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author | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-08 20:01:38 +0000 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-09 12:26:14 +0000 |
commit | f4019872c1134c6fcc1d6993e5746f55c1e79208 (patch) | |
tree | b07ea8bdd70d696adfa3814344e210ea67be1e8c /22.02/_onnx_parser_8hpp_source.xhtml | |
parent | 0d75c02b21b919b81035205f3914ee273b93b30c (diff) | |
download | armnn-f4019872c1134c6fcc1d6993e5746f55c1e79208.tar.gz |
IVGCVSW-6819 Fix the directory structure and broken link to latest docu
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I05b559d15faf92c76ff536719693b361316be4f3
Diffstat (limited to '22.02/_onnx_parser_8hpp_source.xhtml')
-rw-r--r-- | 22.02/_onnx_parser_8hpp_source.xhtml | 133 |
1 files changed, 133 insertions, 0 deletions
diff --git a/22.02/_onnx_parser_8hpp_source.xhtml b/22.02/_onnx_parser_8hpp_source.xhtml new file mode 100644 index 0000000000..e767703de3 --- /dev/null +++ b/22.02/_onnx_parser_8hpp_source.xhtml @@ -0,0 +1,133 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/armnnOnnxParser/OnnxParser.hpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_onnx_parser_8hpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">OnnxParser.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_onnx_parser_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_i_onnx_parser_8hpp.xhtml">armnnOnnxParser/IOnnxParser.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "google/protobuf/repeated_field.h"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <unordered_map></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <onnx/onnx.pb.h></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">class </span>TensorInfo;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">enum class</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationFunction</a>;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> }</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn_onnx_parser.xhtml">armnnOnnxParser</a></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d"> 23</a></span> <span class="keyword">using</span> <a class="code" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> = std::unique_ptr<onnx::ModelProto>;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml"> 25</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml">OnnxParserImpl</a></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">using</span> OperationParsingFunction = void(<a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml">OnnxParserImpl</a>::*)(<span class="keyword">const</span> onnx::NodeProto& NodeProto);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#ac81510b21cb2b5719cce34474ad01675"> 32</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#ac81510b21cb2b5719cce34474ad01675">GraphPtr</a> = std::unique_ptr<onnx::GraphProto>;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> /// Create the network from a protobuf binary file on disk</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromBinaryFile(<span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"> /// Create the network from a protobuf binary file on disk, with inputShapes specified</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromBinaryFile(<span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> /// Create the network from a protobuf text file on disk</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromTextFile(<span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> /// Create the network from a protobuf text file on disk, with inputShapes specified</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromTextFile(<span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"></span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> /// Create the network directly from protobuf text in a string. Useful for debugging/testing</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromString(<span class="keyword">const</span> std::string& protoText);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"></span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> /// Create the network directly from protobuf text in a string, with inputShapes specified.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> /// Useful for debugging/testing</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromString(<span class="keyword">const</span> std::string& protoText,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"></span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> /// Retrieve binding info (layer id and tensor info) for the network input identified by the given layer name</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"></span> <a class="code" href="namespacearmnn_onnx_parser.xhtml#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> GetNetworkInputBindingInfo(<span class="keyword">const</span> std::string& name) <span class="keyword">const</span>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"></span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> /// Retrieve binding info (layer id and tensor info) for the network output identified by the given layer name</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"></span> <a class="code" href="namespacearmnn_onnx_parser.xhtml#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> GetNetworkOutputBindingInfo(<span class="keyword">const</span> std::string& name) <span class="keyword">const</span>;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml">OnnxParserImpl</a>();</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  ~<a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml">OnnxParserImpl</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">static</span> <a class="code" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> LoadModelFromBinaryFile(<span class="keyword">const</span> <span class="keywordtype">char</span> * fileName);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">static</span> <a class="code" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> LoadModelFromTextFile(<span class="keyword">const</span> <span class="keywordtype">char</span> * fileName);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">static</span> <a class="code" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> LoadModelFromString(<span class="keyword">const</span> std::string& inputString);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"></span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment"> /// Retrieve inputs names</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"></span> <span class="keyword">static</span> std::vector<std::string> GetInputs(<a