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author | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
commit | 9aed8fb43441228343b925b42464a55042c47ca0 (patch) | |
tree | 4c34534eea1c8e82655ac1f60e3633b9618cc40d /21.11/_inference_model_8hpp_source.xhtml | |
parent | f86be93b7492b381370cae7bf71eca8572a0cbae (diff) | |
download | armnn-9aed8fb43441228343b925b42464a55042c47ca0.tar.gz |
IVGCVSW-6040 Update 21.11 Doxygen Documents
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ia36ec98c4bebc27a69103911ea3409cd7db587a5
Diffstat (limited to '21.11/_inference_model_8hpp_source.xhtml')
-rw-r--r-- | 21.11/_inference_model_8hpp_source.xhtml | 246 |
1 files changed, 246 insertions, 0 deletions
diff --git a/21.11/_inference_model_8hpp_source.xhtml b/21.11/_inference_model_8hpp_source.xhtml new file mode 100644 index 0000000000..354e6bb747 --- /dev/null +++ b/21.11/_inference_model_8hpp_source.xhtml @@ -0,0 +1,246 @@ +<!-- 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: tests/InferenceModel.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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">21.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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('_inference_model_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">InferenceModel.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_inference_model_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 and Contributors. 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> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</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="_arm_n_n_8hpp.xhtml">armnn/ArmNN.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_threadpool_8hpp.xhtml">armnn/Threadpool.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.xhtml">armnn/Logging.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_timer_8hpp.xhtml">armnn/utility/Timer.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_backend_registry_8hpp.xhtml">armnn/BackendRegistry.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_assert_8hpp.xhtml">armnn/utility/Assert.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_numeric_cast_8hpp.xhtml">armnn/utility/NumericCast.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_t_container_8hpp.xhtml">armnnUtils/TContainer.hpp</a>></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"> 19</span> <span class="preprocessor">#include <common/include/ProfilingGuid.hpp></span></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="preprocessor">#if defined(ARMNN_SERIALIZER)</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include "<a class="code" href="_i_deserializer_8hpp.xhtml">armnnDeserializer/IDeserializer.hpp</a>"</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#if defined(ARMNN_TF_LITE_PARSER)</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</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="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <<a class="code" href="_i_onnx_parser_8hpp.xhtml">armnnOnnxParser/IOnnxParser.hpp</a>></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#endif</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="preprocessor">#include <<a class="code" href="_filesystem_8hpp.xhtml">armnnUtils/Filesystem.hpp</a>></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <<a class="code" href="_heap_profiling_8hpp.xhtml">HeapProfiling.hpp</a>></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <<a class="code" href="_tensor_i_o_utils_8hpp.xhtml">TensorIOUtils.hpp</a>></span></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="preprocessor">#include "<a class="code" href="_string_utils_8hpp.xhtml">armnn/utility/StringUtils.hpp</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <cxxopts/cxxopts.hpp></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="_cxxopts_utils_8hpp.xhtml">CxxoptsUtils.hpp</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <fmt/format.h></span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <mapbox/variant.hpp></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include <iterator></span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include <fstream></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#include <map></span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#include <type_traits></span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keyword">inline</span> <span class="keywordtype">bool</span> CheckRequestedBackendsAreValid(<span class="keyword">const</span> std::vector<armnn::BackendId>& backendIds,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<std::string&></a> invalidBackendIds = <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>())</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">if</span> (backendIds.empty())</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</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"> 60</span>  <a class="code" href="namespacearmnn.xhtml#a1854d9cda81304325664363c1fd0fb27">armnn::BackendIdSet</a> validBackendIds = <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>().<a class="code" href="classarmnn_1_1_backend_registry.xhtml#a570cb1835ec73000a7954ba75257904f">GetBackendIds</a>();</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">bool</span> allValid = <span class="keyword">true</span>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& backendId : backendIds)</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="keywordflow">if</span> (std::find(validBackendIds.begin(), validBackendIds.end(), backendId) == validBackendIds.end())</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  allValid = <span class="keyword">false</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">if</span> (invalidBackendIds)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">if</span> (!invalidBackendIds.value().empty())</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  invalidBackendIds.value() += <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  }</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  invalidBackendIds.value() += backendId;</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>  }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> allValid;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> } <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="namespace_inference_model_internal.xhtml"> 83</a></span> <span class="keyword">namespace </span><a class="code" href="namespace_inference_model_internal.xhtml">InferenceModelInternal</a></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> {</div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="namespace_inference_model_internal.xhtml#a9084adbf804022c874039ad40d1939e9"> 85</a></span> <span class="keyword">using</span> <a class="code" href="namespace_inference_model_internal.xhtml#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> = <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a>;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="namespace_inference_model_internal.xhtml#a6e713a319588c57fc854bc478f5ee13a"> 87</a></span> <span class="keyword">using</span> <a class="code" href="namespace_inference_model_internal.xhtml#a6e713a319588c57fc854bc478f5ee13a">QuantizationParams</a> = std::pair<float,int32_t>;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml"> 89</a></span> <span class="keyword">struct </span><a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> {</div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980"> 91</a></span>  std::string <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>;</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0"> 92</a></span>  std::vector<std::string> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>;</div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e"> 93</a></span>  std::vector<armnn::TensorShape> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">m_InputShapes</a>;</div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc"> 94</a></span>  std::vector<std::string> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>;</div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74"> 95</a></span>  std::vector<armnn::BackendId> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">m_ComputeDevices</a>;</div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b"> 96</a></span>  std::string <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>;</div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62"> 97</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62">m_SubgraphId</a>;</div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf"> 98</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">m_IsModelBinary</a>;</div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#aaae50a6c0f73e4c210c2e4331c439482"> 99</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aaae50a6c0f73e4c210c2e4331c439482">m_VisualizePostOptimizationModel</a>;</div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a513151623e8d448951a0b94ad1946fbe"> 100</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a513151623e8d448951a0b94ad1946fbe">m_EnableFp16TurboMode</a>;</div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a0b99050baebe1d169392461b3a9be08d"> 101</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a0b99050baebe1d169392461b3a9be08d">m_EnableBf16TurboMode</a>;</div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#acde2af8cbbd224a9f94e509ca538a775"> 102</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#acde2af8cbbd224a9f94e509ca538a775">m_PrintIntermediateLayers</a>;</div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d"> 103</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">m_ParseUnsupported</a>;</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a2a245a63e87f363df491ad8c35be54c5"> 104</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">m_InferOutputShape</a>;</div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a66f9597b152215daba3211379dad63d3"> 105</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a66f9597b152215daba3211379dad63d3">m_EnableFastMath</a>;</div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53"> 106</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">m_SaveCachedNetwork</a>;</div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012"> 107</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">m_OutputDetailsToStdOut</a>;</div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#ab17deb382179697b4702cc4f909e71f8"> 108</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ab17deb382179697b4702cc4f909e71f8">m_OutputDetailsOnlyToStdOut</a>;</div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a9f8881646a38f828f92d3354930c4165"> 109</a></span>  std::string <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a9f8881646a38f828f92d3354930c4165">m_CachedNetworkFilePath</a>;</div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#adc650e032e7fce99f15e2bf903e7167b"> 110</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">m_NumberOfThreads</a>;</div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef"> 111</a></span>  std::string <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">m_MLGOTuningFilePath</a>;</div><div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#af5e88d9bb91dff85ad5a6f7e190aff4e"> 112</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#af5e88d9bb91dff85ad5a6f7e190aff4e">m_AsyncEnabled</a>;</div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8"> 113</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">m_ThreadPoolSize</a>;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="struct_inference_model_internal_1_1_params.xhtml#a7974597e9d3c848fd265d9445f7cf8cb"> 116</a></span>  <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a7974597e9d3c848fd265d9445f7cf8cb">Params</a>()</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  : m_ComputeDevices{}</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62">m_SubgraphId</a>(0)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">m_IsModelBinary</a>(<span class="keyword">true</span>)</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aaae50a6c0f73e4c210c2e4331c439482">m_VisualizePostOptimizationModel</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a513151623e8d448951a0b94ad1946fbe">m_EnableFp16TurboMode</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a0b99050baebe1d169392461b3a9be08d">m_EnableBf16TurboMode</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#acde2af8cbbd224a9f94e509ca538a775">m_PrintIntermediateLayers</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">m_ParseUnsupported</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">m_InferOutputShape</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a66f9597b152215daba3211379dad63d3">m_EnableFastMath</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">m_SaveCachedNetwork</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">m_OutputDetailsToStdOut</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ab17deb382179697b4702cc4f909e71f8">m_OutputDetailsOnlyToStdOut</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a9f8881646a38f828f92d3354930c4165">m_CachedNetworkFilePath</a>(<span class="stringliteral">""</span>)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">m_NumberOfThreads</a>(0)</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">m_MLGOTuningFilePath</a>(<span class="stringliteral">""</span>)</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#af5e88d9bb91dff85ad5a6f7e190aff4e">m_AsyncEnabled</a>(<span class="keyword">false</span>)</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">m_ThreadPoolSize</a>(0)</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {}</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> };</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> } <span class="comment">// namespace InferenceModelInternal</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IParser></div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="struct_create_network_impl.xhtml"> 141</a></span> <span class="keyword">struct </span><a class="code" href="struct_create_network_impl.xhtml">CreateNetworkImpl</a></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="struct_create_network_impl.xhtml#a2e61c7404108440828ef7a45f310e229"> 144</a></span>  <span class="keyword">using</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a> = <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">InferenceModelInternal::Params</a>;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="struct_create_network_impl.xhtml#a4cbece5e7793be85f9a1e8a0ab9e02f8"> 146</a></span>  <span class="keyword">static</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> <a class="code" href="struct_create_network_impl.xhtml#a4cbece5e7793be85f9a1e8a0ab9e02f8">Create</a>(<span