[AIR][Doc] New Example: LightningTrainer with experiment tracking tools #34812
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Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com>
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Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com>
…_tracking_example
Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com>
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Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com>
Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com>
…_tracking_example
justinvyu
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May 16, 2023
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Nice! Can we also add this example to the table of contents under the other lightning examples.
Nit: Also, I think all lightning examples are tested on GPU right now, but this example only needs CPU? Maybe we can split the folder into examples/lightning/cpu and examples/lightning/gpu.
doc/source/train/examples/lightning/lightning_exp_tracking.ipynb
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Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com>
…_tracking_example
Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com>
@justinvyu ✅ Created a separate build object that test this example with CPU only. |
…_tracking_example
Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com>
Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com>
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May 17, 2023
| "\n", | ||
| "\n", | ||
| ":::{note}\n", | ||
| "This guide shows how to use the native [Logger](https://lightning.ai/docs/pytorch/stable/extensions/logging.html) integrations in PyTorch Lightning. Ray AIR also provides {ref}`experiment tracking integrations <tune-exp-tracking-ref>` for all the tools mentioned in this example. We recommend sticking with the PyTorch Lightning loggers.\n", |
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Is there any scenario the user would want to use the AIR integrations instead?
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Yes. One case I can think of is when a user wants more flexible logging, our integration allows users to directly interact with (e.g. wandb) client objects. However, the Lightning's logger has another layer of abstraction, so some APIs may not be supported by Lightning's logger.
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Co-authored-by: matthewdeng <matthew.j.deng@gmail.com> Signed-off-by: Yunxuan Xiao <xiaoyunxuan1998@gmail.com>
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…ls (ray-project#34812) Signed-off-by: woshiyyya <xiaoyunxuan1998@gmail.com> Signed-off-by: e428265 <arvind.chandramouli@lmco.com>
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Why are these changes needed?
Some users have trouble using wandb/cometML for experiment tracking while onboarding LightningTrainer. They are struggling between PTL native logger and our Ray integration.
This example aims to show the best practices of how to use PTL native logger in LightningTrainer.
Rendered doc: https://anyscale-ray--34812.com.readthedocs.build/en/34812/train/examples/lightning/lightning_exp_tracking.html
Related issue number
Close #34869
Checks
git commit -s) in this PR.scripts/format.shto lint the changes in this PR.method in Tune, I've added it in
doc/source/tune/api/under thecorresponding
.rstfile.