class="code" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a>& model);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"></span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"> /// Retrieve outputs names</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"></span> <span class="keyword">static</span> std::vector<std::string> GetOutputs(<a class="code" href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a>& model);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"></span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> /// Retrieve version in X.Y.Z form</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"></span> <span class="keyword">static</span> <span class="keyword">const</span> std::string <a class="code" href="namespacearmnn.xhtml#aa09a8bb02eed50715082d8b7fccd2f8d">GetVersion</a>();</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"></span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> /// Parses a ModelProto loaded into memory from one of the other CreateNetwork*</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromModel(onnx::ModelProto& model);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"></span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> /// Parse every node and make the connection between the resulting tensors</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"></span> <span class="keywordtype">void</span> LoadGraph();</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">void</span> SetupInfo(<span class="keyword">const</span> google::protobuf::RepeatedPtrField<onnx::ValueInfoProto >* list);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  std::vector<armnn::TensorInfo> ComputeOutputInfo(</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  std::vector<std::string> outNames,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::vector<armnn::TensorShape> inputShapes,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">onnx::TensorProto::DataType</a>& type = onnx::TensorProto::FLOAT);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordtype">void</span> DetectFullyConnected();</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> Location></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordtype">void</span> GetInputAndParam(<span class="keyword">const</span> onnx::NodeProto& node,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  std::string* inputName,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  std::string* constName,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">const</span> Location& location);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> Location></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordtype">void</span> To1DTensor(<span class="keyword">const</span> std::string &name, <span class="keyword">const</span> Location& location);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">//Broadcast Preparation functions</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  std::pair<std::string, std::string> AddPrepareBroadcast(<span class="keyword">const</span> std::string& input0, <span class="keyword">const</span> std::string& input1);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">void</span> PrependForBroadcast(<span class="keyword">const</span> std::string& outputName, <span class="keyword">const</span> std::string& input0, <span class="keyword">const</span> std::string& input1);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">void</span> AddConvLayerWithDepthwiseConv(<span class="keyword">const</span> onnx::NodeProto& node, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a>& convDesc);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">void</span> AddFullyConnected(<span class="keyword">const</span> onnx::NodeProto& matmulNode, <span class="keyword">const</span> onnx::NodeProto* addNode = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordtype">void</span> AddPoolingLayer(<span class="keyword">const</span> onnx::NodeProto& nodeProto, <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a>& desc);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordtype">void</span> <a class="code" href="namespacearmnn_serializer.xhtml#a2ebf69db263cabc10fd126b4fab4defa">CreateConstantLayer</a>(<span class="keyword">const</span> std::string& tensorName, <span class="keyword">const</span> std::string& layerName);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">void</span> CreateInt64ConstantLayer(<span class="keyword">const</span> std::string& tensorName, <span class="keyword">const</span> std::string& layerName);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">void</span> <a class="code" href="namespacearmnn_serializer.xhtml#a82b0b6b4b39c80c748c22f0dd6f0b363">CreateReshapeLayer</a>(<span class="keyword">const</span> std::string& inputName,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">const</span> std::string& outputName,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keyword">const</span> std::string& layerName);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">void</span> ParseActivation(<span class="keyword">const</span> onnx::NodeProto& nodeProto, <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> func);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">void</span> ParseClip(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordtype">void</span> ParseSigmoid(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">void</span> ParseTanh(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">void</span> ParseRelu(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">void</span> ParseLeakyRelu(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">void</span> ParseAdd(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">void</span> ParseAveragePool(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">void</span> ParseBatchNormalization(<span class="keyword">const</span> onnx::NodeProto& node);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordtype">void</span> ParseConcat(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">void</span> ParseConstant(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">void</span> ParseConv(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordtype">void</span> ParseFlatten(<span class="keyword">const</span> onnx::NodeProto& node);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordtype">void</span> ParseGather(<span class="keyword">const</span> onnx::NodeProto& node);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordtype">void</span> ParseGemm(<span class="keyword">const</span> onnx::NodeProto& node);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordtype">void</span> ParseGlobalAveragePool(<span