Update release note and version number (#4471)

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@ -25,7 +25,7 @@ The tool manages automated machine learning (AutoML) experiments, **dispatches a
## **What's NEW!** &nbsp;<a href="#nni-released-reminder"><img width="48" src="docs/img/release_icon.png"></a>
* **New release**: [v2.5 is available](https://github.com/microsoft/nni/releases/tag/v2.5) - _released on Nov-04-2021_
* **New release**: [v2.6 is available](https://github.com/microsoft/nni/releases/tag/v2.6) - _released on Jan-19-2022_
* **New demo available**: [Youtube entry](https://www.youtube.com/channel/UCKcafm6861B2mnYhPbZHavw) | [Bilibili 入口](https://space.bilibili.com/1649051673) - _last updated on May-26-2021_
* **New webinar**: [Introducing Retiarii: A deep learning exploratory-training framework on NNI](https://note.microsoft.com/MSR-Webinar-Retiarii-Registration-Live.html) - _scheduled on June-24-2021_
* **New community channel**: [Discussions](https://github.com/microsoft/nni/discussions)
@ -253,7 +253,7 @@ Note:
* Download the examples via clone the source code.
```bash
git clone -b v2.5 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
```
* Run the MNIST example.

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@ -21,7 +21,7 @@ NNI 管理自动机器学习 (AutoML) 的 Experiment**调度运行**由调优
## **最新消息!** &nbsp;[<img width="48" src="docs/img/release_icon.png" />](#nni-released-reminder)
* **最新版本**[v2.5 已发布](https://github.com/microsoft/nni/releases/tag/v2.5) - *2021年11月04日*
* **最新版本**[v2.6 已发布](https://github.com/microsoft/nni/releases/tag/v2.6) - *2022年1月19日*
* **最新视频 demo**[Youtube 入口](https://www.youtube.com/channel/UCKcafm6861B2mnYhPbZHavw) | [Bilibili 入口](https://space.bilibili.com/1649051673) - *上次更新2021年5月26日*
* **最新网络研讨会**: [介绍RetiariiNNI 上的深度学习探索性训练框架](https://note.microsoft.com/MSR-Webinar-Retiarii-Registration-Live.html) - *2021年6月24日*
* **最新互动渠道**: [Discussions](https://github.com/microsoft/nni/discussions)
@ -249,7 +249,7 @@ Linux 和 macOS 下 NNI 系统需求[参考这里](https://nni.readthedocs.io/zh
* 通过克隆源代码下载示例。
```bash
git clone -b v2.5 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
```
* 运行 MNIST 示例。

