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update dev-weight-sharing to latest master #391
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* fix port bug
* Exp stop refactor (#161) * Update RemoteMachineMode.md (#63) * Remove unused classes for SQuAD QA example. * Remove more unused functions for SQuAD QA example. * Fix default dataset config. * Add Makefile README (#64) * update document (#92) * Edit readme.md * updated a word * Update GetStarted.md * Update GetStarted.md * refact readme, getstarted and write your trial md. * Update README.md * Update WriteYourTrial.md * Update WriteYourTrial.md * Update WriteYourTrial.md * Update WriteYourTrial.md * Fix nnictl bugs and add new feature (#75) * 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 * remove Buffer warning (#100) * update readme in ga_squad * update readme * fix typo * Update README.md * Update README.md * Update README.md * Add support for debugging mode * fix setup.py (#115) * Add DAG model configuration format for SQuAD example. * Explain config format for SQuAD QA model. * Add more detailed introduction about the evolution algorithm. * Fix install.sh add add trial log path (#109) * 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 * Dev smac (#116) * support package install (#91) * fix nnictl bug * support package install * update * update package install logic * Fix package install issue (#95) * fix nnictl bug * fix pakcage install * support SMAC as a tuner on nni (#81) * update doc * update doc * update doc * update hyperopt installation * update doc * update doc * update description in setup.py * update setup.py * modify encoding * encoding * add encoding * remove pymc3 * update doc * update builtin tuner spec * support smac in sdk, fix logging issue * support smac tuner * add optimize_mode * update config in nnictl * add __init__.py * update smac * update import path * update setup.py: remove entry_point * update rest server validation * fix bug in nnictl launcher * support classArgs: optimize_mode * quick fix bug * test travis * add dependency * add dependency * add dependency * add dependency * create smac python package * fix trivial points * optimize import of tuners, modify nnictl accordingly * fix bug: incorrect algorithm_name * trivial refactor * for debug * support virtual * update doc of SMAC * update smac requirements * update requirements * change debug mode * update doc * update doc * refactor based on comments * fix comments * modify example config path to relative path and increase maxTrialNum (#94) * modify example config path to relative path and increase maxTrialNum * add document * support conda (#90) (#110) * support install from venv and travis CI * support install from venv and travis CI * support install from venv and travis CI * support conda * support conda * modify example config path to relative path and increase maxTrialNum * undo messy commit * undo messy commit * Support pip install as root (#77) * Typo on #58 (#122) * PAI Training Service implementation (#128) * 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. * fix datastore for multiple final result (#129) * Update NNI v0.2 release notes (#132) Update NNI v0.2 release notes * Update setup.py Makefile and documents (#130) * update makefile and setup.py * update makefile and setup.py * update document * update document * Update Makefile no travis * update doc * update doc * fix convert from ss to pcs (#133) * Fix bugs about webui (#131) * Fix webui bugs * Fix tslint * webui logpath and document (#135) * Add webui document and logpath as a href * fix tslint * fix comments by Chengmin * Pai training service bug fix and enhancement (#136) * Add NNI installation scripts * Update pai script, update NNI_out_dir * Update NNI dir in nni sdk local.py * Create .nni folder in nni sdk local.py * Add check before creating .nni folder * Fix typo for PAI_INSTALL_NNI_SHELL_FORMAT * Improve annotation (#138) * Improve annotation * Minor bugfix * Selectively install through pip (#139) Selectively install through pip * update setup.py * fix paiTrainingService bugs (#137) * fix nnictl bug * add hdfs host validation * fix bugs * fix dockerfile * fix install.sh * update install.sh * fix dockerfile * Set timeout for HDFSUtility exists function * remove unused TODO * fix sdk * add optional for outputDir and dataDir * refactor dockerfile.base * Remove unused import in hdfsclientUtility * Add documentation for NNI PAI mode experiment (#141) * Add documentation for NNI PAI mode * Fix typo based on PR comments * Exit with subprocess return code of trial keeper * Remove additional exit code * Fix typo based on PR comments * update doc for smac tuner (#140) * Revert "Selectively install through pip (#139)" due to potential pip install issue (#142) * Revert "Selectively install through pip (#139)" This reverts commit 1d17483. * Add exit code of subprocess for trial_keeper * Update README, add link to PAImode doc * Merge branch V0.2 to Master (#143) * webui logpath and document (#135) * Add webui document and logpath as a href * fix tslint * fix comments by Chengmin * Pai training service bug fix and enhancement (#136) * Add NNI installation scripts * Update pai script, update NNI_out_dir * Update NNI dir in nni sdk local.py * Create .nni folder in nni sdk local.py * Add check before creating .nni folder * Fix typo for PAI_INSTALL_NNI_SHELL_FORMAT * Improve annotation (#138) * Improve annotation * Minor bugfix * Selectively install through pip (#139) Selectively install through pip * update setup.py * fix paiTrainingService bugs (#137) * fix nnictl bug * add hdfs host validation * fix bugs * fix dockerfile * fix install.sh * update install.sh * fix dockerfile * Set timeout for HDFSUtility exists function * remove unused TODO * fix sdk * add optional for outputDir and dataDir * refactor dockerfile.base * Remove unused import in hdfsclientUtility * Add documentation for NNI PAI mode experiment (#141) * Add documentation for NNI PAI mode * Fix typo based on PR comments * Exit with subprocess return code of trial keeper * Remove additional exit code * Fix typo based on PR comments * update doc for smac tuner (#140) * Revert "Selectively