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@desertfire desertfire commented Oct 13, 2025

Summary: Update the TorchInductor cpp-wrapper mode tutorial with update-to-date information.

Fixes T237454981

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As title

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  • The issue that is being fixed is referred in the description (see above "Fixes #ISSUE_NUMBER")
  • Only one issue is addressed in this pull request
  • Labels from the issue that this PR is fixing are added to this pull request
  • No unnecessary issues are included into this pull request.

cc @williamwen42 @msaroufim @anijain2305 @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @chauhang

Summary: Update the TorchInductor cpp-wrapper mode tutorial with update-to-date information.
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pytorch-bot bot commented Oct 13, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3614

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@meta-cla meta-cla bot added the cla signed label Oct 13, 2025
@desertfire desertfire requested a review from jisaacso October 13, 2025 15:12
@svekars svekars added the torch.compile Torch compile and other relevant tutorials label Oct 13, 2025
to improve model performance with minimal code modification. We described the
motivation for this feature, detailed the experimental API used to enable it,
and compared the generated outputs of the default Python wrapper and the new
C++ wrapper on both CPU and GPU backends to illustrate their distinctions.
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Maybe add links to some torchinductor documentation/related tutorials

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