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diff --git a/20.02/_tf_lite_parser_8hpp_source.xhtml b/20.02/_tf_lite_parser_8hpp_source.xhtml new file mode 100644 index 0000000000..8b66f24440 --- /dev/null +++ b/20.02/_tf_lite_parser_8hpp_source.xhtml @@ -0,0 +1,162 @@ +<!-- 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/armnnTfLiteParser/TfLiteParser.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_lite_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">TfLiteParser.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_tf_lite_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_network_8hpp.xhtml">armnn/INetwork.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_i_tf_lite_parser_8hpp.xhtml">armnnTfLiteParser/ITfLiteParser.hpp</a>"</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> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <schema_generated.h></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <functional></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <unordered_map></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <vector></span></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">namespace </span><a class="code" href="namespacearmnn_tf_lite_parser.xhtml">armnnTfLiteParser</a></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml"> 19</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml">TfLiteParser</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml">ITfLiteParser</a></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="comment">// Shorthands for TfLite types</span></div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c"> 23</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> = std::unique_ptr<tflite::ModelT>;</div><div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a988cb5e216eb87d854414c6a0282eeb4"> 24</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a988cb5e216eb87d854414c6a0282eeb4">SubgraphPtr</a> = std::unique_ptr<tflite::SubGraphT>;</div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aadad81a95152fe5aad839db352d4012c"> 25</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aadad81a95152fe5aad839db352d4012c">OperatorPtr</a> = std::unique_ptr<tflite::OperatorT>;</div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ab80edc19da7460a95a0ac05902f244b7"> 26</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ab80edc19da7460a95a0ac05902f244b7">OperatorCodePtr</a> = std::unique_ptr<tflite::OperatorCodeT>;</div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a4ab952e29d01028931f75f997ad7cbd4"> 27</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a4ab952e29d01028931f75f997ad7cbd4">TensorPtr</a> = std::unique_ptr<tflite::TensorT>;</div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ac3486e6c1a291aa67efd8b280ffb83cc"> 28</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ac3486e6c1a291aa67efd8b280ffb83cc">TensorRawPtr</a> = <span class="keyword">const</span> tflite::TensorT *;</div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abd8bee7fb9b86485a60bc7ee05114270"> 29</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abd8bee7fb9b86485a60bc7ee05114270">TensorRawPtrVector</a> = std::vector<TensorRawPtr>;</div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a7553cea300edaeb5722990f99f042ef0"> 30</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a7553cea300edaeb5722990f99f042ef0">TensorIdRawPtr</a> = std::pair<size_t, TensorRawPtr>;</div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a86428e0c674542488c7292dfbe2ce381"> 31</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a86428e0c674542488c7292dfbe2ce381">TensorIdRawPtrVector</a> = std::vector<TensorIdRawPtr>;</div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ab93d9fb8a272789623edfa0b214c40f9"> 32</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ab93d9fb8a272789623edfa0b214c40f9">BufferPtr</a> = std::unique_ptr<tflite::BufferT>;</div><div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aaafbda6e6816876b3d7963cfe64dd2f8"> 33</a></span>  <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aaafbda6e6816876b3d7963cfe64dd2f8">BufferRawPtr</a> = <span class="keyword">const</span> tflite::BufferT *;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> /// Create the network from a flatbuffers binary file on disk</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a012b24cafd443425314d4f9e06cec6c1">CreateNetworkFromBinaryFile</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* graphFile) <span class="keyword">override</span>;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> /// Create the network from a flatbuffers binary</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ae8ee09f5e3e78ecfdf00acfdc37588dc">CreateNetworkFromBinary</a>(<span class="keyword">const</span> std::vector<uint8_t> & binaryContent) <span class="keyword">override</span>;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"></span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"> /// Retrieve binding info (layer id and tensor info) for the network input identified by</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> /// the given layer name and subgraph id</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn_tf_lite_parser.xhtml#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a91ba75587a31033088cb4f156e847efb">GetNetworkInputBindingInfo</a>(<span class="keywordtype">size_t</span> subgraphId,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> std::string& name) <span class="keyword">const override</span>;</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"> /// Retrieve binding info (layer id and tensor info) for the network output identified