GitLab

Add shell support for ssh connection, so that remote script can be started with user environment.

Minor fixes,

1. Fix gpu_metrics_collector to support pyenv. As pyenv will create one more process, so that original pgrep code always got extra processes, and cannot start gpu_metrics_collector.
2. Fix NASUI failure on dev-install-node-modules, to create subfolder every time.
3. Fix MakeFile to reduce mis-created links, and other minor issues.
4. Add node --watch for nni_manager for better dev experience.

* enable eslint

* remove tslint

* swith to eslint

* upgrade version of nni dependencies

* fix local and remote training services tslint

* fs's API changed

* fix version

* roll back utils

Unit test for nnimanager

* fix remote bug

* add document

* add document

* update

* update

* update

* update

* fix remote issue

* fix forEach

* update doc according to comments

* update

* update

* update

* remove 'any more'

* add base version for remote-log

* change launcher.py

* test

* basic version

* debug

* debug

* basic work version

* fix code

* update disable_log

* remove unused line

* add diable log in kubernetesTrainingService

* add detect frameworkcontroller

* fix comment

* update

* update

* fix kubernetesData

* debug

* debug

* debug

* fix comment

* fix conflict

* remove local temp files

* revert launcher.py

* update code by comments

* remove disableLog

* remove disable Log

* set timeout for cleanup

* fix code by comments

* update variable names

* add comments

* add delay function

* update

* update

* update by comments

* add  in remote script path

* rename variables

* update variable name

* add mkdir -p for subfolder

* Add UT code coverage report

* updates

* updates

* updates

* updates

* updates

* updates

* integration test python code coverage report

* 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

* Dockerfile improvement

* Fix UT broken for kubeflow training service

rest api of kubernetes does not use base64 to encode chars, now use base64 to encode username and then create secret.

[Kubeflow training service] Use Kubernete API server to replace kubectl dependency

Support aks of kuberflow training service
Support nnictl set nniManagerIp

* update Makefile for mac support, wait for aka.ms support

* refix Makefile for colorful echo

* update Makefile with shorturl

* fix false fail on mac webui

* fix cross os remote tmpdir issue

* add readonly to RemoteMachineTrainingService.remoteOS

* fix var name for PR 386

* Kubeflow TrainingService support, v1 (#373)

1. Create new Training Service: kubeflow trainning service, use 'kubectl' and kubeflow tfjobs CRD to submit and manage jobs
2. Update nni python SDK to support new kubeflow platform
3. Update nni python SDK's get_sequende_id() implementation, read NNI_TRIAL_SEQ_ID env variable, instead of reading .nni/sequence_id file
4. This version only supports Tensorflow operator. Will add more operators' support in future versions

* PAI Training service implementation
**1. Implement PAITrainingService
**2. Add trial-keeper python module, and modify setup.py to install the module
**3. Add PAItrainingService rest server to collect metrics from PAI container.

* Merge latest code changes into Github Master

* temporary modification for travis

* temporary modification for travis

* Improve Makefile

* Bugfix

* Add make target for remote machine workers

* Update travis config

* Debug travis

* Debug travis

* Debug travis

* Debug travis

* Debug travis

* Debug travis

* Debug travis

* Install bash completion script