PyTorch Lightning 2.0 FAQ

PyTorch Lightning 2.0 updates the framework with a simpler, more stable core designed to reduce complexity, improve debugging, and retain its capabilities for organizing and scaling PyTorch training code. The release introduces Lightning Fabric, a complementary library for use cases requiring greater control over training loops, including reinforcement learning, while simplifying the Trainer codebase and removing outdated integrations. Most users upgrading from version 1.9 are expected to encounter few breaking changes, though those migrating from earlier releases should consult the migration guide. Lightning 1.9.x will continue receiving long-term bug fixes but no new features, offering an option for users who depend on functionality removed in 2.0, and the new version supports training compiled models.

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