[dynamo][export] Do not graph break on torch.autograd._profiler_enabled for export #164418
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…ed for export Actually we would like to not graph break even in the case of Dynamo. But there is a weird-unsolved bug with Kineto + Dynamo when there are distributed jobs that lead to NCCL timeouts. This bug is a rare edege case, but we have not been able to root cause it yet. But for export, we do not anticipate JIT tracing in distributed job training and therefore this PR is safe for export.
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/164418
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StrongerXi
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Oct 2, 2025
williamwen42
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Oct 2, 2025
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…ed for export (pytorch#164418) Actually we would like to not graph break even in the case of Dynamo. But there is a weird-unsolved bug with Kineto + Dynamo when there are distributed jobs that lead to NCCL timeouts. This bug is a rare edege case, but we have not been able to root cause it yet. But for export, we do not anticipate JIT tracing in distributed job training and therefore this PR is safe for export. Fixes #ISSUE_NUMBER Pull Request resolved: pytorch#164418 Approved by: https://github.com/StrongerXi, https://github.com/williamwen42
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Actually we would like to not graph break even in the case of Dynamo. But there is a weird-unsolved bug with Kineto + Dynamo when there are distributed jobs that lead to NCCL timeouts. This bug is a rare edege case, but we have not been able to root cause it yet.
But for export, we do not anticipate JIT tracing in distributed job training and therefore this PR is safe for export.
Fixes #ISSUE_NUMBER
cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng @chauhang @amjames @Lucaskabela