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trial job could not be stopped in remote machine when experiment is stopped, because awit/async does not work normally in forEach, refer https://codeburst.io/javascript-async-await-with-foreach-b6ba62bbf404.

* Adding related projects to Readme

merge master

* Add UT code coverage report

* updates

* updates

* updates

* updates

* updates

* updates

* integration test python code coverage report

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* update readme

* update

* fix path

* update reference

* fix bug in config file

* update nni_arch_overview.png

* update

* update

* update

* add enas_nni

* fix incorrect document

* fix doc format and typo

merge master

[Logging architecture refactor] Remove unused metrics related code in nni trial_tools, support kubeflow mode for logging architecture refactor (#551)

* Remove unused metrics related code in nni trial_tools, support kubeflow mode for logging architecture refactor

* [WebUI] Fix issue#517 & issue#459

* update

* Removed unused log code, refactor to rename some class name in nni sdk and trial_tools

* Fix the regression bug that loca/remote mode doesnt work

merge master

* 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 remote bug (#523)

Remote TrainingService, passwd is not required when users set sshKeyPath.

Add frameworkcontroller training service based on kubeflow training service.
Refactor code structure, add kubernetes training service as father class, and set kubeflow training service and frameworkcontroller training service as child class.

* Fix IPC unit test

* updates

* Dockerfile improvement

* Fix UT broken for kubeflow training service

* 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

* Update nnictl.py

Fix the issue that nnictl --version via pip installation doesn't work

* Update kubeflow training service document (#494)

* Remove kubectl related document, add messages for kubeconfig
* Add design section for kubeflow training service
* Move the image files for PAI training service doc into img folder.

* Update KubeflowMode.md (#498)

Update KubeflowMode.md, small terms change

* [V0.4.1 bug fix] Cannot run kubeflow training service due to trial_keeper change (#503)

* Update kubeflow training service document

* fix bug a that kubeflow trial job cannot run

* upgrade version number (#499)

* [V0.4.1 bug fix] Support read K8S config from KUBECONFIG environment variable (#507)

* Add KUBCONFIG env variable support

* In main.ts, throw cached error to make sure nnictl can show the error in stderr