Update readme for v2.3 release

README.md

@@ -5,7 +5,7 @@ Intel® Neural Compressor
 <h3> An open-source Python library supporting popular model compression techniques on all mainstream deep learning frameworks (TensorFlow, PyTorch, ONNX Runtime, and MXNet)</h3>
 
 [![python](https://img.shields.io/badge/python-3.7%2B-blue)](https://github.com/intel/neural-compressor)
-[![version](https://img.shields.io/badge/release-2.2-green)](https://github.com/intel/neural-compressor/releases)
+[![version](https://img.shields.io/badge/release-2.3-green)](https://github.com/intel/neural-compressor/releases)
 [![license](https://img.shields.io/badge/license-Apache%202-blue)](https://github.com/intel/neural-compressor/blob/master/LICENSE)
 [![coverage](https://img.shields.io/badge/coverage-85%25-green)](https://github.com/intel/neural-compressor)
 [![Downloads](https://static.pepy.tech/personalized-badge/neural-compressor?period=total&units=international_system&left_color=grey&right_color=green&left_text=downloads)](https://pepy.tech/project/neural-compressor)
@@ -155,6 +155,12 @@ q_model = fit(
 * [Legal Information](./docs/source/legal_information.md)
 * [Security Policy](SECURITY.md)
 
-## Research Collaborations
-
-Welcome to raise any interesting research ideas on model compression techniques and feel free to reach us ([[email protected]](mailto:[email protected])). Look forward to our collaborations on Intel Neural Compressor!
+## Communication 
+- [GitHub Issues](https://github.com/intel/neural-compressor/issues): mainly for bugs report, new feature request, question asking, etc.
+- [Email](mailto:[email protected]): welcome to raise any interesting research ideas on model compression techniques by email for collaborations.  
+- WeChat group: scan the QA code to join the technical discussion.
+<div align=center>
+<a target="_blank" href="/docs/source/imgs/wechat_group.jpg">
+ <img src="/docs/source/imgs/wechat_group.jpg" width=200 height=200 alt="Pruning schedule">
+</a>
+</div>

