diff options
Diffstat (limited to '20.02/_tf_parser_8hpp_source.xhtml')
| -rw-r--r-- | 20.02/_tf_parser_8hpp_source.xhtml | 136 |
1 files changed, 136 insertions, 0 deletions
diff --git a/20.02/_tf_parser_8hpp_source.xhtml b/20.02/_tf_parser_8hpp_source.xhtml new file mode 100644 index 0000000000..23d8722dcf --- /dev/null +++ b/20.02/_tf_parser_8hpp_source.xhtml @@ -0,0 +1,136 @@ +<!-- 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/armnnTfParser/TfParser.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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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('_tf_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">TfParser.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_tf_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_tf_parser_8hpp.xhtml">armnnTfParser/ITfParser.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>"</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_i_network_8hpp.xhtml">armnn/INetwork.hpp</a>"</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> <span class="preprocessor">#include <list></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <map></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <unordered_map></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <utility></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <vector></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.xhtml">armnn</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> <span class="keyword">class </span>TensorInfo;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> }</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="keyword">namespace </span><a class="code" href="namespacetensorflow.xhtml">tensorflow</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> <span class="keyword">class </span>GraphDef;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">class </span>NodeDef;</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> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn_tf_parser.xhtml">armnnTfParser</a></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">class </span>ParsedTfOperation;</div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405"> 35</a></span> <span class="keyword">using</span> <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> = std::unique_ptr<ParsedTfOperation>;</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">///</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment">/// WithOutputTensorIndex wraps a value and an index. The purpose of</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment">/// this template is to signify that, in Tensorflow, the input name of</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment">/// a layer has the convention of 'inputTensorName:#index', where the</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment">/// #index can be omitted and it implicitly means the 0 output of</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment">/// the referenced layer. By supporting this notation we can handle</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment">/// layers with multiple outputs, such as Split.</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment">///</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"></span><span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml"> 46</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">WithOutputTensorIndex</a></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {</div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#a08f2876bc5d60ed9c711ac7c26747305"> 48</a></span>  T <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#a08f2876bc5d60ed9c711ac7c26747305">m_IndexedValue</a>;</div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#a271b1a398c11fb4bf8603119041562c9"> 49</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#a271b1a398c11fb4bf8603119041562c9">m_Index</a>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#af35b2c8744db2d46349da7ebd547a157"> 51</a></span>  <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#af35b2c8744db2d46349da7ebd547a157">WithOutputTensorIndex</a>(<span class="keyword">const</span> T & value, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  : m_IndexedValue{value}</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  , m_Index{index} {}</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#af8b91afcb4d4623d1a3697baa8a85814"> 55</a></span>  <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#af8b91afcb4d4623d1a3697baa8a85814">WithOutputTensorIndex</a>(T && value, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  : m_IndexedValue{value}</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  , m_Index{index} {}</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> };</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="namespacearmnn_tf_parser.xhtml#ad85fe4a9bf2aff90c53bc2f50c8931e6"> 60</a></span> <span class="keyword">using</span> <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">OutputOfParsedTfOperation</a> = <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">WithOutputTensorIndex<ParsedTfOperation *></a>;</div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="namespacearmnn_tf_parser.xhtml#a4c8735480b01dbd0f75c63377fe054e9"> 61</a></span> <span class="keyword">using</span> <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">OutputOfConstNodeDef</a> = <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">WithOutputTensorIndex<const tensorflow::NodeDef*></a>;</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="namespacearmnn_tf_parser.xhtml#abcf8e5fd95ba7e7bd8cd36fc24974223"> 62</a></span> <span class="keyword">using</span> <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">OutputId</a> = <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">WithOutputTensorIndex<std::string></a>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="classarmnn_tf_parser_1_1_tf_parser.xhtml"> 64</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_tf_parser_1_1_tf_parser.xhtml">TfParser</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_tf_parser_1_1_i_tf_parser.xhtml">ITfParser</a></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> /// Creates the network from a protobuf text file on the disk.</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromTextFile(</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs) <span class="keyword">override</span>;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"></span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"> /// Creates the network from a protobuf binary file on the disk.</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromBinaryFile(</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs) <span class="keyword">override</span>;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"></span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> /// Creates the network directly from protobuf text in a string. Useful for debugging/testing.</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromString(</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* protoText,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs) <span class="keyword">override</span>;</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"> /// Retrieves binding info (layer id and tensor info) for the network input identified by the given layer name.