* 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>

* 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 cn times

* add en times

* align tag

* align type

* auto prune demo issue 382

* prune

* Update README.md

update default dataset

* ci ut

* code style
Co-authored-by: Ngmm <38800877+mmglove@users.noreply.github.com>

* add support of conditional block for pruning

* support pruning conditional block

* add notes for code

* Add URLs of slim models

* Rename slim models url

* add ofa

* add pretrained and quant models

* add slimfacenet pretrained and quant models

* 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

* paddleslim/quant/quanter.py

* fix bug

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

* 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