GitLab

* add gpuNum check for local TS

* set CUDA_VISIBLE_DEVICES to empty string when gpuNum is 0

* remove redundency code

[Kubeflow training service] Update kubeflow exp job config schema to support distributed training (#387)

* Support distributed training on tf-operator, for worker and ps

* Update validation rule for kubeflow config

* small code refactor adjustment for private methods

* Use different output folder for ps and worker

* Asynchronous dispatcher

* updates

* updates

* updates

* updates

* fix sdk's unittest and add medianstop, batchtuner to ci

* fix sdk's unittest and add medianstop, batchtuner to ci

* remove debug info

* update azure-pipelines

* remove useless code

* add some checks

* fix pylint

* update ci test

* update ci

* 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

* Add more tooltip in default metric graph and fix bug

* update

Fix "nnictl stop"

* add gridsearch tuner

* add gridsearchtuner

* add gridsearchtuner

* add gridsearchtuner

* update gridsearch tuner

* update gridsearch tuner

* update gridsearch tuner

* update gridsearch tuner

* update gridsearch tuner

* update gridsearch tuner

* update gridsearch tuner

* update gridsearch and pylint

* Fix the issue#211: WebUI does not support search for a specific Trial

* delete unuseful code

* Update

* default 20

- Updated document for "write a trial" related fixes per Quanlu's feedback;
- Fix wrong links in Get started per Meng's feedback.

Remove "RUN python3 -m pip --no-cache-dir install torch torchvision"

1.Set scikit-learn==0.20.0 in Dockerfile
2.Update readme.md of dockerile
3.Add PyTorch 0.4.1
4.Add description for 'nnictl stop all'

* update local demo doc and configuration

* change folder name

* Update tutorial_1_CR_exp_local_api.md

no need to have a new training file

* Delete mnist_gpu.py

no need to have a new training file

* Update config_gpu.yml

no need to have a new training file

* add PyTorch to Dockerfile

* update local demo doc and configuration

* change folder name

* Update tutorial_1_CR_exp_local_api.md

no need to have a new training file

* Delete mnist_gpu.py

no need to have a new training file

* Update config_gpu.yml

no need to have a new training file

* update makefile

* update launcher.py to fix the problem of finding main.js

* remove duplicated lib

* 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

* update doc for docker image

* update

* Update nnictl.py

* modify help message for nnictl stop

* Fix pypi package missing python module

* Fix pypi package missing python module

* fix bug in smartparam example (#322)

* Fix nnictl update trialnum and document (#326)

1.Fix restful server of update
2.Update nnictl document of update
3.Add tensorboard in docement

* Update the version numbers from 0.3.2 to 0.3.3

* Update examples (#331)

* update mnist-annotation

* fix mnist-annotation typo

* update mnist example

* update mnist-smartparam

* update mnist-annotation

* update mnist-smartparam

* change learning rate

* update mnist assessor maxTrialNum

* update examples

* update examples

* update maxTrialNum

* fix breaking path in config_assessor.yml

* fix bug in nnimanager (#341)

Fix nnictl stop logic
Fix localTrainingService cancelJob logic
Show port information in "nnictl experiment list" cmd.
Show more information when config file validate failed.
Add nnictl detect adjacent port logic if the platform is pai

* Add error message when experiment error

* delete unuseful code

* Fix bug of bgcolor when experiment status is running

* Fix pypi package missing python module

* Fix pypi package missing python module

* fix bug in smartparam example (#322)

* Fix nnictl update trialnum and document (#326)

1.Fix restful server of update
2.Update nnictl document of update
3.Add tensorboard in docement

* Update the version numbers from 0.3.2 to 0.3.3

* Update examples (#331)

* update mnist-annotation

* fix mnist-annotation typo

* update mnist example

* update mnist-smartparam

* update mnist-annotation

* update mnist-smartparam

* change learning rate

* update mnist assessor maxTrialNum

* update examples

* update examples

* update maxTrialNum

* fix breaking path in config_assessor.yml

broken link
wrong step
refine wording

* Fix pypi package missing python module

* Fix pypi package missing python module

* fix bug in smartparam example (#322)

* Fix nnictl update trialnum and document (#326)

1.Fix restful server of update
2.Update nnictl document of update
3.Add tensorboard in docement

* Update the version numbers from 0.3.2 to 0.3.3

as the title

update v0.3.0 release note

* update doc

* update

* update

* update

* add logo

* logo

* logo

* update

* update installation doc