Fixing No Matching Distribution Found For Torchvision Error During LeRobot Installation

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Introduction

When installing LeRobot, users sometimes encounter a frustrating error: "No matching distribution found for torchvision>=0.21.0." This error typically arises during the installation process when using the command pip install -e ".[feetech]". This comprehensive guide delves into the root causes of this issue and provides effective solutions to resolve it, ensuring a smooth installation process for LeRobot. We will explore various aspects, including system configurations, Python versions, and compatibility issues, to help you overcome this hurdle. Understanding the underlying problems and implementing the suggested solutions will enable you to successfully install and utilize LeRobot for your robotics projects.

Understanding the Issue: No Matching Distribution for Torchvision

The error message "No matching distribution found for torchvision>=0.21.0" indicates that the pip package installer cannot locate a version of the torchvision library that meets the specified requirement (version 0.21.0 or higher). This problem can occur due to several reasons, which we will explore in detail:

  • Python Version Incompatibility: Torchvision versions have specific Python version requirements. If your Python version is not compatible with torchvision 0.21.0 or later, pip will fail to find a suitable distribution.
  • Incompatible PyTorch Version: Torchvision is closely linked to PyTorch. An outdated or incompatible PyTorch installation can prevent torchvision from installing correctly.
  • Package Index Issues: Sometimes, pip may not be able to access the correct package index or encounter network issues, leading to the failure to find the required package.
  • Operating System Compatibility: Certain torchvision versions might have specific operating system dependencies, which could cause installation failures if not met.

Analyzing the User's Reported Issue

The user reported encountering this error while trying to install LeRobot on a macOS Sequoia 15.5 system with a MacBook Pro 2020 (Intel). Their setup includes:

  • Operating System: macOS Sequoia 15.5
  • Hardware: MacBook Pro 2020 (Intel)
  • Conda: 25.5.1
  • Python: 3.10.18
  • Pip: 25.1.1

The user attempted to install LeRobot using the command pip install -e ".[feetech]", which triggered the error related to torchvision.

Key Observations

  1. Python Version: The user is using Python 3.10.18, which should generally be compatible with recent versions of torchvision. However, it’s crucial to verify the exact compatibility range.
  2. Error Message: The error message explicitly states that no version of torchvision >= 0.21.0 could be found, with the available versions listed ranging from 0.12.0 to 0.17.2. This suggests a potential issue with the package index or compatibility constraints.
  3. Installation Method: The user is using pip install -e ".[feetech]", which installs LeRobot in editable mode with the feetech extras. This method should work if all dependencies are correctly resolved.

Troubleshooting Steps and Solutions

To resolve the “No matching distribution found” error, follow these steps:

1. Verify PyTorch Installation

Torchvision is a companion library to PyTorch, so ensuring PyTorch is correctly installed and compatible is crucial. First, check if PyTorch is installed:

python -c "import torch; print(torch.__version__)"

If PyTorch is not installed or the version is outdated, install or update it. Visit the PyTorch website to get the appropriate installation command based on your system configuration (macOS, CPU/GPU).

For example, if you have a CPU-only setup, you can install PyTorch using:

conda install pytorch torchvision torchaudio -c pytorch

If you have a GPU, ensure you select the correct CUDA version during installation.

2. Check Python and Torchvision Compatibility

Different versions of torchvision support different Python versions. Verify that torchvision 0.21.0 or later is compatible with Python 3.10. You can usually find this information in the torchvision documentation or release notes. As of the latest updates, torchvision 0.21.0 should be compatible with Python 3.10, but it's always good to double-check.

3. Update Pip and Setuptools

An outdated pip or setuptools can sometimes cause issues with package installation. Update them to the latest versions using:

pip install --upgrade pip setuptools

4. Use the Correct Pip Command

Ensure you are using the pip that is associated with your Conda environment. If you're using Conda, activate your environment first:

conda activate lerobot

Then, use pip to install the package:

pip install -e ".[feetech]"

5. Check Package Index

Sometimes, pip may not be able to access the correct package index. Ensure that the default PyPI (Python Package Index) is accessible. If you are using a custom index, make sure it is correctly configured.

You can also try specifying the index explicitly using the --index-url option:

pip install -e ".[feetech]" --index-url https://pypi.org/simple

6. Resolve Conflicts and Dependencies

Conflicting dependencies can prevent torchvision from installing correctly. Check for any conflicting packages and try resolving them. You can use pip to list installed packages:

pip list

If you find any conflicting packages, try uninstalling them before reinstalling LeRobot.

7. Create a New Conda Environment

In some cases, the easiest solution is to create a fresh Conda environment to avoid any potential conflicts with existing packages:

conda create -n lerobot python=3.10
conda activate lerobot
conda install pytorch torchvision torchaudio -c pytorch
pip install -e ".[feetech]"

This ensures a clean environment with the necessary dependencies.

8. Check for Operating System Specific Issues

Since the user is on macOS, there might be specific issues related to the operating system. Ensure that all system dependencies are met. Sometimes, installing Xcode command-line tools or updating macOS can resolve underlying issues.

9. Downgrading Torchvision (Use as a Last Resort)

While the user mentioned that downgrading torchvision is not ideal, it can be a temporary workaround. However, ensure that the downgraded version is compatible with LeRobot and other dependencies. Check the LeRobot documentation for any specific version requirements.

To downgrade torchvision:

pip install torchvision==0.17.0 # Or any other compatible version

10. Consult LeRobot Documentation and Community

Refer to the official LeRobot documentation and community forums for any specific installation instructions or known issues. Often, other users may have encountered similar problems and found solutions.

Applying the Solutions to the User's Case

Based on the user's reported system information and the error message, here’s a tailored approach to resolving their issue:

  1. Verify PyTorch Installation:

    • Run python -c "import torch; print(torch.__version__)" to check PyTorch.
    • If PyTorch is missing or outdated, install it using conda install pytorch torchvision torchaudio -c pytorch.

  2. Update Pip and Setuptools:

    • Execute pip install --upgrade pip setuptools to ensure the package installers are up-to-date.

  3. Reinstall LeRobot in a New Conda Environment:

    • This is the most recommended approach to avoid conflicts. Create a new environment:

      conda create -n lerobot python=3.10
conda activate lerobot
conda install pytorch torchvision torchaudio -c pytorch
pip install -e ".[feetech]"

  4. Check Package Index (If the Above Fails):

    • Use the --index-url option:

      pip install -e ".[feetech]" --index-url https://pypi.org/simple

  5. Consult LeRobot Documentation:

    • Check for any specific instructions or known issues related to macOS.

Conclusion

The “No matching distribution found for torchvision>=0.21.0” error can be a significant roadblock during LeRobot installation. By systematically troubleshooting and applying the solutions outlined in this guide, you can overcome this issue. Ensuring compatibility between Python, PyTorch, and torchvision versions, updating package installers, and creating a clean Conda environment are key steps to a successful installation. Remember to consult the LeRobot documentation and community for additional support and specific instructions related to your setup. With the right approach, you can resolve this error and proceed with your robotics projects using LeRobot. By methodically addressing these potential issues, you'll be well-equipped to tackle this installation challenge and get LeRobot up and running smoothly. This will not only save you time and frustration but also deepen your understanding of package management and dependency resolution in Python environments. This knowledge will prove invaluable in future projects and installations.

By following these detailed steps, you should be able to resolve the torchvision installation issue and successfully set up LeRobot on your system. Remember to adapt the solutions based on your specific system configuration and any additional error messages you encounter.