Release 1.3 - 12/30/2019

Major Features

Neural Architecture Search Algorithms Support

• Single Path One Shot algorithm and the example using it

Model Compression Algorithms Support

• Example: Knowledge Distillation algorithm and the example using it
• Pruners
  • L2Filter Pruner
  • ActivationAPoZRankFilterPruner
  • ActivationMeanRankFilterPruner
• BNN Quantizer

Training Service

• NFS Support for PAI

  Instead of using HDFS as default storage, since OpenPAI v0.11, OpenPAI can have NFS or AzureBlob or other storage as default storage. In this release, NNI extended the support for this recent change made by OpenPAI, and could integrate with OpenPAI v0.11 or later version with various default storage.

• Kubeflow update adoption
  Add support for zero gpuNum in kubernetes (#1830 | thanks to external contributor @skyser2003)
  Adopted the Kubeflow 0.7's new supports for tf-operator. (thanks to external contributor @skyser2003)

Engineering (code and build automation)

• Enforced ESLint on static code analysis.

Small changes & Bug Fixes

• correctly recognize builtin tuner and customized tuner
• logging in dispatcher base
• fix the bug where tuner/assessor's failure sometimes kills the experiment.
• Fix local system as remote machine issue
• de-duplicate trial configuration in smac tuner ticket