by</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> /// the given layer name and subgraph id</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn_tf_lite_parser.xhtml#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a475b7cb5db683bb6fbb1c3fae40cb2b3">GetNetworkOutputBindingInfo</a>(<span class="keywordtype">size_t</span> subgraphId,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">const</span> std::string& name) <span class="keyword">const override</span>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"></span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> /// Return the number of subgraphs in the parsed model</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">size_t</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ae18739116b52dbab31bbf490450beb90">GetSubgraphCount</a>() <span class="keyword">const override</span>;</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"> /// Return the input tensor names for a given subgraph</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"></span> <span class="keyword">virtual</span> std::vector<std::string> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a58501692772880e7ef55485a4c95aab9">GetSubgraphInputTensorNames</a>(<span class="keywordtype">size_t</span> subgraphId) <span class="keyword">const override</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"> /// Return the output tensor names for a given subgraph</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"></span> <span class="keyword">virtual</span> std::vector<std::string> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ab97e69d07f06e392bd0cc2e5bcbf1be6">GetSubgraphOutputTensorNames</a>(<span class="keywordtype">size_t</span> subgraphId) <span class="keyword">const override</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>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a2ed4853234865d838da50085da99b2a6">TfLiteParser</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<ITfLiteParser::TfLiteParserOptions></a>& <a class="code" href="_file_only_profiling_decorator_tests_8cpp.xhtml#a6560146509197f3e197d8d36f76c1347">options</a> = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>());</div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#af022366efc39da82d47a5fa390be50f5"> 63</a></span>  <span class="keyword">virtual</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#af022366efc39da82d47a5fa390be50f5">~TfLiteParser</a>() {}</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// testable helpers</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ac5411554ab8c02ca286af52c98f6bd87">LoadModelFromFile</a>(<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="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a858104f225c302988fba35c1cb299066">LoadModelFromBinary</a>(<span class="keyword">const</span> uint8_t * binaryContent, <span class="keywordtype">size_t</span> len);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abd8bee7fb9b86485a60bc7ee05114270">TensorRawPtrVector</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a4b49afca01112a4f4d023726ccd38876">GetInputs</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> & model, <span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abd8bee7fb9b86485a60bc7ee05114270">TensorRawPtrVector</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a84ad865bb9b5fa0e4841aa35a14a14d8">GetOutputs</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> & model, <span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a86428e0c674542488c7292dfbe2ce381">TensorIdRawPtrVector</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abda91b07a94d0f498b76655e03647d9a">GetSubgraphInputs</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> & model, <span class="keywordtype">size_t</span> subgraphIndex);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a86428e0c674542488c7292dfbe2ce381">TensorIdRawPtrVector</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#afba7f99227765786c4ed9cb2acc09739">GetSubgraphOutputs</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> & model, <span class="keywordtype">size_t</span> subgraphIndex);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">static</span> std::vector<int32_t>& <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a8b4b0b88a5e79a88b8b60db76398f575">GetInputTensorIds</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a>& model, <span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">static</span> std::vector<int32_t>& <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#afe6c475f92d02dd1eb12acd746e4736f">GetOutputTensorIds</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a>& model, <span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aaafbda6e6816876b3d7963cfe64dd2f8">BufferRawPtr</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a5336d7700f4a5bcc272fbc9216541222">GetBuffer</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a>& model, <span class="keywordtype">size_t</span> bufferIndex);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aa0a90d432c9c41f9846f41f11c9e54c9">OutputShapeOfSqueeze</a>(<span class="keyword">const</span> std::vector<uint32_t> & squeezeDims,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & inputTensorInfo);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aaebfa9a01a0bb8a0935114ff0140cc45">OutputShapeOfReshape</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & inputTensorInfo,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> std::vector<int32_t> & targetDimsIn);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// No copying allowed until it is wanted and properly