class="keyword">const</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a>& params,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::vector<armnn::BindingPointInfo>& inputBindings,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  std::vector<armnn::BindingPointInfo>& outputBindings)</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="keyword">const</span> std::string& modelPath = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>;</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="comment">// Create a network from a file on disk</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">auto</span> parser(IParser::Create());</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  std::map<std::string, armnn::TensorShape> inputShapes;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">if</span> (!params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">m_InputShapes</a>.empty())</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputShapes = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">m_InputShapes</a>.size();</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputBindings = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>.size();</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">if</span> (numInputShapes < numInputBindings)</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(fmt::format(</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="stringliteral">"Not every input has its tensor shape specified: expected={0}, got={1}"</span>,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  numInputBindings, numInputShapes));</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numInputShapes; i++)</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  {</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  inputShapes[params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>[i]] = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">m_InputShapes</a>[i];</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  }</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> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  std::vector<std::string> requestedOutputs = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network{<span class="keyword">nullptr</span>, [](<a class="code" href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a> *){}};</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  {</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="_heap_profiling_8hpp.xhtml#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"Parsing"</span>);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">// Handle text and binary input differently by calling the corresponding parser function</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  network = (params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">m_IsModelBinary</a> ?</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  parser->CreateNetworkFromBinaryFile(modelPath.c_str(), inputShapes, requestedOutputs) :</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  parser->CreateNetworkFromTextFile(modelPath.c_str(), inputShapes, requestedOutputs));</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> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& inputLayerName : params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>)</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>  inputBindings.push_back(parser->GetNetworkInputBindingInfo(inputLayerName));</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> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& outputLayerName : params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>)</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  outputBindings.push_back(parser->GetNetworkOutputBindingInfo(outputLayerName));</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> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">return</span> network;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> };</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="preprocessor">#if defined(ARMNN_SERIALIZER)</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="keyword">struct </span><a class="code" href="struct_create_network_impl.xhtml">CreateNetworkImpl</a><armnnDeserializer::IDeserializer></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keyword">using</span> IParser = <a class="code" href="classarmnn_deserializer_1_1_i_deserializer.xhtml">armnnDeserializer::IDeserializer</a>;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">using</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a> = <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">InferenceModelInternal::Params</a>;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">static</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> Create(<span class="keyword">const</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a>& params,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  std::vector<armnn::BindingPointInfo>& inputBindings,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  std::vector<armnn::BindingPointInfo>& outputBindings)</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  {</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">auto</span> parser(IParser::Create());</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(parser);</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="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network{<span class="keyword">nullptr</span>, [](<a class="code" href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a> *){}};</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="_heap_profiling_8hpp.xhtml#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"Parsing"</span>);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  std::error_code errorCode;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  fs::path pathToFile(params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">if</span> (!fs::exists(pathToFile, errorCode))</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_file_not_found_exception.xhtml">armnn::FileNotFoundException</a>(fmt::format(<span class="stringliteral">"Cannot find the file ({0}) errorCode: {1} {2}"</span>,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  errorCode.message(),</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</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>  std::ifstream file(params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>, std::ios::binary);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  network = parser->CreateNetworkFromBinary(file);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  }</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> subgraphId = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62">m_SubgraphId</a>);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& inputLayerName : params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>)</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>  <a class="code" href="structarmnn_deserializer_1_1_binding_point_info.xhtml">armnnDeserializer::BindingPointInfo</a> inputBinding =</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  parser->GetNetworkInputBindingInfo(subgraphId, inputLayerName);</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  inputBindings.push_back(std::make_pair(inputBinding.<a class="code" href="structarmnn_deserializer_1_1_binding_point_info.xhtml#a663b3104ec65e4e08b5e37fb42942087">m_BindingId</a>, inputBinding.<a class="code" href="structarmnn_deserializer_1_1_binding_point_info.xhtml#aa308d10e76e29f09e44a933a2d091a79">m_TensorInfo</a>));</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> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& outputLayerName : params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>)</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="structarmnn_deserializer_1_1_binding_point_info.xhtml">armnnDeserializer::BindingPointInfo</a> outputBinding =</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  parser->GetNetworkOutputBindingInfo(subgraphId, outputLayerName);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  outputBindings.push_back(std::make_pair(outputBinding.<a class="code" href="structarmnn_deserializer_1_1_binding_point_info.xhtml#a663b3104ec65e4e08b5e37fb42942087">m_BindingId</a>, outputBinding.<a class="code" href="structarmnn_deserializer_1_1_binding_point_info.xhtml#aa308d10e76e29f09e44a933a2d091a79">m_TensorInfo</a>));</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">return</span> network;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> };</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="preprocessor">#if defined(ARMNN_TF_LITE_PARSER)</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <span class="keyword">struct </span><a class="code" href="struct_create_network_impl.xhtml">CreateNetworkImpl</a><armnnTfLiteParser::ITfLiteParser></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keyword">using</span> IParser = <a class="code" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml">armnnTfLiteParser::ITfLiteParser</a>;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">using</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a> = <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">InferenceModelInternal::Params</a>;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">static</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> Create(<span class="keyword">const</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a>& params,</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  std::vector<armnn::BindingPointInfo>& inputBindings,</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  std::vector<armnn::BindingPointInfo>& outputBindings)</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">const</span> std::string& modelPath = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="comment">// Create a network from a file on disk</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  IParser::TfLiteParserOptions options;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  options.m_StandInLayerForUnsupported = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">m_ParseUnsupported</a>;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  options.m_InferAndValidate = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">m_InferOutputShape</a>;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">auto</span> parser(IParser::Create(options));</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network{<span class="keyword">nullptr</span>, [](<a class="code" href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a> *){}};</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </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>  <a class="code" href="_heap_profiling_8hpp.xhtml#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"Parsing"</span>);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  network = parser->CreateNetworkFromBinaryFile(modelPath.c_str());</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  }</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> </div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& inputLayerName : params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>)</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> inputBinding =</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  parser->GetNetworkInputBindingInfo(params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62">m_SubgraphId</a>, inputLayerName);</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  inputBindings.push_back(inputBinding);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& outputLayerName : params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>)</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> outputBinding =</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  parser->GetNetworkOutputBindingInfo(params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62">m_SubgraphId</a>, outputLayerName);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  outputBindings.push_back(outputBinding);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  }</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">return</span> network;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> };</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="preprocessor">#if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="keyword">struct </span><a class="code" href="struct_create_network_impl.xhtml">CreateNetworkImpl</a><armnnOnnxParser::IOnnxParser></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keyword">using</span> IParser = <a class="code" href="classarmnn_onnx_parser_1_1_i_onnx_parser.xhtml">armnnOnnxParser::IOnnxParser</a>;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keyword">using</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a> = <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">InferenceModelInternal::Params</a>;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">using</span> <a class="code" href="namespace_inference_model_internal.xhtml#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> = <a class="code" href="namespace_inference_model_internal.xhtml#a9084adbf804022c874039ad40d1939e9">InferenceModelInternal::BindingPointInfo</a>;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">static</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> Create(<span class="keyword">const</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a>& params,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  std::vector<BindingPointInfo>& inputBindings,</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  std::vector<BindingPointInfo>& outputBindings)</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  {</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keyword">const</span> std::string& modelPath = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="comment">// Create a network from a file on disk</span></div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keyword">auto</span> parser(IParser::Create());</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network{<span class="keyword">nullptr</span>, [](<a class="code" href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a> *){}};</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  std::map<std::string, armnn::TensorShape> inputShapes;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordflow">if</span> (!params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">m_InputShapes</a>.empty())</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  {</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputShapes = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">m_InputShapes</a>.size();</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputBindings = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>.size();</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">if</span> (numInputShapes < numInputBindings)</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  {</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(fmt::format(</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="stringliteral">"Not every input has its tensor shape specified: expected={0}, got={1}"</span>,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  numInputBindings, numInputShapes));</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  }</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numInputShapes; i++)</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  {</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  inputShapes[params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>[i]] = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">m_InputShapes</a>[i];</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  }</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  {</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <a class="code" href="_heap_profiling_8hpp.xhtml#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"Parsing"</span>);</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  network = (params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">m_IsModelBinary</a> ?