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The method used is QAT, not DoReFa, the annotation is wrong.

Bumps [lodash](https://github.com/lodash/lodash) from 4.17.14 to 4.17.19.
- [Release notes](https://github.com/lodash/lodash/releases)
- [Commits](https://github.com/lodash/lodash/compare/4.17.14...4.17.19

)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Bumps [npm-registry-fetch](https://github.com/npm/registry-fetch) from 4.0.2 to 4.0.5.
- [Release notes](https://github.com/npm/registry-fetch/releases)
- [Changelog](https://github.com/npm/npm-registry-fetch/blob/latest/CHANGELOG.md)
- [Commits](https://github.com/npm/registry-fetch/commits

)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Co-authored-by: liuzhe <zhe.liu@microsoft.com>

Co-authored-by: Chi Song <chisongg@example.com>

If all the conv layers in the same dependency set
are not pruned, we need to skip this dependency set.
Signed-off-by: Ningxin <Ningxin.Zheng@microsoft.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.

* Adding NAS Benchmark (201)

* Add missing endline

* Update script

* Draft for NAS-Bench-101

* Update NAS-Bench-101

* Update constants

* Add API

* Update API

* Fix typo

* Draft for NDS

* Fix issues in storing loss

* Fix cell_spec problem

* Finalize NDS

* Update time consumption

* Add nds query function

* Update documentation for NAS-Bench-101

* Reformat generators

* Add NAS-Bench-201 docs

* Unite constant names

* Update docstring

* Update docstring

* Update rst

* Update scripts

* Add git as dependency

* Apt update

* Update installation scripts

* Fix dependency for pipeline

* Fix NDS script

* Fix NAS-Bench-201 installation

* Add example notebook

* Correct latency dimension

* shortcuts -> query

* Change run -> trial, ComputedStats -> TrialStats

* ipynb needs re-generation

* Fix NAS rst

* Fix documentation and pylint

* Fix pylint

* Add pandoc as dependency

* Update pandoc dependency

* Fix documentation broken link

* Fix NASUI bugs

* Add pipeline for NASUI

* update log

* Move graph utils test to test folder