NNI v1.9 Release

Release 1.9 - 10/22/2020

Major updates

Neural architecture search

• Support regularized evolution algorithm for NAS scenario (#2802)
• Add NASBench201 in search space zoo (#2766)

Model compression

• AMC pruner improvement: support resnet, support reproduction of the experiments (default parameters in our example code) in AMC paper (#2876 #2906)
• Support constraint-aware on some of our pruners to improve model compression efficiency (#2657)
• Support "tf.keras.Sequential" in model compression for TensorFlow (#2887)
• Support customized op in the model flops counter (#2795)
• Support quantizing bias in QAT quantizer (#2914)

Training service

• Support configuring python environment using "preCommand" in remote mode (#2875)
• Support AML training service in Windows (#2882)
• Support reuse mode for remote training service (#2923)

WebUI & nnictl

• The "Overview" page on WebUI is redesigned with new layout (#2914)
• Upgraded node, yarn and FabricUI, and enabled Eslint (#2894 #2873 #2744)
• Add/Remove columns in hyper-parameter chart and trials table in "Trials detail" page (#2900)
• JSON format utility beautify on WebUI (#2863)
• Support nnictl command auto-completion (#2857)

UT & IT

• Add integration test for experiment import and export (#2878)
• Add integration test for user installed builtin tuner (#2859)
• Add unit test for nnictl (#2912)

Documentation

• Refactor of the document for model compression (#2919)

Bug fixes

• Bug fix of naïve evolution tuner, correctly deal with trial fails (#2695)
• Resolve the warning "WARNING (nni.protocol) IPC pipeline not exists, maybe you are importing tuner/assessor from trial code?" (#2864)
• Fix search space issue in experiment save/load (#2886)
• Fix bug in experiment import data (#2878)
• Fix annotation in remote mode (python 3.8 ast update issue) (#2881)
• Support boolean type for "choice" hyper-parameter when customizing trial configuration on WebUI (#3003)