GitLab

* 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

* fix-annotation

* fix annotation for error printing

* update annotation

* update annotation

* update annotation

* update annotation

* update unittest for annotation

* update unit test

* update annotation

* update annotation

* update annotation

* update ut

* update ut

* Quick fix nnictl config logic (#289)

* fix nnictl bug

* fix install.sh

* add desc for Dockerfile.build.base

* update document for Dockerfile

* update

* refactor port detect

* update

* refactor NNICTLDOC.md

* add document for pai and nnictl

* add default value for port

* add exception handling in trial_keeper.py

* fix port bug

* fix resume

* fix nnictl resume and fix nnictl stop

* fix document

* update

* refactor nnictl

* update

* update doc

* update

* update nnictl

* fix comment

* revert dockerfile

* update

* update

* update

* fix nnictl error hit

* fix comments

* fix bash-completion

* fix paramiko install

* quick fix resume logic

* update

* quick fix nnictl

* PR merge to 0.3 (#297)

* refactor doc

* update with Mao's suggestions

* Set theme jekyll-theme-dinky

* update doc

* fix links

* fix links

* fix links

* merge

* fix links and doc errors

* merge

* merge

* merge

* merge

* Update README.md (#288)

added License badge

* merge

* updated the "Contribute" part (merged Gems' wiki in, updated ReadMe)

* fix link

* fix doc mistakes and broken links. (#271)

* refactor doc

* update with Mao's suggestions

* Set theme jekyll-theme-dinky

* updated the "Contribute" part (merged Gems' wiki in, updated ReadMe)

* fix link

* Update README.md

* Fix misspelling in examples/trials/ga_squad/README.md

* revise the installation cmd to v0.2

* revise to install v0.2

* remove enas readme (#292)

* Fix datastore performance issue (#301)

* Fix nnictl in v0.3 (#299)

Fix old version of config file
fix sklearn requirements
Fix resume log logic

* add basic tuner and trial for network morphism

* Complete basic receive_trial_result() and generate_parameters(). Use onnx  as the intermediate representation ( But it cannot convert to pytorch model )

* add tensorflow cifar10 for network morphism

* add unit test for tuner and its function

* use temporary torch_model

* fix request bug and program can communicate nni

* add basic pickle support for graph and train successful in pytorch

* Update unittest for networkmorphism_tuner

* Network Morphism add multi-gpu trial training support

* Format code with black tool

* change intermediate representation from pickle file to json we defined

* successfully pass the unittest for test_graph_json_transform

* add README for network morphism and it works fine in both Pytorch and Keras.

* separate the original Readme.md in network-morphism into two parts (tuner and trial)

* change the openpai image path

* beautify the file structure of network_morphism and add a fashion_mnist keras example

* pretty the source and add some docstring for funtion in order to pass the pylint.

* remove unused module import and add some docstring

* add some details for the application scenario Network Morphism Tuner

* follow the advice and modify the doc file

* add the config file for each task in the examples trial of network morphism

* change default python interpreter from python to python3

* fix sdk's unittest and add medianstop, batchtuner to ci

* fix sdk's unittest and add medianstop, batchtuner to ci

* remove debug info

* update azure-pipelines

* remove useless code

* add some checks

* fix pylint

* update ci test

* update ci

* add pycharm project files to .gitignore list

* update pylintrc to conform vscode settings

* fix RemoteMachineMode for wrong trainingServicePlatform

* add python cache files to gitignore list

* move extract scalar reward logic from dispatcher to tuner

* update tuner code corresponding to last commit

* update doc for receive_trial_result api change

* add numpy to package whitelist of pylint

* distinguish param value from return reward for tuner.extract_scalar_reward

* update pylintrc

* add comments to dispatcher.handle_report_metric_data

* refactor extract reward from dict by tuner

* Rename get_parameters to get_next_parameter

* annotations add get_next_parameter

* updates

* updates

* updates

* updates

* updates

* Dev enas  - multi-phase hyper parameters support (#96)

* Multi-phase support

* Updates

* Updates

* updates

* updates

* updates

* Merge master to dev-enas (#117)

* Multi-phase support

* update document (#92)

* Edit readme.md

* updated a word

* Update GetStarted.md

* Update GetStarted.md

* refact readme, getstarted and write your trial md.

* Update README.md

* Update WriteYourTrial.md

* Update WriteYourTrial.md

* Update WriteYourTrial.md

* Update WriteYourTrial.md

* Fix nnictl bugs and add new feature (#75)

* fix nnictl bug

* fix nnictl create bug

* add experiment status logic

* add more information for nnictl

* fix Evolution Tuner bug

* refactor code

* fix code in updater.py

* fix nnictl --help

* fix classArgs bug

* update check response.status_code logic

* Updates

* remove Buffer warning (#100)

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* Updates

* updates

* updates

* updates

* Add support for debugging mode

* fix setup.py (#115)

* Add DAG model configuration format for SQuAD example.

* Explain config format for SQuAD QA model.

* Add more detailed introduction about the evolution algorithm.

* Merge master to dev-enas (#118)

* update document (#92)

* Edit readme.md

* updated a word

* Update GetStarted.md

* Update GetStarted.md

* refact readme, getstarted and write your trial md.

* Update README.md

* Update WriteYourTrial.md

* Update WriteYourTrial.md

* Update WriteYourTrial.md

* Update WriteYourTrial.md

* Fix nnictl bugs and add new feature (#75)

* fix nnictl bug

* fix nnictl create bug

* add experiment status logic

* add more information for nnictl

* fix Evolution Tuner bug

* refactor code

* fix code in updater.py

* fix nnictl --help

* fix classArgs bug

* update check response.status_code logic

* remove Buffer warning (#100)

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* Add support for debugging mode

* fix setup.py (#115)

* Add DAG model configuration format for SQuAD example.

