* quant quick_start update

* quant quick_start update

* fix when param name is not None

* fix nas (#553)

* fix when lambda_distill is None in ofa (#550)

* fix

* fix when lambda is None

* fix when the task is mnli (#540)

* fix

* fix when mnli

* Fix ofa (#536)

* fix

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

* fix dygraph quant demo dataset issue

* fix dygraph quant demo dataset issue

* move imagenet.py to root of demo

* Support eval and export model in pruning demo

* fix

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

* for bert

* support 2.0

* fix bug

* code fix

* fix dataloader

* Add TRT deploy

* code clean

* doc refine

* fix bugs for ernie

* migrate remained api in common module

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

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>

* remove sensitive_pruner module

* migrate prune module

* migrate quant code to paddle2.0

* fix quant unittest

* fix demo

* Fix unittest for static graph

* Add some comments

* Fix unittest

* post_quant_static: remove the cache params, add optimize_model params, test=develop
Co-authored-by: NBai Yifan <me@ethanbai.com>