"examples/model_compress/vscode:/vscode.git/clone" did not exist on "6126960c57919dc71237609c76c2d0449834c24c"
  1. 27 Dec, 2018 1 commit
  2. 20 Dec, 2018 1 commit
    • 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
  3. 13 Dec, 2018 1 commit
    • 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
  4. 07 Dec, 2018 1 commit
  5. 05 Dec, 2018 3 commits
  6. 04 Dec, 2018 1 commit
  7. 30 Nov, 2018 1 commit
  8. 29 Nov, 2018 1 commit