GitLab

* add data parallel proposal

* fix mask_weight bug

* add slim pruner support and example

* fix typo

* fix typo

* fix setattr error

* fix buffer update

* rename instrument_layer and prunerLayerWrapper

* fix pylint

* update reverse travsal

* add wrap and unwrap

* add register_buffer API

* update docstring

* update docstring

* add quantizer support

* fix typo

* update MeanActivationPruner, weight_rank_filter_pruner and example

* darts mutator docs

* fix docs

* update

* add docs for SPOS

* index SPOS

* restore workers

* change auto-feature-engineering dir

* add dir

* update the ReadME

* add test time and memory

* update docs | update benchmark

* add gitignore

* update benchmark in feature selector(memory and time)

* merge master

* ignore F821 in flake8 | update benchmark number

* update number in benchmark

* fix flake8

* remove the update for the azure-pipeline.yml

* update by comments

* add pruner unit test
* modify pruners compatible with torch0.4.1

* first update

* update by folder naming

* add gradient feature selection example

* add examples

* delete unused example

* update by pylint

* update by pylint

* update learnability by info from pylint

* fix pylint in fgtrain

* update fginitlize and learnability by pylint

* update by evan's response

* add gbdt_selector

* update gbdt_selector

* refine the example folder structure

* update feature engineering doc

* update docs of feature selector

* update doc of gradientfeature selector

* update docs of GBDTSelector

* update examples of gradientfeature selector

* update folder structure

* update docs by folder structure

* test pylint

* test

* update by pylint

* update by pylint

* update docs and remove some dependency

* remove unused code

* update by comments

* update by comments

* move the feature selection example path

* delete unused dependency

* fpgm pruner pytorch and tensorflow 2.0 implementation

* add enas macro

* refactor example directory structure

* update docstring