Скачать или смотреть Solving the Windows Crashing Issue When Installing PyTorch via Pip

Are you facing crashes while trying to install PyTorch on Windows? Discover practical solutions to solve your installation headaches!
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Troubleshooting Windows Crashes During PyTorch Installation

Are you running into frustrating issues with your Windows computer crashing every time you try to install PyTorch through pip? You’re not alone! Many users encounter this problem, especially when dealing with installations that seem to hang or freeze. In this guide, we’ll explore the common causes of this issue and provide a clear, structured solution to help you successfully install PyTorch without any hiccups.

The Problem at a Glance

When attempting to install PyTorch via pip, your computer may freeze, requiring multiple restarts. This can be particularly perplexing, especially when the installation seemingly hangs on messages like "Looking up in the cache." It’s essential to address these issues effectively to ensure a smooth installation process.

Understanding the Cause of the Problem

Based on user reports and troubleshooting experiences, this problem often arises from pip attempting to load pre-downloaded files that may have become corrupted or may not have been fully installed in the first attempt. Specifically, if there are permission issues (like the need for --user), it can result in an unsuccessful installation, leading to your system crashing.

Recommended Solution

Fortunately, there’s a straightforward solution that can help you bypass this problem. We can modify the pip command to avoid using cached files, which often cause these installation issues.

Step-by-Step Solution

Modify Your Install Command:
To effectively bypass this problem, you can add the flag --no-cache-dir to your pip command. This forces pip to ignore cached files and download everything anew.

Specify User Installation (if needed):
If you encounter user privilege issues, you might also need to add the --user flag to the command, which installs the package for the current user rather than system-wide.

Final Command:
Here’s the transformation of your command to make it work properly:

From:

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To:

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Additional Considerations

Python Version Compatibility: Ensure your version of Python (in this case, Python 3.8.6, 64-bit) is compatible with the PyTorch version you’re trying to install.

Keep Your System Updated: Regularly check for updates for your operating system and Python, as these can help prevent installation issues in the future.

Conclusion

Installing PyTorch on Windows can come with its challenges, but with the right adjustments, you can overcome these obstacles and get back to your machine learning projects. By using the --no-cache-dir and --user flags in your pip command, you can successfully avoid crashes and achieve a smooth installation process.

If you continue to experience problems, consider checking compatibility issues, permissions, and even seeking help from the PyTorch community. Don’t let installation troubles hinder your learning and development journey!