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Update inductor jobs to use CUDA 12.4 #142177
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/142177
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 2c8c4a7 with merge base 16ea0dd ( UNSTABLE - The following job failed but was likely due to flakiness present on trunk and has been marked as unstable:
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This is a short-term mitigation for pytorch/pytorch#141885 in which any changes touching `.ci/docker` would cause all the builds to fail until docker build workflow finishes building the images. At the moment, we don't have a good way to tell the build workflow to wait for the new docker image, so my fix here attempts to inject a delay when the action is called by `_linux_build`. It will wait up to 90 minutes for the Docker build to finish ### Testing pytorch/pytorch#142177
✅ Deploy Preview for chimerical-cranachan-793287 ready!
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lgtm. Thank you!
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@pytorchbot merge -f 'Inductor jobs have passed' |
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 |
CUDA 12.4 is the default now. This frees up some resources. This also fixes newly added Python 3.13 job by #140733. That PR missed adding the new Docker image
pytorch-linux-focal-cuda12.4-cudnn9-py3.13-gcc9-inductor-benchmarksinto docker build workflow.