Live Restore Enabled: false

nvr-g2@vsm:~$ sudo dpkg-query -l | grep nvidia
ii libnvidia-container-tools 1.5.0~rc.2-1 arm64 NVIDIA container runtime library (command-line tools)
ii libnvidia-container0:arm64 0.9.0~beta.1 arm64 NVIDIA container runtime library
ii libnvidia-container1:arm64 1.5.0~rc.2-1 arm64 NVIDIA container runtime library
ii nvidia-container-csv-cuda 10.2.89-1 arm64 Jetpack CUDA CSV file
ii nvidia-container-csv-cudnn 8.0.0.180-1+cuda10.2 arm64 Jetpack CUDNN CSV file
ii nvidia-container-csv-tensorrt 7.1.3.0-1+cuda10.2 arm64 Jetpack TensorRT CSV file
ii nvidia-container-csv-visionworks 1.6.0.501 arm64 Jetpack VisionWorks CSV file
ii nvidia-container-runtime 3.5.0-1 arm64 NVIDIA container runtime
ii nvidia-container-toolkit 1.5.1-1 arm64 NVIDIA container runtime hook
ii nvidia-docker2 2.6.0-1 all nvidia-docker CLI wrapper
ii nvidia-l4t-3d-core 32.4.4-20201027211332 arm64 NVIDIA GL EGL Package
ii nvidia-l4t-apt-source 32.4.4-20201016123640 arm64 NVIDIA L4T apt source list debian package
ii nvidia-l4t-bootloader 32.4.4-20201027211332 arm64 NVIDIA Bootloader Package
ii nvidia-l4t-camera 32.4.4-20201027211332 arm64 NVIDIA Camera Package
ii nvidia-l4t-configs 32.4.4-20201016123640 arm64 NVIDIA configs debian package
ii nvidia-l4t-core 32.4.4-20201016123640 arm64 NVIDIA Core Package
ii nvidia-l4t-cuda 32.4.4-20201027211332 arm64 NVIDIA CUDA Package
ii nvidia-l4t-firmware 32.4.4-20201027211332 arm64 NVIDIA Firmware Package
ii nvidia-l4t-graphics-demos 32.4.4-20201027211332 arm64 NVIDIA graphics demo applications
ii nvidia-l4t-gstreamer 32.4.4-20201016123640 arm64 NVIDIA GST Application files
ii nvidia-l4t-init 32.4.4-20201027211332 arm64 NVIDIA Init debian package
ii nvidia-l4t-initrd 32.4.4-20201016123640 arm64 NVIDIA initrd debian package
ii nvidia-l4t-jetson-io 32.4.4-20201016123640 arm64 NVIDIA Jetson.IO debian package
ii nvidia-l4t-jetson-multimedia-api 32.4.4-20201027211332 arm64 NVIDIA Jetson Multimedia API is a collection of lower-level APIs that support flexible application development.
ii nvidia-l4t-kernel 4.9.140-tegra-32.4.4-20201027211332 arm64 NVIDIA Kernel Package
ii nvidia-l4t-kernel-dtbs 4.9.140-tegra-32.4.4-20201027211332 arm64 NVIDIA Kernel DTB Package
ii nvidia-l4t-kernel-headers 4.9.140-tegra-32.4.4-20201027211332 arm64 NVIDIA Linux Tegra Kernel Headers Package
ii nvidia-l4t-multimedia 32.4.4-20201027211332 arm64 NVIDIA Multimedia Package
ii nvidia-l4t-multimedia-utils 32.4.4-20201027211332 arm64 NVIDIA Multimedia Package
ii nvidia-l4t-oem-config 32.4.4-20201016123640 arm64 NVIDIA OEM-Config Package
ii nvidia-l4t-tools 32.4.4-20201027211332 arm64 NVIDIA Public Test Tools Package
ii nvidia-l4t-wayland 32.4.4-20201027211332 arm64 NVIDIA Wayland Package
ii nvidia-l4t-weston 32.4.4-20201027211332 arm64 NVIDIA Weston Package
ii nvidia-l4t-x11 32.4.4-20201027211332 arm64 NVIDIA X11 Package
ii nvidia-l4t-xusb-firmware 32.4.4-20201016123640 arm64 NVIDIA USB Firmware Package

Could you please guide me for troubleshoot this issue?

Thank you

Docker working normally after downgrade nvidia packge version. So, I would like to close this topic.
Thanks

Thanks for the update.
Good to know it works now.