Cross Compiling Instructions

Issue Overview

The discussion revolves around issues encountered while cross-compiling applications for the Nvidia Jetson Orin Nano Dev board using Docker. Users report specific symptoms such as:

  • Errors with Docker Image Names: Users have difficulty launching Docker images that contain a "/" in their names. This issue arises when following instructions for cross-compilation, particularly with the JetPack Cross Compilation container.

  • Empty Workspace Variable: An error message appears when attempting to run a Docker command, indicating an "invalid spec" due to an empty section in the workspace variable ${WORKSPACE}.

The context of these problems occurs during the setup phase while users are trying to run applications like Phi-3-vision via ONNX on the Jetson platform. The frequency of these issues seems to vary, but they are significant enough to hinder the user experience and functionality of the development environment.

Possible Causes

Several potential causes for the reported issues can be identified:

  • Docker Image Naming: The use of "/" in image names may lead to complications in Docker commands, as certain characters can be interpreted incorrectly.

  • Empty Environment Variables: The ${WORKSPACE} variable being empty is likely causing the "invalid spec" error when executing Docker commands. This variable is crucial for defining where the workspace is located on the Jetson device.

  • Configuration Errors: Incorrect setup of Docker or misconfiguration of environment variables may lead to these issues.

  • User Errors: Users may not have set up their environment correctly or might be unfamiliar with how to configure Docker for use with JetPack.

Troubleshooting Steps, Solutions & Fixes

To address the issues reported, follow these comprehensive troubleshooting steps and potential solutions:

  1. Check Docker Image Naming:

    • Avoid using "/" in Docker image names. Instead, use a valid format without special characters.
    • Verify the correct image name by running:
      docker images
      
  2. Set Up Environment Variables:

    • Ensure that the ${WORKSPACE} variable is correctly defined. You can set it by running:
      export WORKSPACE=/path/to/your/workspace
      
    • Verify that the variable is set correctly by echoing it:
      echo $WORKSPACE
      
  3. Run Docker Command with Correct Variables:

    • Use a corrected command structure that ensures all variables are populated:
      docker run -it --privileged --net=host -v /dev/bus/usb:/dev/bus/usb -v ${WORKSPACE}:/workspace nvcr.io/nvidia/jetpack-linux-aarch64-crosscompile-x86:${SW_VERSION}
      
    • If you still encounter errors, check if ${SW_VERSION} is set correctly.
  4. Testing and Isolation:

    • If problems persist, try running a simpler Docker command to isolate whether the issue lies within your specific setup or configuration:
      docker run hello-world
      
    • This will confirm if Docker is functioning correctly on your system.
  5. Refer to Documentation:

    • Consult Nvidia’s official documentation for JetPack and Docker usage to ensure all steps are followed accurately.
  6. Best Practices:

    • Regularly check for updates to JetPack and related components.
    • Maintain a clean environment by removing unused Docker images and containers.
  7. Further Investigation:

    • If issues remain unresolved after following these steps, consider reaching out to Nvidia support or community forums for additional assistance.

These solutions should help mitigate the problems users are experiencing while setting up their development environments on the Nvidia Jetson Orin Nano Dev board.

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