* add gp_nas

* add_syncbn

* fix when kernel size is even

* fix name

* fix weight_op

* fix shortcut

* fix when kernel_size in ss

* fix export

* fix dp

* fix export model prune param twice

* add comment

* fix unittest

* fix

* update

Co-authored-by: Nceci3 <ceci3@users.noreply.github.com>

* add export model and depth

* Support for pruning training graph with auxiliary parameters

* Fix bugs

* Fix unitests.

* add ofa api docs

* fix when param name is not None

* fix

* fix when lambda is None

* for bert

* support 2.0

* fix dataloader

* fix bugs for ernie

* 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>

* migrate quant code to paddle2.0

* fix quant unittest

* fix demo

* Fix unittest for static graph

* Add some comments

* Fix unittest

* add adaptive pact threshold matching

* update readme

* fix coverage

* fix coverage

* Make unitest support for Paddle2.0 API.

* Fix demo in static mode

* Remove unused lines

* Fix demo of darts

* add support of conditional block for pruning

* support pruning conditional block

* add notes for code

* add ofa

* fix

* update connect

* add uniitest

* add new argument for easy load prune program

* add argument make load pruned program more easier

* change save function arg

* fix test

* fix format

* fix pruned model save and load, fix bugs of pruning depthwise conv

* add unit test of pruned model save and load

* temp delete

* add unit test

* add some unit tests

* complete autoprune unit test

* add sensitive unit tests

* fix some unit test

* fix auto_pruner.py

* fix pruned model save and load, fix bugs of pruning depthwise conv

* add unit test of pruned model save and load

* temp delete

* add unit test

* fix bug when prune the depthwise convolution layer

* fix bug when prune the depthwise convolution layer

* fix bug when prune depthwise convolution layer

* fix pruner when prune depthwise convolution layer

* remove print from unit test

* fix dml issue

* disable multiprocess reader

* add other model

* add dml unittest

* fix log_softmax

* make dml compatible with 1.8 and 2.0 version paddle

* fix coverage