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