PyTorch Lightning 1.4.9 documentation

PyTorch Lightning - Weights & Biases Documentation - Wandb

PyTorch Lightning provides a lightweight wrapper for organizing your PyTorch code and easily adding advanced features such as distributed training and 16-bit ...

PyTorch Lightning 1.5.9 documentation

1.4.9, 1.4.8, 1.4.7, 1.4.6, 1.4.5, 1.4.4, 1.4.3, 1.4.2, 1.4.1, 1.4.0. 01/20/2022. Getting started. Lightning in 2 steps · How to organize PyTorch into Lightning ...

PyTorch Lightning integration guide - neptune.ai documentation

PyTorch Lightning is a lightweight PyTorch wrapper for high-performance AI research. With the Neptune integration, you can: Track training code, environment, ...

Versioning Policy — PyTorch Lightning 1.9.4 documentation

PyTorch Lightning supports the latest four minor versions of PyTorch at the time of release. For example, PyTorch Lightning 1.8 supports PyTorch 1.10, 1.11, ...

How-to Guides — PyTorch Lightning 2.4.0 documentation

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Search — PyTorch Lightning 2.4.0 documentation

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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.

Community — PyTorch Lightning 2.4.0 documentation

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Template Trainer — PyTorch Lightning 1.9.4 documentation

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Versioning Policy — PyTorch Lightning 2.4.0 documentation

PyTorch Lightning follows NEP 29 which PyTorch also follows (#74203). The table below indicates the coverage of tested versions in our CI. Versions outside the ...

LightningModule — PyTorch Lightning 1.9.6 documentation

Thus, to use Lightning, you just need to organize your code which takes about 30 minutes, (and let's be real, you probably should do anyway). Starter Example.

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.

Metrics — PyTorch Lightning 1.4.4 documentation

pytorch_lightning.metrics has been moved to a separate package TorchMetrics. We will preserve compatibility for the next few releases, nevertheless, we ...

Metrics — PyTorch Lightning 1.4.0 documentation

metrics has been moved to a separate package TorchMetrics. We will preserve compatibility for the next few releases, nevertheless, we encourage users to update ...

Upgrade from 1.4 to the 2.0 — PyTorch Lightning 2.4.0 documentation

rely on either on_train_epoch_end or set outputs as attributes in your LightningModule instances and access them from the hook.

Overview: module code — PyTorch Lightning 1.4.4 documentation

All modules for which code is available · pytorch_lightning.accelerators.accelerator · pytorch_lightning.accelerators.cpu · pytorch_lightning.accelerators.gpu ...

Overview: module code — PyTorch Lightning 1.4.5 documentation

All modules for which code is available · pytorch_lightning.accelerators.accelerator · pytorch_lightning.accelerators.cpu · pytorch_lightning.accelerators.gpu ...

How to organize PyTorch into Lightning

1.4.9, 1.4.8, 1.4.7, 1.4.6, 1.4.5, 1.4.4, 1.4.3, 1.4.2, 1.4.1, 1.4.0. 08/23/2021 ... You are viewing an outdated version of PyTorch Lightning Docs. Click here to ...

How to become a core contributor - Lightning AI

1.4.9, 1.4.8, 1.4.7, 1.4.6, 1.4.5, 1.4.4, 1.4.3, 1.4.2, 1.4.1, 1.4.0. 09/30/2021 ... You are viewing an outdated version of PyTorch Lightning Docs. Click here to ...

Lightning in 2 Steps — PyTorch Lightning 1.6.4 documentation

pip install pytorch-lightning. Or with conda (see how to install conda here): ; conda install pytorch-lightning -c conda-forge. You could also use conda ...