implemented</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a2ed4853234865d838da50085da99b2a6">TfLiteParser</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml">TfLiteParser</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml">TfLiteParser</a> & operator=(<span class="keyword">const</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml">TfLiteParser</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"></span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"> /// Create the network from an already loaded flatbuffers model</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> CreateNetworkFromModel();</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>  <span class="comment">// signature for the parser functions</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">using</span> OperatorParsingFunction = void(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml">TfLiteParser</a>::*)(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">void</span> ParseCustomOperator(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordtype">void</span> ParseUnsupportedOperator(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</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> ParseActivation(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex, <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9ea">armnn::ActivationFunction</a> activationType);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">void</span> ParseAdd(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">void</span> ParseAveragePool2D(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordtype">void</span> ParseBatchToSpaceND(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordtype">void</span> ParseConcatenation(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">void</span> ParseConv2D(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">void</span> ParseDepthwiseConv2D(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">void</span> ParseDequantize(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">void</span> ParseDetectionPostProcess(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordtype">void</span> ParseFullyConnected(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordtype">void</span> ParseLogistic(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordtype">void</span> ParseL2Normalization(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">void</span> ParseMaxPool2D(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">void</span> ParseMaximum(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordtype">void</span> ParseMean(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">void</span> ParseMinimum(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">void</span> ParseMul(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordtype">void</span> ParsePack(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordtype">void</span> ParsePad(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordtype">void</span> ParsePool(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex, <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a> algorithm);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">void</span> ParseQuantize(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">void</span> ParseRelu(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordtype">void</span> ParseRelu6(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordtype">void</span> ParseReshape(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordtype">void</span> ParseResize(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex, <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">armnn::ResizeMethod</a> resizeMethod);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">void</span> ParseResizeBilinear(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">void</span> ParseResizeNearestNeighbor(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordtype">void</span> ParseSlice(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">void</span> ParseSoftmax(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">void</span> ParseSpaceToBatchND(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordtype">void</span> ParseSplit(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordtype">void</span> ParseSqueeze(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">void</span> ParseStridedSlice(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">void</span> ParseSub(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">void</span> ParseTanH(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordtype">void</span> ParseTranspose(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">void</span> ParseTransposeConv(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">void</span> ParseUnpack(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> operatorIndex);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordtype">void</span> RegisterProducerOfTensor(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> tensorIndex, <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* slot);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordtype">void</span> RegisterConsumerOfTensor(<span class="keywordtype">size_t</span> subgraphIndex, <span class="keywordtype">size_t</span> tensorIndex, <a class="code" href="classarmnn_1_1_i_input_slot.xhtml">armnn::IInputSlot</a>* slot);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordtype">void</span> RegisterInputSlots(<span class="keywordtype">size_t</span> subgraphIndex,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordtype">size_t</span> operatorIndex,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">const</span> std::vector<unsigned