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@ -5,6 +5,89 @@
Change Log
==========
Release 2.6 - 1/19/2022
-----------------------
**NOTE**: NNI v2.6 is the last version that supports Python 3.6. From next release NNI will require Python 3.7+.
Hyper-Parameter Optimization
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Experiment
""""""""""
* The legacy experiment config format is now deprecated. `(doc of new config) <https://nni.readthedocs.io/en/v2.6/reference/experiment_config.html>`__
* If you are still using legacy format, nnictl will show equivalent new config on start. Please save it to replace the old one.
* nnictl now uses ``nni.experiment.Experiment`` `APIs <https://nni.readthedocs.io/en/stable/Tutorial/HowToLaunchFromPython.html>`__ as backend. The output message of create, resume, and view commands have changed.
* Added Kubeflow and Frameworkcontroller support to hybrid mode. `(doc) <https://nni.readthedocs.io/en/v2.6/TrainingService/HybridMode.html>`__
* The hidden tuner manifest file has been updated. This should be transparent to users, but if you encounter issues like failed to find tuner, please try to remove ``~/.config/nni``.
Algorithms
""""""""""
* Random tuner now supports classArgs ``seed``. `(doc) <https://nni.readthedocs.io/en/v2.6/Tuner/RandomTuner.html>`__
* TPE tuner is refactored: `(doc) <https://nni.readthedocs.io/en/v2.6/Tuner/TpeTuner.html>`__
* Support classArgs ``seed``.
* Support classArgs ``tpe_args`` for expert users to customize algorithm behavior.
* Parallel optimization has been turned on by default. To turn it off set ``tpe_args.constant_liar_type`` to ``null`` (or ``None`` in Python).
* ``parallel_optimize`` and ``constant_liar_type`` has been removed. If you are using them please update your config to use ``tpe_args.constant_liar_type`` instead.
* Grid search tuner now supports all search space types, including uniform, normal, and nested choice. `(doc) <https://nni.readthedocs.io/en/v2.6/Tuner/GridsearchTuner.html>`__
Neural Architecture Search
^^^^^^^^^^^^^^^^^^^^^^^^^^
* Enhancement to serialization utilities `(doc) <https://nni.readthedocs.io/en/v2.6/NAS/Serialization.html>`__ and changes to recommended practice of customizing evaluators. `(doc) <https://nni.readthedocs.io/en/v2.6/NAS/QuickStart.html#pick-or-customize-a-model-evaluator>`__
* Support latency constraint on edge device for ProxylessNAS based on nn-Meter. `(doc) <https://nni.readthedocs.io/en/v2.6/NAS/Proxylessnas.html>`__
* Trial parameters are showed more friendly in Retiarii experiments.
* Refactor NAS examples of ProxylessNAS and SPOS.
Model Compression
^^^^^^^^^^^^^^^^^
* New Pruner Supported in Pruning V2
* Auto-Compress Pruner `(doc) <https://nni.readthedocs.io/en/v2.6/Compression/v2_pruning_algo.html#auto-compress-pruner>`__
* AMC Pruner `(doc) <https://nni.readthedocs.io/en/v2.6/Compression/v2_pruning_algo.html#amc-pruner>`__
* Movement Pruning Pruner `(doc) <https://nni.readthedocs.io/en/v2.6/Compression/v2_pruning_algo.html#movement-pruner>`__
* Support ``nni.trace`` wrapped ``Optimizer`` in Pruning V2. In the case of not affecting the user experience as much as possible, trace the input parameters of the optimizer. `(doc) <https://nni.readthedocs.io/en/v2.6/Compression/v2_pruning_algo.html>`__
* Optimize Taylor Pruner, APoZ Activation Pruner, Mean Activation Pruner in V2 memory usage.
* Add more examples for Pruning V2.
* Add document for pruning config list. `(doc) <https://nni.readthedocs.io/en/v2.6/Compression/v2_pruning_config_list.html>`__
* Parameter ``masks_file`` of ``ModelSpeedup`` now accepts `pathlib.Path` object. (Thanks to @dosemeion) `(doc) <https://nni.readthedocs.io/en/v2.6/Compression/ModelSpeedup.html#user-configuration-for-modelspeedup>`__
* Bug Fix
* Fix Slim Pruner in V2 not sparsify the BN weight.
* Fix Simulator Annealing Task Generator generates config ignoring 0 sparsity.
Documentation
^^^^^^^^^^^^^
* Supported GitHub feature "Cite this repository".
* Updated index page of readthedocs.
* Updated Chinese documentation.
* From now on NNI only maintains translation for most import docs and ensures they are up to date.
* Reorganized HPO tuners' doc.
Bugfixes
^^^^^^^^
* Fixed a bug where numpy array is used as a truth value. (Thanks to @khituras)
* Fixed a bug in updating search space.
* Fixed a bug that HPO search space file does not support scientific notation and tab indent.
* For now NNI does not support mixing scientific notation and YAML features. We are waiting for PyYAML to update.
* Fixed a bug that causes DARTS 2nd order to crash.
* Fixed a bug that causes deep copy of mutation primitives (e.g., LayerChoice) to crash.
* Removed blank at bottom in Web UI overview page.
Release 2.5 - 11/2/2021
-----------------------

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@ -24,7 +24,7 @@ Install NNI through source code
.. code-block:: bash
git clone -b v2.5 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
cd nni
python3 -m pip install -U -r dependencies/setup.txt
python3 -m pip install -r dependencies/develop.txt
@ -38,7 +38,7 @@ If you want to perform a persist install instead, we recommend to build your own
.. code-block:: bash
git clone -b v2.5 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
cd nni
export NNI_RELEASE=2.0
python3 -m pip install -U -r dependencies/setup.txt
@ -61,7 +61,7 @@ Verify installation
.. code-block:: bash
git clone -b v2.5 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
*
Run the MNIST example.

