PyTorch 1.13 with CUDA 11.6
For PyTorch 1.13 with CUDA 11.6, pytorch release is 1.13; cuda build is CUDA 11.6; python versions is >=3.7, <=3.10; cudnn version is 8.3.2.44; build script: base architecture list is TORCH_CUDA_ARCH_LIST="3.7;5.0;6.0;7.0", recorded from its source on 2026-09-16.
- Pairing
- PyTorch 1.13 with CUDA 11.6 our reading
- PyTorch release
- 1.13 verified
- CUDA build
- CUDA 11.6 verified
- Python versions
- >=3.7, <=3.10 verified
- cuDNN version
- 8.3.2.44 verified
- Build script: base architecture list
- TORCH_CUDA_ARCH_LIST="3.7;5.0;6.0;7.0" verified
- Build script: this CUDA build's architecture line
- TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};7.5;8.0;8.6" verified
- GPU architectures compiled in, Windows wheel
- 3.7+PTX;5.0;6.0;6.1;7.0;7.5;8.0;8.6 verified
- Minimum driver (minor version compatibility)
- >= 450 verified
- Toolkit driver, Linux x86_64
- >=510.39.01 verified
- Toolkit driver, Windows x86_64
- >=511.23 verified
- Wheel index URL
- https://download.pytorch.org/whl/cu116 our reading
Values marked our reading are our classification of what the source says — the source does not print them in those words. The quote below is the evidence for each one; judge it yourself.
What the source says
| 1.13 | >=3.7, <=3.10 | C++14 | CUDA 11.6, CUDNN 8.3.2.44 | CUDA 11.7, CUDNN 8.5.0.96 | ROCm 5.2 |
— raw.githubusercontent.com, retrieved 2026-09-16
Where each value comes from
This source states these in separate places, so each value is shown with the passage that states it.
Build script: base architecture list
TORCH_CUDA_ARCH_LIST="3.7;5.0;6.0;7.0"
Build script: this CUDA build's architecture line
11.[3567]) TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST};7.5;8.0;8.6"
GPU architectures compiled in, Windows wheel
IF "%BUILD_VISION%" == "" ( set TORCH_CUDA_ARCH_LIST=3.7+PTX;5.0;6.0;6.1;7.0;7.5;8.0;8.6
Minimum driver (minor version compatibility)
11.x | >= 450 | < 525
Toolkit driver, Linux x86_64 and Toolkit driver, Windows x86_64
CUDA 11.6 GA | >=510.39.01 | >=511.23
— 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/builder/release/1.13/manywheel/build_cuda.sh
- raw.githubusercontent.comhttps://raw.githubusercontent.com/pytorch/builder/release/1.13/windows/cuda116.bat
- docs.nvidia.comhttps://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html