Ray-lightning

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

New Contributors
* Yard1 made their first contribution in https://github.com/ray-project/ray_lightning/pull/136
* chongxiaoc made their first contribution in https://github.com/ray-project/ray_lightning/pull/153
* JiahaoYao made their first contribution in https://github.com/ray-project/ray_lightning/pull/163

**Full Changelog**: https://github.com/ray-project/ray_lightning/compare/0.2.0...v0.3.0

- 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).

- Documentation & Docstring Updates
- Support PyTorch Lightning 1.4.2

Initial Release of `ray_lightning`!

You can install it as `pip install ray-lightning`