Conda Setup Fails on Jetson Orin Nano Dev Kit

Issue Overview

Users have reported issues when attempting to set up Conda on the Nvidia Jetson Orin Nano 8GB Dev Kit. The primary symptom is a failure during the installation process, specifically when executing transactions related to package installations. The error message indicates a FileNotFoundError, stating that the system cannot locate the Python 3.6 executable, even though Python 3.7 is present in the filesystem. This issue arises during the setup phase after following the installation instructions provided for Jetson Nano, which may not be fully compatible with the Orin Nano’s default configurations.

The context of the issue is during the initial setup of Conda, where users are trying to install specific packages, including Python and libraries necessary for their projects. The problem appears to be consistent among users who attempt to follow outdated instructions intended for earlier Jetson models, leading to confusion regarding the correct versions of Python and other dependencies required for the Orin Nano.

Possible Causes

1. Hardware Incompatibilities: The Jetson Orin Nano may have different hardware specifications compared to earlier models, which could lead to compatibility issues with software designed for those models.

2. Software Bugs or Conflicts: There may be unresolved bugs in the Conda installation process or conflicts with existing software packages that prevent successful installation.

3. Configuration Errors: Users may be using installation commands that reference incorrect or outdated package versions (e.g., Python 3.6 instead of 3.8).

4. Driver Issues: Incompatibilities with drivers required for certain packages might lead to failures during installation.

5. Environmental Factors: Issues such as insufficient power supply or overheating could affect performance and lead to installation failures.

6. User Errors or Misconfigurations: Incorrect paths or commands in the setup process can lead to errors during installation.

Troubleshooting Steps, Solutions & Fixes

1. Verify Installation Path:

   • Ensure that the installation path specified in your commands is correct and accessible.
   • Use:

     echo $HOME/archiconda3
     

2. Update Python Version:

   • Modify your Conda installation command to use Python 3.8, which is compatible with JetPack 5:

     conda install -y python=3.8.10 libiconv
     

3. Check Conda Installation:

   • If you encounter command not found errors, verify that Conda is properly installed and included in your PATH:

     export PATH=$HOME/archiconda3/bin:$PATH
     

4. Use Correct Channels:

   • Ensure that you are adding the correct channels for package installations:

     conda config --add channels conda-forge
     conda config --add channels gaiar
     

5. Install Specific Package Versions:

   • If certain packages are not found, check available versions using:

     conda search python
     

   • Install a specific version if necessary.

6. Check for Package Availability:

   • If you receive PackagesNotFoundError, verify that you are using channels that support your architecture (aarch64):

     conda config --show channels
     

7. Consult Documentation:

   • Refer to Nvidia’s official documentation for any updates regarding compatible software versions and setup instructions specific to Jetson Orin Nano.

8. Community Resources:

   • Engage with community forums or resources where other users have shared their successful configurations or solutions.

9. Reinstall Conda:

   • If issues persist, consider reinstalling Conda from scratch following updated instructions specifically tailored for Jetson Orin Nano.

10. Log Errors for Support:

    • If problems continue after trying these steps, log your errors and seek help on Nvidia forums by providing detailed information about your setup and error messages.

By following these troubleshooting steps and solutions, users can effectively address issues encountered during the Conda setup on the Nvidia Jetson Orin Nano Dev Kit and enhance their development experience on this platform.