Modify pip installation

thinksanky · Aug 18, 2017 · 8860df3 · 8860df3
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diff --git a/get_started/install.html b/get_started/install.html
@@ -302,7 +302,7 @@ <h1 id="logo-wrap">
 </pre></div>
 </div>
 <p>Install <em>MXNet</em> with OpenBLAS acceleration.</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet
+<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet==0.11.0.rc2
 </pre></div>
 </div>
 <p><strong>Step 4</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>
@@ -321,7 +321,7 @@ <h1 id="logo-wrap">
 </pre></div>
 </div>
 <p><strong>Step 2</strong> Install MXNet with OpenBLAS acceleration.</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet
+<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet==0.11.0.rc2
 </pre></div>
 </div>
 <p><strong>Step 3</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>
@@ -426,7 +426,7 @@ <h1 id="logo-wrap">
 </pre></div>
 </div>
 <p><strong>Step 2</strong>  Install <em>MXNet</em> with GPU support using CUDA 8.0</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet-cu80
+<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet-cu80==0.11.0.rc2
 </pre></div>
 </div>
 <p><strong>Step 3</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>
@@ -460,7 +460,7 @@ <h1 id="logo-wrap">
 </pre></div>
 </div>
 <p>Install <em>MXNet</em> with GPU support using CUDA 8.0.</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="o">(</span>mxnet<span class="o">)</span>$ pip install mxnet-cu80
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="o">(</span>mxnet<span class="o">)</span>$ pip install mxnet-cu80==0.11.0.rc2
 </pre></div>
 </div>
 <p><strong>Step 4</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>
@@ -586,7 +586,7 @@ <h1 id="logo-wrap">
 </pre></div>
 </div>
 <p>Install <em>MXNet</em> with OpenBLAS acceleration.</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="o">(</span>mxnet<span class="o">)</span>$ pip install mxnet
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="o">(</span>mxnet<span class="o">)</span>$ pip install mxnet==0.11.0.rc2
 </pre></div>
 </div>
 <p><strong>Step 5</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>
@@ -612,7 +612,7 @@ <h1 id="logo-wrap">
 $ pip install --upgrade setuptools
 </pre></div>
 </div>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet
+<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet==0.11.0.rc2
 </pre></div>
 </div>
 <p><strong>Step 3</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>

diff --git a/index.html b/index.html
@@ -261,7 +261,7 @@ <h3>MXNet in AWS re:Invent 2016</h3>
 <h2>Examples</h2>
 <p>Explore projects from simple demos to state-of-the-art research</p>
 <div class="util-btn">
-<a href="https://github.com/dmlc/mxnet/tree/0.11.0.rc1/example" id="example-link">MXNet Examples</a>
+<a href="https://github.com/dmlc/mxnet/tree/0.11.0.rc2/example" id="example-link">MXNet Examples</a>
 </div>
 </div>
 <div class="col-lg-6 col-sm-12">

diff --git a/versions/master/get_started/install.html b/versions/master/get_started/install.html
@@ -300,7 +300,7 @@ <h1 id="logo-wrap">
 </pre></div>
 </div>
 <p>Install <em>MXNet</em> with OpenBLAS acceleration.</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet
+<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet --pre
 </pre></div>
 </div>
 <p><strong>Step 4</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>
@@ -319,7 +319,7 @@ <h1 id="logo-wrap">
 </pre></div>
 </div>
 <p><strong>Step 2</strong> Install MXNet with OpenBLAS acceleration.</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet
+<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet --pre
 </pre></div>
 </div>
 <p><strong>Step 3</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>
@@ -424,7 +424,7 @@ <h1 id="logo-wrap">
 </pre></div>
 </div>
 <p><strong>Step 2</strong>  Install <em>MXNet</em> with GPU support using CUDA 8.0</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet-cu80
+<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet-cu80 --pre
 </pre></div>
 </div>
 <p><strong>Step 3</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>
@@ -458,7 +458,7 @@ <h1 id="logo-wrap">
 </pre></div>
 </div>
 <p>Install <em>MXNet</em> with GPU support using CUDA 8.0.</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="o">(</span>mxnet<span class="o">)</span>$ pip install mxnet-cu80
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="o">(</span>mxnet<span class="o">)</span>$ pip install mxnet-cu80 --pre
 </pre></div>
 </div>
 <p><strong>Step 4</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>
@@ -584,7 +584,7 @@ <h1 id="logo-wrap">
 </pre></div>
 </div>
 <p>Install <em>MXNet</em> with OpenBLAS acceleration.</p>
-<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="o">(</span>mxnet<span class="o">)</span>$ pip install mxnet
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="o">(</span>mxnet<span class="o">)</span>$ pip install mxnet --pre
 </pre></div>
 </div>
 <p><strong>Step 5</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>
@@ -610,7 +610,7 @@ <h1 id="logo-wrap">
 $ pip install --upgrade setuptools
 </pre></div>
 </div>
-<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet
+<div class="highlight-bash"><div class="highlight"><pre><span></span>$ pip install mxnet --pre
 </pre></div>
 </div>
 <p><strong>Step 3</strong>  Install <a class="reference external" href="http://www.graphviz.org/">Graphviz</a>. (Optional, needed for graph visualization using <code class="docutils literal"><span class="pre">mxnet.viz</span></code> package).</p>