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Getting started with Docker on NVIDIA Jetson Xavier AGX

Installing Docker

By default, the latest version of Docker is shipped with the development platform. You can verify it by running the below command:

xavier@xavier-desktop:~$ sudo docker version
[sudo] password for xavier: 
Client: Docker Engine - Community
 Version:           20.10.8
 API version:       1.41
 Go version:        go1.16.6
 Git commit:        3967b7d
 Built:             Fri Jul 30 19:54:37 2021
 OS/Arch:           linux/arm64
 Context:           default
 Experimental:      true

Server: Docker Engine - Community
 Engine:
  Version:          20.10.8
  API version:      1.41 (minimum version 1.12)
  Go version:       go1.16.6
  Git commit:       75249d8
  Built:            Fri Jul 30 19:52:46 2021
  OS/Arch:          linux/arm64
  Experimental:     false
 containerd:
  Version:          1.4.9
  GitCommit:        e25210fe30a0a703442421b0f60afac609f950a3
 runc:
  Version:          1.0.1
  GitCommit:        v1.0.1-0-g4144b63
 docker-init:
  Version:          0.19.0
  GitCommit:        de40ad0
xavier@xavier-desktop:~$

Identify the Jetson board

Clone the repository

git clone https://github.com/jetsonhacks/jetsonUtilities

Execute the Python Script:

python3 jetsonInfo.py 
NVIDIA Jetson AGX Xavier [16GB]
 L4T 32.3.1 [ JetPack 4.3 ]
   Ubuntu 18.04.3 LTS
   Kernel Version: 4.9.140-tegra
 CUDA NOT_INSTALLED
   CUDA Architecture: 7.2
 OpenCV version: NOT_INSTALLED
   OpenCV Cuda: NO
 CUDNN: NOT_INSTALLED
 TensorRT: NOT_INSTALLED
 Vision Works: NOT_INSTALLED
 VPI: NOT_INSTALLED
 Vulcan: 1.1.70
xavier@xavier-desktop:~/jetsonUtilities$

Installing Jtop

Lucky You! I have created a Docker Image for Jetson Nano few weeks back that you can leverage on Xavier developer kit too. Check this out:

docker run --rm -it --gpus all -v /run/jtop.sock:/run/jtop.sock ajeetraina/jetson-stats-nano jtop

If you want to keep it simple and new to Docker, no worries. Try to install the Python module and you are all good to go.

sudo -H pip install -U jetson-stats
Collecting jetson-stats
  Downloading https://files.pythonhosted.org/packages/70/57/ce1aec95dd442d94c3bd47fcda77d16a3cf55850fa073ce8c3d6d162ae0b/jetson-stats-3.1.1.tar.gz (85kB)
    100% |████████████████████████████████| 92kB 623kB/s 
Building wheels for collected packages: jetson-stats
  Running setup.py bdist_wheel for jetson-stats ... done
  Stored in directory: /root/.cache/pip/wheels/5e/b0/97/f0f8222e76879bf04b6e8c248154e3bb970e0a2aa6d12388f9
Successfully built jetson-stats
Installing collected packages: jetson-stats
Successfully installed jetson-stats-3.1.1
xavier@xavier-desktop:~/jetsonUtilities$

Don’t get surprise if you encounter the below message. Reboot your system and re-run the command:

$jtop
I can't access jetson_stats.service.
Please logout or reboot this board.

image

Using Jtop to see the GPU and CPU details

image

Displaying Xavier Information

image

Displaying the Xavier Release Info

xavier@xavier-desktop:~$ jetson_release -v
 - NVIDIA Jetson AGX Xavier [16GB]
   * Jetpack 4.3 [L4T 32.3.1]
   * NV Power Mode: MODE_15W - Type: 2
   * jetson_stats.service: active
 - Board info:
   * Type: AGX Xavier [16GB]
   * SOC Family: tegra194 - ID:25
   * Module: P2888-0001 - Board: P2822-0000
   * Code Name: galen
   * CUDA GPU architecture (ARCH_BIN): 7.2
   * Serial Number: 1420921055981
 - Libraries:
   * CUDA: NOT_INSTALLED
   * cuDNN: NOT_INSTALLED
   * TensorRT: NOT_INSTALLED
   * Visionworks: NOT_INSTALLED
   * OpenCV: NOT_INSTALLED compiled CUDA: NO
   * VPI: NOT_INSTALLED
   * Vulkan: 1.1.70
 - jetson-stats:
   * Version 3.1.1
   * Works on Python 2.7.17
xavier@xavier-desktop:~$