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* Adding gradient accumulation support for ZeRO Stage 2. Changing all Megatron-LM tests to also test gradient accumulation

* Gradient Accumulation support for Stage 2. Model tests added to test the feature

* formatting

* Update deepspeed_light.py

removing comment

* Update ds_config_func_bs8_zero1.json

reverting this file back. Its not needed for this PR

* defining baseline prefix
Co-authored-by: Jeff Rasley <jerasley@microsoft.com>

* Support saving and loading ZeRO checkpoints on different data
parallelism degree.

* Fix formatting

* Support checkpoint with varying GPU count in ZeRO stage 1

* Fix formatting

* Formatting fixes

* Update model tests

* Remove pprint

* Minor fix

* Fix formatting

* Update model tests
Co-authored-by: Jeff Rasley <jerasley@microsoft.com>

* updates to support fp32 grad clipping and disable max_grad_norm

Updates for ZeRO stage 2 + ZeRO stage 1 w. RS
Co-authored-by: Tunji Ruwase <olruwase@microsoft.com>
Co-authored-by: Samyam Rajbhandari <samyamr@microsoft.com>
Co-authored-by: Shaden Smith <ShadenTSmith@gmail.com>
Co-authored-by: Elton Zheng <eltonz@microsoft.com>
Co-authored-by: Shaden Smith <Shaden.Smith@microsoft.com>
Co-authored-by: yuxionghe <yuxhe@microsoft.com>
Co-authored-by: Arash Ashari <arashari@microsoft.com>

* adding BingSqaud e2e test

* updating the draft test; bring final step under try section

* finalizinf test for base deepspeed and deepspeed with ZeRO

* applying the comment (thanks Jeff); fixed formatting

* update apex version to feb 5th commit

* use gradient clipping instead of max grad norm in tests

* add warning when user provides max_grad_norm

* update examples commit

* Push to remote

* Correctly handle multi output models by doing loss scaling in backward()
Unit tests for multi output models

* Fix formatting issues

* Formatting issues fix

* Fix formatting

* Update DeepSpeedExamples submodule
Enable Megatron model tests

* Enhancement: Ability to load checkpoint without loading the optimizer states. Unittest testing saving and loading checkpoint with fused, unfused and zero optimizer. The unitest takes about 165s

* Support legacy optimizer fusion as config option

* Configure for legacy optimizer fusion

* Update configuration jsons for new apex

* Porting BingBertSquad test

* Updating default paths.

* Enable model tests.

* Updating DeepSpeedExamples submodule

* Adding BingBertSquad's log uploads.

* Messed up the submodule again :-)

* simplifying the batch config, using a single assert to test for validity and allowing for specifying only the micro batch size

* Simplifying Batch Config, Adding ability to specify batch using just micro_batch, and adding a bunch of unit tests

* ran formatting

* Typo fixes and added the config file

* reformatting

* path fixes

* removing print statements