[CI] Use jemalloc for CUDA builds #116900
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/116900
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 9318e91 with merge base 0f0020d ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
atalman
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Jan 5, 2024
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@pytorchbot merge -f "pull is green, should not affect trunk" |
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huydhn
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Jan 8, 2024
According to @ptrblck it'll likely mitigate non-deterministic NVCC bug See #116289 for more detail Test plan: ssh into one of the cuda builds and make sure that `LD_PRELOAD` is set for the top-level make command Pull Request resolved: #116900 Approved by: https://github.com/atalman
malfet
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Jan 9, 2024
According to @ptrblck it'll likely mitigate non-deterministic NVCC bug See #116289 for more detail Test plan: ssh into one of the cuda builds and make sure that `LD_PRELOAD` is set for the top-level make command Pull Request resolved: #116900 Approved by: https://github.com/atalman Co-authored-by: Nikita Shulga <nshulga@meta.com>
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According to @ptrblck it'll likely mitigate non-deterministic NVCC bug
See #116289 for more detail
Test plan: ssh into one of the cuda builds and make sure that
LD_PRELOADis set for the top-level make command