Lightning-habana

Added

- Documentation with examples for using DeepSpeed with HPU ([64](https://github.com/Lightning-AI/lightning-Habana/pull/64))
- Add autocast using HPUPrecision plugin ([66](https://github.com/Lightning-AI/lightning-Habana/pull/66), [#75](https://github.com/Lightning-AI/lightning-Habana/pull/75))
- Demonstrate HPU Graphs support ([67](https://github.com/Lightning-AI/lightning-Habana/pull/67))
- Enhance test coverage of DeepSpeed strategy on HPU ([68](https://github.com/Lightning-AI/lightning-Habana/pull/68))
- Added version check helper to use right release ([75](https://github.com/Lightning-AI/lightning-Habana/pull/75), [#76](https://github.com/Lightning-AI/lightning-Habana/pull/76))
- Implement reduce with parallel plugin ([77](https://github.com/Lightning-AI/lightning-Habana/pull/77))

Changed

- Changed HPU docker image based on synapse AI release 1.11.0 & upgraded deepspeed plugin to version 0.9.4 ([61](https://github.com/Lightning-AI/lightning-Habana/pull/61))

Fixed

- Fixed optimizer priority based on deepspeed specification ([36](https://github.com/Lightning-AI/lightning-Habana/pull/69))
- Fixed missing extras in package ([70](https://github.com/Lightning-AI/lightning-Habana/pull/70))

Deprecated

- Warn on HMP deprecation from `HPUPrecision` plugin ([65](https://github.com/Lightning-AI/lightning-Habana/pull/65))

Added

- Added tests for mixed precision training ([36](https://github.com/Lightning-AI/lightning-Habana/pull/36))
- Example to include mixed precision training ([54](https://github.com/Lightning-AI/lightning-Habana/pull/54))

Changed

- Enabled skipped tests based on registered strategy, accelerator ([46](https://github.com/Lightning-AI/lightning-Habana/pull/46))

Fixed

- Fixed Attribute Error ([43](https://github.com/Lightning-AI/lightning-Habana/pull/43))
- Fixed wrong imports ([44](https://github.com/Lightning-AI/lightning-Habana/pull/44))
- Fixed graph breaks in test/val phases in lazy mode ([45](https://github.com/Lightning-AI/lightning-Habana/pull/45))

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))