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Module tests fail because of segfault in cuDNN destructor #1
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narendasan
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7.0.0) - Closes #42 - Issue #1 is back, unknown root cause, will follow up with the PyTorch Team - Closes #14: The default build now requires users to grab the tarballs from the NVIDIA website to support hermetic builds, may look at some methods to smooth this out later. The old method is still available - New operators need to be implemented to support MobileNet in 1.5.0 (blocks merge into master) Signed-off-by: Naren Dasan <[email protected]> Signed-off-by: Naren Dasan <[email protected]>
Recent issues may be fixed in PyTorch next with this pytorch/pytorch#36416 |
This issue has not seen activity for 30 days, Remove stale label or comment or this will be closed in 5 days |
This issue has not seen activity for 30 days, Remove stale label or comment or this will be closed in 5 days |
This issue has not seen activity for 30 days, Remove stale label or comment or this will be closed in 5 days |
narendasan
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…_traceback Adding error prefix to pytorch traceback
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The tests pass functionality wise, but in the clean up, the test segfaults. It seems like this is a issue others have seen in libtorch pytorch/pytorch#17658
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