class="keyword">const</span> onnx::NodeProto& node);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordtype">void</span> ParseMaxPool(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordtype">void</span> ParseShape(<span class="keyword">const</span> onnx::NodeProto& node);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordtype">void</span> ParseReshape(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordtype">void</span> ParseUnsqueeze(<span class="keyword">const</span> onnx::NodeProto& nodeProto);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordtype">void</span> RegisterInputSlot(<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">const</span> std::string& tensorId,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordtype">void</span> RegisterInputSlots(<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> std::vector<std::string>& tensorIndexes);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordtype">void</span> RegisterOutputSlots(<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> std::vector<std::string>& tensorIndexes);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">void</span> SetupInputLayers();</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordtype">void</span> SetupOutputLayers();</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordtype">void</span> ResetParser();</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordtype">void</span> Cleanup();</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  std::pair<armnn::ConstTensor, std::unique_ptr<float[]>></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="namespacearmnn_serializer.xhtml#aed84c72e33487ad47e1e8c833e83027e">CreateConstTensor</a>(<span class="keyword">const</span> std::string name,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::PermutationVector&></a> permutationVector = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>());</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  std::pair<armnn::ConstTensor, std::unique_ptr<int32_t[]>></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  CreateInt64ConstTensor(<span class="keyword">const</span> std::string name,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::PermutationVector&></a> permutationVector = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>());</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> TypeList, <span class="keyword">typename</span> Location></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordtype">void</span> ValidateInputs(<span class="keyword">const</span> onnx::NodeProto& node,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  TypeList validInputs,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">const</span> Location& location);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="comment"></span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="comment"> /// The network we're building. Gets cleared after it is passed to the user</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> m_Network;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment"></span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"> /// Ptr to the graph we're building the network from</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="comment"></span> <a class="code" href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#ac81510b21cb2b5719cce34474ad01675">GraphPtr</a> m_Graph;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="comment"></span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="comment"> /// Map of the information for every tensor</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="comment"></span> <span class="keyword">struct </span>OnnxTensor</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  {</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  std::unique_ptr<armnn::TensorInfo> m_info;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  std::unique_ptr<const onnx::TensorProto> m_tensor;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">onnx::TensorProto::DataType</a> m_dtype;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  OnnxTensor() : m_info(nullptr), m_tensor(nullptr), m_dtype(onnx::TensorProto::FLOAT) { }</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordtype">bool</span> isConstant() { <span class="keywordflow">return</span> m_tensor != <span class="keyword">nullptr</span>; }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  };</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  std::unordered_map<std::string, OnnxTensor> m_TensorsInfo;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="comment"></span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="comment"> /// map of onnx operation names to parsing member functions</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="comment"></span> <span class="keyword">static</span> <span class="keyword">const</span> std::map<std::string, OperationParsingFunction> m_ParserFunctions;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="comment"></span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="comment"> /// A mapping of an output slot to each of the input slots it should be connected to</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="comment"> /// The outputSlot is from the layer that creates this tensor as one of its ouputs</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="comment"> /// The inputSlots are from the layers that use this tensor as one of their inputs</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="comment"></span> <span class="keyword">struct </span>TensorSlots</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  {</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* outputSlot;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  std::vector<armnn::IInputSlot*> inputSlots;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  TensorSlots() : outputSlot(nullptr) { }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  };<span class="comment"></span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="comment"> /// Map of the tensor names to their connections for the connections of the layers of the graph</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="comment"></span> std::unordered_map<std::string, TensorSlots> m_TensorConnections;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="comment"></span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="comment"> /// Map of the tensor names to their node and index in graph.node()</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="comment"></span> std::unordered_map<std::string, std::pair<const