* Fix warning

* Add unittest

* Fix skipping leaves option
* Add unitests

* fix key_error in pruner

* add unit test for get_ratios_by_loss

* Support for pruning training graph with auxiliary parameters

* Fix bugs

* Fix unitests.

* fix prune demo

* migrage static api

* fix a bug

* 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

* remove sensitive_pruner module

* migrate prune module

* 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 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

* Add group_param to collect relative covolution into groups.

* Support custom functions when computing pruned substructure of parameter
1. Support custom criterion of importance
2. Support custom importance sorting strategy