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PyTorch
Active
Frameworks Latest Version: 2.12.0 Latest Release: May 13, 2026
PyTorch is an open-source deep learning framework. Only the latest minor receives bug fixes and security patches, with no fixed EOL dates for older minors. PyTorch 2.12 requires Python 3.10+ and ships CUDA 12.6 / 13.0 wheels; 2.1-2.8 supported Python 3.8/3.9+ with CUDA 11.8/12.1.
Versions
12
Latest Version
2.12.0
Active Support
1
EOL
11
Lifecycle Timeline
Today ↓
2.12
2.12
2.11
2.11
2.10
2.10
2.9
2.9
2.8
2.8
2.7
2.7
2.6
2.6
2.5
2.5
2.4
2.4
2.3
2.3
Active SupportSecurity SupportEOL
Versions
| Release | Release Date | Active Support | EOL | Latest Version | LTS | Status |
|---|---|---|---|---|---|---|
| 2.12 | May 13, 2026 | Yes | No | 2.12.0 | No | Active |
| 2.11 | Mar 23, 2026 | No | Yes | 2.11.0 | No | EOL |
| 2.10 | Jan 21, 2026 | No | Yes | 2.10.0 | No | EOL |
| 2.9 | Oct 15, 2025 | No | Yes | 2.9.1 | No | EOL |
| 2.8 | Aug 6, 2025 | No | Yes | 2.8.0 | No | EOL |
| 2.7 | Apr 23, 2025 | No | Yes | 2.7.1 | No | EOL |
| 2.6 | Jan 29, 2025 | No | Yes | 2.6.0 | No | EOL |
| 2.5 | Oct 17, 2024 | No | Yes | 2.5.1 | No | EOL |
| 2.4 | Jul 24, 2024 | No | Yes | 2.4.1 | No | EOL |
| 2.3 | Apr 24, 2024 | No | Yes | 2.3.1 | No | EOL |
| 2.2 | Jan 30, 2024 | No | Yes | 2.2.2 | No | EOL |
| 2.1 | Oct 4, 2023 | No | Yes | 2.1.2 | No | EOL |
Frequently Asked Questions
Which versions of PyTorch have reached end of life?
The following PyTorch versions have reached end of life and no longer receive security updates: 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5, 2.4 (and 3 more). It is recommended to upgrade to a supported version.
Is it safe to continue using PyTorch 2.11?
PyTorch 2.11 has reached end of life and no longer receives security patches or bug fixes. Continuing to use it may expose your systems to known vulnerabilities. We strongly recommend upgrading to a supported version.
What is the latest version of PyTorch?
The latest version of PyTorch is 2.12.0, released in the 2.12 release cycle.
How many versions of PyTorch are currently supported?
PyTorch currently has 1 actively supported version(s): 2.12.
When does PyTorch 2.12 reach end of life?
PyTorch 2.12 does not have a specific end-of-life date announced yet.
What should I do when PyTorch reaches end of life?
When a PyTorch version reaches end of life, you should: 1) Plan your migration to a supported version as soon as possible. 2) Review the release notes for breaking changes. 3) Test your applications thoroughly in a staging environment. 4) Update your dependencies to ensure compatibility with the new version.