</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  parser->CreateNetworkFromBinaryFile(modelPath.c_str(), inputShapes) :</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  parser->CreateNetworkFromTextFile(modelPath.c_str(), inputShapes));</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  }</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  }</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="_heap_profiling_8hpp.xhtml#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"Parsing"</span>);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  network = (params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">m_IsModelBinary</a> ?</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  parser->CreateNetworkFromBinaryFile(modelPath.c_str()) :</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  parser->CreateNetworkFromTextFile(modelPath.c_str()));</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& inputLayerName : params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>)</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  {</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <a class="code" href="namespace_inference_model_internal.xhtml#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> inputBinding = parser->GetNetworkInputBindingInfo(inputLayerName);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  inputBindings.push_back(inputBinding);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  }</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> std::string& outputLayerName : params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>)</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  {</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="namespace_inference_model_internal.xhtml#a9084adbf804022c874039ad40d1939e9">BindingPointInfo</a> outputBinding = parser->GetNetworkOutputBindingInfo(outputLayerName);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  outputBindings.push_back(outputBinding);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">return</span> network;</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  }</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span> };</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> <span class="keyword">template</span> <<span class="keyword">typename</span> IParser, <span class="keyword">typename</span> TDataType></div><div class="line"><a name="l00372"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml"> 372</a></span> <span class="keyword">class </span><a class="code" href="class_inference_model.xhtml">InferenceModel</a></div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> {</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#af6964b8f91085191c5228d1a67db4523"> 375</a></span>  <span class="keyword">using</span> <a class="code" href="class_inference_model.xhtml#af6964b8f91085191c5228d1a67db4523">DataType</a> = TDataType;</div><div class="line"><a name="l00376"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a2e61c7404108440828ef7a45f310e229"> 376</a></span>  <span class="keyword">using</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a> = <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">InferenceModelInternal::Params</a>;</div><div class="line"><a name="l00377"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#ae3ca0528045df8958ce5dcdf9d1af041"> 377</a></span>  <span class="keyword">using</span> <a class="code" href="class_inference_model.xhtml#ae3ca0528045df8958ce5dcdf9d1af041">QuantizationParams</a> = <a class="code" href="namespace_inference_model_internal.xhtml#a6e713a319588c57fc854bc478f5ee13a">InferenceModelInternal::QuantizationParams</a>;</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> </div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div><div class="line"><a name="l00380"></a><span class="lineno"><a class="line" href="struct_inference_model_1_1_command_line_options.xhtml"> 380</a></span>  <span class="keyword">struct </span><a class="code" href="struct_inference_model_1_1_command_line_options.xhtml">CommandLineOptions</a></div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  {</div><div class="line"><a name="l00382"></a><span class="lineno"><a class="line" href="struct_inference_model_1_1_command_line_options.xhtml#a2c0d69e50a4269073a6ce52c55a1a9bb"> 382</a></span>  std::string <a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a2c0d69e50a4269073a6ce52c55a1a9bb">m_ModelDir</a>;</div><div class="line"><a name="l00383"></a><span class="lineno"><a class="line" href="struct_inference_model_1_1_command_line_options.xhtml#a2b6e92b247e830ff78d04266ff130a92"> 383</a></span>  std::vector<std::string> <a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a2b6e92b247e830ff78d04266ff130a92">m_ComputeDevices</a>;</div><div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="struct_inference_model_1_1_command_line_options.xhtml#ae43cf4b5df0068ee6a9151c98947248b"> 384</a></span>  std::string <a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>;</div><div class="line"><a name="l00385"></a><span class="lineno"><a class="line" href="struct_inference_model_1_1_command_line_options.xhtml#aaae50a6c0f73e4c210c2e4331c439482"> 385</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#aaae50a6c0f73e4c210c2e4331c439482">m_VisualizePostOptimizationModel</a>;</div><div class="line"><a name="l00386"></a><span class="lineno"><a class="line" href="struct_inference_model_1_1_command_line_options.xhtml#a513151623e8d448951a0b94ad1946fbe"> 386</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a513151623e8d448951a0b94ad1946fbe">m_EnableFp16TurboMode</a>;</div><div class="line"><a name="l00387"></a><span class="lineno"><a class="line" href="struct_inference_model_1_1_command_line_options.xhtml#a0b99050baebe1d169392461b3a9be08d"> 387</a></span>  <span class="keywordtype">bool</span> <a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a0b99050baebe1d169392461b3a9be08d">m_EnableBf16TurboMode</a>;</div><div class="line"><a name="l00388"></a><span class="lineno"><a class="line" href="struct_inference_model_1_1_command_line_options.xhtml#a237e6ca9811ae2195fbe8f30aa696e5b"> 388</a></span>  std::string <a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a237e6ca9811ae2195fbe8f30aa696e5b">m_Labels</a>;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> </div><div class="line"><a name="l00390"></a><span class="lineno"><a class="line" href="struct_inference_model_1_1_command_line_options.xhtml#a56f7be77245196289f2bf0cce1dca31c"> 390</a></span>  std::vector<armnn::BackendId> <a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a56f7be77245196289f2bf0cce1dca31c">GetComputeDevicesAsBackendIds</a>()</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  {</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  std::vector<armnn::BackendId> backendIds;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  std::copy(m_ComputeDevices.begin(), m_ComputeDevices.end(), std::back_inserter(backendIds));</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">return</span> backendIds;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  };</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> </div><div class="line"><a name="l00398"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a22794efa5d496a49a33739dd99087841"> 398</a></span>  <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="class_inference_model.xhtml#a22794efa5d496a49a33739dd99087841">AddCommandLineOptions</a>(cxxopts::Options& options,</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <a class="code" href="struct_inference_model_1_1_command_line_options.xhtml">CommandLineOptions</a>& cLineOptions, std::vector<std::string>& required)</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  {</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">const</span> std::vector<std::string> defaultComputes = { <span class="stringliteral">"CpuAcc"</span>, <span class="stringliteral">"CpuRef"</span> };</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">const</span> std::string backendsMessage = <span class="stringliteral">"Which device to run layers on by default. Possible choices: "</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  + <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>().<a class="code" href="classarmnn_1_1_backend_registry.xhtml#ae1de2f7ca1db17f45f97155e239b8b45">GetBackendIdsAsString</a>();</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  options</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  .allow_unrecognised_options()</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  .add_options()</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  (<span class="stringliteral">"m,model-dir"</span>, <span class="stringliteral">"Path to directory containing model files (.prototxt/.tflite)"</span>,</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  cxxopts::value<std::string>(cLineOptions.<a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a2c0d69e50a4269073a6ce52c55a1a9bb">m_ModelDir</a>))</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  (<span class="stringliteral">"c,compute"</span>, backendsMessage.c_str(),</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  cxxopts::value<std::vector<std::string>>(cLineOptions.<a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a2b6e92b247e830ff78d04266ff130a92">m_ComputeDevices</a>)->default_value(<span class="stringliteral">"CpuRef"</span>))</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  (<span class="stringliteral">"b,dynamic-backends-path"</span>,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="stringliteral">"Path where to load any available dynamic backend from. "</span></div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="stringliteral">"If left empty (the default), dynamic backends will not be used."</span>,</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  cxxopts::value(cLineOptions.<a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>))</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  (<span class="stringliteral">"l,labels"</span>,</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="stringliteral">"Text file containing one image filename - correct label pair per line, "</span></div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="stringliteral">"used to test the accuracy of the network."</span>, cxxopts::value<std::string>(cLineOptions.<a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a237e6ca9811ae2195fbe8f30aa696e5b">m_Labels</a>))</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  (<span class="stringliteral">"v,visualize-optimized-model"</span>,</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="stringliteral">"Produce a dot file useful for visualizing the graph post optimization."</span></div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="stringliteral">"The file will have the same name as the model with the .dot extention."</span>,</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  cxxopts::value<bool>(cLineOptions.<a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#aaae50a6c0f73e4c210c2e4331c439482">m_VisualizePostOptimizationModel</a>)->default_value(<span class="stringliteral">"false"</span>))</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  (<span class="stringliteral">"fp16-turbo-mode"</span>,</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="stringliteral">"If this option is enabled FP32 layers, weights and biases will be converted "</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="stringliteral">"to FP16 where the backend supports it."</span>,</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  cxxopts::value<bool>(cLineOptions.<a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a513151623e8d448951a0b94ad1946fbe">m_EnableFp16TurboMode</a>)->default_value(<span class="stringliteral">"false"</span>))</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  (<span class="stringliteral">"bf16-turbo-mode"</span>,</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="stringliteral">"If this option is enabled FP32 layers, weights and biases will be converted "</span></div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="stringliteral">"to BF16 where the backend supports it."</span>,</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  cxxopts::value<bool>(cLineOptions.<a class="code" href="struct_inference_model_1_1_command_line_options.xhtml#a0b99050baebe1d169392461b3a9be08d">m_EnableBf16TurboMode</a>)->default_value(<span class="stringliteral">"false"</span>));</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  required.emplace_back(<span class="stringliteral">"model-dir"</span>);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> </div><div class="line"><a name="l00436"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a5a211a676b879363f0c5001698a14c50"> 436</a></span>  <a class="code" href="class_inference_model.xhtml#a5a211a676b879363f0c5001698a14c50">InferenceModel</a>(<span class="keyword">const</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml">Params</a>& params,</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordtype">bool</span> enableProfiling,</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keyword">const</span> std::string& dynamicBackendsPath,</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keyword">const</span> std::shared_ptr<armnn::IRuntime>& runtime = <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  : m_EnableProfiling(enableProfiling),</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  m_ProfilingDetailsMethod(<a class="code" href="namespacearmnn.xhtml">armnn</a>::<a class="code" href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1f">ProfilingDetailsMethod</a>::Undefined)</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  , <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>(dynamicBackendsPath)</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  {</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">if</span> (runtime)</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  {</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  m_Runtime = runtime;</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  }</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  {</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a> options;</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  options.