Community — PyTorch Lightning 2.4.0 documentation

Community: Code of conduct, Contributor Covenant Code of Conduct, Contribution guide, How to contribute to PyTorch Lightning, How to become a core contributor.

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How-to Guides — PyTorch Lightning 2.4.0 documentation

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Common Workflows — PyTorch Lightning 2.4.0 documentation

Common Workflows. Customize and extend Lightning for things like custom hardware or distributed strategies. Avoid overfitting. Add a training and test loop.

Community — PyTorch Lightning 2.0.4 documentation

How to Become a core contributor. Steps to be a core contributor · Lightning Governance. The governance processes we follow · Versioning. PyTorch ...

Trainer — PyTorch Lightning 2.4.0 documentation

Trainer. class lightning.pytorch.trainer.trainer.Trainer(*, accelerator='auto', strategy='auto', devices='auto', num_nodes=1, precision=None, logger=None, ...

Lightning in 15 minutes — PyTorch Lightning 2.4.0 documentation

PyTorch Lightning is the deep learning framework with “batteries included” for professional AI researchers and machine learning engineers.

pytorch-lightning - PyPI

pytorch-lightning 2.4.0 ... Scale your models, not the boilerplate. Website • Key Features • How To Use • Docs • Examples • Community • Lightning AI • License.

Trainer — PyTorch Lightning 2.4.0 documentation

The Lightning Trainer does much more than just “training”. Under the hood, it handles all loop details for you, some examples include:

Releases · Lightning-AI/pytorch-lightning - GitHub

We thank all our contributors who submitted pull requests for features, bug fixes and documentation updates. ... pytorch-lightning-2.4.0.tar.gz. 611 KB Aug 7.

pytorch-lightning 2.4.0 on PyPI - Libraries.io

Documentation. Lightning. The deep learning framework to pretrain, finetune and deploy AI models. NEW- Deploying models? Check ...

LightningModule — PyTorch Lightning 2.4.0 documentation

Gather tensors or collections of tensors from multiple processes. This method needs to be called on all processes and the tensors need to have the same shape ...

Version dependencies between torch-lightning and torch. #14743

I'm curious as to where to get the full compatibility between previous versions of pytorch-lightning and torch. Any help would be greatly appreciated, thanks!

Build a Model — PyTorch Lightning 2.4.0 documentation

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PyTorch

Install PyTorch ; PyTorch Build. Stable (2.5.1). Preview (Nightly) ; Your OS. Linux. Mac. Windows ; Package. Conda. Pip. LibTorch. Source ; Language. Python. C++ / ...

How to log the learning rate with pytorch lightning when using a ...

I've been trying to find some documentation, I don't want to save all the hyperparameters each epoch, just the learning rate.

Regular User — PyTorch Lightning 2.4.0 documentation

used PyTorch 1.11. upgrade to PyTorch 2.1 or higher. PR18691 ; called self.trainer.model.parameters() in LightningModule.configure_optimizers() when using FSDP.

Could not find a version that satisfies the requirement torch>=1.0.0?

current community · Stack Overflow · help chat · Meta Stack ... Silly that Pytorch doesn't document the max Python version it supports. – ...

Saving and Loading Models - PyTorch

This means that you must deserialize the saved state_dict before you pass it to the load_state_dict() function. For example, you CANNOT load using model.

BatchSizeFinder — PyTorch Lightning 2.4.0 Documentation

The BatchSizeFinder feature in PyTorch Lightning is a valuable tool for optimizing the batch size during model training.