int>& tensorIndexes);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordtype">void</span> RegisterOutputSlots(<span class="keywordtype">size_t</span> subgraphIndex,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordtype">size_t</span> operatorIndex,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <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::vector<unsigned int>& tensorIndexes);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordtype">void</span> SetupInputLayers(<span class="keywordtype">size_t</span> subgraphIndex);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordtype">void</span> SetupOutputLayers(<span class="keywordtype">size_t</span> subgraphIndex);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">void</span> SetupConstantLayers(<span class="keywordtype">size_t</span> subgraphIndex);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordtype">void</span> ResetParser();</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> AddBroadcastReshapeLayer(<span class="keywordtype">size_t</span> subgraphIndex,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordtype">size_t</span> operatorIndex,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="comment"></span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="comment"> /// Attach an activation layer to the one passed as a parameter</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* AddFusedActivationLayer(<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSlot,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  tflite::ActivationFunctionType activationType);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="comment">// SupportedDataStorage's purpose is to hold data till we pass over to the network.</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// We don't care about the content, and we want a single datatype to simplify the code.</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">struct </span>SupportedDataStorage</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Convenience constructors</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  SupportedDataStorage(std::unique_ptr<<span class="keywordtype">float</span>[]>&& data);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  SupportedDataStorage(std::unique_ptr<uint8_t[]>&& data);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  SupportedDataStorage(std::unique_ptr<int8_t[]>&& data);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  SupportedDataStorage(std::unique_ptr<int32_t[]>&& data);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">// Pointers to the data buffers</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  std::unique_ptr<float[]> m_FloatData;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  std::unique_ptr<uint8_t[]> m_Uint8Data;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  std::unique_ptr<int8_t[]> m_Int8Data;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  std::unique_ptr<int32_t[]> m_Int32Data;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  };</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> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  std::pair<armnn::ConstTensor, TfLiteParser::SupportedDataStorage></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  CreateConstTensorAndStoreData(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aaafbda6e6816876b3d7963cfe64dd2f8">TfLiteParser::BufferRawPtr</a> bufferPtr,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ac3486e6c1a291aa67efd8b280ffb83cc">TfLiteParser::TensorRawPtr</a> tensorPtr,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::PermutationVector&></a> permutationVector);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  std::pair<armnn::ConstTensor, SupportedDataStorage></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  CreateConstTensor(<a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ac3486e6c1a291aa67efd8b280ffb83cc">TensorRawPtr</a> tensorPtr,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<armnn::PermutationVector&></a> permutationVector);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="comment">// Settings for configuring the TfLiteParser</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<ITfLiteParser::TfLiteParserOptions></a> m_Options;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="comment"></span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</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="l00197"></a><span class="lineno"> 197</span> <span class="comment"></span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> m_Network;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">ModelPtr</a> m_Model;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  std::vector<OperatorParsingFunction> m_ParserFunctions;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  std::unordered_map<std::string, OperatorParsingFunction> m_CustomParserFunctions;</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"> /// A mapping of an output slot to each of the input slots it should be connected to</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</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="l00205"></a><span class="lineno"> 205</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="l00206"></a><span class="lineno"> 206</span> <span class="comment"></span> <span class="keyword">struct </span>TensorSlots</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* outputSlot;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  std::vector<armnn::IInputSlot*> inputSlots;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  TensorSlots() : outputSlot(<span class="keyword">nullptr</span>) { }</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>  <span class="keyword">typedef</span> std::vector<TensorSlots> TensorConnections;<span class="comment"></span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="comment"> /// Connections for tensors in each subgraph</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="comment"> /// The first index is the subgraph ID, the second index is the tensor ID</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="comment"></span> std::vector<TensorConnections> m_SubgraphConnections;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="comment"></span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="comment"> /// This is used in case that the model does not speciry the output.