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authorColm Donelan <Colm.Donelan@arm.com>2020-05-20 16:12:19 +0100
committerColm Donelan <Colm.Donelan@arm.com>2020-05-29 10:28:40 +0100
commita983e4699082a0b1ef685bab7354f2ad9cd37a44 (patch)
tree4fa94e7ab27053461b481cfbdc1b7c17ca475ac6 /20.05/serializers.xhtml
parent764d50a3271dea43a6e9273e6dfd98990281c654 (diff)
downloadarmnn-a983e4699082a0b1ef685bab7354f2ad9cd37a44.tar.gz
Updating Doxygen documentation for 20.05 release.
Change-Id: I4d624343ed5fd6ae269c3d53532903084508fd14 Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
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+<!-- Copyright (c) 2020 ARM Limited. -->
+<!-- -->
+<!-- SPDX-License-Identifier: MIT -->
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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+ <td style="padding-left: 0.5em;">
+ <div id="projectname">
+ &#160;<span id="projectnumber">20.05</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 -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+ <ul>
+ <li class="footer">Generated on Fri May 29 2020 10:20:49 for ArmNN by
+ <a href="http://www.doxygen.org/index.html">
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