Added
- Added HPU support for fabric ([11](https://github.com/Lightning-AI/lightning-Habana/pull/11))
- Added Pytorch HPU profiler support ([15](https://github.com/Lightning-AI/lightning-Habana/pull/15))
- Added basic HPU infra support for deep speed ([21](https://github.com/Lightning-AI/lightning-Habana/pull/21))
- Added Pytorch HPU datamodule support ([16](https://github.com/Lightning-AI/lightning-Habana/pull/16))
Changed
- Changed code hierarchy in compliance with base lightning code for pytorch ([12](https://github.com/Lightning-AI/lightning-Habana/pull/12))
- Changed default HPU docker image based on HPU release 1.10.0 ([30](https://github.com/Lightning-AI/lightning-Habana/pull/30))
Fixed
- Fixed mnist example test ([20](https://github.com/Lightning-AI/lightning-Habana/pull/20))
- Habana's dataloader hang with Lightning 2.0.x ([29](https://github.com/Lightning-AI/lightning-Habana/pull/29))
- Make 29 applicable only for gaudi devices ([39](https://github.com/Lightning-AI/lightning-Habana/pull/39))
- Fixed environment initialization for hpus and fixed docs ([40](https://github.com/Lightning-AI/lightning-Habana/pull/40))
- Fixed docs and added work around to make use hpu media packages without signature issues ([41](https://github.com/Lightning-AI/lightning-Habana/pull/41))
Removed
- Cleaning up env's ID for HPU parallel plugins based on synapse AI release 1.9 ([28](https://github.com/Lightning-AI/lightning-Habana/pull/28))
- Remove unnecessary import checks which degrade performance ([38](https://github.com/Lightning-AI/lightning-Habana/pull/38))