<a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#a2fe8c3eadf4f4f9c0c664a24a2a298f9">m_EnableGpuProfiling</a> = m_EnableProfiling;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  options.<a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a> = <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>;</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  m_Runtime = <a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options);</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  }</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> </div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="comment">// Configure the Profiler if the the profiling details are opted for</span></div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ab17deb382179697b4702cc4f909e71f8">m_OutputDetailsOnlyToStdOut</a>)</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  m_ProfilingDetailsMethod = <a class="code" href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1fa566666dfc3a9a82da0d7b0816b19f278">armnn::ProfilingDetailsMethod::DetailsOnly</a>;</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">m_OutputDetailsToStdOut</a>)</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  m_ProfilingDetailsMethod = <a class="code" href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1fa497ab261a562e316736c2cb59b839d32">armnn::ProfilingDetailsMethod::DetailsWithEvents</a>;</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  std::string invalidBackends;</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keywordflow">if</span> (!CheckRequestedBackendsAreValid(params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">m_ComputeDevices</a>, <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<std::string&></a>(invalidBackends)))</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  {</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">"Some backend IDs are invalid: "</span> + invalidBackends);</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  }</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> </div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optNet{<span class="keyword">nullptr</span>, [](<a class="code" href="classarmnn_1_1_i_optimized_network.xhtml">armnn::IOptimizedNetwork</a>*){}};</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  {</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keyword">const</span> <span class="keyword">auto</span> parsing_start_time = <a class="code" href="namespacearmnn.xhtml#ac895f6f6897ce335b7b433201bae0b48">armnn::GetTimeNow</a>();</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network = <a class="code" href="struct_create_network_impl.xhtml#a4cbece5e7793be85f9a1e8a0ab9e02f8">CreateNetworkImpl<IParser>::Create</a>(params, <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>, <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>);</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> </div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Network parsing time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  << std::fixed << <a class="code" href="namespacearmnn.xhtml#a441621f00fd5665898c81a5ae3473c6b">armnn::GetTimeDuration</a>(parsing_start_time).count() << <span class="stringliteral">" ms\n"</span>;</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span> </div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <a class="code" href="_heap_profiling_8hpp.xhtml#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"Optimizing"</span>);</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <a class="code" href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a> options;</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  options.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a6e1a42622ca43dafc7ba8e684c016eb4">m_ReduceFp32ToFp16</a> = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a513151623e8d448951a0b94ad1946fbe">m_EnableFp16TurboMode</a>;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  options.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a11f463726addcc1d2845266997d79e9c">m_ReduceFp32ToBf16</a> = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a0b99050baebe1d169392461b3a9be08d">m_EnableBf16TurboMode</a>;</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  options.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a69eb14082d40fa0a3cff50457344a5e0">m_Debug</a> = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#acde2af8cbbd224a9f94e509ca538a775">m_PrintIntermediateLayers</a>;</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  options.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a9416d94a8aad7cdfa47eb35e825cbda5">m_shapeInferenceMethod</a> = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">m_InferOutputShape</a> ?</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">armnn::ShapeInferenceMethod::InferAndValidate</a> : <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">armnn::ShapeInferenceMethod::ValidateOnly</a>;</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  options.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a1b1892da2aaf7eaedaa38671d56b7f19">m_ProfilingEnabled</a> = m_EnableProfiling;</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> </div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> gpuAcc(<span class="stringliteral">"GpuAcc"</span>,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  {</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  { <span class="stringliteral">"FastMathEnabled"</span>, params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a66f9597b152215daba3211379dad63d3">m_EnableFastMath</a> },</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  { <span class="stringliteral">"SaveCachedNetwork"</span>, params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">m_SaveCachedNetwork</a> },</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  { <span class="stringliteral">"CachedNetworkFilePath"</span>, params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a9f8881646a38f828f92d3354930c4165">m_CachedNetworkFilePath</a> },</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  { <span class="stringliteral">"MLGOTuningFilePath"</span>, params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">m_MLGOTuningFilePath</a> }</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  });</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a> cpuAcc(<span class="stringliteral">"CpuAcc"</span>,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  {</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  { <span class="stringliteral">"FastMathEnabled"</span>, params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a66f9597b152215daba3211379dad63d3">m_EnableFastMath</a> },</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  { <span class="stringliteral">"NumberOfThreads"</span>, params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">m_NumberOfThreads</a> }</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  });</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  options.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">m_ModelOptions</a>.push_back(gpuAcc);</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  options.<a class="code" href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">m_ModelOptions</a>.push_back(cpuAcc);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keyword">const</span> <span class="keyword">auto</span> optimization_start_time = <a class="code" href="namespacearmnn.xhtml#ac895f6f6897ce335b7b433201bae0b48">armnn::GetTimeNow</a>();</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  optNet = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(*network, params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">m_ComputeDevices</a>, m_Runtime->GetDeviceSpec(), options);</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Optimization time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  << std::fixed << <a class="code" href="namespacearmnn.xhtml#a441621f00fd5665898c81a5ae3473c6b">armnn::GetTimeDuration</a>(optimization_start_time).count() << <span class="stringliteral">" ms\n"</span>;</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">if</span> (!optNet)</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  {</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">"Optimize returned nullptr"</span>);</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  }</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> </div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  }</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span> </div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aaae50a6c0f73e4c210c2e4331c439482">m_VisualizePostOptimizationModel</a>)</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  {</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  fs::path filename = params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">m_ModelPath</a>;</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  filename.replace_extension(<span class="stringliteral">"dot"</span>);</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  std::fstream file(filename.c_str(), std::ios_base::out);</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  optNet->SerializeToDot(file);</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  }</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span> </div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a> ret;</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  {</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="_heap_profiling_8hpp.xhtml#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a>(<span class="stringliteral">"LoadNetwork"</span>);</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span> </div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keyword">const</span> <span class="keyword">auto</span> loading_start_time = <a class="code" href="namespacearmnn.xhtml#ac895f6f6897ce335b7b433201bae0b48">armnn::GetTimeNow</a>();</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <a class="code" href="structarmnn_1_1_i_network_properties.xhtml">armnn::INetworkProperties</a> networkProperties(params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#af5e88d9bb91dff85ad5a6f7e190aff4e">m_AsyncEnabled</a>,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::MemorySource::Undefined</a>,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::MemorySource::Undefined</a>,</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  enableProfiling,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  m_ProfilingDetailsMethod);</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  std::string errorMessage;</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  ret = m_Runtime->LoadNetwork(m_NetworkIdentifier, std::move(optNet), errorMessage, networkProperties);</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> </div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Network loading time: "</span> << std::setprecision(2)</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  << std::fixed << <a class="code" href="namespacearmnn.xhtml#a441621f00fd5665898c81a5ae3473c6b">armnn::GetTimeDuration</a>(loading_start_time).count() << <span class="stringliteral">" ms\n"</span>;</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> </div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keywordflow">if</span> (params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#af5e88d9bb91dff85ad5a6f7e190aff4e">m_AsyncEnabled</a> && params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">m_ThreadPoolSize</a> > 0)</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  {</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  std::vector<std::shared_ptr<armnn::IWorkingMemHandle>> memHandles;</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">m_ThreadPoolSize</a>; ++i)</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  {</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  memHandles.emplace_back(m_Runtime->CreateWorkingMemHandle(m_NetworkIdentifier));</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  }</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  m_Threadpool = std::make_unique<armnn::Threadpool>(params.