onnx::NodeProto*, int>> m_OutputsMap;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="comment"></span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="comment"> /// Number of times a specific node (identified by its index number) was used as input</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="comment"> /// and list of the nodes it was fused with</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="comment"></span> <span class="keyword">struct </span>UsageSummary</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  {</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  std::vector<size_t> fusedWithNodes;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordtype">size_t</span> inputForNodes;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  UsageSummary() : fusedWithNodes({}), inputForNodes(0) { }</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  };</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  std::vector<UsageSummary> m_OutputsFusedAndUsed;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  std::map<std::string, armnn::TensorShape> m_InputShapes;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  std::unordered_map<std::string, armnn::TensorInfo> m_InputInfos;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  std::unordered_map<std::string, armnn::TensorInfo> m_OutputInfos;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> };</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> }</div><div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00066">INetwork.hpp:66</a></div></div> +<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00499">Descriptors.hpp:499</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_aed84c72e33487ad47e1e8c833e83027e"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#aed84c72e33487ad47e1e8c833e83027e">armnnSerializer::CreateConstTensor</a></div><div class="ttdeci">flatbuffers::Offset< ConstTensor > CreateConstTensor(flatbuffers::FlatBufferBuilder &_fbb, flatbuffers::Offset< armnnSerializer::TensorInfo > info=0, armnnSerializer::ConstTensorData data_type=armnnSerializer::ConstTensorData_NONE, flatbuffers::Offset< void > data=0)</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_schema__generated_8h_source.xhtml#l02209">ArmnnSchema_generated.h:2209</a></div></div> +<div class="ttc" id="classarmnn_onnx_parser_1_1_onnx_parser_impl_xhtml"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml">armnnOnnxParser::OnnxParserImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8hpp_source.xhtml#l00025">OnnxParser.hpp:25</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aa09a8bb02eed50715082d8b7fccd2f8d"><div class="ttname"><a href="namespacearmnn.xhtml#aa09a8bb02eed50715082d8b7fccd2f8d">armnn::GetVersion</a></div><div class="ttdeci">const std::string GetVersion()</div><div class="ttdef"><b>Definition:</b> <a href="_utils_8cpp_source.xhtml#l00077">Utils.cpp:77</a></div></div> +<div class="ttc" id="classarmnn_onnx_parser_1_1_onnx_parser_impl_xhtml_ac81510b21cb2b5719cce34474ad01675"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_onnx_parser_impl.xhtml#ac81510b21cb2b5719cce34474ad01675">armnnOnnxParser::OnnxParserImpl::GraphPtr</a></div><div class="ttdeci">std::unique_ptr< onnx::GraphProto > GraphPtr</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8hpp_source.xhtml#l00032">OnnxParser.hpp:32</a></div></div> +<div class="ttc" id="namespacearmnn_onnx_parser_xhtml_a503ae4f55dae1486e53978657083b35d"><div class="ttname"><a href="namespacearmnn_onnx_parser.xhtml#a503ae4f55dae1486e53978657083b35d">armnnOnnxParser::ModelPtr</a></div><div class="ttdeci">std::unique_ptr< onnx::ModelProto > ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="_onnx_parser_8hpp_source.xhtml#l00023">OnnxParser.hpp:23</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00035">Types.hpp:35</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_a82b0b6b4b39c80c748c22f0dd6f0b363"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a82b0b6b4b39c80c748c22f0dd6f0b363">armnnSerializer::CreateReshapeLayer</a></div><div class="ttdeci">flatbuffers::Offset< ReshapeLayer > CreateReshapeLayer(flatbuffers::FlatBufferBuilder &_fbb, flatbuffers::Offset< armnnSerializer::LayerBase > base=0, flatbuffers::Offset< armnnSerializer::ReshapeDescriptor > descriptor=0)</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_schema__generated_8h_source.xhtml#l05735">ArmnnSchema_generated.h:5735</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00040">INetwork.hpp:40</a></div></div> +<div class="ttc" id="_i_onnx_parser_8hpp_xhtml"><div class="ttname"><a href="_i_onnx_parser_8hpp.xhtml">IOnnxParser.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div> +<div class="ttc" id="namespacearmnn_onnx_parser_xhtml"><div class="ttname"><a href="namespacearmnn_onnx_parser.xhtml">armnnOnnxParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_onnx_parser_8hpp_source.xhtml#l00014">IOnnxParser.hpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_serializer_xhtml_a2ebf69db263cabc10fd126b4fab4defa"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a2ebf69db263cabc10fd126b4fab4defa">armnnSerializer::CreateConstantLayer</a></div><div class="ttdeci">flatbuffers::Offset< ConstantLayer > CreateConstantLayer(flatbuffers::FlatBufferBuilder &_fbb, flatbuffers::Offset< armnnSerializer::LayerBase > base=0, flatbuffers::Offset< armnnSerializer::ConstTensor > input=0)</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_schema__generated_8h_source.xhtml#l03083">ArmnnSchema_generated.h:3083</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00241">INetwork.hpp:241</a></div></div> +<div class="ttc" id="namespacearmnn_onnx_parser_xhtml_a9084adbf804022c874039ad40d1939e9"><div class="ttname"><a href="namespacearmnn_onnx_parser.xhtml#a9084adbf804022c874039ad40d1939e9">armnnOnnxParser::BindingPointInfo</a></div><div class="ttdeci">armnn::BindingPointInfo BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_i_onnx_parser_8hpp_source.xhtml#l00017">IOnnxParser.hpp:17</a></div></div> +<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00332">Descriptors.hpp:332</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9ea"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a></div><div class="ttdeci">ActivationFunction</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00073">Types.hpp:73</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_29e3193d5087607956cb928081b12830.xhtml">armnnOnnxParser</a></li><li class="navelem"><a class="el" href="_onnx_parser_8hpp.xhtml">OnnxParser.hpp</a></li> + <li class="footer">Generated on Wed Mar 9 2022 12:00:08 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |