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Co-authored-by: Scarlett Li <39592018+scarlett2018@users.noreply.github.com>
Co-authored-by: Yuge Zhang <Yuge.Zhang@microsoft.com>

Co-authored-by: QuanluZhang <z.quanluzhang@gmail.com>

* fix typo in training service doc

* modify local mode doc

* modify customized tuner doc

* fix lint

* fix typo

* remove indent

* remove install customized tuner doc

* fix typo

* fix typo

* Replace all v1.7 with v1.8

* Add v1.8 release note

* Change PAI into OpenPAI

* Update Release.md

* Refine relase note

* Update date of release
Co-authored-by: QuanluZhang <z.quanluzhang@gmail.com>

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.

* Improve docs

* All using # to start

* uploaded -> excluded

* Set versionCheck default to true

* Add .nniignore example

* Rename training service docs

* Update training service docs

* Fix step numbering

* Resolve comments

* Fix typo

* Resolve comments

* Fix broken link