<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">m_ThreadPoolSize</a>,</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  m_Runtime.get(),</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  memHandles);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  }</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  }</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> </div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keywordflow">if</span> (ret == <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Status::Failure</a>)</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  {</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">"IRuntime::LoadNetwork failed"</span>);</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  }</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  }</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> </div><div class="line"><a name="l00560"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a262185c43532d5728c4bd7890f3b2235"> 560</a></span>  <span class="keywordtype">void</span> <a class="code" href="class_inference_model.xhtml#a262185c43532d5728c4bd7890f3b2235">CheckInputIndexIsValid</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIndex)<span class="keyword"> const</span></div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">if</span> (<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>.size() < inputIndex + 1)</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  {</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(fmt::format(<span class="stringliteral">"Input index out of range: {}"</span>, inputIndex));</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  }</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  }</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span> </div><div class="line"><a name="l00568"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a72a6db08ffca660ece7c2d86e2a14daa"> 568</a></span>  <span class="keywordtype">void</span> <a class="code" href="class_inference_model.xhtml#a72a6db08ffca660ece7c2d86e2a14daa">CheckOutputIndexIsValid</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex)<span class="keyword"> const</span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">if</span> (<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>.size() < outputIndex + 1)</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  {</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(fmt::format(<span class="stringliteral">"Output index out of range: {}"</span>, outputIndex));</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  }</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  }</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> </div><div class="line"><a name="l00576"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a679e4b22a845c8d7f58f6ca6a5df625f"> 576</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="class_inference_model.xhtml#a679e4b22a845c8d7f58f6ca6a5df625f">GetInputSize</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIndex = 0u)<span class="keyword"> const</span></div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  CheckInputIndexIsValid(inputIndex);</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keywordflow">return</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>[inputIndex].second.GetNumElements();</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  }</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span> </div><div class="line"><a name="l00582"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a8282dddf88e0deb3c414235e20a6cb2c"> 582</a></span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="class_inference_model.xhtml#a8282dddf88e0deb3c414235e20a6cb2c">GetOutputSize</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = 0u)<span class="keyword"> const</span></div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  CheckOutputIndexIsValid(outputIndex);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordflow">return</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[outputIndex].second.GetNumElements();</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> </div><div class="line"><a name="l00588"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a25651303cbe4a971cdada990eb71bf21"> 588</a></span>  std::chrono::duration<double, std::milli> <a class="code" href="class_inference_model.xhtml#a25651303cbe4a971cdada990eb71bf21">Run</a>(</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keyword">const</span> std::vector<armnnUtils::TContainer>& inputContainers,</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  std::vector<armnnUtils::TContainer>& outputContainers)</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  {</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputContainers.size(); ++i)</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  {</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expectedOutputDataSize = GetOutputSize(i);</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span> </div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  mapbox::util::apply_visitor([expectedOutputDataSize, i](<span class="keyword">auto</span>&& value)</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  {</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> actualOutputDataSize = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(value.size());</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">if</span> (actualOutputDataSize < expectedOutputDataSize)</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  {</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = i;</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  fmt::format(<span class="stringliteral">"Not enough data for output #{0}: expected "</span></div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="stringliteral">"{1} elements, got {2}"</span>, outputIndex, expectedOutputDataSize, actualOutputDataSize));</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  }</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  },</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  outputContainers[i]);</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  }</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span> </div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  std::shared_ptr<armnn::IProfiler> profiler = m_Runtime->GetProfiler(m_NetworkIdentifier);</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span> </div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="comment">// Start timer to record inference time in EnqueueWorkload (in milliseconds)</span></div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keyword">const</span> <span class="keyword">auto</span> start_time = <a class="code" href="namespacearmnn.xhtml#ac895f6f6897ce335b7b433201bae0b48">armnn::GetTimeNow</a>();</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span> </div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a> ret = m_Runtime->EnqueueWorkload(m_NetworkIdentifier,</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#aa5b4bf99dead35f1ed10ec2da962b5f8">MakeInputTensors</a>(inputContainers),</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a47e2cf3b998bc6a55711799ac97d6eee">MakeOutputTensors</a>(outputContainers));</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keyword">const</span> <span class="keyword">auto</span> duration = <a class="code" href="namespacearmnn.xhtml#a441621f00fd5665898c81a5ae3473c6b">armnn::GetTimeDuration</a>(start_time);</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span> </div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="comment">// if profiling is enabled print out the results</span></div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keywordflow">if</span> (profiler && profiler->IsProfilingEnabled())</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  {</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  profiler->Print(std::cout);</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  }</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span> </div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keywordflow">if</span> (ret == <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Status::Failure</a>)</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  {</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">"IRuntime::EnqueueWorkload failed"</span>);</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  }</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  {</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <span class="keywordflow">return</span> duration;</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  }</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  }</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span> </div><div class="line"><a name="l00636"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#ab510347c552e6ff7fd6b702b688525b1"> 636</a></span>  std::tuple<unsigned int, std::chrono::duration<double, std::milli>> <a class="code" href="class_inference_model.xhtml#ab510347c552e6ff7fd6b702b688525b1">RunAsync</a>(</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <a class="code" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.xhtml">armnn::experimental::IWorkingMemHandle</a>& workingMemHandleRef,</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keyword">const</span> std::vector<armnnUtils::TContainer>& inputContainers,</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  std::vector<armnnUtils::TContainer>& outputContainers,</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inferenceID)</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  {</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputContainers.size(); ++i)</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  {</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expectedOutputDataSize = GetOutputSize(i);</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> </div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  mapbox::util::apply_visitor([expectedOutputDataSize, i](<span class="keyword">auto</span>&& value)</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  {</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> actualOutputDataSize = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(value.size());</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="keywordflow">if</span> (actualOutputDataSize < expectedOutputDataSize)</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  {</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = i;</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  fmt::format(<span class="stringliteral">"Not enough data for output #{0}: expected "</span></div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="stringliteral">"{1} elements, got {2}"</span>, outputIndex, expectedOutputDataSize, actualOutputDataSize));</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  }</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  },</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  outputContainers[i]);</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  }</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span> </div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  std::shared_ptr<armnn::IProfiler> profiler = m_Runtime->GetProfiler(m_NetworkIdentifier);</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="comment">// Start timer to record inference time in EnqueueWorkload (in milliseconds)</span></div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keyword">const</span> <span class="keyword">auto</span> start_time = <a class="code" href="namespacearmnn.xhtml#ac895f6f6897ce335b7b433201bae0b48">armnn::GetTimeNow</a>();</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a> ret = m_Runtime->Execute(workingMemHandleRef,</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#aa5b4bf99dead35f1ed10ec2da962b5f8">MakeInputTensors</a>(inputContainers),</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a47e2cf3b998bc6a55711799ac97d6eee">MakeOutputTensors</a>(outputContainers));</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span> </div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keyword">const</span> <span class="keyword">auto</span> duration = <a class="code" href="namespacearmnn.xhtml#a441621f00fd5665898c81a5ae3473c6b">armnn::GetTimeDuration</a>(start_time);</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> </div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="comment">// if profiling is enabled print out the results</span></div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keywordflow">if</span> (profiler && profiler->IsProfilingEnabled())</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  {</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  profiler->Print(std::cout);</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  }</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> </div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="keywordflow">if</span> (ret == <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Status::Failure</a>)</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  {</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  fmt::format(<span class="stringliteral">"IRuntime::Execute asynchronously failed for network #{0} on inference #{1}"</span>,</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  m_NetworkIdentifier, inferenceID));</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  }</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  {</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keywordflow">return</span> std::make_tuple(inferenceID, duration);</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  }</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  }</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span> </div><div class="line"><a name="l00689"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a43b9b072a5aad953e50500b71bcbbef7"> 689</a></span>  <span class="keywordtype">void</span> <a class="code" href="class_inference_model.xhtml#a43b9b072a5aad953e50500b71bcbbef7">RunAsync</a>(<span class="keyword">const</span> std::vector<armnnUtils::TContainer>& inputContainers,</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  std::vector<armnnUtils::TContainer>& outputContainers,</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  std::shared_ptr<armnn::IAsyncExecutionCallback> cb)</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  {</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputContainers.size(); ++i)</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  {</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expectedOutputDataSize = GetOutputSize(i);</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span> </div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  mapbox::util::apply_visitor([expectedOutputDataSize, i](<span class="keyword">auto</span>&& value)</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  {</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> actualOutputDataSize = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(value.size());</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keywordflow">if</span> (actualOutputDataSize < expectedOutputDataSize)</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  {</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = i;</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  fmt::format(<span class="stringliteral">"Not enough data for output #{0}: expected "</span></div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="stringliteral">"{1} elements, got {2}"</span>, outputIndex, expectedOutputDataSize, actualOutputDataSize));</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  }</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  },</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  outputContainers[i]);</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  }</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> </div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  std::shared_ptr<armnn::IProfiler> profiler = m_Runtime->GetProfiler(m_NetworkIdentifier);</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span> </div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  m_Threadpool->Schedule(m_NetworkIdentifier,</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#aa5b4bf99dead35f1ed10ec2da962b5f8">MakeInputTensors</a>(inputContainers),</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a47e2cf3b998bc6a55711799ac97d6eee">MakeOutputTensors</a>(outputContainers),</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <a class="code" href="namespacearmnn.xhtml#a8e72227ebe5ac505cf44790f2e6eb488a87f8a6ab85c9ced3702b4ea641ad4bb5">armnn::QosExecPriority::Medium</a>,</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  cb);</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> </div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="comment">// if