</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn_tf_parser.xhtml#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> GetNetworkInputBindingInfo(<span class="keyword">const</span> std::string& name) <span class="keyword">const override</span>;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"></span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> /// Retrieves binding info (layer id and tensor info) for the network output identified by the given layer name.</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn_tf_parser.xhtml#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> GetNetworkOutputBindingInfo(<span class="keyword">const</span> std::string& name) <span class="keyword">const override</span>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarmnn_tf_parser_1_1_tf_parser.xhtml">TfParser</a>();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarmnn_tf_parser_1_1_tf_parser.xhtml#ad3c8cd69190956793af7af503dc495cd"> 96</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span>ParsedConstTfOperation;</div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classarmnn_tf_parser_1_1_tf_parser.xhtml#a97caa75ebdb49fc10250742b33d29ae7"> 97</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span>ParsedMatMulTfOperation;</div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarmnn_tf_parser_1_1_tf_parser.xhtml#ac28271f7220cd595de55dbb7f99f4a63"> 98</a></span>  <span class="keyword">friend</span> <span class="keyword">class </span>ParsedMulTfOperation;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"></span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> /// Parses a GraphDef loaded into memory from one of the other CreateNetwork*.</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromGraphDef(<span class="keyword">const</span> tensorflow::GraphDef& graphDef,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">const</span> std::map<std::string, armnn::TensorShape>& inputShapes,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">const</span> std::vector<std::string>& requestedOutputs);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"></span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"> /// Sets up variables and then performs BFS to parse all nodes.</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"></span> <span class="keywordtype">void</span> LoadGraphDef(<span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"></span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"> /// Parses a given node, assuming nodes before it in the graph have been done.</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"></span> <span class="keywordtype">void</span> LoadNodeDef(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"></span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> /// Handling identity layers as the input for Conv2D layer.</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="comment"></span> <span class="keyword">const</span> tensorflow::NodeDef* ResolveIdentityNode(<span class="keyword">const</span> tensorflow::NodeDef* nodeDef);<span class="comment"></span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"> /// Finds the nodes connected as inputs of the given node in the graph.</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"></span> std::vector<OutputOfConstNodeDef> GetTfInputNodes(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef) <span class="keyword">const</span>;<span class="comment"></span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"> /// Finds the IParsedTfOperations for the nodes connected as inputs of the given node in the graph,</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"> /// and throws an exception if the number of inputs does not match the expected one.</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"> /// This will automatically resolve any identity nodes. The result vector contains the parsed operation</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"> /// together with the output tensor index to make the connection unambiguous.</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"></span> std::vector<OutputOfParsedTfOperation> GetInputParsedTfOperationsChecked(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  std::size_t expectedNumInputs);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseConst(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="comment"></span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="comment"> /// Checks if there is a pre-parsed const tensor available with the given name and Type.</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="comment"></span> <span class="keyword">template</span><<span class="keyword">typename</span> Type></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">bool</span> HasParsedConstTensor(<span class="keyword">const</span> std::string & nodeName) <span class="keyword">const</span>;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Type></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">bool</span> HasParsedConstTensor(ParsedTfOperation* parsedTfOpPtr) <span class="keyword">const</span>;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> GetConstInputIndex(<span class="keyword">const</span> std::vector<OutputOfParsedTfOperation>& inputs);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseAdd(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseAddN(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseBiasAdd(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseConv2D(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseDepthwiseConv2D(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseExpandDims(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseFusedBatchNorm(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseConcat(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseIdentity(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseLrn(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseMatMul(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseMean(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseMul(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParsePlaceholder(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseRealDiv(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseRelu(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseRelu6(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseReshape(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseResizeBilinear(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseRsqrt(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseShape(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseSqueeze(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseSigmoid(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseSoftmax(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseSoftplus(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseSplit(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseStridedSlice(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseTanh(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseMaxPool(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseAvgPool(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParsePooling2d(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">const</span> tensorflow::GraphDef& graphDef,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a> pooltype);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseEqual(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseMaximum(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseMinimum(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseGather(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseGreater(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParsePad(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseSub(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseStack(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ParseTranspose(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> AddActivationLayer(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a>& desc);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> AddAdditionLayer(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keywordtype">bool</span> isBiasAdd = <span class="keyword">false</span>);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> AddRealDivLayer(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> AddMaximumLayer(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* AddMultiplicationLayer(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* AddFullyConnectedLayer(<span class="keyword">const</span> tensorflow::NodeDef& matMulNodeDef,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">const</span> tensorflow::NodeDef* addNodeDef, <span class="keyword">const</span> <span class="keywordtype">char</span>* armnnLayerName);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordtype">bool</span> IsSupportedLeakyReluPattern(<span class="keyword">const</span> tensorflow::NodeDef& mulNodeDef,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordtype">size_t</span> alphaLayerIndex,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">OutputOfParsedTfOperation</a>& otherOp,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>** outputOfLeakyRelu,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a> & desc);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  std::pair<armnn::IOutputSlot*, armnn::IOutputSlot*> ProcessElementwiseInputSlots(</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">const</span> tensorflow::NodeDef& nodeDef, <span class="keyword">const</span> std::string& layerName);</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="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ProcessComparisonLayer(</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* input0Slot,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* input1Slot,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> layer,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keyword">const</span> tensorflow::NodeDef& nodeDef);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a> ProcessElementwiseLayer(</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* input0Slot,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* input1Slot,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> layer,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">const</span> tensorflow::NodeDef& nodeDef);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* CreateAdditionLayer(</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">const</span> tensorflow::NodeDef& nodeDef,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* input0Slot,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* input1Slot,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> std::string& layerName);</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>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* CreateAdditionLayer(</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keyword">const</span> tensorflow::NodeDef& nodeDef,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">OutputOfParsedTfOperation</a>& opOne,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">OutputOfParsedTfOperation</a>& opTwo,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfAddition);</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>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* CreateAdditionLayer(</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> tensorflow::NodeDef& nodeDef,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layerOne,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layerTwo,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfAddition,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> numberOfLayersToConnect,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordtype">bool</span> isOdd);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* CreateAdditionLayer(</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">const</span> tensorflow::NodeDef& nodeDef,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">OutputOfParsedTfOperation</a>& op,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">static</span> std::pair<armnn::LayerBindingId, armnn::TensorInfo> GetBindingInfo(<span class="keyword">const</span> std::string& layerName,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* bindingPointDesc,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">const</span> std::unordered_map<std::string, BindingPointInfo>& nameToBindingInfo);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordtype">void</span> TrackInputBinding(<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordtype">void</span> TrackOutputBinding(<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> TrackBindingPoint(<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* bindingPointDesc,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  std::unordered_map<std::string, BindingPointInfo>& nameToBindingInfo);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordtype">void</span> Cleanup();</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="comment"></span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</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="l00252"></a><span class="lineno"> 252</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> m_Network;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">using</span> OperationParsingFunction = <a class="code" href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">ParsedTfOperationPtr</a>(<a class="code" href="classarmnn_tf_parser_1_1_tf_parser.xhtml">TfParser</a>::*)(<span class="keyword">const</span> tensorflow::NodeDef& nodeDef,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">const</span> tensorflow::GraphDef& graphDef);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="comment"></span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="comment"> /// Map of TensorFlow operation names to parsing member functions.