Update NEWS, README and website for 1.7.0 (#19047)

* update NEWS.md and README.md

* update get_started and pip for 1.7.0

* update website for 1.7.0

* update download link for source package

* Use archive.apache.org for the previous releases and mirror for the latest release

* update description for oneDNN and add native binary installation command

* update news

docs/static_site/src/.htaccess

@@ -19,15 +19,15 @@ RewriteOptions AllowNoSlash
 
   # Web fonts
   ExpiresByType application/font-woff     "access plus 1 month"
-  
+
 </IfModule>
 
-# Set default website version to current stable (v1.6)
+# Set default website version to current stable (v1.7)
 RewriteCond %{REQUEST_URI} !^/versions/
 RewriteCond %{HTTP_REFERER} !mxnet.apache.org
 RewriteCond %{HTTP_REFERER} !mxnet.incubator.apache.org
 RewriteCond %{HTTP_REFERER} !mxnet.cdn.apache.org
-RewriteRule ^(.*)$ /versions/1.6/$1 [r=307,L]
+RewriteRule ^(.*)$ /versions/1.7/$1 [r=307,L]
 
 # Redirect Chinese visitors to Chinese CDN, temporary solution for slow site speed in China
 RewriteCond %{ENV:GEOIP_COUNTRY_CODE} ^CN$

docs/static_site/src/_includes/get_started/get_started.html

@@ -1,7 +1,7 @@
 <script>
     /** Defaults **/
     /** See options.js for the full ugly script **/
-    var versionSelect = defaultVersion = 'v1.6.0';
+    var versionSelect = defaultVersion = 'v1.7.0';
     var platformSelect = 'linux';
     var languageSelect = 'python';
     var processorSelect = 'cpu';
@@ -24,13 +24,14 @@ <h2>Platform and use-case specific instructions for using MXNet</h2>
             <div class="col-9 install-right">
                 <div class="dropdown" id="version-dropdown-container">
                     <button class="current-version dropbtn btn" type="button" data-toggle="dropdown">
-                        v1.6.0
+                        v1.7.0
                         <svg class="dropdown-caret" viewBox="0 0 32 32" class="icon icon-caret-bottom" aria-hidden="true">
                             <path class="dropdown-caret-path" d="M24 11.305l-7.997 11.39L8 11.305z"></path>
                         </svg>
                     </button>
                     <ul class="opt-group version-dropdown">
-                        <li class="opt active versions"><a href="#">v1.6.0</a></li>
+                        <li class="opt active versions"><a href="#">v1.7.0</a></li>
+                        <li class="opt versions"><a href="#">v1.6.0</a></li>
                         <li class="opt versions"><a href="#">v1.5.1</a></li>
                         <li class="opt versions"><a href="#">v1.4.1</a></li>
                         <li class="opt versions"><a href="#">v1.3.1</a></li>

docs/static_site/src/_includes/get_started/linux/python/cpu/pip.md

@@ -9,17 +9,49 @@ page](https://mxnet.apache.org/get_started/download).
 
 Run the following command:
 
-<div class="v1-6-0">
+<div class="v1-7-0">
 {% highlight bash %}
 pip install mxnet
 {% endhighlight %}
 
+Start from 1.7.0 release, oneDNN(previously known as: MKL-DNN/DNNL) is enabled
+in pip packages by default.
+
+oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform
+performance library of basic building blocks for deep learning applications.
+The library is optimized for Intel Architecture Processors, Intel Processor
+Graphics and Xe architecture-based Graphics. Support for other architectures
+such as Arm* 64-bit Architecture (AArch64) and OpenPOWER* Power ISA (PPC64) is
+experimental.
+
+oneDNN is intended for deep learning applications and framework developers
+interested in improving application performance on Intel CPUs and GPUs, more
+details can be found <a href="https://github.com/oneapi-src/oneDNN">here</a>.
+
+You can find performance numbers in the
+<a href="https://mxnet.apache.org/versions/1.6/api/faq/perf.html#intel-cpu">
+MXNet tuning guide</a>.
+
+To install native MXNet without oneDNN, run the following command:
+
+{% highlight bash %}
+pip install mxnet-native
+{% endhighlight %}
+
+</div> <!-- End of v1-7-0 -->
+
+<div class="v1-6-0">
+{% highlight bash %}
+pip install mxnet==1.6.0
+{% endhighlight %}
+
 MKL-DNN enabled pip packages are optimized for Intel hardware. You can find
-performance numbers
-in the <a href="https://mxnet.io/api/faq/perf#intel-cpu">MXNet tuning guide</a>.
+performance numbers in the
+<a href="https://mxnet.apache.org/versions/1.6/api/faq/perf.html#intel-cpu">
+MXNet tuning guide</a>.
 
 {% highlight bash %}
-pip install mxnet-mkl
+pip install mxnet-mkl==1.6.0
 {% endhighlight %}
 
 </div> <!-- End of v1-6-0 -->
@@ -30,8 +62,9 @@ pip install mxnet==1.5.1
 {% endhighlight %}
 
 MKL-DNN enabled pip packages are optimized for Intel hardware. You can find
-performance numbers
-in the <a href="https://mxnet.io/api/faq/perf#intel-cpu">MXNet tuning guide</a>.
+performance numbers in the
+<a href="https://mxnet.apache.org/versions/1.6/api/faq/perf.html#intel-cpu">
+MXNet tuning guide</a>.
 
 {% highlight bash %}
 pip install mxnet-mkl==1.5.1
@@ -46,8 +79,9 @@ pip install mxnet==1.4.1
 {% endhighlight %}
 
 MKL-DNN enabled pip packages are optimized for Intel hardware. You can find
-performance numbers
-in the <a href="https://mxnet.io/api/faq/perf#intel-cpu">MXNet tuning guide</a>.
+performance numbers in the
+<a href="https://mxnet.apache.org/versions/1.6/api/faq/perf.html#intel-cpu">
+MXNet tuning guide</a>.
 
