Enable Support for Multi-GPU Training #517
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it down to `torch.save()` when caching datasets to disk
so that it can be restored when accessing `TabularDataset.data`
`validation_step()` and `test_step()` to distributed training
remove integer choices. Add a pointer to docs with possible options
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@manujosephv wish i knew a release was coming or i would have push this up sooner, sorry about that |
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@manujosephv I see some python 3.8 fails because the option context im using isn't available. let me know how you'd like me to address those |
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@manujosephv I removed the commits that tried to address the All checks are passing now |
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Dec 10, 2024
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@sorenmacbeth Sorry for the delay. got caught up with some other things last week! Thanks for this PR.. Merging it :) |
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FutureWarningandPerformanceWarningprecisionto string to match PLpickle_protocolinDataConfigto save very large DataModulesTabularDatasetI've tested this using the DDP strategy but I believe it will work with other PL strategies as well.
📚 Documentation preview 📚: https://pytorch-tabular--517.org.readthedocs.build/en/517/