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* updates to support fp32 grad clipping and disable max_grad_norm

* BERT title

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

* Support dynamic loss scale args in fp16 optimizers

* Update names

* add basic post-install test

* 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

1) CSR parameter names should end with .weight. 
2) When using basic optimizer directly, DeepSpeed should handle zero_grad. Letting the basic optimizer do the zero_grad resulted in residual gradients in the embedding layer due to unknown reasons.

Remove explicit torch version requirement so that we can more easily support other versions

Co-authored-by: Shaden Smith <Shaden.Smith@microsoft.com>

* 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