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+<!-- Copyright (c) 2020 ARM Limited. -->
+<!-- -->
+<!-- SPDX-License-Identifier: MIT -->
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+ &#160;<span id="projectnumber">20.02</span>
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+<div class="header">
+ <div class="headertitle">
+<div class="title">The ArmNN Serializer and Deserializer </div> </div>
+</div><!--header-->
+<div class="contents">
+<div class="toc"><h3>Table of Contents</h3>
+<ul><li class="level1"><a href="#S8_serializer">The ArmNN Serializer</a></li>
+<li class="level1"><a href="#S9_deserializer">The ArmNN Deserializer</a></li>
+</ul>
+</div>
+<div class="textblock"><h1><a class="anchor" id="S8_serializer"></a>
+The ArmNN Serializer</h1>
+<p>The <code><a class="el" href="namespacearmnn_serializer.xhtml">armnnSerializer</a></code> is a library for serializing an Arm NN network to a stream.</p>
+<h2>The layers that ArmNN SDK Serializer currently supports.</h2>
+<p>This reference guide provides a list of layers which can be serialized currently by the Arm NN SDK.</p>
+<h2>Fully supported</h2>
+<p>The Arm NN SDK Serializer currently supports the following layers:</p>
+<ul>
+<li>Activation</li>
+<li>Addition</li>
+<li>ArgMinMax</li>
+<li>BatchToSpaceNd</li>
+<li>BatchNormalization</li>
+<li>Comparison</li>
+<li>Concat</li>
+<li>Constant</li>
+<li>Convolution2d</li>
+<li>DepthToSpace</li>
+<li>DepthwiseConvolution2d</li>
+<li>Dequantize</li>
+<li>DetectionPostProcess</li>
+<li>Division</li>
+<li>ElementwiseUnary</li>
+<li>Floor</li>
+<li>FullyConnected</li>
+<li>Gather</li>
+<li>Input</li>
+<li>InstanceNormalization</li>
+<li>L2Normalization</li>
+<li>LogSoftmax</li>
+<li>Lstm</li>
+<li>Maximum</li>
+<li>Mean</li>
+<li>Merge</li>
+<li>Minimum</li>
+<li>Multiplication</li>
+<li>Normalization</li>
+<li>Output</li>
+<li>Pad</li>
+<li>Permute</li>
+<li>Pooling2d</li>
+<li>Prelu</li>
+<li>Quantize</li>
+<li>QuantizedLstm</li>
+<li>Reshape</li>
+<li>Resize</li>
+<li>Slice</li>
+<li>Softmax</li>
+<li>SpaceToBatchNd</li>
+<li>SpaceToDepth</li>
+<li>Splitter</li>
+<li>Stack</li>
+<li>StandIn</li>
+<li>StridedSlice</li>
+<li>Subtraction</li>
+<li>Switch</li>
+<li>TransposeConvolution2d</li>
+</ul>
+<p>More machine learning layers will be supported in future releases.</p>
+<h2>Deprecated layers</h2>
+<p>Some layers have been deprecated and replaced by others layers. In order to maintain backward compatibility, serializations of these deprecated layers will deserialize to the layers that have replaced them, as follows:</p>
+<ul>
+<li>Equal will deserialize as Comparison</li>
+<li>Merger will deserialize as Concat</li>
+<li>Greater will deserialize as Comparison</li>
+<li>ResizeBilinear will deserialize as Resize</li>
+<li>Abs will deserialize as ElementwiseUnary</li>
+<li>Rsqrt will deserialize as ElementwiseUnary <br />
+<br />
+<br />
+<br />
+</li>
+</ul>
+<h1><a class="anchor" id="S9_deserializer"></a>
+The ArmNN Deserializer</h1>
+<p>The <code><a class="el" href="namespacearmnn_deserializer.xhtml">armnnDeserializer</a></code> is a library for loading neural networks defined by Arm NN FlatBuffers files into the Arm NN runtime.</p>
+<h2>The layers that ArmNN SDK Deserializer currently supports.</h2>
+<p>This reference guide provides a list of layers which can be deserialized currently by the Arm NN SDK.</p>
+<h2>Fully supported</h2>
+<p>The Arm NN SDK Deserialize parser currently supports the following layers:</p>
+<ul>
+<li>Abs</li>
+<li>Activation</li>
+<li>Addition</li>
+<li>ArgMinMax</li>
+<li>BatchToSpaceNd</li>
+<li>BatchNormalization</li>
+<li>Concat</li>
+<li>Comparison</li>
+<li>Constant</li>
+<li>Convolution2d</li>
+<li>DepthToSpace</li>
+<li>DepthwiseConvolution2d</li>
+<li>Dequantize</li>
+<li>DetectionPostProcess</li>
+<li>Division</li>
+<li>Floor</li>
+<li>FullyConnected</li>
+<li>Gather</li>
+<li>Input</li>
+<li>InstanceNormalization</li>
+<li>L2Normalization</li>
+<li>LogSoftmax</li>
+<li>Lstm</li>
+<li>Maximum</li>
+<li>Mean</li>
+<li>Merge</li>
+<li>Minimum</li>
+<li>Multiplication</li>
+<li>Normalization</li>
+<li>Output</li>
+<li>Pad</li>
+<li>Permute</li>
+<li>Pooling2d</li>
+<li>Prelu</li>
+<li>Quantize</li>
+<li>QuantizedLstm</li>
+<li>Reshape</li>
+<li>Rsqrt</li>
+<li>Slice</li>
+<li>Softmax</li>
+<li>SpaceToBatchNd</li>
+<li>SpaceToDepth</li>
+<li>Splitter</li>
+<li>Stack</li>
+<li>StandIn</li>
+<li>StridedSlice</li>
+<li>Subtraction</li>
+<li>Switch</li>
+<li>TransposeConvolution2d</li>
+<li>Resize</li>
+</ul>
+<p>More machine learning layers will be supported in future releases.</p>
+<h2>Deprecated layers</h2>
+<p>Some layers have been deprecated and replaced by others layers. In order to maintain backward compatibility, serializations of these deprecated layers will deserialize to the layers that have replaced them, as follows:</p>
+<ul>
+<li>Equal will deserialize as Comparison</li>
+<li>Merger will deserialize as Concat</li>
+<li>Greater will deserialize as Comparison</li>
+<li>ResizeBilinear will deserialize as Resize </li>
+</ul>
+</div></div><!-- contents -->
+</div><!-- doc-content -->
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+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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+ <li class="footer">Generated on Fri Mar 13 2020 16:09:16 for ArmNN by
+ <a href="http://www.doxygen.org/index.html">
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