GitLab

* v0.1.6

* adding a test to prove the inter operability with upstream pytorch
* updating the changelog
* eager state pruning
* pytorch 1.5 compat

* trying to fix the missing files in the pip package (not in this diff)
* adding a long description, more pypi friendly

release pip package to follow suit

* [feat] sync adascale from internal repo

- tbd

testing: tbd

* Update argument document of __init__

* update documentation around set_num_gradients_to_accumulate

* added checking code for proper API calling places

* rename internal APIs to make them internal

* updated changelog

* added support for add_param_group and its unit test

* added unit test for set_num_gradients_to_accumulate

* added debias_ewma unit test

* fixed test_set_num_gradients_to_accumulate (need zero_grad() call)

* added missing zero_grad() to test_lr_scheduler

* fixed test_add_param_group with respect to optim.zero_grad()

* added test_gradient_value

* added test_scale_not_equal_default for scale != world_size * grad_accum

* added test_unhook()

* removed print statements

* fixed a typo

* addressed Ben's comment

* removing a dead call since ShardedDDP, small speedup
* unrelated, but filling in the changelog
* another nit

* Update changelog

missed this item from previous AdaScale commit.

* More change log

* Addressed review comments

* added AdaScale to README

* [adascale] added gradient accumulation

- added gradient accumulation
- tested with cifar full trainings with different value of accumulation
and verified the full accuracy is obtained
- also removed the patch optimize flag until we need it

* [adascale] adding pytest

- added basic and ddp tests and grad_accum
- closes #195

* added changelog

* added ddp grad_accum test

* moved ddp and non-ddp tests into separate files

* added checkpoint test

* more doc

* addressed Mike's comments

Fixes #190