How to Operate After Using the Root File System Built by Docker on Nvidia Jetson Orin Nano Dev Board

Issue Overview

Users are experiencing difficulties operating the Nvidia Jetson Orin Nano Dev board after creating a root file system using Docker. The main symptoms include confusion about the next steps after building the root file system and challenges in flashing the root file system onto the development board. The issue arises specifically during the process of setting up the board with a custom root file system built in a Docker environment, as opposed to using native Jetson tools.

The context of the problem involves using Ubuntu 20.04 as the host operating system and Jetson Linux version 36.3 GA. Users have followed a tutorial that includes installing Docker and running commands within a Docker container to build the root file system. However, there seems to be a lack of clarity on how to proceed from this point, leading to inconsistent user experiences and frustration.

Possible Causes

• Documentation Misalignment: The tutorial may not adequately cover using Docker for building the root file system, leading users to misunderstand the intended workflow.

• Configuration Errors: Users might not be configuring their Docker environment correctly or may overlook necessary steps for customization.

• Driver Issues: If drivers are not properly set up after flashing, it could lead to operational failures.

• User Errors: Misunderstanding of commands or failing to follow through with subsequent steps may result in improper setup.

• Environmental Factors: Issues such as insufficient power supply or overheating could affect performance during operation.

Troubleshooting Steps, Solutions & Fixes

1. Verify Docker Installation:

   • Ensure that Docker is correctly installed and running on your host machine.
   • Command to check Docker status:

     sudo systemctl status docker
     

2. Rebuild Root File System:

   • Follow these steps to ensure proper setup:

     sudo apt-get install docker.io
     sudo docker run --privileged -it --rm -v <your_L4T_root>/Linux_for_Tegra:/l4t ubuntu:22.04
     

   • Inside the container:

     apt-get update
     apt-get install -y qemu-user-static wget sudo bzip2
     cd /l4t/tools/samplefs
     sudo ./nv_build_samplefs.sh --abi aarch64 --distro ubuntu --flavor minimal --version jammy
     

3. Flashing the Device:

   • After building your root file system, flash it onto your Jetson device using the following command (ensure you follow the official NVIDIA documentation):

     https://docs.nvidia.com/jetson/archives/r36.3/DeveloperGuide/IN/QuickStart.html#to-flash-the-jetson-developer-kit-operating-software
     

4. Customization:

   • If you need specific configurations, ensure you modify the root file system as required before flashing.

5. Testing Different Configurations:

   • If issues persist, try testing with different base images or configurations within Docker.
   • Consider using a native Ubuntu installation instead of Docker if compatibility issues arise.

6. Driver and Firmware Updates:

   • Check for any available updates for drivers or firmware that may resolve underlying issues.

7. Consult Documentation:

   • Refer to NVIDIA’s official documentation for guidance on building and flashing root file systems.

8. Community Support:

   • Engage with community forums for additional insights or similar experiences from other users.

9. Best Practices:

   • Always back up existing configurations before making changes.
   • Document each step taken during setup for easier troubleshooting in case of future issues.

If multiple users reported success with a particular solution, such as rebuilding the root file system directly on a native environment instead of Docker, it should be highlighted as a recommended approach.

Unresolved Aspects

• Further clarification is needed regarding specific commands or configurations that may be unique to individual use cases.
• Additional troubleshooting steps may be required based on user feedback and experiences that are not fully addressed in existing documentation.