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@ -40,7 +40,7 @@ If you want to contribute to NNI, refer to `setup development environment <Setup
.. code-block:: bat
git clone -b v2.5 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
cd nni
python -m pip install -U -r dependencies/setup.txt
python -m pip install -r dependencies/develop.txt
@ -54,7 +54,7 @@ Verify installation
.. code-block:: bat
git clone -b v2.5 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
*
Run the MNIST example.

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@ -50,7 +50,7 @@
</div>
<hr class="whatNew"/>
<ul>
<li><b>New release:</b> <a href='https://github.com/microsoft/nni/releases/tag/v2.5'>{{ release }} is available2 <i>- released on Nov-04-2021</i></a></li>
<li><b>New release:</b> <a href='https://github.com/microsoft/nni/releases/tag/v2.6'>{{ release }} is available2 <i>- released on Jan-18-2022</i></a></li>
<li><b>New demo available:</b> <a href="https://www.youtube.com/channel/UCKcafm6861B2mnYhPbZHavw">Youtube entry</a> | <a href="https://space.bilibili.com/1649051673">Bilibili</a> 入口 <i>- last updated on May-26-2021</i></li>
<li><b>New webinar:</b> <a href="https://note.microsoft.com/MSR-Webinar-Retiarii-Registration-On-Demand.html">
Introducing Retiarii: A deep learning exploratory-training framework on NNI

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@ -27,7 +27,7 @@ author = 'Microsoft'
# The short X.Y version
version = ''
# The full version, including alpha/beta/rc tags
release = 'v2.5'
release = 'v2.6'
# -- General configuration ---------------------------------------------------

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@ -1,4 +1,4 @@
.. 0f5fee8263b2829f156835c1e895bf2e
.. 1488ec09b21ac2a6c35b41f710c9211e
在 Linux 和 Mac 下安装
======================
@ -26,7 +26,7 @@
.. code-block:: bash
git clone -b v2.0 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
cd nni
python3 -m pip install --upgrade pip setuptools
python3 setup.py develop
@ -39,14 +39,14 @@
.. code-block:: bash
git clone -b v2.0 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
cd nni
export NNI_RELEASE=2.0
export NNI_RELEASE=2.6
python3 -m pip install --upgrade pip setuptools wheel
python3 setup.py clean --all
python3 setup.py build_ts
python3 setup.py bdist_wheel -p manylinux1_x86_64
python3 -m pip install dist/nni-2.0-py3-none-manylinux1_x86_64.whl
python3 -m pip install dist/nni-2.6-py3-none-manylinux1_x86_64.whl
在 Docker 映像中使用 NNI
^^^^^^^^^^^^^^^^^^^^^^^^^
@ -61,7 +61,7 @@
.. code-block:: bash
git clone -b v2.0 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
*
运行 MNIST 示例。

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@ -1,4 +1,4 @@
.. a6dd4da0aa88f250a7b1146566021ce8
.. acdfab53c8209a53709a5bdca72d29b2
在 Windows 上安装
==================
@ -42,7 +42,7 @@
.. code-block:: bat
git clone -b v2.0 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
cd nni
python setup.py develop
@ -54,7 +54,7 @@
.. code-block:: bat
git clone -b v2.0 https://github.com/Microsoft/nni.git
git clone -b v2.6 https://github.com/Microsoft/nni.git
*
运行 MNIST 示例。