docs/source/installation_guide.md

@@ -145,21 +145,22 @@ The following prerequisites and requirements must be satisfied for a successful
 <tbody>
   <tr align="center">
     <th>Version</th>
-    <td class="tg-7zrl"><a href=https://github.com/tensorflow/tensorflow/tree/v2.12.0>2.12.0</a><br>
-    <a href=https://github.com/tensorflow/tensorflow/tree/v2.11.0>2.11.0</a><br>
-    <a href=https://github.com/tensorflow/tensorflow/tree/v2.10.1>2.10.1</a><br></td>
-    <td class="tg-7zrl"><a href=https://github.com/Intel-tensorflow/tensorflow/tree/v2.12.0>2.12.0</a><br>
-    <a href=https://github.com/Intel-tensorflow/tensorflow/tree/v2.11.0>2.11.0</a><br>
-    <a href=https://github.com/Intel-tensorflow/tensorflow/tree/v2.10.0>2.10.0</a><br></td>
-    <td class="tg-7zrl"><a href=https://github.com/intel/intel-extension-for-tensorflow/tree/v1.2.0>1.2.0</a><br>
+    <td class="tg-7zrl"> <a href=https://github.com/tensorflow/tensorflow/tree/v2.13.0>2.13.0</a><br>
+    <a href=https://github.com/tensorflow/tensorflow/tree/v2.12.1>2.12.1</a><br>
+    <a href=https://github.com/tensorflow/tensorflow/tree/v2.11.1>2.11.1</a><br></td>
+    <td class="tg-7zrl"> <a href=https://github.com/Intel-tensorflow/tensorflow/tree/v2.13.0>2.13.0</a><br>
+    <a href=https://github.com/Intel-tensorflow/tensorflow/tree/v2.12.0>2.12.0</a><br>
+    <a href=https://github.com/Intel-tensorflow/tensorflow/tree/v2.11.0>2.11.0</a><br></td>
+    <td class="tg-7zrl"> <a href=https://github.com/intel/intel-extension-for-tensorflow/tree/v2.13.0.0>v2.13.0.0</a><br>
+    <a href=https://github.com/intel/intel-extension-for-tensorflow/tree/v1.2.0>1.2.0</a><br>
     <a href=https://github.com/intel/intel-extension-for-tensorflow/tree/v1.1.0>1.1.0</a></td>
-    <td class="tg-7zrl"><a href=https://download.pytorch.org/whl/torch_stable.html>2.0.1+cpu</a><br>
-    <a href=https://download.pytorch.org/whl/torch_stable.html>1.13.1+cpu</a><br>
-    <a href=https://download.pytorch.org/whl/torch_stable.html>1.12.1+cpu</a><br></td>
+    <td class="tg-7zrl"><a href=https://github.com/pytorch/pytorch/tree/v2.0.1>2.0.1+cpu</a><br>
+    <a href=https://github.com/pytorch/pytorch/tree/v1.13.1>1.13.1+cpu</a><br>
+    <a href=https://github.com/pytorch/pytorch/tree/v1.12.1>1.12.1+cpu</a><br></td>
     <td class="tg-7zrl"><a href=https://github.com/intel/intel-extension-for-pytorch/tree/v2.0.100+cpu>2.0.1+cpu</a><br>
     <a href=https://github.com/intel/intel-extension-for-pytorch/tree/v1.13.100+cpu>1.13.1+cpu</a><br>
     <a href=https://github.com/intel/intel-extension-for-pytorch/tree/v1.12.100>1.12.1+cpu</a><br></td>
-    <td class="tg-7zrl"><a href=https://github.com/microsoft/onnxruntime/tree/v1.15.0>1.15.0</a><br>
+    <td class="tg-7zrl"><a href=https://github.com/microsoft/onnxruntime/tree/v1.15.1>1.15.1</a><br>
     <a href=https://github.com/microsoft/onnxruntime/tree/v1.14.1>1.14.1</a><br>
     <a href=https://github.com/microsoft/onnxruntime/tree/v1.13.1>1.13.1</a><br></td>
     <td class="tg-7zrl"><a href=https://github.com/apache/incubator-mxnet/tree/1.9.1>1.9.1</a><br></td>

third-party-programs.txt

@@ -402,6 +402,9 @@ terms are listed below.
     socket.io
     Copyright (c) 2014-2018 Automattic <[email protected]>
 
+    sass
+    Copyright (c) 2016, Google Inc.
+
 
     The MIT License (MIT)
 
@@ -1693,7 +1696,7 @@ terms are listed below.
    limitations under the License.
 
    ======================================================================================
-   BSD License
+   BSD Lisence
 
    --------------------------------------------------------------------------------------
    1. FBGEMM from Facebook
@@ -1840,13 +1843,16 @@ Code generated by the Protocol Buffer compiler is owned by the owner
 of the input file used when generating it.  This code is not
 standalone and requires a support library to be linked with it.  This
 support library is itself covered by the above license.
+
 -------------------------------------------------------------
-7.  Hardware-Aware Transformer software
+8. Hardware-Aware Transformer software
+   Copyright (c) 2020, Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai,
+   Ligeng Zhu, Chuang Gan and Song Han
+   All rights reserved.
 
------------- LICENSE For Hardware-Aware Transformer software ---------------
-Copyright (c) 2020, Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai,
-Ligeng Zhu, Chuang Gan and Song Han
-All rights reserved.
+   css-select
+   Copyright (c) Felix Böhm
+   All rights reserved.
 
 Redistribution and use in source and binary forms, with or without
 modification, are permitted provided that the following conditions are met:
@@ -1893,7 +1899,6 @@ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
 
-
 ------------------------------------------------------------------
 
 The following third party programs have their own third party program files. These additional