1. 29 Dec, 2018 3 commits
  2. 26 Dec, 2018 2 commits
    • Zejun Lin's avatar
      Add ut to ci & Fix some ut & Add some testcase (#491) · 892d3c1e
      Zejun Lin authored
      * fix bug
      
      * add docs
      
      * add ut
      
      * add ut
      
      * add to ci
      
      * update doc
      
      * update doc
      
      * update ut
      
      * add ut to ci
      
      * add ut to ci
      
      * add ut to ci
      
      * add ut to ci
      
      * add ut to ci
      
      * add ut to ci
      
      * add ut to ci
      
      * add ut to ci
      
      * test
      
      * test
      
      * test
      
      * test
      
      * test
      
      * test
      
      * test
      
      * test
      
      * test
      
      * test
      
      * revert
      
      * refactor
      
      * refactor
      
      * s
      
      * merge
      892d3c1e
    • goooxu's avatar
      Add yarn tslint command (#518) · b554fe80
      goooxu authored
      b554fe80
  3. 25 Dec, 2018 2 commits
    • SparkSnail's avatar
      fix remote bug (#523) · 1bc23f4f
      SparkSnail authored
      Remote TrainingService, passwd is not required when users set sshKeyPath.
      1bc23f4f
    • SparkSnail's avatar
      support frameworkcontroller training service (#484) · 36dbc0fe
      SparkSnail authored
      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.
      36dbc0fe
  4. 21 Dec, 2018 8 commits
  5. 20 Dec, 2018 3 commits
    • Zejun Lin's avatar
      Update annotation to support displaying real choice in searchspace (#471) · 5461fe77
      Zejun Lin authored
      * fix-annotation
      
      * fix annotation for error printing
      
      * update annotation
      
      * update annotation
      
      * update annotation
      
      * update annotation
      
      * update unittest for annotation
      
      * update unit test
      
      * update annotation
      
      * update annotation
      
      * update annotation
      
      * update ut
      
      * update ut
      5461fe77
    • fishyds's avatar
      [V0.4.1 Release] Merge v0.4.1 branch back to Master (#509) · ff834cea
      fishyds authored
      * 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
      ff834cea
    • ShufanHuang's avatar
      Add curve fitting assessor (#481) · 102faea1
      ShufanHuang authored
      * Add curve fitting assessor
      
      * Update HowToChooseTuner.md
      
      * Update HowToChooseTuner.md
      
      * Update HowToChooseTuner.md
      
      * Update README.md
      
      * Update README.md
      
      * Update README.md
      
      * Update HowToChooseTuner.md
      
      * Update HowToChooseTuner.md
      
      * Update HowToChooseTuner.md
      
      * Update HowToChooseTuner.md
      
      * Update curvefitting_assessor.py
      
      * Update config_schema.py
      
      * Add some comments and modifications
      
      * Remove unnecessary .json file
      
      * Remove unnecessary .lock file
      
      * Revert "Remove unnecessary .lock file"
      
      This reverts commit cdfaacb29114b3dee9c797d3e9b46ee18d7d34cc.
      
      * Revert "Revert "Remove unnecessary .lock file""
      
      This reverts commit 7182a5fb31a02b01684429eabb3347952bf7ce2a.
      
      * Revert "Revert "Revert "Remove unnecessary .lock file"""
      
      This reverts commit 0f010e2b508e9f7b34c809647ba09e4e132876d8.
      
      * Revert "Remove unnecessary .json file"
      
      This reverts commit c6f7b47c199dd0db7ccb850d4f2ac1fd97b0caf8.
      
      * Revert "Add some comments and modifications"
      
      This reverts commit f78f055df9a4eec5b433a9241ce93d8ba78e3500.
      
