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Move to stable binaries 2.13#3933

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atalman merged 3 commits into
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move-to-stable-binaries-2.13
Jul 8, 2026
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Move to stable binaries 2.13#3933
atalman merged 3 commits into
mainfrom
move-to-stable-binaries-2.13

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@atalman

@atalman atalman commented Jul 8, 2026

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Move the tutorials CI to the stable PyTorch 2.13 binaries for the 2.13 release, mirroring #3891 (which moved to 2.12).

  • .ci/docker/requirements.txt: torch==2.12 -> torch==2.13

AI assistance (Claude) was used for this change.

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pytorch-bot Bot commented Jul 8, 2026 •
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3933

Note: Links to docs will display an error until the docs builds have been completed.

✅ No Failures

As of commit a8abd8c with merge base cb473bc (image):
💚 Looks good so far! There are no failures yet. 💚

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@meta-cla meta-cla Bot added the cla signed label Jul 8, 2026
@atalman
Pin setuptools<81 so awscliv2 keeps pkg_resources
820a69c 
awscliv2==2.1.1 imports pkg_resources, which setuptools>=81 removed. The
fresh CI docker image (rebuilt by the torch bump) picked up a newer setuptools,
breaking `awsv2 -i` at the start of .jenkins/build.sh. Unrelated to torch 2.13.

Co-authored-by: Claude
@atalman

atalman commented Jul 8, 2026

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The build failures on the previous commit were not caused by the torch 2.13 bump. All 15 shards died at the first awsv2 -i in .jenkins/build.sh with:

ModuleNotFoundError: No module named 'pkg_resources'

awscliv2==2.1.1 imports pkg_resources, which setuptools>=81 removed. Editing .ci/docker/requirements.txt (the torch pin) forces a fresh CI image build, which pulled a current setuptools without pkg_resources — so this would hit any PR that rebuilds the image. main's last green build used the older cached image.

Pushed setuptools<81 next to the awscliv2 pin (820a69c) to restore pkg_resources. torch 2.13 installs fine; the failure was pre-existing infra.

AI assistance (Claude) was used for this analysis and fix.

@atalman
Pin protobuf<6 for ray[serve]==2.55.0
a8abd8c 
ray[serve]==2.55.0's _proto_to_dict reads FieldDescriptor.label, which
protobuf>=6 removed, breaking beginner_source/serving_tutorial.py with
"'google._upb._message.FieldDescriptor' object has no attribute 'label'".
The fresh CI image (rebuilt by the torch bump) pulled protobuf 6. ray 2.55.0
declares protobuf>=3.20.3 with no upper bound, so this pin is compatible.
Unrelated to torch 2.13.

Co-authored-by: Claude
@atalman atalman merged commit 8e14c2a into main Jul 8, 2026
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