PyTorch 2.13 with CUDA 13.2

For PyTorch 2.13 with CUDA 13.2, pytorch release is 2.13; cuda build is CUDA 13.2; python versions is >=3.10, <=(3.15, 3.15t experimental); cudnn version is 9.20.0.48; gpu architectures compiled in, linux wheel is Turing(7.5), Ampere(8.0, 8.6), Hopper(9.0), Blackwell(10.0, 12.0+PTX), recorded from its source on 2026-09-16.

Values marked our reading are our classification of what the source says — the source does not print them in those words. The quote below is the evidence for each one; judge it yourself.

What the source says

| 2.13 | >=3.10, <=(3.15, 3.15t experimental) | C++20 | CUDA 12.6 (CUDNN 9.10.2.21) (NCCL 2.29.3), CUDA 13.0 (CUDNN 9.20.0.48) (NCCL 2.29.7) | CUDA 13.2 (CUDNN 9.20.0.48) (NCCL 2.29.7) | ROCm 7.2 |

— raw.githubusercontent.com, retrieved 2026-09-16

Where each value comes from

This source states these in separate places, so each value is shown with the passage that states it.

— all from raw.githubusercontent.com, retrieved 2026-09-16

Sources

• raw.githubusercontent.comhttps://raw.githubusercontent.com/pytorch/pytorch/main/RELEASE.md
• raw.githubusercontent.comhttps://raw.githubusercontent.com/pytorch/pytorch/release/2.13/.ci/pytorch/windows/internal/cuda_config.bat
• docs.nvidia.comhttps://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html

Last verified against source: 2026-09-16. Due for re-check by 2026-12-15. This page as Markdown · OKF bundle · full dataset as JSON.