Problem in installing PyTorch (no such option: -m)

Issue Overview

Users are encountering an error while attempting to install PyTorch on the Nvidia Jetson Orin Nano Dev board. The specific error message is "no such option: -m," which occurs when executing the command:

python3 -m pip install --upgrade pip; python3 -m pip install numpy==’1.26.1’ python3 -m pip install --no-cache $TORCH_INSTALL

Symptoms and Context

• Symptoms: The error indicates a problem with the command syntax, specifically related to the use of the -m option in Python.
• Context: This issue arises during the installation process of PyTorch, particularly when users try to execute multiple pip commands in a single line.
• Hardware/Software Specifications: Users are operating on the Jetson Orin Nano with Ubuntu and Python 3.10.
• Frequency: This issue appears to be consistent among users attempting similar installations.
• Impact: The error prevents users from successfully installing PyTorch, hindering their ability to run AI models and applications on the Jetson platform.

Possible Causes

1. Command Syntax Error: The absence of a semicolon (;) between pip commands results in Python misinterpreting the command line, leading to the "no such option" error.

   • Explanation: Each command must be separated correctly; otherwise, Python interprets it as a single invalid command.

2. User Misconfiguration: Users may not be familiar with proper command-line syntax in Linux.

   • Explanation: Lack of experience can lead to incorrect command formatting.

3. Environment Issues: Conflicts with existing Python packages or versions could contribute to installation failures.

   • Explanation: Incompatibilities between installed packages and the desired package version may cause errors.

Troubleshooting Steps, Solutions & Fixes

Step-by-Step Instructions

1. Correct Command Syntax:

   • Modify the original command by ensuring proper separation of commands with semicolons:

     python3 -m pip install --upgrade pip; python3 -m pip install numpy==1.26.1; python3 -m pip install --no-cache $TORCH_INSTALL
     

2. Verify Python Environment:

   • Check that you are using the correct Python version:

     python3 --version
     

3. Upgrade Pip:

   • Ensure that pip is up-to-date:

     python3 -m pip install --upgrade pip
     

4. Install Dependencies Individually:

   • If issues persist, try installing each package one at a time to isolate problems:

     python3 -m pip install numpy==1.26.1
     python3 -m pip install --no-cache $TORCH_INSTALL
     

5. Check for Existing Installations:

   • Verify if any previous installations of packages could be causing conflicts:

     python3 -m pip list
     

6. Consult Documentation:

   • Refer to Nvidia’s official documentation for any specific installation instructions or requirements for PyTorch on Jetson devices.

Recommended Approach

Users have reported success after correcting the command syntax as outlined above, making this a recommended first step in troubleshooting.

Additional Resources

• Nvidia Developer Forums for further support and community advice.
• Official Nvidia documentation on PyTorch installation.

Unresolved Issues

• Some users may still experience difficulties related to environmental factors or specific configurations not covered here, necessitating further investigation into individual setups or additional community support.

By following these structured steps, users should be able to resolve the installation issues related to PyTorch on their Nvidia Jetson Orin Nano Dev board effectively.