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OpenDAS
nni
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649ee597
"test/vscode:/vscode.git/clone" did not exist on "793eeab8745e17faac6ba0df85ceca39c9c20782"
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649ee597
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Jan 14, 2021
by
kvartet
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GitHub
Jan 14, 2021
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Add release note for v2.0 (#3291)
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66305ea6
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docs/en_US/Release.rst
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@@ -5,6 +5,84 @@
ChangeLog
=========
Release 2.0 - 13/1/2021
=======================
Major updates
-------------
Neural architecture search
^^^^^^^^^^^^^^^^^^^^^^^^^^
* Support an improved NAS framework: Retiarii (experimental)
* Feature roadmap (`issue #3301 <https://github.com/microsoft/nni/issues/3301>`__)
* `Related issues and pull requests <https://github.com/microsoft/nni/issues?q=label%3Aretiarii-v2.0>`__
* Documentation (#3221 #3282 #3287)
* Support a new NAS algorithm: Cream (#2705)
* Add a new NAS benchmark for NLP model search (#3140)
Training service
^^^^^^^^^^^^^^^^
* Support hybrid training service (#3097 #3251 #3252)
* Support AdlTrainingService, a new training service based on Kubernetes (#3022, thanks external contributors Petuum @pw2393)
Model compression
^^^^^^^^^^^^^^^^^
* Support pruning schedule for fpgm pruning algorithm (#3110)
* ModelSpeedup improvement: support torch v1.7 (updated graph_utils.py) (#3076)
* Improve model compression utility: model flops counter (#3048 #3265)
WebUI & nnictl
^^^^^^^^^^^^^^
* Support experiments management on WebUI, add a web page for it (#3081 #3127)
* Improve the layout of overview page (#3046 #3123)
* Add navigation bar on the right for logs and configs; add expanded icons for table (#3069 #3103)
Others
^^^^^^
* Support launching an experiment from Python code (#3111 #3210 #3263)
* Refactor builtin/customized tuner installation (#3134)
* Support new experiment configuration V2 (#3138 #3248 #3251)
* Reorganize source code directory hierarchy (#2962 #2987 #3037)
* Change SIGKILL to SIGTERM in local mode when cancelling trial jobs (#3173)
* Refector hyperband (#3040)
Documentation
-------------
* Port markdown docs to reStructuredText docs and introduce ``githublink`` (#3107)
* List related research and publications in doc (#3150)
* Add tutorial of saving and loading quantized model (#3192)
* Remove paiYarn doc and add description of ``reuse`` config in remote mode (#3253)
* Update EfficientNet doc to clarify repo versions (#3158, thanks external contributor @ahundt)
Bug fixes
---------
* Fix exp-duration pause timing under NO_MORE_TRIAL status (#3043)
* Fix bug in NAS SPOS trainer, apply_fixed_architecture (#3051, thanks external contributor @HeekangPark)
* Fix ``_compute_hessian`` bug in NAS DARTS (PyTorch version) (#3058, thanks external contributor @hroken)
* Fix bug of conv1d in the cdarts utils (#3073, thanks external contributor @athaker)
* Fix the handling of unknown trials when resuming an experiment (#3096)
* Fix bug of kill command under Windows (#3106)
* Fix lazy logging (#3108, thanks external contributor @HarshCasper)
* Fix checkpoint load and save issue in QAT quantizer (#3124, thanks external contributor @eedalong)
* Fix quant grad function calculation error (#3160, thanks external contributor @eedalong)
* Fix device assignment bug in quantization algorithm (#3212, thanks external contributor @eedalong)
* Fix bug in ModelSpeedup and enhance UT for it (#3279)
* and others (#3063 #3065 #3098 #3109 #3125 #3143 #3156 #3168 #3175 #3180 #3181 #3183 #3203 #3205 #3207 #3214 #3216 #3219 #3223 #3224 #3230 #3237 #3239 #3240 #3245 #3247 #3255 #3257 #3258 #3262 #3263 #3267 #3269 #3271 #3279 #3283 #3289 #3290 #3295)
Release 1.9 - 10/22/2020
========================
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