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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

* add different tuner config files for config_test

* change MetisTuner config test due to no lightgbm python module in integration test

* install smac package in azure-pipelines

* SMAC need swig to be installed

* Try to install swig from source code

* remove SMAC test because the dependency can not be installed

* use sudo to install the swig

* sleep 10s to make sure the port has been released

* remove tuner test for networkmorphism because it uses more than 30s to release the tcp port

* word "down" to "done"

* add config test for Curvefitting assessor

* change file name

* Fix data type not match bug

* Optimize MetisTunner

* pretty the code

* Follow the review comment

* add exploration probability

* Avoid None type object generating

* fix nnictl log trial bug

* rollback chinese doc

* add argument 'experiment' to parser_log_trial and parser_trial_kill

* update doc

* add NASComparison for ResearchBlog

* Fix format of table

* update doc and add index to toctree

* Update NASComparison.md

Slightly change.

* Update NASComparison.md

Add http links in toctree

* Move ResearchBlog to bottom

move ResearchBlog to bottom

* Follow the review comments

* change the file structure

* add utils

* slight change

* Remove unrelated files

* add doc in SearchSpaceSpec.md and add config test for nested search space

* add unittest

* add unittest for hyperopt_tuner

* update as comment

* Update SearchSpaceSepc doc

* Delete unnecessary space change and correct a mistake

create utils.py, put extract_scalar_reward to it and remove others

1. Route tuner and assessor commands to 2 seperate queues  issue #841
2. Allow tuner to leverage intermediate result when trial is early stopped.  issue #843

* fix annotation, resolve annotation's key err bug, refactor the design

* fix bug

* add docs

* add ut

* add ut

* add to ci

* update doc

* update doc

* update ut

* add ut to ci

* add ut to ci

* add ut to ci

* add ut to ci

* add ut to ci

* add ut to ci

* add ut to ci

* add ut to ci

* test

* test

* test

* test

* test

* test

* test

* test

* test

* test

* revert

* refactor

* refactor

* s

* merge