Dev networkmorphism (#413)

[SparkSnail]

• Quick fix nnictl config logic (merge master #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 (merge master #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 (merge master #288)

added License badge

• merge

• updated the "Contribute" part (merged Gems' wiki in, updated ReadMe)

• fix link

• fix doc mistakes and broken links. (merge master #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 (Merge master #292)

• Fix datastore performance issue (merge master #301)

• Fix nnictl in v0.3 (merge master #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