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…ce vulnerabilities The following vulnerabilities are fixed by pinning transitive dependencies: - https://snyk.io/vuln/SNYK-PYTHON-TORCH-10332644 - https://snyk.io/vuln/SNYK-PYTHON-TORCH-10332645 - https://snyk.io/vuln/SNYK-PYTHON-WHEEL-15053866
Summary of ChangesHello @alejandrosuarez, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request automates the resolution of three security vulnerabilities detected in the project's Python dependencies. It achieves this by updating the version constraints for Highlights
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Code Review
This pull request from Snyk addresses security vulnerabilities by updating torch and wheel dependencies. The changes are appropriate and improve the security of the project. I have added one comment to correct a misleading comment in requirements.txt to improve maintainability.
| accelerate>=0.16.0 | ||
| torchvision | ||
| datasets | ||
| torch>=2.10.0 # not directly required, pinned by Snyk to avoid a vulnerability |
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The comment states that torch is 'not directly required'. However, the train_unconditional.py script in this same directory directly imports torch (on line 12), making it a direct dependency for this example. To avoid confusion for future developers, the comment should be updated to be more accurate.
torch>=2.10.0 # pinned by Snyk to avoid a vulnerability
Snyk has created this PR to fix 3 vulnerabilities in the pip dependencies of this project.
Snyk changed the following file(s):
examples/unconditional_image_generation/requirements.txtImportant
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