Release 2.7.0 validations checklist and cherry-picks #150628
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oncall: releng
In support of CI and Release Engineering
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🐛 Describe the bug
Similar to #144503
We need to make sure that:
Validate Linux aarch64 CUDA builds with triton (Please note all CUDA Aarch64 builds where validated by Nvidia)
Python 3.13 and 3.13t wheel validate - https://github.com/pytorch/test-infra/actions/runs/14177205860/job/39714932351
Amazon Linux 2023 Test + torch.compile + no numpy installed: https://github.com/pytorch/test-infra/actions/runs/14177205860/job/39714879789
Validate Metadata section of wheels - make sure python versions are set
PyTorch 2.7.0 exposes statically linked libstdc++ CXX11 ABI symbols : PyTorch 2.5.0 exposes statically linked
libstdc++
CXX11 ABI symbols. #133437 @ZainRizvi(release2.7) ~/test/release2.7/.venv/lib/python3.12/site-packages/torch/lib nm -gU libtorch_cpu.dylib | grep "recursive_directory_iterator"
CUDA
torch.linalg.eigh
fails on GPU #94772 with small wheels . Passes on GPU but failing on CPU, new issue: torch.linalg.eigh fails on CPU #145801torch.compile
libdevice
relative to shared library triton-lang/triton#1176 ) in PyTorch docker containertorch.compile
raises an error if used on Windows. Test (part of torchvision): https://github.com/pytorch/test-infra/actions/runs/14182325015/job/39731076931#step:9:447torch.compile
works on 3.13 : Test: https://github.com/pytorch/test-infra/actions/runs/14315674885/job/40121143490#step:15:3483torch.compile
raises error on 3.13t: Validated :RuntimeError: torch.compile is not supported on Python built with GIL disabled
MPS
Validate docker release builds
Issues/Milestone validation
Illegal instruction (core dumped)
on Raspberry Pi 4 when exporting ONNX withtorch 2.6.0
#146792 @xadupre @titaiwangmssympy
dependency spec for pytorch on PyPi wheel is still unchanged. #145225 @atalmanmasked_fill
exceeds the limit supported by the MPS backend: must be less than 2**32 elements #143477 @ZainRizvitorch.compile()
in 2.7.0 #150516 @zou3519Versions
2.7.0
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