* Explain config format for SQuAD QA model.

* Add more detailed introduction about the evolution algorithm.

* Fix install.sh add add trial log path (#109)

* fix nnictl bug

* fix nnictl create bug

* add experiment status logic

* add more information for nnictl

* fix Evolution Tuner bug

* refactor code

* fix code in updater.py

* fix nnictl --help

* fix classArgs bug

* update check response.status_code logic

* show trial log path

* update document

* fix install.sh

* set default vallue for maxTrialNum and maxExecDuration

* fix nnictl

* support multiPhase (#127)

* fix nnictl bug

* support multiPhase

* Fix multiphase datastore problem (#125)

* Fix multiphase datastore problem

* updates

* updates

* updates

* updates

* Pull latest code (#2)

* webui logpath and document (#135)

* Add webui document and logpath as a href

* fix tslint

* fix comments by Chengmin

* Pai training service bug fix and enhancement (#136)

* Add NNI installation scripts

* Update pai script, update NNI_out_dir

* Update NNI dir in nni sdk local.py

* Create .nni folder in nni sdk local.py

* Add check before creating .nni folder

* Fix typo for PAI_INSTALL_NNI_SHELL_FORMAT

* Improve annotation (#138)

* Improve annotation

* Minor bugfix

* Selectively install through pip (#139)

Selectively install through pip 
* update setup.py

* fix paiTrainingService bugs (#137)

* fix nnictl bug

* add hdfs host validation

* fix bugs

* fix dockerfile

* fix install.sh

* update install.sh

* fix dockerfile

* Set timeout for HDFSUtility exists function

* remove unused TODO

* fix sdk

* add optional for outputDir and dataDir

* refactor dockerfile.base

* Remove unused import in hdfsclientUtility

* Add documentation for NNI PAI mode experiment (#141)

* Add documentation for NNI PAI mode

* Fix typo based on PR comments

* Exit with subprocess return code of trial keeper

* Remove additional exit code

* Fix typo based on PR comments

* update doc for smac tuner (#140)

* Revert "Selectively install through pip (#139)" due to potential pip install issue (#142)

* Revert "Selectively install through pip (#139)"

This reverts commit 1d174836.

* Add exit code of subprocess for trial_keeper

* Update README, add link to PAImode doc

* fix bug (#147)

* Refactor nnictl and add config_pai.yml (#144)

* fix nnictl bug

* add hdfs host validation

* fix bugs

* fix dockerfile

* fix install.sh

* update install.sh

* fix dockerfile

* Set timeout for HDFSUtility exists function

* remove unused TODO

* fix sdk

* add optional for outputDir and dataDir

* refactor dockerfile.base

* Remove unused import in hdfsclientUtility

* add config_pai.yml

* refactor nnictl create logic and add colorful print

* fix nnictl stop logic

* add annotation for config_pai.yml

* add document for start experiment

* fix config.yml

* fix document

* Fix trial keeper wrongly exit issue (#152)

* Fix trial keeper bug, use actual exitcode to exit rather than 1

* Fix bug of table sort (#145)

* Update doc for PAIMode and v0.2 release notes (#153)

* Update v0.2 documentation regards to release note and PAI training service

* Update document to describe NNI docker image

* Bug fix for SQuAD example tuner. (#134)

* Update Makefile (#151)

* test

* update setup.py

* update Makefile and install.sh

* rever setup.py

* change color

* update doc

* update doc

* fix auto-completion's extra space

* update Makefile

* update webui

* Update doc image (#163)

* update doc

* trivial

* trivial

* trivial

* trivial

* trivial

* trivial

* update image

* update image size

* Update ga squad (#104)

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* update readme

* sklearn examples (#169)

* fix nnictl bug

* fix install.sh

* add sklearn-regression example

* add sklearn classification

* update sklearn

* update example

* remove additional code

* Update batch tuner (#158)

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* update readme

* update batch tuner

* Quickly fix cascading search space bug in tuner (#156)

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* update readme

* quickly fix cascading searchspace bug in tuner

* Add iterative search space example (#119)

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* update readme

* add iterative search space example

* update

* update readme

* change name

* updates

* updates

* Updates CI

* updates

* webui logpath and document (#135)

* Add webui document and logpath as a href

* fix tslint

* fix comments by Chengmin

* Pai training service bug fix and enhancement (#136)

* Add NNI installation scripts

* Update pai script, update NNI_out_dir

* Update NNI dir in nni sdk local.py

* Create .nni folder in nni sdk local.py

* Add check before creating .nni folder

* Fix typo for PAI_INSTALL_NNI_SHELL_FORMAT

* Improve annotation (#138)

* Improve annotation

* Minor bugfix

* Selectively install through pip (#139)

Selectively install through pip 
* update setup.py

* fix paiTrainingService bugs (#137)

* fix nnictl bug

* add hdfs host validation

* fix bugs

* fix dockerfile

* fix install.sh

* update install.sh

* fix dockerfile

* Set timeout for HDFSUtility exists function

* remove unused TODO

* fix sdk

* add optional for outputDir and dataDir

* refactor dockerfile.base

* Remove unused import in hdfsclientUtility

* Add documentation for NNI PAI mode experiment (#141)

* Add documentation for NNI PAI mode

* Fix typo based on PR comments

* Exit with subprocess return code of trial keeper

* Remove additional exit code

* Fix typo based on PR comments

* update doc for smac tuner (#140)

* Revert "Selectively install through pip (#139)" due to potential pip install issue (#142)

* Revert "Selectively install through pip (#139)"

This reverts commit 1d174836.

* Add exit code of subprocess for trial_keeper

* Update README, add link to PAImode doc

* Improve annotation

* Minor bugfix