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* add pytest skips around tests that require certain ops to be installed

This reverts commit e549be60.

* supporting different intermediate sizes other than 4*hidden_dim

* run precommit

* uncommnet the unit tests
Co-authored-by: Jeff Rasley <jerasley@microsoft.com>

Co-authored-by: Jeff Rasley <jerasley@microsoft.com>

* ZeRO-Offload (squash) (#381)
Co-authored-by: Olatunji Ruwase <olruwase@microsoft.com>
Co-authored-by: Reza Yazdani <reyazda@microsoft.com>
Co-authored-by: Jeff Rasley <jerasley@microsoft.com>
Co-authored-by: Jie <37380896+jren73@users.noreply.github.com>
Co-authored-by: Arash Ashari <arashari@microsoft.com>
Co-authored-by: Reza Yazdani <reyazda@microsoft.com>
Co-authored-by: Samyam Rajbhandari <samyamr@microsoft.com>
Co-authored-by: Shaden Smith <Shaden.Smith@microsoft.com>
Co-authored-by: arashashari <arashashari@ArashMSLaptop.redmond.corp.microsoft.com>
Co-authored-by: RezaYazdaniAminabadi <44502768+RezaYazdaniAminabadi@users.noreply.github.com>
Co-authored-by: Reza Yazdani <reyazda@microsoft.com>
Co-authored-by: Samyam Rajbhandari <samyamr@microsoft.com>
Co-authored-by: Shaden Smith <Shaden.Smith@microsoft.com>

* 1-bit adam (#353)
Co-authored-by: Jeff Rasley <jerasley@microsoft.com>
Co-authored-by: Your Name <you@example.com>
Co-authored-by: tanghl1994 <htang14@ur.rochester.edu>
Co-authored-by: Hank <tanghl1994@gmail.com>
Co-authored-by: root <root@node2x12b.cs.rochester.edu>
Co-authored-by: Ammar Ahmad Awan <awan.ammar@microsoft.com>

* Sparse attn + ops/runtime refactor + v0.3.0
Co-authored-by: Arash Ashari <arashari@microsoft.com>
Co-authored-by: Arash Ashari <arashari@microsoft.com>

Renaming config files to gas3

* 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>

* add fix and tests for get_lr from lr_scheduler before training starts

* empty grad fix
* add unit tests for empty grad

* 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>

* add amp support for deepspeed (non-ZeRO)
* tests for amp mode

* Load non-DeepSpeed checkpoints into ZeRO optimizer

* Handle parameters smaller than DP

* Formatting fixes

* Handle empty partitions

* Fix perf bug
Co-authored-by: Jeff Rasley <jerasley@microsoft.com>

* Load non-DeepSpeed checkpoints into ZeRO optimizer

* Handle parameters smaller than DP

* Formatting fixes

* Transformer kernels release
Co-authored-by: Shaden Smith <ShadenTSmith@gmail.com>
Co-authored-by: Elton Zheng <eltonz@microsoft.com>
Co-authored-by: Reza Yazdani <reyazda@microsoft.com>
Co-authored-by: RezaYazdaniAminabadi <44502768+RezaYazdaniAminabadi@users.noreply.github.com>
Co-authored-by: Tunji Ruwase <olruwase@microsoft.com>
Co-authored-by: Shaden Smith <ShadenTSmith@gmail.com>
Co-authored-by: Shaden Smith <Shaden.Smith@microsoft.com>
Co-authored-by: Samyam Rajbhandari <samyamr@microsoft.com>
Co-authored-by: Shaden Smith <ShadenTSmith@gmail.com>
Co-authored-by: Jeff Rasley <jerasley@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: Reza Yazdani <reyazda@microsoft.com>
Co-authored-by: RezaYazdaniAminabadi <44502768+RezaYazdaniAminabadi@users.noreply.github.com>
Co-authored-by: Tunji Ruwase <olruwase@microsoft.com>
Co-authored-by: Shaden Smith <Shaden.Smith@microsoft.com>
Co-authored-by: Samyam Rajbhandari <samyamr@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

* Support dynamic loss scale args in fp16 optimizers

* Update names

* 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

* added zero_allow_untested_optimizer flag helpers

* add zero_allow_untested_optimizer config constants

* zero_allow_untested_optimizer logic with assertion

* Added unit test and CustomOptimizer helper class

* 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

* add tests cases for onecycle policy with fp16/zero

* Make lr schedulers support fp16 optimizers

* Fix formatting

* More specific naming
Co-authored-by: Jeff Rasley <jerasley@microsoft.com>

* add auto-detect to torch dist init

* update tests to infer distributed init status

* prevent crash if dist_init_required is True but already initiliazed

* only init if safe to do so (forgot to add this file in prev commit)

* Support legacy optimizer fusion as config option

* Configure for legacy optimizer fusion

* Update configuration jsons for new apex