* add gp_nas

* add_syncbn

* fix when kernel size is even

* fix name

* fix weight_op

Fix the error of save_quantized_model when weight_preprocess is PACT

* fix shortcut

* fix when kernel_size in ss

* fix export

* fix dp

* fix export model prune param twice

* add comment

* fix unittest

* fix

* update

* fix docs

* update

2. Add missing api index.rst
3. Fix comment in filter_pruner
4. Update links in API docs

Co-authored-by: NBai Yifan <me@ethanbai.com>

* add export model and depth

* Support for pruning training graph with auxiliary parameters

* Fix bugs

* Fix unitests.

* add ofa api docs

* fix prune demo

* migrage static api

* fix a bug

* fix when param name is not None

* fix

* fix when lambda is None

* fix

* fix when mnli

* fix

* fix embedding
Co-authored-by: NBai Yifan <me@ethanbai.com>

* for bert

* support 2.0

* fix bugs for ernie

* migrate remained api in common module

* fix bug
Co-authored-by: NBai Yifan <me@ethanbai.com>

* remove sensitive_pruner module

* migrate prune module

* fix some bug for migrating the prune module to 2.0-rc

* update some 1.8 api

* change num_worker from 16 to 1

* migrate common and core module

* fix a api in rl controller

* fix dataloader

* Added dygraph quantization.

* Added save_quant_model function

* Overload quant_aware, make dynamic and static model use the same interface.

* Use singledispatch to overload the quant aware for dygraph quantization

* Add unnitest for dygraph quant_aware

* Use 2.0 api for supporting paddle 2.0

* Using pre-commit to modify the coding style.

* Add unittest for user inputted quant_config.

* Add singledispath into requirements.txt
Co-authored-by: NBai Yifan <me@ethanbai.com>