GitLab

Designed new interface to support reusable training service, currently only applies to OpenPAI, and default disabled.

Replace trial_keeper.py to trial_runner.py, trial_runner holds an environment, and receives commands from nni manager to run or stop an trial, and return events to nni manager.
Add trial dispatcher, which inherits from original trianing service interface. It uses to share as many as possible code of all training service, and isolate with training services.
Add EnvironmentService interface to manage environment, including start/stop an environment, refresh status of environments.
Add command channel on both nni manager and trial runner parts, it supports different ways to pass messages between them. Current supported channels are file, web sockets. and supported commands from nni manager are start, kill trial, send new parameters; from runner are initialized(support some channel doesn't know which runner connected), trial end, stdout ((new type), including metric like before), version check (new type), gpu info (new type).
Add storage service to wrapper a storage to standard file operations, like NFS, azure storage and so on.
Partial support run multiple trials in parallel on runner side, but not supported by trial dispatcher side.
Other minor changes,

Add log_level to TS UT, so that UT can show debug level log.
Expose platform to start info.
Add RouterTrainingService to keep origianl OpenPAI training service, and support dynamic IOC binding.
Add more GPU info for future usage, including GPU mem total/free/used, gpu type.
Make some license information consistence.
Fix async/await problems on Array.forEach, this method doesn't support async actually.
Fix IT errors on download data, which causes by my #2484 .
Accelerate some run loop pattern by reducing sleep seconds.

* check pylint for nni_cmd

* fix id error

* init

* remove comments
Co-authored-by: SparkSnail <Administrator@MININT-27KBA7M.fareast.corp.microsoft.com>

remove `--user` to fix DLTS testing.

* update sklearn version

* updates

* update sklean version

* updates

* updates

* updates

* Refine gitignore

* add newline at the end

* add more environments

* Add example for EfficientNet and upgrade PyTorch in Dockerfile

* squash commits in v1.0 first round bug bash

* 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 sklearn in setup.py

* remove sklearn in doc for MetisTuner

* test python

* test python36

* debug python

* debug python

* debug

* python version

* test python

* debug

* install nni

* install nni

* test powershell

* debug python

* test

* test python

* use python

* test python

* test python

* test

* update

* test powershell

* debug python

* debug python

* debug python

* debug powershell

* debug

* debug

* debug install.ps1

* add continueOnError: true

* debug

* debug

* update

* update

* add unittest

* test node

* update

* update joi

* debug joi

* add joi

* debug joi

* Update install

* update

* update

* add unittest

* add convert command

* add example

* fix windows commands

* debug

* fix tensorflow version

* fix pipeline

* update

* add gpu logic in windows

* update

* update

* debug

* fix commands

* fix commands

* update

* update

* Fix comments

* update

* fix kill command

* fix package.json

* Update package.json

* Refactor runScript

* Fix bug

* Fix comments

* Fix execKill

* Update

* Update

* Add unittest back

* Rollback install node

* Fix gpu memory

* Update

* Rollback check process

* Update mnist-hyperband.test.yml

* Update pipelines-it-local-windows.yml

* Update uninstall.ps1

* Fix virtual environment

* Fix tar

* Fix isAlive

* change gpu index logic

* test gpu index

* fix pipeline

* add cifar10

* fix cifar10

* remove gpu in cifar10

* test mnist gpu

* update

* debug

* Fix comments

* debug

* Update install.ps1

* debug

* update gpu metrics shell

* debug

* debug

* debug

* debug

* debug

* debug sigbreak

* Preinstall node-pre-gyp

* Update Installation.md

* Update Installation.md

* Remove install node-pre-gyp

* use taskkill to stop node process

* use ctl+c event to stop process

* add sigtrem signal in stop logic

* add ctl+break command

* Update isAlive

* debug sigterm

* Update pypi readme

* Update

* fix stop logic

* fix pipeline, add cifar10

* revert mnist, remove gpu

* Fix virtualenv

* Fix comments

* Update

* Update

* Fix install

* Update install.ps1

* Update install.ps1

* Fix comments

* Fix virtualenv install

* Update

* Update

* Fix comments

* Update

* Update install.ps1

* Update

* Update localTrainingService.ts

* Update

* Update

* Update

* Update

* Update

* Update util.ts

* Update utils.ts

* Fix system slash

* Update tmp dir

* Fix system slash

* Use python3 in remote

* Write tar command to file

* Update tar

* Update

* Update

* Fix stop

* Update StopSignal type

* Add removeTrialJobMetricListener

* remove Listeners

* Update listener

* Update

* Use Temp dir

* Use Temp dir

* Add remote windows pipeline

* Update pipelines-it-remote-windows.yml

* Update

* remote build wheel

* Update pipelines-it-remote-windows.yml

* debug

* debug

* Use docker source install

* Update

* Update

* Rollback remote build wheel

* Use self node and yarn

* Fix docker source install

* Rollback Makefile

* Upgrade docker pip

* Update

* Update

* Remote build wheel

* Use inline runOptions

* Hide wget output

* Add continueOnError

* Update

* Update

* Update

* Upgrade pip

* Add chmod

* Update

* debug

* Update

* Use pscp

* Update

* Download putty

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* debug

* exclude metis

* Refactor pathJoin

* Update

* debug metis

* debug metis

* Update

* Update dependency

* Fix comments

* Update

* Fix tslint

* Fix comments

* Fix comments

* add doc

* Fix comments

* Update

* Update doc

* Update readme

Fix windows pypi pipeline and add win32 version

update version number

* Add build_version input for build pipeline
* Change time stamp to UTC time

add package requirement data in setup.py

Update nni docker image build process in build pipeline