Further reading
We have mentioned some key tips and tricks that we have found useful for common troubleshooting. You can always refer to the Speed up model training documentation for more details on how to speed up training or on other topics. Here is a link to the documentation: https://pytorch-lightning.readthedocs.io/en/latest/guides/speed.html.
We have described how PyTorch Lightning supports the TensorBoard logging framework by default. Here is a link to the TensorBoard website: https://www.tensorflow.org/tensorboard.
Additionally, PyTorch Lightning supports CometLogger, CSVLogger, MLflowLogger, and other logging frameworks. You can refer to the Logging documentation for details of how those other logger types can be enabled. Here is a link to the documentation: https://pytorch-lightning.readthedocs.io/en/stable/extensions/logging.html.
