diff --git a/README.md b/README.md index 7b67efc1ce..e9c4cefc61 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ The tool manages automated machine learning (AutoML) experiments, **dispatches a * Researchers and data scientists who want to easily **implement and experiment new AutoML algorithms**, may it be: hyperparameter tuning algorithm, neural architect search algorithm or model compression algorithm. * ML Platform owners who want to **support AutoML in their platform**. -### **[NNI v1.5 has been released!](https://github.com/microsoft/nni/releases)  ** +### **[NNI v1.6 has been released!](https://github.com/microsoft/nni/releases)  ** ## **NNI capabilities in a glance** @@ -239,7 +239,7 @@ The following example is built on TensorFlow 1.x. Make sure **TensorFlow 1.x is * Download the examples via clone the source code. ```bash - git clone -b v1.5 https://github.com/Microsoft/nni.git + git clone -b v1.6 https://github.com/Microsoft/nni.git ``` * Run the MNIST example. diff --git a/docs/en_US/Release.md b/docs/en_US/Release.md index ab7ed18ff1..6a23b5c3f4 100644 --- a/docs/en_US/Release.md +++ b/docs/en_US/Release.md @@ -1,5 +1,46 @@ # ChangeLog +## Release 1.6 - 5/26/2020 + +### Major Features + +#### New Features and improvement +* Improve IPC limitation to 100W +* improve code storage upload logic among trials in non-local platform +* support `__version__` for SDK version +* support windows dev intall + +#### Web UI +* Show trial error message +* finalize homepage layout +* Refactor overview's best trials module +* Remove multiphase from webui +* add tooltip for trial concurrency in the overview page +* Show top trials for hyper-parameter graph + +#### HPO Updates +* Improve PBT on failure handling and support experiment resume for PBT + +#### NAS Updates +* NAS support for TensorFlow 2.0 (preview) [TF2.0 NAS examples](https://github.com/microsoft/nni/tree/master/examples/nas/naive-tf) +* Use OrderedDict for LayerChoice +* Prettify the format of export +* Replace layer choice with selected module after applied fixed architecture + +#### Model Compression Updates +* Model compression PyTorch 1.4 support + +#### Training Service Updates +* update pai yaml merge logic +* support windows as remote machine in remote mode [Remote Mode](https://github.com/microsoft/nni/blob/master/docs/en_US/TrainingService/RemoteMachineMode.md#windows) + +### Bug Fix +* fix dev install +* SPOS example crash when the checkpoints do not have state_dict +* Fix table sort issue when experiment had failed trial +* Support multi python env (conda, pyenv etc) + + ## Release 1.5 - 4/13/2020 ### New Features and Documentation