Release 0.8 - 6/4/2019

Major Features

• Support NNI on Windows for PAI/Remote mode

  • NNI running on windows for remote mode

  • NNI running on windows for PAI mode

• Advanced features for using GPU

  • Run multiple trial jobs on the same GPU for local and remote mode

  • Run trial jobs on the GPU running non-NNI jobs

• Kubeflow v1beta2 operator

  • Support Kubeflow TFJob/PyTorchJob v1beta2

• General NAS programming interface

  • Provide NAS programming interface for users to easily express their neural architecture search space through NNI annotation

  • Provide a new command nnictl trial codegen for debugging the NAS code

  • Tutorial of NAS programming interface, example of NAS on mnist, customized random tuner for NAS

• Support resume tuner/advisor's state for experiment resume

  • For experiment resume, tuner/advisor will be resumed by replaying finished trial data

• Web Portal

  • Improve the design of copying trial's parameters

  • Support 'randint' type in hyper-parameter graph

  • Use should ComponentUpdate to avoid unnecessary render

Bug fix and other changes

• Bug fix that nnictl update has inconsistent command styles

• Support import data for SMAC tuner

• Bug fix that experiment state transition from ERROR back to RUNNING

• Fix bug of table entries

• Nested search space refinement

• Refine 'randint' type and support lower bound

• Comparison of different hyper-parameter tuning algorithm

• Comparison of NAS algorithm

• NNI practice on Recommenders