History

awaelchli c8059d7bfd (6/n) Support 2D Parallelism - Trainer example (#19879 ) * Add 2D parallel example * replace with torchtitan code		2024-05-18 20:35:58 -04:00
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app	precommit: ruff-format (#19434 )	2024-02-15 13:39:17 -05:00
fabric	(6/n) Support 2D Parallelism - Trainer example (#19879 )	2024-05-18 20:35:58 -04:00
pytorch	(6/n) Support 2D Parallelism - Trainer example (#19879 )	2024-05-18 20:35:58 -04:00
README.md	replace bolts url on example's readme (#19677 )	2024-03-20 10:23:12 -04:00
run_fabric_examples.sh	copyright Lightning AI team (#16647 )	2023-02-06 15:26:51 +01:00
run_pl_examples.sh	Refactor PL examples to `examples/pytorch/` (#16925 )	2023-03-07 11:24:46 -05:00

README.md

Examples

Note that some examples may rely on new features that are only available in the development branch and may be incompatible with any releases. If you see any errors, you might want to consider switching to a version tag you would like to run examples with. For example, if you're using pytorch-lightning==1.6.4 in your environment and seeing issues, run examples of the tag 1.6.4.

Lightning Fabric Examples

We show how to accelerate your PyTorch code with Lightning Fabric with minimal code changes. You stay in full control of the training loop.

Lightning Trainer Examples

In this folder, we have 2 simple examples that showcase the power of the Lightning Trainer.

Image Classifier (trains arbitrary datasets with arbitrary backbones).
Autoencoder

Domain Examples

This folder contains older examples. You should instead use the examples in Lightning Bolts for advanced use cases.