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* strengthen UT and fix hyperopt randint

* fix a ridiculous mistake

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

* unit test for fpgm pruner

* fpgm pruner pytorch and tensorflow 2.0 implementation

api refactor for compression, especially, quantization APIs

* Add comprehensive tests for tuners (#1570)

* refactor

* fix compressor op_types

* fix builtin pruners bug

* use type_as

* fix pruner bugs and add model compression README

* fix example bugs

* add AutoCompression.md and remove sensitive pruner

* fix tf pruner bugs

* update overview

* Pruner.md

* Resolve comments in PR 1571

* try to pass ut

* fix typo

* format doc-string

* use tensorflow.compat.v1

* Revert "use tensorflow.compat.v1"

This reverts commit 97a4ed923677c6dfd545fd654c55c424cf490a19.

* [Proposal] demo compressor (#1402)

model compression

* update doc for model compression (#1509)

* Update Overview.md

* Change Doc (#1510)

* refactor compression sdk (#1562)

* refactor compression sdk

* bugfix

* bugfix

* update ut

* Sync model compression doc and implementation (#1575)

* update doc

* formatting

* bugfix

* add import to examples

Add example for customized advisor and some refactoring

* Refactor `receive_customized_trial_result` API

* add doc

* update

* dev-tf-master

* fix bugs

* fix bugs

* remove unnecessary lines

* dev oneshot and darts

* dev nas

* dev enas and oneshot

* dev enas and oneshot

* dev enas and oneshot

* dev oneshot and enas

* dev oneshot

* add ut

* add docstring

* add docstring

* fix

* resolve comments by changing docstring

* resolve comments

* Refactor multiphase interface

* Implement multiphase on PAI

* update multiphase doc