</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="comment"> /// The shape can be calculated from the options.</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="comment"></span> std::vector<std::vector<unsigned int>> m_OverridenOutputShapes;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> };</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> }</div><div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a012b24cafd443425314d4f9e06cec6c1"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a012b24cafd443425314d4f9e06cec6c1">armnnTfLiteParser::TfLiteParser::CreateNetworkFromBinaryFile</a></div><div class="ttdeci">virtual armnn::INetworkPtr CreateNetworkFromBinaryFile(const char *graphFile) override</div><div class="ttdoc">Create the network from a flatbuffers binary file on disk. </div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l00598">TfLiteParser.cpp:598</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a475b7cb5db683bb6fbb1c3fae40cb2b3"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a475b7cb5db683bb6fbb1c3fae40cb2b3">armnnTfLiteParser::TfLiteParser::GetNetworkOutputBindingInfo</a></div><div class="ttdeci">virtual BindingPointInfo GetNetworkOutputBindingInfo(size_t subgraphId, const std::string &name) const override</div><div class="ttdoc">Retrieve binding info (layer id and tensor info) for the network output identified by the given layer...</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02985">TfLiteParser.cpp:2985</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a988cb5e216eb87d854414c6a0282eeb4"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a988cb5e216eb87d854414c6a0282eeb4">armnnTfLiteParser::TfLiteParser::SubgraphPtr</a></div><div class="ttdeci">std::unique_ptr< tflite::SubGraphT > SubgraphPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00024">TfLiteParser.hpp:24</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a5336d7700f4a5bcc272fbc9216541222"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a5336d7700f4a5bcc272fbc9216541222">armnnTfLiteParser::TfLiteParser::GetBuffer</a></div><div class="ttdeci">static BufferRawPtr GetBuffer(const ModelPtr &model, size_t bufferIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02886">TfLiteParser.cpp:2886</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="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a858104f225c302988fba35c1cb299066"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a858104f225c302988fba35c1cb299066">armnnTfLiteParser::TfLiteParser::LoadModelFromBinary</a></div><div class="ttdeci">static ModelPtr LoadModelFromBinary(const uint8_t *binaryContent, size_t len)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02648">TfLiteParser.cpp:2648</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_ae8ee09f5e3e78ecfdf00acfdc37588dc"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ae8ee09f5e3e78ecfdf00acfdc37588dc">armnnTfLiteParser::TfLiteParser::CreateNetworkFromBinary</a></div><div class="ttdeci">virtual armnn::INetworkPtr CreateNetworkFromBinary(const std::vector< uint8_t > &binaryContent) override</div><div class="ttdoc">Create the network from a flatbuffers binary. </div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l00605">TfLiteParser.cpp:605</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="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_abd8bee7fb9b86485a60bc7ee05114270"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abd8bee7fb9b86485a60bc7ee05114270">armnnTfLiteParser::TfLiteParser::TensorRawPtrVector</a></div><div class="ttdeci">std::vector< TensorRawPtr > TensorRawPtrVector</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00029">TfLiteParser.hpp:29</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="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_ab80edc19da7460a95a0ac05902f244b7"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ab80edc19da7460a95a0ac05902f244b7">armnnTfLiteParser::TfLiteParser::OperatorCodePtr</a></div><div class="ttdeci">std::unique_ptr< tflite::OperatorCodeT > OperatorCodePtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00026">TfLiteParser.hpp:26</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a7553cea300edaeb5722990f99f042ef0"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a7553cea300edaeb5722990f99f042ef0">armnnTfLiteParser::TfLiteParser::TensorIdRawPtr</a></div><div class="ttdeci">std::pair< size_t, TensorRawPtr > TensorIdRawPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00030">TfLiteParser.hpp:30</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_ac5411554ab8c02ca286af52c98f6bd87"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ac5411554ab8c02ca286af52c98f6bd87">armnnTfLiteParser::TfLiteParser::LoadModelFromFile</a></div><div class="ttdeci">static ModelPtr LoadModelFromFile(const char *fileName)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02624">TfLiteParser.cpp:2624</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml">armnnTfLiteParser::TfLiteParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00019">TfLiteParser.hpp:19</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a4b49afca01112a4f4d023726ccd38876"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a4b49afca01112a4f4d023726ccd38876">armnnTfLiteParser::TfLiteParser::GetInputs</a></div><div class="ttdeci">static TensorRawPtrVector GetInputs(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02667">TfLiteParser.cpp:2667</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_ab93d9fb8a272789623edfa0b214c40f9"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ab93d9fb8a272789623edfa0b214c40f9">armnnTfLiteParser::TfLiteParser::BufferPtr</a></div><div class="ttdeci">std::unique_ptr< tflite::BufferT > BufferPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00032">TfLiteParser.hpp:32</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser_xhtml"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml">armnnTfLiteParser::ITfLiteParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.xhtml#l00025">ITfLiteParser.hpp:25</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a91ba75587a31033088cb4f156e847efb"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a91ba75587a31033088cb4f156e847efb">armnnTfLiteParser::TfLiteParser::GetNetworkInputBindingInfo</a></div><div class="ttdeci">virtual BindingPointInfo GetNetworkInputBindingInfo(size_t subgraphId, const std::string &name) const override</div><div class="ttdoc">Retrieve binding info (layer id and tensor info) for the network input identified by the given layer ...</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02955">TfLiteParser.cpp:2955</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_ae18739116b52dbab31bbf490450beb90"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ae18739116b52dbab31bbf490450beb90">armnnTfLiteParser::TfLiteParser::GetSubgraphCount</a></div><div class="ttdeci">virtual size_t GetSubgraphCount() const override</div><div class="ttdoc">Return the number of subgraphs in the parsed model. </div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l03018">TfLiteParser.cpp:3018</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="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_aaebfa9a01a0bb8a0935114ff0140cc45"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aaebfa9a01a0bb8a0935114ff0140cc45">armnnTfLiteParser::TfLiteParser::OutputShapeOfReshape</a></div><div class="ttdeci">static armnn::TensorInfo OutputShapeOfReshape(const armnn::TensorInfo &inputTensorInfo, const std::vector< int32_t > &targetDimsIn)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l01898">TfLiteParser.cpp:1898</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a4ab952e29d01028931f75f997ad7cbd4"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a4ab952e29d01028931f75f997ad7cbd4">armnnTfLiteParser::TfLiteParser::TensorPtr</a></div><div class="ttdeci">std::unique_ptr< tflite::TensorT > TensorPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00027">TfLiteParser.hpp:27</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_abda91b07a94d0f498b76655e03647d9a"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abda91b07a94d0f498b76655e03647d9a">armnnTfLiteParser::TfLiteParser::GetSubgraphInputs</a></div><div class="ttdeci">static TensorIdRawPtrVector GetSubgraphInputs(const ModelPtr &model, size_t subgraphIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02706">TfLiteParser.cpp:2706</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a84ad865bb9b5fa0e4841aa35a14a14d8"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a84ad865bb9b5fa0e4841aa35a14a14d8">armnnTfLiteParser::TfLiteParser::GetOutputs</a></div><div class="ttdeci">static TensorRawPtrVector GetOutputs(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02686">TfLiteParser.cpp:2686</a></div></div> +<div class="ttc" id="_i_tf_lite_parser_8hpp_xhtml"><div class="ttname"><a href="_i_tf_lite_parser_8hpp.xhtml">ITfLiteParser.hpp</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_afba7f99227765786c4ed9cb2acc09739"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#afba7f99227765786c4ed9cb2acc09739">armnnTfLiteParser::TfLiteParser::GetSubgraphOutputs</a></div><div class="ttdeci">static TensorIdRawPtrVector GetSubgraphOutputs(const ModelPtr &model, size_t subgraphIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02723">TfLiteParser.cpp:2723</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="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_afe6c475f92d02dd1eb12acd746e4736f"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#afe6c475f92d02dd1eb12acd746e4736f">armnnTfLiteParser::TfLiteParser::GetOutputTensorIds</a></div><div class="ttdeci">static std::vector< int32_t > & GetOutputTensorIds(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02749">TfLiteParser.cpp:2749</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="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a8b4b0b88a5e79a88b8b60db76398f575"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a8b4b0b88a5e79a88b8b60db76398f575">armnnTfLiteParser::TfLiteParser::GetInputTensorIds</a></div><div class="ttdeci">static std::vector< int32_t > & GetInputTensorIds(const ModelPtr &model, size_t subgraphIndex, size_t operatorIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l02739">TfLiteParser.cpp:2739</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_lite_parser_1_1_tf_lite_parser_xhtml_af022366efc39da82d47a5fa390be50f5"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#af022366efc39da82d47a5fa390be50f5">armnnTfLiteParser::TfLiteParser::~TfLiteParser</a></div><div class="ttdeci">virtual ~TfLiteParser()</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00063">TfLiteParser.hpp:63</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="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_aa0a90d432c9c41f9846f41f11c9e54c9"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aa0a90d432c9c41f9846f41f11c9e54c9">armnnTfLiteParser::TfLiteParser::OutputShapeOfSqueeze</a></div><div class="ttdeci">static armnn::TensorInfo OutputShapeOfSqueeze(const std::vector< uint32_t > &squeezeDims, const armnn::TensorInfo &inputTensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l01463">TfLiteParser.cpp:1463</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_aaafbda6e6816876b3d7963cfe64dd2f8"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aaafbda6e6816876b3d7963cfe64dd2f8">armnnTfLiteParser::TfLiteParser::BufferRawPtr</a></div><div class="ttdeci">const tflite::BufferT * BufferRawPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00033">TfLiteParser.hpp:33</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">armnn::ResizeMethod</a></div><div class="ttdeci">ResizeMethod</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00103">Types.hpp:103</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a58501692772880e7ef55485a4c95aab9"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a58501692772880e7ef55485a4c95aab9">armnnTfLiteParser::TfLiteParser::GetSubgraphInputTensorNames</a></div><div class="ttdeci">virtual std::vector< std::string > GetSubgraphInputTensorNames(size_t subgraphId) const override</div><div class="ttdoc">Return the input tensor names for a given subgraph. </div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l03023">TfLiteParser.cpp:3023</a></div></div> +<div class="ttc" id="namespacearmnn_tf_lite_parser_xhtml_a9084adbf804022c874039ad40d1939e9"><div class="ttname"><a href="namespacearmnn_tf_lite_parser.xhtml#a9084adbf804022c874039ad40d1939e9">armnnTfLiteParser::BindingPointInfo</a></div><div class="ttdeci">armnn::BindingPointInfo BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.xhtml#l00020">ITfLiteParser.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_tf_lite_parser_xhtml"><div class="ttname"><a href="namespacearmnn_tf_lite_parser.xhtml">armnnTfLiteParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.xhtml#l00017">ITfLiteParser.hpp:17</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_ab97e69d07f06e392bd0cc2e5bcbf1be6"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ab97e69d07f06e392bd0cc2e5bcbf1be6">armnnTfLiteParser::TfLiteParser::GetSubgraphOutputTensorNames</a></div><div class="ttdeci">virtual std::vector< std::string > GetSubgraphOutputTensorNames(size_t subgraphId) const override</div><div class="ttdoc">Return the output tensor names for a given subgraph. </div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l03036">TfLiteParser.cpp:3036</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 class="ttc" id="_file_only_profiling_decorator_tests_8cpp_xhtml_a6560146509197f3e197d8d36f76c1347"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.xhtml#a6560146509197f3e197d8d36f76c1347">options</a></div><div class="ttdeci">armnn::Runtime::CreationOptions::ExternalProfilingOptions options</div><div class="ttdef"><b>Definition:</b> <a href="_file_only_profiling_decorator_tests_8cpp_source.xhtml#l00045">FileOnlyProfilingDecoratorTests.cpp:45</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_abfc86471394295357a23b3addd0b5b1c"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#abfc86471394295357a23b3addd0b5b1c">armnnTfLiteParser::TfLiteParser::ModelPtr</a></div><div class="ttdeci">std::unique_ptr< tflite::ModelT > ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00023">TfLiteParser.hpp:23</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_ac3486e6c1a291aa67efd8b280ffb83cc"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#ac3486e6c1a291aa67efd8b280ffb83cc">armnnTfLiteParser::TfLiteParser::TensorRawPtr</a></div><div class="ttdeci">const tflite::TensorT * TensorRawPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00028">TfLiteParser.hpp:28</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_aadad81a95152fe5aad839db352d4012c"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#aadad81a95152fe5aad839db352d4012c">armnnTfLiteParser::TfLiteParser::OperatorPtr</a></div><div class="ttdeci">std::unique_ptr< tflite::OperatorT > OperatorPtr</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00025">TfLiteParser.hpp:25</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00024">INetwork.hpp:24</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a2ed4853234865d838da50085da99b2a6"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a2ed4853234865d838da50085da99b2a6">armnnTfLiteParser::TfLiteParser::TfLiteParser</a></div><div class="ttdeci">TfLiteParser(const armnn::Optional< ITfLiteParser::TfLiteParserOptions > &options=armnn::EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l00488">TfLiteParser.cpp:488</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#l00055">Types.hpp:55</a></div></div> +<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_xhtml_a86428e0c674542488c7292dfbe2ce381"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser.xhtml#a86428e0c674542488c7292dfbe2ce381">armnnTfLiteParser::TfLiteParser::TensorIdRawPtrVector</a></div><div class="ttdeci">std::vector< TensorIdRawPtr > TensorIdRawPtrVector</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00031">TfLiteParser.hpp:31</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_510324e450b9df55f9aac2d01fae83d8.xhtml">armnnTfLiteParser</a></li><li class="navelem"><a class="el" href="_tf_lite_parser_8hpp.xhtml">TfLiteParser.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> |