profiling is enabled print out the results</span></div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <span class="keywordflow">if</span> (profiler && profiler->IsProfilingEnabled())</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  {</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  profiler->Print(std::cout);</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  }</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  }</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span> </div><div class="line"><a name="l00726"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a9a28e0c17604e5a945409f994c020212"> 726</a></span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a>& <a class="code" href="class_inference_model.xhtml#a9a28e0c17604e5a945409f994c020212">GetInputBindingInfo</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIndex = 0u)<span class="keyword"> const</span></div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  CheckInputIndexIsValid(inputIndex);</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  <span class="keywordflow">return</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>[inputIndex];</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  }</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> </div><div class="line"><a name="l00732"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a0e0f3330fc1e6c1fa1d99d731490c483"> 732</a></span>  <span class="keyword">const</span> std::vector<armnn::BindingPointInfo>& <a class="code" href="class_inference_model.xhtml#a0e0f3330fc1e6c1fa1d99d731490c483">GetInputBindingInfos</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keywordflow">return</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>;</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  }</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> </div><div class="line"><a name="l00737"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a325f1c17b5ff2153cae944e3c62820a2"> 737</a></span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a>& <a class="code" href="class_inference_model.xhtml#a325f1c17b5ff2153cae944e3c62820a2">GetOutputBindingInfo</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = 0u)<span class="keyword"> const</span></div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  CheckOutputIndexIsValid(outputIndex);</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keywordflow">return</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[outputIndex];</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  }</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span> </div><div class="line"><a name="l00743"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#ac0b73049e00e7013f5cc6ae7fcaedcd4"> 743</a></span>  <span class="keyword">const</span> std::vector<armnn::BindingPointInfo>& <a class="code" href="class_inference_model.xhtml#ac0b73049e00e7013f5cc6ae7fcaedcd4">GetOutputBindingInfos</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <span class="keywordflow">return</span> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>;</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  }</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span> </div><div class="line"><a name="l00748"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a1a09727b3f781272e702516fffb7d97f"> 748</a></span>  <a class="code" href="class_inference_model.xhtml#ae3ca0528045df8958ce5dcdf9d1af041">QuantizationParams</a> <a class="code" href="class_inference_model.xhtml#a1a09727b3f781272e702516fffb7d97f">GetQuantizationParams</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIndex = 0u)<span class="keyword"> const</span></div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  CheckOutputIndexIsValid(outputIndex);</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="keywordflow">return</span> std::make_pair(<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[outputIndex].second.GetQuantizationScale(),</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>[outputIndex].second.GetQuantizationOffset());</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  }</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span> </div><div class="line"><a name="l00755"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a066580d185559e2efdcb6cedd1709b9c"> 755</a></span>  <a class="code" href="class_inference_model.xhtml#ae3ca0528045df8958ce5dcdf9d1af041">QuantizationParams</a> <a class="code" href="class_inference_model.xhtml#a066580d185559e2efdcb6cedd1709b9c">GetInputQuantizationParams</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputIndex = 0u)<span class="keyword"> const</span></div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  CheckInputIndexIsValid(inputIndex);</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keywordflow">return</span> std::make_pair(<a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>[inputIndex].second.GetQuantizationScale(),</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>[inputIndex].second.GetQuantizationOffset());</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  }</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span> </div><div class="line"><a name="l00762"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#ade1a8545be49b1c10e724ea8536907c7"> 762</a></span>  std::vector<QuantizationParams> <a class="code" href="class_inference_model.xhtml#ade1a8545be49b1c10e724ea8536907c7">GetAllQuantizationParams</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  std::vector<QuantizationParams> quantizationParams;</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>.size(); i++)</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  {</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  quantizationParams.push_back(GetQuantizationParams(i));</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  }</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <span class="keywordflow">return</span> quantizationParams;</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  }</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span> </div><div class="line"><a name="l00772"></a><span class="lineno"><a class="line" href="class_inference_model.xhtml#a6d789a57513b4b26e31eaed316e45b7f"> 772</a></span>  std::unique_ptr<armnn::experimental::IWorkingMemHandle> <a class="code" href="class_inference_model.xhtml#a6d789a57513b4b26e31eaed316e45b7f">CreateWorkingMemHandle</a>()</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  {</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <span class="keywordflow">return</span> m_Runtime->CreateWorkingMemHandle(m_NetworkIdentifier);</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  }</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> </div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  <a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> m_NetworkIdentifier;</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  std::shared_ptr<armnn::IRuntime> m_Runtime;</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  std::unique_ptr<armnn::Threadpool> m_Threadpool;</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> </div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  std::vector<armnn::BindingPointInfo> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">m_InputBindings</a>;</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  std::vector<armnn::BindingPointInfo> <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">m_OutputBindings</a>;</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="keywordtype">bool</span> m_EnableProfiling;</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  <a class="code" href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1f">armnn::ProfilingDetailsMethod</a> m_ProfilingDetailsMethod;</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  std::string <a class="code" href="struct_inference_model_internal_1_1_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a>;</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span> </div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keyword">template</span><<span class="keyword">typename</span> TContainer></div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#aa5b4bf99dead35f1ed10ec2da962b5f8">MakeInputTensors</a>(<span class="keyword">const</span> std::vector<TContainer>& inputDataContainers)</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  {</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn_utils.xhtml#ad5310a199d4969927169ed084b1f6c28">armnnUtils::MakeInputTensors</a>(m_InputBindings, inputDataContainers);</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  }</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span> </div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keyword">template</span><<span class="keyword">typename</span> TContainer></div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> <a class="code" href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a47e2cf3b998bc6a55711799ac97d6eee">MakeOutputTensors</a>(std::vector<TContainer>& outputDataContainers)</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  {</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn_utils.xhtml#ad4efd5a7fa660df5246466d83517220d">armnnUtils::MakeOutputTensors</a>(m_OutputBindings, outputDataContainers);</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  }</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> };</div><div class="ttc" id="class_inference_model_xhtml_a25651303cbe4a971cdada990eb71bf21"><div class="ttname"><a href="class_inference_model.xhtml#a25651303cbe4a971cdada990eb71bf21">InferenceModel::Run</a></div><div class="ttdeci">std::chrono::duration< double, std::milli > Run(const std::vector< armnnUtils::TContainer > &inputContainers, std::vector< armnnUtils::TContainer > &outputContainers)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00588">InferenceModel.hpp:588</a></div></div> +<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a71194277c60153a5f86539f5d39f01db"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a71194277c60153a5f86539f5d39f01db">armnn::OptimizerOptions::m_ModelOptions</a></div><div class="ttdeci">ModelOptions m_ModelOptions</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00189">INetwork.hpp:189</a></div></div> +<div class="ttc" id="_tensor_i_o_utils_8hpp_xhtml"><div class="ttname"><a href="_tensor_i_o_utils_8hpp.xhtml">TensorIOUtils.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00040">Runtime.cpp:40</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_registry_xhtml_a570cb1835ec73000a7954ba75257904f"><div class="ttname"><a href="classarmnn_1_1_backend_registry.xhtml#a570cb1835ec73000a7954ba75257904f">armnn::BackendRegistry::GetBackendIds</a></div><div class="ttdeci">BackendIdSet GetBackendIds() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00073">BackendRegistry.cpp:73</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a441621f00fd5665898c81a5ae3473c6b"><div class="ttname"><a href="namespacearmnn.xhtml#a441621f00fd5665898c81a5ae3473c6b">armnn::GetTimeDuration</a></div><div class="ttdeci">std::chrono::duration< double, std::milli > GetTimeDuration(std::chrono::high_resolution_clock::time_point start_time)</div><div class="ttdef"><b>Definition:</b> <a href="_timer_8hpp_source.xhtml#l00019">Timer.hpp:19</a></div></div> +<div class="ttc" id="_threadpool_8hpp_xhtml"><div class="ttname"><a href="_threadpool_8hpp.xhtml">Threadpool.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a9416d94a8aad7cdfa47eb35e825cbda5"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a9416d94a8aad7cdfa47eb35e825cbda5">armnn::OptimizerOptions::m_shapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_shapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00183">INetwork.hpp:183</a></div></div> +<div class="ttc" id="namespace_inference_model_internal_xhtml"><div class="ttname"><a href="namespace_inference_model_internal.xhtml">InferenceModelInternal</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00083">InferenceModel.hpp:83</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="class_inference_model_xhtml_af6964b8f91085191c5228d1a67db4523"><div class="ttname"><a href="class_inference_model.xhtml#af6964b8f91085191c5228d1a67db4523">InferenceModel::DataType</a></div><div class="ttdeci">TDataType DataType</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00375">InferenceModel.hpp:375</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a1854d9cda81304325664363c1fd0fb27"><div class="ttname"><a href="namespacearmnn.xhtml#a1854d9cda81304325664363c1fd0fb27">armnn::BackendIdSet</a></div><div class="ttdeci">std::unordered_set< BackendId > BackendIdSet</div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00193">BackendId.hpp:193</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a066580d185559e2efdcb6cedd1709b9c"><div class="ttname"><a href="class_inference_model.xhtml#a066580d185559e2efdcb6cedd1709b9c">InferenceModel::GetInputQuantizationParams</a></div><div class="ttdeci">QuantizationParams GetInputQuantizationParams(unsigned int inputIndex=0u) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00755">InferenceModel.hpp:755</a></div></div> +<div class="ttc" id="struct_inference_model_1_1_command_line_options_xhtml_a513151623e8d448951a0b94ad1946fbe"><div class="ttname"><a href="struct_inference_model_1_1_command_line_options.xhtml#a513151623e8d448951a0b94ad1946fbe">InferenceModel::CommandLineOptions::m_EnableFp16TurboMode</a></div><div class="ttdeci">bool m_EnableFp16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00386">InferenceModel.hpp:386</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_ac0b73049e00e7013f5cc6ae7fcaedcd4"><div class="ttname"><a href="class_inference_model.xhtml#ac0b73049e00e7013f5cc6ae7fcaedcd4">InferenceModel::GetOutputBindingInfos</a></div><div class="ttdeci">const std::vector< armnn::BindingPointInfo > & GetOutputBindingInfos() const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00743">InferenceModel.hpp:743</a></div></div> +<div class="ttc" id="_tf_lite_yolo_v3_big-_armnn_8cpp_xhtml_aa5b4bf99dead35f1ed10ec2da962b5f8"><div class="ttname"><a href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#aa5b4bf99dead35f1ed10ec2da962b5f8">MakeInputTensors</a></div><div class="ttdeci">armnn::InputTensors MakeInputTensors(const std::vector< armnn::BindingPointInfo > &inputBindings, const std::vector< std::reference_wrapper< TContainer >> &inputDataContainers)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00050">TfLiteYoloV3Big-Armnn.cpp:50</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae060224135f57f926cbda9d2732a2b1fa566666dfc3a9a82da0d7b0816b19f278"><div class="ttname"><a href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1fa566666dfc3a9a82da0d7b0816b19f278">armnn::ProfilingDetailsMethod::DetailsOnly</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a22794efa5d496a49a33739dd99087841"><div class="ttname"><a href="class_inference_model.xhtml#a22794efa5d496a49a33739dd99087841">InferenceModel::AddCommandLineOptions</a></div><div class="ttdeci">static void AddCommandLineOptions(cxxopts::Options &options, CommandLineOptions &cLineOptions, std::vector< std::string > &required)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00398">InferenceModel.hpp:398</a></div></div> +<div class="ttc" id="struct_inference_model_1_1_command_line_options_xhtml"><div class="ttname"><a href="struct_inference_model_1_1_command_line_options.xhtml">InferenceModel::CommandLineOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00380">InferenceModel.hpp:380</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ae43cf4b5df0068ee6a9151c98947248b"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">InferenceModelInternal::Params::m_DynamicBackendsPath</a></div><div class="ttdeci">std::string m_DynamicBackendsPath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00096">InferenceModel.hpp:96</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a325f1c17b5ff2153cae944e3c62820a2"><div class="ttname"><a href="class_inference_model.xhtml#a325f1c17b5ff2153cae944e3c62820a2">InferenceModel::GetOutputBindingInfo</a></div><div class="ttdeci">const armnn::BindingPointInfo & GetOutputBindingInfo(unsigned int outputIndex=0u) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00737">InferenceModel.hpp:737</a></div></div> +<div class="ttc" id="class_inference_model_xhtml"><div class="ttname"><a href="class_inference_model.xhtml">InferenceModel</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00372">InferenceModel.hpp:372</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#l00026">ITfLiteParser.hpp:26</a></div></div> +<div class="ttc" id="_logging_8hpp_xhtml_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.xhtml#l00202">Logging.hpp:202</a></div></div> +<div class="ttc" id="classarmnn_1_1_file_not_found_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_file_not_found_exception.xhtml">armnn::FileNotFoundException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00086">Exceptions.hpp:86</a></div></div> +<div class="ttc" id="_arm_n_n_8hpp_xhtml"><div class="ttname"><a href="_arm_n_n_8hpp.xhtml">ArmNN.