Installing onnxsim on Nvidia Jetson Orin Nano

Issue Overview

Users are encountering issues while attempting to install the onnxsim package on the Nvidia Jetson Orin Nano. The error occurs during the conversion of a .pt file to an .engine file using Ultralytics, indicating that the required version of onnxsim is not found.

• Symptoms: Users receive the error message:

  • “requirements: Ultralytics requirement [‘onnxsim>=0.4.17’] not found, attempting AutoUpdate…”
  • Subsequent attempts to install onnxsim result in errors such as “subprocess-exited-with-error.”

• Context: The issue arises when users are trying to convert model files as part of their workflow with TensorRT and Ultralytics.

• Hardware/Software Specifications:

  • Device: Nvidia Jetson Orin Nano
  • CUDA Version: 11.4
  • Python Version: 3.8
  • L4T Version: 35.3.1

• Frequency: This issue appears to be consistent among users attempting to set up their environments for model conversion.

• Impact on User Experience: The inability to install necessary packages like onnxsim can hinder users’ ability to optimize their models for deployment, affecting overall productivity and project timelines.

Possible Causes

Several factors may contribute to the installation issue with onnxsim:

• Outdated pip Version: An outdated version of pip may prevent successful installation of packages or dependencies.

• Missing Dependencies: The installation of onnxsim may require other dependencies (like CMake) that are not installed or not updated.

• Compatibility Issues: There may be compatibility issues between the versions of CUDA, Python, and the specific version of onnxsim being installed.

• Network Issues: If there are connectivity problems during installation, it could lead to failed attempts to download required packages.

Troubleshooting Steps, Solutions & Fixes

To resolve issues related to installing onnxsim on the Nvidia Jetson Orin Nano, follow these steps:

1. Upgrade pip:

   • Ensure that pip is updated to the latest version:

     python3 -m pip install --upgrade pip
     

2. Install CMake:

   • Install or update CMake, which is required for building some packages:

     sudo apt-get install cmake
     

3. Install onnxsim:

   • Attempt to install onnxsim again using the following command:

     pip3 install onnxsim --user
     

4. Check Installation Logs:

   • Monitor the output during installation for any errors or warnings that might indicate what is going wrong.

5. Verify Package Versions:

   • Check if your installed versions of TensorRT and Ultralytics are compatible with the version of onnxsim you are trying to install.

6. Test with a Different Environment:

   • If issues persist, consider creating a virtual environment and attempting the installation there:

     python3 -m venv myenv
     source myenv/bin/activate
     pip install onnxsim --user
     

7. Consult Documentation and Community Resources:

   • Refer to Nvidia’s documentation for any specific instructions regarding package installations.
   • Engage with community forums for additional insights from users who may have faced similar issues.

8. Unresolved Aspects:

   • Users may still need clarification regarding specific dependencies required for successful installation.
   • Further investigation into potential compatibility issues between different software components may be necessary if standard troubleshooting does not resolve the problem.

By following these steps, users should be able to troubleshoot and successfully install onnxsim on their Nvidia Jetson Orin Nano devices for use in their projects.