      * Add some modifications by comments
      
      * suppoort minimize mode
      
      * Update README.md
      
      * Update README.md
      
      * Update modelfactory.py
      
      * minor changes and fix typo
      
      * minor chages
      
      * update README.md
      102faea1
  6. 19 Dec, 2018 1 commit
  7. 18 Dec, 2018 4 commits
  8. 17 Dec, 2018 6 commits
  9. 14 Dec, 2018 2 commits
  10. 13 Dec, 2018 3 commits
    • fishyds's avatar
      [Kubeflow training service] Use Kubernete API server to replace kubectl dependency (#472) · d8e55165
      fishyds authored
      [Kubeflow training service] Use Kubernete API server to replace kubectl dependency
      d8e55165
    • SparkSnail's avatar
      Support 'nnictl top' (#464) · 07e19a30
      SparkSnail authored
      Add nnictl top command to monitor the nni experiments.
      07e19a30
    • Lee's avatar
      Dev networkmorphism (#413) · e31839cc
      Lee authored
      * Quick fix nnictl config logic (#289)
      
      * fix nnictl bug
      
      * fix install.sh
      
      * add desc for Dockerfile.build.base
      
      * update document for Dockerfile
      
      * update
      
      * refactor port detect
      
      * update
      
      * refactor NNICTLDOC.md
      
      * add document for pai and nnictl
      
      * add default value for port
      
      * add exception handling in trial_keeper.py
      
      * fix port bug
      
      * fix resume
      
      * fix nnictl resume and fix nnictl stop
      
      * fix document
      
      * update
      
      * refactor nnictl
      
      * update
      
      * update doc
      
      * update
      
      * update nnictl
      
      * fix comment
      
      * revert dockerfile
      
      * update
      
      * update
      
      * update
      
      * fix nnictl error hit
      
      * fix comments
      
      * fix bash-completion
      
      * fix paramiko install
      
      * quick fix resume logic
      
      * update
      
      * quick fix nnictl
      
      * PR merge to 0.3 (#297)
      
      * refactor doc
      
      * update with Mao's suggestions
      
      * Set theme jekyll-theme-dinky
      
      * update doc
      
      * fix links
      
      * fix links
      
      * fix links
      
      * merge
      
      * fix links and doc errors
      
      * merge
      
      * merge
      
      * merge
      
      * merge
      
      * Update README.md (#288)
      
      added License badge
      
      * merge
      
      * updated the "Contribute" part (merged Gems' wiki in, updated ReadMe)
      
      * fix link
      
      * fix doc mistakes and broken links. (#271)
      
      * refactor doc
      
      * update with Mao's suggestions
      
      * Set theme jekyll-theme-dinky
      
      * updated the "Contribute" part (merged Gems' wiki in, updated ReadMe)
      
      * fix link
      
      * Update README.md
      
      * Fix misspelling in examples/trials/ga_squad/README.md
      
      * revise the installation cmd to v0.2
      
      * revise to install v0.2
      
      * remove enas readme (#292)
      
      * Fix datastore performance issue (#301)
      
      * Fix nnictl in v0.3 (#299)
      
      Fix old version of config file
      fix sklearn requirements
      Fix resume log logic
      
      * add basic tuner and trial for network morphism
      
      * Complete basic receive_trial_result() and generate_parameters(). Use onnx  as the intermediate representation ( But it cannot convert to pytorch model )
      
      * add tensorflow cifar10 for network morphism
      
      * add unit test for tuner and its function
      
      * use temporary torch_model
      
      * fix request bug and program can communicate nni
      
      * add basic pickle support for graph and train successful in pytorch
      
      * Update unittest for networkmorphism_tuner
      
      * Network Morphism add multi-gpu trial training support
      
      * Format code with black tool
      
      * change intermediate representation from pickle file to json we defined
      
      * successfully pass the unittest for test_graph_json_transform
      
      * add README for network morphism and it works fine in both Pytorch and Keras.
      
      * separate the original Readme.md in network-morphism into two parts (tuner and trial)
      
      * change the openpai image path
      
      * beautify the file structure of network_morphism and add a fashion_mnist keras example
      
      * pretty the source and add some docstring for funtion in order to pass the pylint.
      
      * remove unused module import and add some docstring
      
      * add some details for the application scenario Network Morphism Tuner
      
      * follow the advice and modify the doc file
      
      * add the config file for each task in the examples trial of network morphism
      
      * change default python interpreter from python to python3
      e31839cc
  11. 11 Dec, 2018 2 commits
  12. 10 Dec, 2018 3 commits
  13. 07 Dec, 2018 1 commit