install through pip (#139)" due to potential pip install issue (#142) * Revert "Selectively install through pip (#139)" This reverts commit 1d17483. * Add exit code of subprocess for trial_keeper * Update README, add link to PAImode doc * fix bug (#147) * Refactor nnictl and add config_pai.yml (#144) * fix nnictl bug * add hdfs host validation * fix bugs * fix dockerfile * fix install.sh * update install.sh * fix dockerfile * Set timeout for HDFSUtility exists function * remove unused TODO * fix sdk * add optional for outputDir and dataDir * refactor dockerfile.base * Remove unused import in hdfsclientUtility * add config_pai.yml * refactor nnictl create logic and add colorful print * fix nnictl stop logic * add annotation for config_pai.yml * add document for start experiment * fix config.yml * fix document * Fix trial keeper wrongly exit issue (#152) * Fix trial keeper bug, use actual exitcode to exit rather than 1 * Fix bug of table sort (#145) * Update doc for PAIMode and v0.2 release notes (#153) * Update v0.2 documentation regards to release note and PAI training service * Update document to describe NNI docker image * fix antd (#159) * refactor experiment stopping logic * support change concurrency * remove trialJobs.ts * trivial changes * fix bugs * fix bug * support updating maxTrialNum * Modify IT scripts for supporting multiple experiments * Update ci (#175) * Update RemoteMachineMode.md (#63) * Remove unused classes for SQuAD QA example. * Remove more unused functions for SQuAD QA example. * Fix default dataset config. * Add Makefile README (#64) * update document (#92) * Edit readme.md * updated a word * Update GetStarted.md * Update GetStarted.md * refact readme, getstarted and write your trial md. * Update README.md * Update WriteYourTrial.md * Update WriteYourTrial.md * Update WriteYourTrial.md * Update WriteYourTrial.md * Fix nnictl bugs and add new feature (#75) * 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 * remove Buffer warning (#100) * update readme in ga_squad * update readme * fix typo * Update README.md * Update README.md * Update README.md * Add support for debugging mode * modify CI cuz of refracting exp stop * update CI for expstop * update CI for expstop * update CI for expstop * update CI for expstop * update CI for expstop * update CI for expstop * update CI for expstop * update CI for expstop * update CI for expstop * file saving * fix issues from code merge * remove $(INSTALL_PREFIX)/nni/nni_manager before install * fix indent * fix merge issue * socket close * update port * fix merge error * modify ci logic in nnimanager * fix ci * fix bug * change suspended to done * update ci (#229) * update ci * update ci * update ci (#232) * update ci * update ci * update azure-pipelines * update azure-pipelines * update ci (#233) * update ci * update ci * update azure-pipelines * update azure-pipelines * update azure-pipelines * run.py (#238) * Nnupdate ci (#239) * run.py * test ci * Nnupdate ci (#240) * run.py * test ci * test ci * Udci (#241) * run.py * test ci * test ci * test ci * update ci (#242) * run.py * test ci * test ci * test ci * update ci * revert install.sh (#244) * run.py * test ci * test ci * test ci * update ci * revert install.sh * add comments * remove assert * trivial change * trivial change
* update Makefile * update Makefile
* update Makefile * update Makefile * add builtin-tuner test * add builtin-tuner test * refractor ci * update azure.yml * add built-in tuner test * fix bugs
* doc refactor * image name refactor
Refactor nnictl to support listing stopped experiments.
* add pycharm project files to .gitignore list * update pylintrc to conform vscode settings * fix RemoteMachineMode for wrong trainingServicePlatform
* fix bug about execDuration and endTime * modify time interval to 30 seconds * refactor based on Gems's suggestion * for triggering ci
* refactor Dockerfile
support tensorboard
* Rename get_parameters to get_next_parameter * annotations add get_next_parameter * updates * updates * updates * updates * updates
* fix paramiko install
* TGS salt example * updates * updates
* add pycharm project files to .gitignore list * update pylintrc to conform vscode settings * fix RemoteMachineMode for wrong trainingServicePlatform * add python cache files to gitignore list * move extract scalar reward logic from dispatcher to tuner * update tuner code corresponding to last commit * update doc for receive_trial_result api change * add numpy to package whitelist of pylint * distinguish param value from return reward for tuner.extract_scalar_reward * update pylintrc * add comments to dispatcher.handle_report_metric_data * refactor extract reward from dict by tuner
added License badge
* Update nnictl.py * modify help message for nnictl stop
* update doc for docker image * update
* 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 makefile * update launcher.py to fix the problem of finding main.js * remove duplicated lib
* 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 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
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'
Remove "RUN python3 -m pip --no-cache-dir install torch torchvision"
- Updated document for "write a trial" related fixes per Quanlu's feedback; - Fix wrong links in Get started per Meng's feedback.
#355) * Fix the issue#211: WebUI does not support search for a specific Trial * delete unuseful code * Update * default 20
* 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 "nnictl stop"
* Add more tooltip in default metric graph and fix bug * update
…branch (#382) * 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 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
* Asynchronous dispatcher * updates * updates * updates * updates
…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
* add gpuNum check for local TS * set CUDA_VISIBLE_DEVICES to empty string when gpuNum is 0 * remove redundency code
…ar (#388) * Use different output folder for ps and worker * Add cuda_visible_devices env var if gpuNum is 0
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will rebase leckie-chn/nni: dev-weight-sharing to Microsoft/nni: dev-weight-sharing later