</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="comment"></span> <span class="keyword">static</span> <span class="keyword">const</span> std::map<std::string, OperationParsingFunction> ms_OperationNameToParsingFunctions;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">static</span> <span class="keyword">const</span> std::list<std::string> m_ControlInputs;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  std::map<std::string, armnn::TensorShape> m_InputShapes;</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  std::vector<std::string> m_RequestedOutputs;</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="comment"></span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="comment"> /// Map of nodes extracted from the GraphDef to speed up parsing.</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="comment"></span> std::unordered_map<std::string, const tensorflow::NodeDef*> m_NodesByName;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  std::unordered_map<std::string, ParsedTfOperationPtr> m_ParsedTfOperations;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="comment"></span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="comment"> /// Maps input layer names to their corresponding ids and tensor info.</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="comment"></span> std::unordered_map<std::string, BindingPointInfo> m_NetworkInputsBindingInfo;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="comment"></span></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="comment"> /// Maps output layer names to their corresponding ids and tensor info.</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="comment"></span> std::unordered_map<std::string, BindingPointInfo> m_NetworkOutputsBindingInfo;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> };</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> }</div><div class="ttc" id="structarmnn_tf_parser_1_1_with_output_tensor_index_xhtml_af8b91afcb4d4623d1a3697baa8a85814"><div class="ttname"><a href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#af8b91afcb4d4623d1a3697baa8a85814">armnnTfParser::WithOutputTensorIndex::WithOutputTensorIndex</a></div><div class="ttdeci">WithOutputTensorIndex(T &&value, unsigned int index)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_parser_8hpp_source.xhtml#l00055">TfParser.hpp:55</a></div></div> +<div class="ttc" id="namespacetensorflow_xhtml"><div class="ttname"><a href="namespacetensorflow.xhtml">tensorflow</a></div><div class="ttdef"><b>Definition:</b> <a href="_tf_parser_8hpp_source.xhtml#l00025">TfParser.hpp:25</a></div></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#l00061">INetwork.hpp:61</a></div></div> +<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_tf_parser_xhtml_a9084adbf804022c874039ad40d1939e9"><div class="ttname"><a href="namespacearmnn_tf_parser.xhtml#a9084adbf804022c874039ad40d1939e9">armnnTfParser::BindingPointInfo</a></div><div class="ttdeci">armnn::BindingPointInfo BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_parser_8hpp_source.xhtml#l00019">ITfParser.hpp:19</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="structarmnn_tf_parser_1_1_with_output_tensor_index_xhtml_a271b1a398c11fb4bf8603119041562c9"><div class="ttname"><a href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#a271b1a398c11fb4bf8603119041562c9">armnnTfParser::WithOutputTensorIndex::m_Index</a></div><div class="ttdeci">unsigned int m_Index</div><div class="ttdef"><b>Definition:</b> <a href="_tf_parser_8hpp_source.xhtml#l00049">TfParser.hpp:49</a></div></div> +<div class="ttc" id="structarmnn_tf_parser_1_1_with_output_tensor_index_xhtml_af35b2c8744db2d46349da7ebd547a157"><div class="ttname"><a href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#af35b2c8744db2d46349da7ebd547a157">armnnTfParser::WithOutputTensorIndex::WithOutputTensorIndex</a></div><div class="ttdeci">WithOutputTensorIndex(const T &value, unsigned int index)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_parser_8hpp_source.xhtml#l00051">TfParser.hpp:51</a></div></div> +<div class="ttc" id="_i_tf_parser_8hpp_xhtml"><div class="ttname"><a href="_i_tf_parser_8hpp.xhtml">ITfParser.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div> +<div class="ttc" id="namespacearmnn_tf_parser_xhtml"><div class="ttname"><a href="namespacearmnn_tf_parser.xhtml">armnnTfParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_parser_8hpp_source.xhtml#l00016">ITfParser.hpp:16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a></div><div class="ttdeci">PoolingAlgorithm</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00096">Types.hpp:96</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00171">Types.hpp:171</a></div></div> +<div class="ttc" id="namespacearmnn_tf_parser_xhtml_aa36bf288c19fe35767bb6e059636f405"><div class="ttname"><a href="namespacearmnn_tf_parser.xhtml#aa36bf288c19fe35767bb6e059636f405">armnnTfParser::ParsedTfOperationPtr</a></div><div class="ttdeci">std::unique_ptr< ParsedTfOperation > ParsedTfOperationPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_parser_8hpp_source.xhtml#l00035">TfParser.hpp:35</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#l00037">INetwork.hpp:37</a></div></div> +<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div> +<div class="ttc" id="structarmnn_tf_parser_1_1_with_output_tensor_index_xhtml"><div class="ttname"><a href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml">armnnTfParser::WithOutputTensorIndex</a></div><div class="ttdoc">WithOutputTensorIndex wraps a value and an index. </div><div class="ttdef"><b>Definition:</b> <a href="_tf_parser_8hpp_source.xhtml#l00046">TfParser.hpp:46</a></div></div> +<div class="ttc" id="structarmnn_tf_parser_1_1_with_output_tensor_index_xhtml_a08f2876bc5d60ed9c711ac7c26747305"><div class="ttname"><a href="structarmnn_tf_parser_1_1_with_output_tensor_index.xhtml#a08f2876bc5d60ed9c711ac7c26747305">armnnTfParser::WithOutputTensorIndex::m_IndexedValue</a></div><div class="ttdeci">T m_IndexedValue</div><div class="ttdef"><b>Definition:</b> <a href="_tf_parser_8hpp_source.xhtml#l00048">TfParser.hpp:48</a></div></div> +<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00020">Descriptors.hpp:20</a></div></div> +<div class="ttc" id="_i_network_8hpp_xhtml"><div class="ttname"><a href="_i_network_8hpp.xhtml">INetwork.hpp</a></div></div> +<div class="ttc" id="classarmnn_tf_parser_1_1_i_tf_parser_xhtml"><div class="ttname"><a href="classarmnn_tf_parser_1_1_i_tf_parser.xhtml">armnnTfParser::ITfParser</a></div><div class="ttdoc">Parses a directed acyclic graph from a tensorflow protobuf file. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_parser_8hpp_source.xhtml#l00025">ITfParser.hpp:25</a></div></div> +<div class="ttc" id="classarmnn_tf_parser_1_1_tf_parser_xhtml"><div class="ttname"><a href="classarmnn_tf_parser_1_1_tf_parser.xhtml">armnnTfParser::TfParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_tf_parser_8hpp_source.xhtml#l00064">TfParser.hpp:64</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#l00101">INetwork.hpp:101</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_50aba35e23cba3c8856f8642cc06d5dc.xhtml">armnnTfParser</a></li><li class="navelem"><a class="el" href="_tf_parser_8hpp.xhtml">TfParser.hpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:10 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> |