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<!--- under the License. --><div class="section" id="visualization">
<span id="visualization"></span><h1>Visualization<a class="headerlink" href="#visualization" title="Permalink to this headline"></a></h1>
<p>This module contains visualization features.</p>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%"/>
<col width="90%"/>
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="#module-mxnet.visualization" title="mxnet.visualization"><code class="xref py py-obj docutils literal"><span class="pre">mxnet.visualization</span></code></a></td>
<td>Visualization module</td>
</tr>
</tbody>
</table>
<div class="section" id="api-reference">
<span id="api-reference"></span><h2>API Reference<a class="headerlink" href="#api-reference" title="Permalink to this headline"></a></h2>
<script src="../../../_static/js/auto_module_index.js" type="text/javascript"></script><span class="target" id="module-mxnet.visualization"></span><p>Visualization module</p>
<dl class="function">
<dt id="mxnet.visualization.print_summary">
<code class="descclassname">mxnet.visualization.</code><code class="descname">print_summary</code><span class="sig-paren">(</span><em>symbol, shape=None, line_length=120, positions=[0.44, 0.64, 0.74, 1.0]</em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/mxnet/visualization.html#print_summary"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#mxnet.visualization.print_summary" title="Permalink to this definition"></a></dt>
<dd><p>Convert symbol for detail information.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name"/>
<col class="field-body"/>
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>symbol</strong> (<a class="reference internal" href="../symbol/symbol.html#mxnet.symbol.Symbol" title="mxnet.symbol.Symbol"><em>Symbol</em></a>) – Symbol to be visualized.</li>
<li><strong>shape</strong> (<em>dict</em>) – A dict of shapes, str->shape (tuple), given input shapes.</li>
<li><strong>line_length</strong> (<em>int</em>) – Rotal length of printed lines</li>
<li><strong>positions</strong> (<em>list</em>) – Relative or absolute positions of log elements in each line.</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"></p>
</td>
</tr>
<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">None</p>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Notes</p>
<p>If <code class="docutils literal"><span class="pre">mxnet</span></code> is imported, the visualization module can be used in its short-form.
For example, if we <code class="docutils literal"><span class="pre">import</span> <span class="pre">mxnet</span></code> as follows:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mxnet</span>
</pre></div>
</div>
<p>this method in visualization module can be used in its short-form as:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mxnet</span><span class="o">.</span><span class="n">viz</span><span class="o">.</span><span class="n">print_summary</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
</pre></div>
</div>
</dd></dl>
<dl class="function">
<dt id="mxnet.visualization.plot_network">
<code class="descclassname">mxnet.visualization.</code><code class="descname">plot_network</code><span class="sig-paren">(</span><em>symbol</em>, <em>title='plot'</em>, <em>save_format='pdf'</em>, <em>shape=None</em>, <em>dtype=None</em>, <em>node_attrs={}</em>, <em>hide_weights=True</em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/mxnet/visualization.html#plot_network"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#mxnet.visualization.plot_network" title="Permalink to this definition"></a></dt>
<dd><p>Creates a visualization (Graphviz digraph object) of the given computation graph.
Graphviz must be installed for this function to work.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name"/>
<col class="field-body"/>
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>title</strong> (<em>str</em><em>, </em><em>optional</em>) – Title of the generated visualization.</li>
<li><strong>symbol</strong> (<a class="reference internal" href="../symbol/symbol.html#mxnet.symbol.Symbol" title="mxnet.symbol.Symbol"><em>Symbol</em></a>) – A symbol from the computation graph. The generated digraph will visualize the part
of the computation graph required to compute <cite>symbol</cite>.</li>
<li><strong>shape</strong> (<em>dict</em><em>, </em><em>optional</em>) – Specifies the shape of the input tensors. If specified, the visualization will include
the shape of the tensors between the nodes. <cite>shape</cite> is a dictionary mapping
input symbol names (str) to the corresponding tensor shape (tuple).</li>
<li><strong>dtype</strong> (<em>dict</em><em>, </em><em>optional</em>) – Specifies the type of the input tensors. If specified, the visualization will include
the type of the tensors between the nodes. <cite>dtype</cite> is a dictionary mapping
input symbol names (str) to the corresponding tensor type (e.g. <cite>numpy.float32</cite>).</li>
<li><strong>node_attrs</strong> (<em>dict</em><em>, </em><em>optional</em>) – <p>Specifies the attributes for nodes in the generated visualization. <cite>node_attrs</cite> is
a dictionary of Graphviz attribute names and values. For example:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">node_attrs</span><span class="o">=</span><span class="p">{</span><span class="s2">"shape"</span><span class="p">:</span><span class="s2">"oval"</span><span class="p">,</span><span class="s2">"fixedsize"</span><span class="p">:</span><span class="s2">"false"</span><span class="p">}</span>
</pre></div>
</div>
<p>will use oval shape for nodes and allow variable sized nodes in the visualization.</p>
</li>
<li><strong>hide_weights</strong> (<em>bool</em><em>, </em><em>optional</em>) – If True (default), then inputs with names of form <em>_weight</em> (corresponding to weight
tensors) or <em>_bias</em> (corresponding to bias vectors) will be hidden for a cleaner
visualization.</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first"><strong>dot</strong> – A Graphviz digraph object visualizing the computation graph to compute <cite>symbol</cite>.</p>
</td>
</tr>
<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">Digraph</p>
</td>
</tr>
</tbody>
</table>
<p class="rubric">Example</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">net</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">sym</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="s1">'data'</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">net</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">sym</span><span class="o">.</span><span class="n">FullyConnected</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">net</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'fc1'</span><span class="p">,</span> <span class="n">num_hidden</span><span class="o">=</span><span class="mi">128</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">net</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">sym</span><span class="o">.</span><span class="n">Activation</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">net</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'relu1'</span><span class="p">,</span> <span class="n">act_type</span><span class="o">=</span><span class="s2">"relu"</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">net</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">sym</span><span class="o">.</span><span class="n">FullyConnected</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">net</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'fc2'</span><span class="p">,</span> <span class="n">num_hidden</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">net</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">sym</span><span class="o">.</span><span class="n">SoftmaxOutput</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">net</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'out'</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">digraph</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">viz</span><span class="o">.</span><span class="n">plot_network</span><span class="p">(</span><span class="n">net</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">{</span><span class="s1">'data'</span><span class="p">:(</span><span class="mi">100</span><span class="p">,</span><span class="mi">200</span><span class="p">)},</span>
<span class="gp">... </span><span class="n">node_attrs</span><span class="o">=</span><span class="p">{</span><span class="s2">"fixedsize"</span><span class="p">:</span><span class="s2">"false"</span><span class="p">})</span>
<span class="gp">>>> </span><span class="n">digraph</span><span class="o">.</span><span class="n">view</span><span class="p">()</span>
</pre></div>
</div>
<p class="rubric">Notes</p>
<p>If <code class="docutils literal"><span class="pre">mxnet</span></code> is imported, the visualization module can be used in its short-form.
For example, if we <code class="docutils literal"><span class="pre">import</span> <span class="pre">mxnet</span></code> as follows:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">mxnet</span>
</pre></div>
</div>
<p>this method in visualization module can be used in its short-form as:</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="n">mxnet</span><span class="o">.</span><span class="n">viz</span><span class="o">.</span><span class="n">plot_network</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
</pre></div>
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