 {% highlight bash %}
 pip install mxnet-mkl==1.4.1
@@ -61,8 +95,9 @@ pip install mxnet==1.3.1
 {% endhighlight %}
 
 MKL-DNN enabled pip packages are optimized for Intel hardware. You can find
-performance numbers
-in the <a href="https://mxnet.io/api/faq/perf#intel-cpu">MXNet tuning guide</a>.
+performance numbers in the
+<a href="https://mxnet.apache.org/versions/1.6/api/faq/perf.html#intel-cpu">
+MXNet tuning guide</a>.
 
 {% highlight bash %}
 pip install mxnet-mkl==1.3.1
@@ -76,8 +111,9 @@ pip install mxnet==1.2.1
 {% endhighlight %}
 
 MKL-DNN enabled pip packages are optimized for Intel hardware. You can find
-performance numbers
-in the <a href="https://mxnet.io/api/faq/perf#intel-cpu">MXNet tuning guide</a>.
+performance numbers in the
+<a href="https://mxnet.apache.org/versions/1.6/api/faq/perf.html#intel-cpu">
+MXNet tuning guide</a>.
 
 {% highlight bash %}
 pip install mxnet-mkl==1.2.1

docs/static_site/src/_includes/get_started/linux/python/gpu/pip.md

@@ -10,13 +10,20 @@ page](https://mxnet.apache.org/get_started/download).
 
 Run the following command:
 
-<div class="v1-6-0">
+<div class="v1-7-0">
 {% highlight bash %}
 $ pip install mxnet-cu102
 {% endhighlight %}
 
 </div> <!-- End of v1-6-0 -->
 
+<div class="v1-6-0">
+{% highlight bash %}
+$ pip install mxnet-cu102==1.6.0
+{% endhighlight %}
+
+</div> <!-- End of v1-6-0 -->
+
 <div class="v1-5-1">
 {% highlight bash %}
 $ pip install mxnet-cu101==1.5.1

docs/static_site/src/_includes/get_started/pip_snippet.md

@@ -1,7 +1,7 @@
 You can then <a href="/get_started/validate_mxnet.html">validate your MXNet installation</a>.
 
 <div style="text-align: center">
-    <img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages-1.6.0.png"
+    <img src="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/install/pip-packages-1.7.0.png"
     alt="pip packages"/>
 </div>
 

docs/static_site/src/pages/get_started/download.md

@@ -35,7 +35,8 @@ encouraged to contribute to our development version on
 
 | Version | Source                                                                                                      | PGP                                                                                                             | SHA                                                                                                                |
 |---------|-------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------|
-| 1.6.0   | [Download](https://www.apache.org/dyn/closer.cgi/incubator/mxnet/1.6.0/apache-mxnet-src-1.6.0-incubating.tar.gz)   | [Download](https://downloads.apache.org/incubator/mxnet/1.6.0/apache-mxnet-src-1.6.0-incubating.tar.gz.asc)    |  [Download](https://downloads.apache.org/incubator/mxnet/1.6.0/apache-mxnet-src-1.6.0-incubating.tar.gz.sha512)    |
+| 1.7.0   | [Download](http://www.apache.org/dyn/closer.lua?filename=incubator/mxnet/1.7.0/apache-mxnet-src-1.7.0-incubating.tar.gz&action=download)   | [Download](https://downloads.apache.org/incubator/mxnet/1.7.0/apache-mxnet-src-1.7.0-incubating.tar.gz.asc)    |  [Download](https://downloads.apache.org/incubator/mxnet/1.7.0/apache-mxnet-src-1.7.0-incubating.tar.gz.sha512)    |
+| 1.6.0   | [Download](https://archive.apache.org/dist/incubator/mxnet/1.6.0/apache-mxnet-src-1.6.0-incubating.tar.gz)   | [Download](https://archive.apache.org/dist/incubator/mxnet/1.6.0/apache-mxnet-src-1.6.0-incubating.tar.gz.asc)    |  [Download](https://archive.apache.org/dist/incubator/mxnet/1.6.0/apache-mxnet-src-1.6.0-incubating.tar.gz.sha512)    |
 | 1.5.1   | [Download](https://archive.apache.org/dist/incubator/mxnet/1.5.1/apache-mxnet-src-1.5.1-incubating.tar.gz)   | [Download](https://archive.apache.org/dist/incubator/mxnet/1.5.1/apache-mxnet-src-1.5.1-incubating.tar.gz.asc)    |  [Download](https://archive.apache.org/dist/incubator/mxnet/1.5.1/apache-mxnet-src-1.5.1-incubating.tar.gz.sha512)     |
 | 1.5.0   | [Download](https://archive.apache.org/dist/incubator/mxnet/1.5.0/apache-mxnet-src-1.5.0-incubating.tar.gz)   | [Download](https://archive.apache.org/dist/incubator/mxnet/1.5.0/apache-mxnet-src-1.5.0-incubating.tar.gz.asc)    |  [Download](https://archive.apache.org/dist/incubator/mxnet/1.5.0/apache-mxnet-src-1.5.0-incubating.tar.gz.sha512)     |
 | 1.4.1   | [Download](https://archive.apache.org/dist/incubator/mxnet/1.4.1/apache-mxnet-src-1.4.1-incubating.tar.gz)   | [Download](https://archive.apache.org/dist/incubator/mxnet/1.4.1/apache-mxnet-src-1.4.1-incubating.tar.gz.asc)    | [Download](https://archive.apache.org/dist/incubator/mxnet/1.4.1/apache-mxnet-src-1.4.1-incubating.tar.gz.sha512)      |