-
Notifications
You must be signed in to change notification settings - Fork 25.6k
S390x update docker image #153619
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
S390x update docker image #153619
Conversation
It is required for multiple tests like TestUtilityFuns_opset_9::test_custom_op_fallthrough from onnx/test_utility_funs.py.
There is a bugfix for precompiled headers and s390x vectorization interaction in gcc >= 14. This switch fixes all tests in test/inductor/test_cpu_cpp_wrapper.py on s390x.
New gcc leads to new warnings. Don't turn those warnings into errors.
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/153619
Note: Links to docs will display an error until the docs builds have been completed. ⏳ 1 Pending, 1 Unrelated FailureAs of commit 2fdae5d with merge base cd119dd ( UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
What failures for ONNX 1.18? |
I did not investigate build failure yet, but here's example of log of build failure:
|
Newer onnx version doesn't build with old protobuf from manylinux. Drop system protobuf and let python pull protobuf from pypi when it's needed.
0010f39
to
2fdae5d
Compare
@pytorchbot merge -f 'Docker build job has passed, no need to run trunk job' |
Merge startedYour change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Please use Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Add ninja-build for pytorch tests.
Switch to gcc 14 due to fix for precompiled headers and s390x vectorization interaction.
Disable -Werror when building onnxruntime.
Pin onnx version.