GitLab

* step 1 nnictl generate experimentId & merge folder

* step 2.1 modify .experiment structure

* step 2.2 add lock for .experiment rw in nnictl

* step 2.2 add filelock dependence

* step 2.2 remove uniqueString from main.js

* fix test bug

* fix test bug

* setp 3.1 add experiment manager

* step 3.2 add getExperimentsInfo

* fix eslint

* add a simple file lock to support stale

* step 3.3 add test

* divide abs experiment manager from manager

* experiment manager refactor

* support .experiment sync update status

* nnictl no longer uses rest api to update status or endtime

* nnictl no longer uses rest api to update status or endtime

* fix eslint

* support .experiment sync update endtime

* fix test

* fix settimeout bug

* fix test

* adjust experiment endTime

* separate simple file lock class

* modify name

* add 'id' in .experiment

* update rest api format

* fix eslint

* fix issue in comments

* fix rest api format

* add indent in json in experiments manager

* fix unittest

* fix unittest

* refector file lock

* fix eslint

* remove '__enter__' in filelock

* filelock support never expire
Co-authored-by: Ning Shang <nishang@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.

* skeleton of dlts training service (#1844)

* Hello, DLTS!

* Revert version

* Remove fs-extra

* Add some default cluster config

* schema

* fix

* Optional cluster (default to `.default`)

Depends on DLWorkspace#837

* fix

* fix

* optimize gpu type

* No more copy

* Format

* Code clean up

* Issue fix

* Add optional fields in config

* Issue fix

* Lint

* Lint

* Validate email, password and team

* Doc

* Doc fix

* Set TMPDIR

* Use metadata instead of gpu_capacity

* Cancel paused DLTS job

* workaround lint rules

* pylint

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

* update eslint rules
* auto fix eslint
* manually fix eslint (#1833)

* Refactoring local training service
* Designated GPU for local training service
* RemoteMachine designated GPU configuration

* Pull code (#22)

* Support distributed job for frameworkcontroller (#612)

support distributed job for frameworkcontroller

* Multiphase doc (#519)

* multiPhase doc

* updates

* updates

* Add time parser for 'nnictl update duration' (#632)

Current nnictl update duration only support seconds unit, add a parser for this command to support {s, m, h, d}

* fix experiment state bug (#629)

* update top README.md (#622)

* Update README.md

* update (#634)

* Integration tests refactoring (#625)

* Integration test refactoring (#21) (#616)

* Integration test refactoring (#21)

* Refactoring integration tests

* test metrics

* update azure pipeline

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* update trigger

* Integration test refactoring (#618)

* updates

* updates

* update pipeline (#619)

* update pipeline

* updates

* updates

* updates

* updates

* updates

* test pipeline (#623)

* test pipeline

* updates

* updates

* updates

* Update integration test (#624)

* Update integration test

* updates

* updates

* updates

* updates

* updates

* updates

* Revert "Pull code (#22)"

This reverts commit 62fc165ad7b2ba724eead3b99f010aa34491e2c7.

* Update nnimanager logs

* updates

* Update README.md

* Revert "Update README.md"

This reverts commit bc67061160e5d57305a6e7fb63d491d12d0e9002.

* updates

* updates

* Pull code (#22)

* Support distributed job for frameworkcontroller (#612)

support distributed job for frameworkcontroller

* Multiphase doc (#519)

* multiPhase doc

* updates

* updates

* Add time parser for 'nnictl update duration' (#632)

Current nnictl update duration only support seconds unit, add a parser for this command to support {s, m, h, d}

* fix experiment state bug (#629)

* update top README.md (#622)

* Update README.md

* update (#634)

* Integration tests refactoring (#625)

* Integration test refactoring (#21) (#616)

* Integration test refactoring (#21)

* Refactoring integration tests

* test metrics

* update azure pipeline

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* updates

* update trigger

* Integration test refactoring (#618)

* updates

* updates

* update pipeline (#619)

* update pipeline

* updates

* updates

* updates

* updates

* updates

* test pipeline (#623)

* test pipeline

* updates

* updates

* updates

* Update integration test (#624)

* Update integration test

* updates

* updates

* updates

* updates

* updates

* updates

* Revert "Pull code (#22)"

This reverts commit 62fc165ad7b2ba724eead3b99f010aa34491e2c7.

* Configurable nniManager log path

* Configure log level

* add --debug command line for nnictl

* updates

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.

* 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

* 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

Fix "nnictl stop"

* Change base image from devel to runtime, to reduce docker image size

* Support running multiple experiment for PAI

* Fix a bug regarding to recuisively reference between paiRestServer and
paiTrainingService

* fix nnictl bug

* fix nnictl create bug

* add experiment status logic

* add more information for nnictl

* fix Evolution Tuner bug

* refactor code

* fix code in updater.py

* fix nnictl --help

* fix classArgs bug

* update check response.status_code logic

* show trial log path

* update document

* fix install.sh

* set default vallue for maxTrialNum and maxExecDuration

* fix nnictl

* fix config path hint

* support multiPhase

* fix bash-completion

* refactor bash-completion

* add sklearn-regression

* add search_space

* fix bug

* fix install.sh

* refactor code

* remove unused code

* support multi experiments

* fix issues

* Support multiple experiments of nnictl (#183)

* fix nnictl bug

* fix nnictl create bug

* add experiment status logic

* add more information for nnictl

* fix Evolution Tuner bug

* refactor code

* fix code in updater.py

* fix nnictl --help

* fix classArgs bug

* update check response.status_code logic

* show trial log path

* update document

* fix install.sh

* set default vallue for maxTrialNum and maxExecDuration

* fix nnictl

* fix config path hint

* support multiPhase

* fix bash-completion

* refactor bash-completion

* add sklearn-regression

* add search_space

* fix bug

* fix install.sh

* refactor code

* remove unused code

* support multi experiments

* fix issues

* Let nni manager web server handle static content

* set nnictl stop require the port

* Support multiple experiments of nnictl (#183)

* fix nnictl bug

* fix nnictl create bug

* add experiment status logic

* add more information for nnictl

* fix Evolution Tuner bug

* refactor code

* fix code in updater.py

* fix nnictl --help

* fix classArgs bug

* update check response.status_code logic

* show trial log path

* update document

* fix install.sh

* set default vallue for maxTrialNum and maxExecDuration

* fix nnictl

* fix config path hint

* support multiPhase

* fix bash-completion

* refactor bash-completion

* add sklearn-regression

* add search_space

* fix bug

* fix install.sh

* refactor code

* remove unused code

* support multi experiments

* fix issues

* Let nni manager web server handle static content

* Dev multiple experiments (#189)

* fix nnictl bug

* fix nnictl create bug

* add experiment status logic

* add more information for nnictl

* fix Evolution Tuner bug

* refactor code

* fix code in updater.py

* fix nnictl --help

* fix classArgs bug

* update check response.status_code logic

* show trial log path

* update document

* fix install.sh

* set default vallue for maxTrialNum and maxExecDuration

* fix nnictl

* fix config path hint

* support multiPhase

* fix bash-completion

* refactor bash-completion

* add sklearn-regression

* add search_space

* fix bug

* fix install.sh

* refactor code

* remove unused code

* support multi experiments

* fix issues

* set nnictl stop require the port

* Update documents for supporting multiple experiments

* create a constant variable for 51188

* Fixed issue that WebUI can not refresh page

* Upgrade Node.js and Yarn to latest version

* 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