Add CUDA 13.2 support and drop unsupported 12.8/12.9#20440
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Add (13, 2) to SUPPORTED_CUDA_VERSIONS in install_utils.py and to the cuda.yml build matrix. Remove 12.8 and 12.9, which are no longer supported.
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/20440
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…failure The Windows CI image ships CUDA toolkits on PATH. After adding (13, 2) to SUPPORTED_CUDA_VERSIONS (#20440), install_executorch's auto-detection (setup.py: is_cuda_available() via nvcc) started returning True on the Windows runner (which has the CUDA 13.2 toolkit), so it flipped EXECUTORCH_BUILD_CUDA=ON. But the unittest jobs install CPU torch, so the resulting CUDA build of _portable_lib fails to load its CUDA DLLs at import time: ImportError: DLL load failed while importing _portable_lib causing all pytest collection to error out (unittest / unittest-editable / unittest-release on windows). Add a -cpuOnly switch to setup-windows.ps1 that forces -DEXECUTORCH_BUILD_CUDA=OFF via CMAKE_ARGS, and pass it from the CPU unittest workflow. The CUDA Windows jobs (cuda-windows.yml) keep the default and are unaffected.
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…LL load failure Same root cause as the unittest fix in this PR, second site. The Windows wheel build (build-wheels-windows.yml -> .ci/scripts/wheel/) does not go through setup-windows.ps1. The Windows CI image has the CUDA 13.2 toolkit on PATH, so after #20440 added (13, 2) to SUPPORTED_CUDA_VERSIONS, install_executorch's auto-detection enables EXECUTORCH_BUILD_CUDA and bakes a CUDA _portable_lib + aoti_cuda_shims.lib into the CPU wheel. The smoke test then fails with: ImportError: DLL load failed while importing _portable_lib Windows wheels are CPU-only (with-cuda: disabled), so force -DEXECUTORCH_BUILD_CUDA=OFF via CMAKE_ARGS in pre_build_script.sh on Windows.
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Add (13, 2) to SUPPORTED_CUDA_VERSIONS in install_utils.py and to the cuda.yml build matrix. Remove 12.8 and 12.9, which are no longer supported.