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General in-place binary op support in dynamo #94203
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/94203
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 FailuresAs of commit 68d3336: BROKEN TRUNK - The following jobs failed but were present on the merge base 16387be:
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ghstack-source-id: c39b81dba828f18b9a4522729297bd1f7dce3642 Pull Request resolved: #94203
Continues the approach taken in #93271, expanding support to in-place binary ops (e.g. `__iadd__`). cc mlazos soumith voznesenskym yanboliang penguinwu anijain2305 EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng Xia-Weiwen wenzhe-nrv jiayisunx desertfire [ghstack-poisoned]
ghstack-source-id: 1742cdc36d3c250a23c4033f288e4c597f51cc87 Pull Request resolved: #94203
@pytorchbot merge -f "Unrelated timeout" |
Merge startedYour change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Stack from ghstack (oldest at bottom):
Continues the approach taken in #93271, expanding support to in-place binary ops (e.g.
__iadd__
).cc @mlazos @soumith @voznesenskym @yanboliang @penguinwu @anijain2305 @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @Xia-Weiwen @wenzhe-nrv @jiayisunx @desertfire