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+  <div class="headertitle">
+<div class="title">The ArmNN Converter and Quantizer </div>  </div>
+</div><!--header-->
+<div class="contents">
+<div class="toc"><h3>Table of Contents</h3>
+<ul><li class="level1"><a href="#S10_converter">The ArmNN Converter</a></li>
+<li class="level1"><a href="#S11_quantizer">The ArmNN Quantizer</a></li>
+</ul>
+</div>
+<div class="textblock"><h1><a class="anchor" id="S10_converter"></a>
+The ArmNN Converter</h1>
+<p>The <code>ArmnnConverter</code> is a program for converting neural networks from other formats to Arm NN format. Currently the program supports models in Caffe, Onnx, Tensorflow Protocol Buffers and Tensorflow Lite FlatBuffers formats. Run the program with no arguments to see command-line help.</p>
+<p>For more information about the layers that are supported, see <a href="parsers.xhtml">parsers</a>. <br />
+<br />
+<br />
+<br />
+</p>
+<h1><a class="anchor" id="S11_quantizer"></a>
+The ArmNN Quantizer</h1>
+<p>The <code>ArmnnQuantizer</code> is a program for loading a 32-bit float network into ArmNN and converting it into a quantized asymmetric 8-bit or quantized symmetric 16-bit network. It supports static quantization by default, dynamic quantization is enabled if CSV file of raw input tensors is provided. Run the program with no arguments to see command-line help.</p>
+<table class="doxtable">
+<tr>
+<th>Cmd:</th><th></th><th></th></tr>
+<tr>
+<td>-h </td><td>&ndash;help </td><td>Display help messages </td></tr>
+<tr>
+<td>-f </td><td>&ndash;infile </td><td>Input file containing float 32 ArmNN Input <a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> </td></tr>
+<tr>
+<td>-s </td><td>&ndash;scheme </td><td>Quantization scheme, "QAsymm8" or "QSymm16". Default value: QAsymm8 </td></tr>
+<tr>
+<td>-c </td><td>&ndash;csvfile </td><td>CSV file containing paths for raw input tensors for dynamic quantization. If unset, static quantization is used </td></tr>
+<tr>
+<td>-p </td><td>&ndash;preserve-data-type </td><td>Preserve the input and output data types. If unset, input and output data types are not preserved </td></tr>
+<tr>
+<td>-d </td><td>&ndash;outdir </td><td>Directory that output file will be written to </td></tr>
+<tr>
+<td>-o </td><td>&ndash;outfile </td><td>ArmNN output file name </td></tr>
+</table>
+<p><br />
+ </p><div class="fragment"><div class="line">./ArmnnQuantizer -f /path/to/armnn/input/graph/ -s &quot;QSymm16&quot; -c /path/to/csv/file -p 1 -d /path/to/output -o outputFileName</div></div><!-- fragment --> </div></div><!-- contents -->
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+    <li class="footer">Generated on Fri Mar 13 2020 16:09:16 for ArmNN by
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