v0.3.0

What's Changed

• Bump version for development by @amogkam in #122
• Update README to render on Ray docs by @amogkam in #135
• Fix bash code block in Readme by @Yard1 in #136
• Fix for fractional GPU by @amogkam in #125
• Update broken PTL link by @amogkam in #137
• Fix hanging trainer.test() by @amogkam in #142
• Fix ray_ddp_sharded_example by @chongxiaoc in #153
• Pop kwargs to support LightningCLI by @amogkam in #154
• ray_ddp: support logged_metrics as part of remote worker return value by @chongxiaoc in #156
• Support PyTorch Lightning 1.6 by @JiahaoYao in #163
• Fix docs formatting by @JiahaoYao in #188
• fix issue #189 by @JiahaoYao in #190
• [Ray lightning 1.6] update the change according to the comment in #163 by @JiahaoYao in #195

New Contributors

• @Yard1 made their first contribution in #136
• @chongxiaoc made their first contribution in #153
• @JiahaoYao made their first contribution in #163

Full Changelog: 0.2.0...v0.3.0

v0.2.0

• Support for PyTorch Lightning v1.5 (#115, #121)!
• Update HorovodRayPlugin API to match the new Horovod on Ray API. num_hosts and num_slots args have been deprecated in favor of a generic num_workers arg (#71).
• get_tune_ddp_resouces has been renamed to get_tune_resources and can now be used for both RayPlugin and HorovodRayPlugin (#71).
• Rename the cpus_per_worker arg in get_tune_resources utility to num_cpus_per_worker to match the arg name in RayPlugin (#96).
• Annotate the APIs as beta (#88).

v0.1.1

• Documentation & Docstring Updates
• Support PyTorch Lightning 1.4.2

v0.1.0

Initial Release of ray_lightning!

You can install it as pip install ray-lightning