GitLab

Change pai to OpenPAI
reformat for translation
fix some typo.
rewording.

fix indents of doc,
change nni to NNI
yaml to yml(file) and YAML(doc)

Fix document with formats and typos

* 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

* update ga_squad experiment example on pai

* Update config_pai.yml

* Update README.md

* Update config_pai.yml

* Update README.md

* Update README.md

* Update README.md

Fix a spelling bug that may cause confuse

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* update readme