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pytorch-lightning

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About pytorch-lightning

P

pytorch-lightning

Deep learning framework (PyTorch Lightning / lightning package)

pytorch-lightning is an agent skill for the PyTorch Lightning deep-learning framework, which organises PyTorch code into LightningModules and removes boilerplate while keeping full flexibility. It covers configuring Trainers for multiple GPUs and TPUs, automating training workflows, and scaling across devices, along with best practices for neural-network training. The reviewed release is Lightning 2.6.6, including its checkpoint-loading security fixes. The CPU tests used Python 3.11, Torch 2.14.1 and Lightning 2.6.6. Import the lightning package as import lightning as L. The separate pytorch-lightning distribution uses import pytorch_lightning as pl, and the skill warns not to mix the two class namespaces in one application. GPU, TPU, multi-node and online logger examples are source-verified illustrations rather than executed training runs. Use it when you are training a PyTorch model and want the training loop, checkpoints and multi-device setup handled by the framework. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,900 installs.

View pytorch-lightningAll AI Skills apps
Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/pytorch-lightning