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a></div><div class="ttdoc">Main network class which provides the interface for building up a neural network. ...</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00202">INetwork.hpp:202</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_ab510347c552e6ff7fd6b702b688525b1"><div class="ttname"><a href="class_inference_model.xhtml#ab510347c552e6ff7fd6b702b688525b1">InferenceModel::RunAsync</a></div><div class="ttdeci">std::tuple< unsigned int, std::chrono::duration< double, std::milli > > RunAsync(armnn::experimental::IWorkingMemHandle &workingMemHandleRef, const std::vector< armnnUtils::TContainer > &inputContainers, std::vector< armnnUtils::TContainer > &outputContainers, unsigned int inferenceID)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00636">InferenceModel.hpp:636</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ac2807505b850738bc8a1991ce669dd47"><div class="ttname"><a href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a></div><div class="ttdeci">BackendRegistry & BackendRegistryInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00013">BackendRegistry.cpp:13</a></div></div> +<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a11f463726addcc1d2845266997d79e9c"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a11f463726addcc1d2845266997d79e9c">armnn::OptimizerOptions::m_ReduceFp32ToBf16</a></div><div class="ttdeci">bool m_ReduceFp32ToBf16</div><div class="ttdoc">Reduces all Fp32 operators in the model to Bf16 for faster processing. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00180">INetwork.hpp:180</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00392">Tensor.hpp:392</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a9a28e0c17604e5a945409f994c020212"><div class="ttname"><a href="class_inference_model.xhtml#a9a28e0c17604e5a945409f994c020212">InferenceModel::GetInputBindingInfo</a></div><div class="ttdeci">const armnn::BindingPointInfo & GetInputBindingInfo(unsigned int inputIndex=0u) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00726">InferenceModel.hpp:726</a></div></div> +<div class="ttc" id="namespace_inference_model_internal_xhtml_a9084adbf804022c874039ad40d1939e9"><div class="ttname"><a href="namespace_inference_model_internal.xhtml#a9084adbf804022c874039ad40d1939e9">InferenceModelInternal::BindingPointInfo</a></div><div class="ttdeci">armnn::BindingPointInfo BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00085">InferenceModel.hpp:85</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a513151623e8d448951a0b94ad1946fbe"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a513151623e8d448951a0b94ad1946fbe">InferenceModelInternal::Params::m_EnableFp16TurboMode</a></div><div class="ttdeci">bool m_EnableFp16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00100">InferenceModel.hpp:100</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ac895f6f6897ce335b7b433201bae0b48"><div class="ttname"><a href="namespacearmnn.xhtml#ac895f6f6897ce335b7b433201bae0b48">armnn::GetTimeNow</a></div><div class="ttdeci">std::chrono::high_resolution_clock::time_point GetTimeNow()</div><div class="ttdef"><b>Definition:</b> <a href="_timer_8hpp_source.xhtml#l00014">Timer.hpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_ae3ca0528045df8958ce5dcdf9d1af041"><div class="ttname"><a href="class_inference_model.xhtml#ae3ca0528045df8958ce5dcdf9d1af041">InferenceModel::QuantizationParams</a></div><div class="ttdeci">InferenceModelInternal::QuantizationParams QuantizationParams</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00377">InferenceModel.hpp:377</a></div></div> +<div class="ttc" id="struct_inference_model_1_1_command_line_options_xhtml_ae43cf4b5df0068ee6a9151c98947248b"><div class="ttname"><a href="struct_inference_model_1_1_command_line_options.xhtml#ae43cf4b5df0068ee6a9151c98947248b">InferenceModel::CommandLineOptions::m_DynamicBackendsPath</a></div><div class="ttdeci">std::string m_DynamicBackendsPath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00384">InferenceModel.hpp:384</a></div></div> +<div class="ttc" id="classarmnn_1_1_backend_registry_xhtml_ae1de2f7ca1db17f45f97155e239b8b45"><div class="ttname"><a href="classarmnn_1_1_backend_registry.xhtml#ae1de2f7ca1db17f45f97155e239b8b45">armnn::BackendRegistry::GetBackendIdsAsString</a></div><div class="ttdeci">std::string GetBackendIdsAsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00083">BackendRegistry.cpp:83</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_aaae50a6c0f73e4c210c2e4331c439482"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#aaae50a6c0f73e4c210c2e4331c439482">InferenceModelInternal::Params::m_VisualizePostOptimizationModel</a></div><div class="ttdeci">bool m_VisualizePostOptimizationModel</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00099">InferenceModel.hpp:99</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a66f9597b152215daba3211379dad63d3"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a66f9597b152215daba3211379dad63d3">InferenceModelInternal::Params::m_EnableFastMath</a></div><div class="ttdeci">bool m_EnableFastMath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00105">InferenceModel.hpp:105</a></div></div> +<div class="ttc" id="struct_create_network_impl_xhtml"><div class="ttname"><a href="struct_create_network_impl.xhtml">CreateNetworkImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00141">InferenceModel.hpp:141</a></div></div> +<div class="ttc" id="_filesystem_8hpp_xhtml"><div class="ttname"><a href="_filesystem_8hpp.xhtml">Filesystem.hpp</a></div></div> +<div class="ttc" id="_backend_registry_8hpp_xhtml"><div class="ttname"><a href="_backend_registry_8hpp.xhtml">BackendRegistry.hpp</a></div></div> +<div class="ttc" id="structarmnn_deserializer_1_1_binding_point_info_xhtml"><div class="ttname"><a href="structarmnn_deserializer_1_1_binding_point_info.xhtml">armnnDeserializer::BindingPointInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_deserializer_8hpp_source.xhtml#l00018">IDeserializer.hpp:18</a></div></div> +<div class="ttc" id="_timer_8hpp_xhtml"><div class="ttname"><a href="_timer_8hpp.xhtml">Timer.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae060224135f57f926cbda9d2732a2b1f"><div class="ttname"><a href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1f">armnn::ProfilingDetailsMethod</a></div><div class="ttdeci">ProfilingDetailsMethod</div><div class="ttdoc">Define the behaviour of the internal profiler when outputting network details. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00058">Types.hpp:58</a></div></div> +<div class="ttc" id="_numeric_cast_8hpp_xhtml"><div class="ttname"><a href="_numeric_cast_8hpp.xhtml">NumericCast.hpp</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a262185c43532d5728c4bd7890f3b2235"><div class="ttname"><a href="class_inference_model.xhtml#a262185c43532d5728c4bd7890f3b2235">InferenceModel::CheckInputIndexIsValid</a></div><div class="ttdeci">void CheckInputIndexIsValid(unsigned int inputIndex) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00560">InferenceModel.hpp:560</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a0b99050baebe1d169392461b3a9be08d"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a0b99050baebe1d169392461b3a9be08d">InferenceModelInternal::Params::m_EnableBf16TurboMode</a></div><div class="ttdeci">bool m_EnableBf16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00101">InferenceModel.hpp:101</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a8282dddf88e0deb3c414235e20a6cb2c"><div class="ttname"><a href="class_inference_model.xhtml#a8282dddf88e0deb3c414235e20a6cb2c">InferenceModel::GetOutputSize</a></div><div class="ttdeci">unsigned int GetOutputSize(unsigned int outputIndex=0u) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00582">InferenceModel.hpp:582</a></div></div> +<div class="ttc" id="structarmnn_1_1_i_network_properties_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_network_properties.xhtml">armnn::INetworkProperties</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00033">IRuntime.hpp:33</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a7974597e9d3c848fd265d9445f7cf8cb"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a7974597e9d3c848fd265d9445f7cf8cb">InferenceModelInternal::Params::Params</a></div><div class="ttdeci">Params()</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00116">InferenceModel.hpp:116</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_aad2ac35d4cb83ee4da9fad5fbcb907e0"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#aad2ac35d4cb83ee4da9fad5fbcb907e0">InferenceModelInternal::Params::m_InputBindings</a></div><div class="ttdeci">std::vector< std::string > m_InputBindings</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00092">InferenceModel.hpp:92</a></div></div> +<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a6e1a42622ca43dafc7ba8e684c016eb4"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a6e1a42622ca43dafc7ba8e684c016eb4">armnn::OptimizerOptions::m_ReduceFp32ToFp16</a></div><div class="ttdeci">bool m_ReduceFp32ToFp16</div><div class="ttdoc">Reduces all Fp32 operators in the model to Fp16 for faster processing. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00170">INetwork.hpp:170</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="class_inference_model_xhtml_a5a211a676b879363f0c5001698a14c50"><div class="ttname"><a href="class_inference_model.xhtml#a5a211a676b879363f0c5001698a14c50">InferenceModel::InferenceModel</a></div><div class="ttdeci">InferenceModel(const Params &params, bool enableProfiling, const std::string &dynamicBackendsPath, const std::shared_ptr< armnn::IRuntime > &runtime=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00436">InferenceModel.hpp:436</a></div></div> +<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a69eb14082d40fa0a3cff50457344a5e0"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a69eb14082d40fa0a3cff50457344a5e0">armnn::OptimizerOptions::m_Debug</a></div><div class="ttdeci">bool m_Debug</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00173">INetwork.hpp:173</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ad69aa6b4967ce55ee4a915c52c71bf2e"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ad69aa6b4967ce55ee4a915c52c71bf2e">InferenceModelInternal::Params::m_InputShapes</a></div><div class="ttdeci">std::vector< armnn::TensorShape > m_InputShapes</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00093">InferenceModel.hpp:93</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae060224135f57f926cbda9d2732a2b1fa497ab261a562e316736c2cb59b839d32"><div class="ttname"><a href="namespacearmnn.xhtml#ae060224135f57f926cbda9d2732a2b1fa497ab261a562e316736c2cb59b839d32">armnn::ProfilingDetailsMethod::DetailsWithEvents</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a9a04b8c7f19a84f63125edec509b6d53"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a9a04b8c7f19a84f63125edec509b6d53">InferenceModelInternal::Params::m_SaveCachedNetwork</a></div><div class="ttdeci">bool m_SaveCachedNetwork</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00106">InferenceModel.hpp:106</a></div></div> +<div class="ttc" id="struct_inference_model_1_1_command_line_options_xhtml_a2c0d69e50a4269073a6ce52c55a1a9bb"><div class="ttname"><a href="struct_inference_model_1_1_command_line_options.xhtml#a2c0d69e50a4269073a6ce52c55a1a9bb">InferenceModel::CommandLineOptions::m_ModelDir</a></div><div class="ttdeci">std::string m_ModelDir</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00382">InferenceModel.hpp:382</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a7adc5dcfe3d76ac489f253c4d5f439c8"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a7adc5dcfe3d76ac489f253c4d5f439c8">InferenceModelInternal::Params::m_ThreadPoolSize</a></div><div class="ttdeci">size_t m_ThreadPoolSize</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00113">InferenceModel.hpp:113</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_af5e88d9bb91dff85ad5a6f7e190aff4e"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#af5e88d9bb91dff85ad5a6f7e190aff4e">InferenceModelInternal::Params::m_AsyncEnabled</a></div><div class="ttdeci">bool m_AsyncEnabled</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00112">InferenceModel.hpp:112</a></div></div> +<div class="ttc" id="namespacearmnn_utils_xhtml_ad5310a199d4969927169ed084b1f6c28"><div class="ttname"><a href="namespacearmnn_utils.xhtml#ad5310a199d4969927169ed084b1f6c28">armnnUtils::MakeInputTensors</a></div><div class="ttdeci">armnn::InputTensors MakeInputTensors(const std::vector< armnn::BindingPointInfo > &inputBindings, const std::vector< TContainer > &inputDataContainers)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_i_o_utils_8hpp_source.xhtml#l00017">TensorIOUtils.hpp:17</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01605">Network.cpp:1605</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_abeacb4ed1ca9256ee0e8aea73185a0cc"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#abeacb4ed1ca9256ee0e8aea73185a0cc">InferenceModelInternal::Params::m_OutputBindings</a></div><div class="ttdeci">std::vector< std::string > m_OutputBindings</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00094">InferenceModel.hpp:94</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a2d54e6252c1c9a0e29f7706ba03b2b74"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">InferenceModelInternal::Params::m_ComputeDevices</a></div><div class="ttdeci">std::vector< armnn::BackendId > m_ComputeDevices</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00095">InferenceModel.hpp:95</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_optimized_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml">armnn::IOptimizedNetwork</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00725">INetwork.hpp:725</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a43b9b072a5aad953e50500b71bcbbef7"><div class="ttname"><a href="class_inference_model.xhtml#a43b9b072a5aad953e50500b71bcbbef7">InferenceModel::RunAsync</a></div><div class="ttdeci">void RunAsync(const std::vector< armnnUtils::TContainer > &inputContainers, std::vector< armnnUtils::TContainer > &outputContainers, std::shared_ptr< armnn::IAsyncExecutionCallback > cb)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00689">InferenceModel.hpp:689</a></div></div> +<div class="ttc" id="_heap_profiling_8hpp_xhtml_aeeb927880fc4ffc2eea754a67d884a53"><div class="ttname"><a href="_heap_profiling_8hpp.xhtml#aeeb927880fc4ffc2eea754a67d884a53">ARMNN_SCOPED_HEAP_PROFILING</a></div><div class="ttdeci">#define ARMNN_SCOPED_HEAP_PROFILING(TAG)</div><div class="ttdef"><b>Definition:</b> <a href="_heap_profiling_8hpp_source.xhtml#l00045">HeapProfiling.hpp:45</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a0d8160388a127c1a23b37bc88dc6e2ec"><div class="ttname"><a href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00025">IRuntime.hpp:25</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1"><div class="ttname"><a href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">armnn::ShapeInferenceMethod::ValidateOnly</a></div><div class="ttdoc">Validate all output shapes. </div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00393">Tensor.hpp:393</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00029">Types.hpp:29</a></div></div> +<div class="ttc" id="classarmnn_onnx_parser_1_1_i_onnx_parser_xhtml"><div class="ttname"><a href="classarmnn_onnx_parser_1_1_i_onnx_parser.xhtml">armnnOnnxParser::IOnnxParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_onnx_parser_8hpp_source.xhtml#l00023">IOnnxParser.hpp:23</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr< IOptimizedNetwork, void(*)(IOptimizedNetwork *network)> IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00198">INetwork.hpp:198</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a1a09727b3f781272e702516fffb7d97f"><div class="ttname"><a href="class_inference_model.xhtml#a1a09727b3f781272e702516fffb7d97f">InferenceModel::GetQuantizationParams</a></div><div class="ttdeci">QuantizationParams GetQuantizationParams(unsigned int outputIndex=0u) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00748">InferenceModel.hpp:748</a></div></div> +<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml_a1b1892da2aaf7eaedaa38671d56b7f19"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml#a1b1892da2aaf7eaedaa38671d56b7f19">armnn::OptimizerOptions::m_ProfilingEnabled</a></div><div class="ttdeci">bool m_ProfilingEnabled</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00192">INetwork.hpp:192</a></div></div> +<div class="ttc" id="classarmnn_1_1experimental_1_1_i_working_mem_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1experimental_1_1_i_working_mem_handle.xhtml">armnn::experimental::IWorkingMemHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_working_mem_handle_8hpp_source.xhtml#l00018">IWorkingMemHandle.hpp:18</a></div></div> +<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_ade1a8545be49b1c10e724ea8536907c7"><div class="ttname"><a href="class_inference_model.xhtml#ade1a8545be49b1c10e724ea8536907c7">InferenceModel::GetAllQuantizationParams</a></div><div class="ttdeci">std::vector< QuantizationParams > GetAllQuantizationParams() const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00762">InferenceModel.hpp:762</a></div></div> +<div class="ttc" id="namespace_inference_model_internal_xhtml_a6e713a319588c57fc854bc478f5ee13a"><div class="ttname"><a href="namespace_inference_model_internal.xhtml#a6e713a319588c57fc854bc478f5ee13a">InferenceModelInternal::QuantizationParams</a></div><div class="ttdeci">std::pair< float, int32_t > QuantizationParams</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00087">InferenceModel.hpp:87</a></div></div> +<div class="ttc" id="structarmnn_1_1_optimizer_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.xhtml">armnn::OptimizerOptions</a></div><div class="ttdoc">ArmNN performs an optimization on each model/network before it gets loaded for execution. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00120">INetwork.hpp:120</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a5c7f0c083da98e7b6e9ba79d2fcd985d"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a5c7f0c083da98e7b6e9ba79d2fcd985d">InferenceModelInternal::Params::m_ParseUnsupported</a></div><div class="ttdeci">bool m_ParseUnsupported</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00103">InferenceModel.hpp:103</a></div></div> +<div class="ttc" id="_cxxopts_utils_8hpp_xhtml"><div class="ttname"><a href="_cxxopts_utils_8hpp.xhtml">CxxoptsUtils.hpp</a></div></div> +<div class="ttc" id="_i_onnx_parser_8hpp_xhtml"><div class="ttname"><a href="_i_onnx_parser_8hpp.xhtml">IOnnxParser.hpp</a></div></div> +<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00209">Exceptions.hpp:209</a></div></div> +<div class="ttc" id="namespacearmnn_utils_xhtml_ad4efd5a7fa660df5246466d83517220d"><div class="ttname"><a href="namespacearmnn_utils.xhtml#ad4efd5a7fa660df5246466d83517220d">armnnUtils::MakeOutputTensors</a></div><div class="ttdeci">armnn::OutputTensors MakeOutputTensors(const std::vector< armnn::BindingPointInfo > &outputBindings, std::vector< TContainer > &outputDataContainers)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_i_o_utils_8hpp_source.xhtml#l00056">TensorIOUtils.hpp:56</a></div></div> +<div class="ttc" id="struct_inference_model_1_1_command_line_options_xhtml_a0b99050baebe1d169392461b3a9be08d"><div class="ttname"><a href="struct_inference_model_1_1_command_line_options.xhtml#a0b99050baebe1d169392461b3a9be08d">InferenceModel::CommandLineOptions::m_EnableBf16TurboMode</a></div><div class="ttdeci">bool m_EnableBf16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00387">InferenceModel.hpp:387</a></div></div> +<div class="ttc" id="_logging_8hpp_xhtml"><div class="ttname"><a href="_logging_8hpp.xhtml">Logging.hpp</a></div></div> +<div class="ttc" id="_t_container_8hpp_xhtml"><div class="ttname"><a href="_t_container_8hpp.xhtml">TContainer.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00108">IRuntime.hpp:108</a></div></div> +<div class="ttc" id="struct_inference_model_1_1_command_line_options_xhtml_aaae50a6c0f73e4c210c2e4331c439482"><div class="ttname"><a href="struct_inference_model_1_1_command_line_options.xhtml#aaae50a6c0f73e4c210c2e4331c439482">InferenceModel::CommandLineOptions::m_VisualizePostOptimizationModel</a></div><div class="ttdeci">bool m_VisualizePostOptimizationModel</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00385">InferenceModel.hpp:385</a></div></div> +<div class="ttc" id="structarmnn_1_1_backend_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_backend_options.xhtml">armnn::BackendOptions</a></div><div class="ttdoc">Struct for the users to pass backend specific options. </div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.xhtml#l00021">BackendOptions.hpp:21</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a2a245a63e87f363df491ad8c35be54c5"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a2a245a63e87f363df491ad8c35be54c5">InferenceModelInternal::Params::m_InferOutputShape</a></div><div class="ttdeci">bool m_InferOutputShape</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00104">InferenceModel.hpp:104</a></div></div> +<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml_ae43cf4b5df0068ee6a9151c98947248b"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#ae43cf4b5df0068ee6a9151c98947248b">armnn::IRuntime::CreationOptions::m_DynamicBackendsPath</a></div><div class="ttdeci">std::string m_DynamicBackendsPath</div><div class="ttdoc">Setting this value will override the paths set by the DYNAMIC_BACKEND_PATHS compiler directive Only a...</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00129">IRuntime.hpp:129</a></div></div> +<div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml_a2fe8c3eadf4f4f9c0c664a24a2a298f9"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml#a2fe8c3eadf4f4f9c0c664a24a2a298f9">armnn::IRuntime::CreationOptions::m_EnableGpuProfiling</a></div><div class="ttdeci">bool m_EnableGpuProfiling</div><div class="ttdoc">Setting this flag will allow the user to obtain GPU profiling information from the runtime...</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00124">IRuntime.hpp:124</a></div></div> +<div class="ttc" id="_assert_8hpp_xhtml"><div class="ttname"><a href="_assert_8hpp.xhtml">Assert.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_acde2af8cbbd224a9f94e509ca538a775"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#acde2af8cbbd224a9f94e509ca538a775">InferenceModelInternal::Params::m_PrintIntermediateLayers</a></div><div class="ttdeci">bool m_PrintIntermediateLayers</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00102">InferenceModel.hpp:102</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a9f8881646a38f828f92d3354930c4165"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a9f8881646a38f828f92d3354930c4165">InferenceModelInternal::Params::m_CachedNetworkFilePath</a></div><div class="ttdeci">std::string m_CachedNetworkFilePath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00109">InferenceModel.hpp:109</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></div><div class="ttdeci">std::pair< armnn::LayerBindingId, armnn::TensorInfo > BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00274">Tensor.hpp:274</a></div></div> +<div class="ttc" id="struct_create_network_impl_xhtml_a4cbece5e7793be85f9a1e8a0ab9e02f8"><div class="ttname"><a href="struct_create_network_impl.xhtml#a4cbece5e7793be85f9a1e8a0ab9e02f8">CreateNetworkImpl::Create</a></div><div class="ttdeci">static armnn::INetworkPtr Create(const Params &params, std::vector< armnn::BindingPointInfo > &inputBindings, std::vector< armnn::BindingPointInfo > &outputBindings)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00146">InferenceModel.hpp:146</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a6d789a57513b4b26e31eaed316e45b7f"><div class="ttname"><a href="class_inference_model.xhtml#a6d789a57513b4b26e31eaed316e45b7f">InferenceModel::CreateWorkingMemHandle</a></div><div class="ttdeci">std::unique_ptr< armnn::experimental::IWorkingMemHandle > CreateWorkingMemHandle()</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00772">InferenceModel.hpp:772</a></div></div> +<div class="ttc" id="_i_deserializer_8hpp_xhtml"><div class="ttname"><a href="_i_deserializer_8hpp.xhtml">IDeserializer.hpp</a></div></div> +<div class="ttc" id="struct_inference_model_1_1_command_line_options_xhtml_a56f7be77245196289f2bf0cce1dca31c"><div class="ttname"><a href="struct_inference_model_1_1_command_line_options.xhtml#a56f7be77245196289f2bf0cce1dca31c">InferenceModel::CommandLineOptions::GetComputeDevicesAsBackendIds</a></div><div class="ttdeci">std::vector< armnn::BackendId > GetComputeDevicesAsBackendIds()</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00390">InferenceModel.hpp:390</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70bae139a585510a502bbf1841cf589f5086">armnn::Status::Failure</a></div></div> +<div class="ttc" id="structarmnn_deserializer_1_1_binding_point_info_xhtml_aa308d10e76e29f09e44a933a2d091a79"><div class="ttname"><a href="structarmnn_deserializer_1_1_binding_point_info.xhtml#aa308d10e76e29f09e44a933a2d091a79">armnnDeserializer::BindingPointInfo::m_TensorInfo</a></div><div class="ttdeci">armnn::TensorInfo m_TensorInfo</div><div class="ttdef"><b>Definition:</b> <a href="_i_deserializer_8hpp_source.xhtml#l00021">IDeserializer.hpp:21</a></div></div> +<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00046">Exceptions.hpp:46</a></div></div> +<div class="ttc" id="struct_inference_model_1_1_command_line_options_xhtml_a2b6e92b247e830ff78d04266ff130a92"><div class="ttname"><a href="struct_inference_model_1_1_command_line_options.xhtml#a2b6e92b247e830ff78d04266ff130a92">InferenceModel::CommandLineOptions::m_ComputeDevices</a></div><div class="ttdeci">std::vector< std::string > m_ComputeDevices</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00383">InferenceModel.hpp:383</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a679e4b22a845c8d7f58f6ca6a5df625f"><div class="ttname"><a href="class_inference_model.xhtml#a679e4b22a845c8d7f58f6ca6a5df625f">InferenceModel::GetInputSize</a></div><div class="ttdeci">unsigned int GetInputSize(unsigned int inputIndex=0u) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00576">InferenceModel.hpp:576</a></div></div> +<div class="ttc" id="_tf_lite_yolo_v3_big-_armnn_8cpp_xhtml_a47e2cf3b998bc6a55711799ac97d6eee"><div class="ttname"><a href="_tf_lite_yolo_v3_big-_armnn_8cpp.xhtml#a47e2cf3b998bc6a55711799ac97d6eee">MakeOutputTensors</a></div><div class="ttdeci">armnn::OutputTensors MakeOutputTensors(const std::vector< armnn::BindingPointInfo > &outputBindings, const std::vector< std::reference_wrapper< TContainer >> &outputDataContainers)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_yolo_v3_big-_armnn_8cpp_source.xhtml#l00074">TfLiteYoloV3Big-Armnn.cpp:74</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ae96fc745917a3a0c0de7a818c9a05012"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ae96fc745917a3a0c0de7a818c9a05012">InferenceModelInternal::Params::m_OutputDetailsToStdOut</a></div><div class="ttdeci">bool m_OutputDetailsToStdOut</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00107">InferenceModel.hpp:107</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ac609a217f4de4c647422dbb358a5f2ef"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ac609a217f4de4c647422dbb358a5f2ef">InferenceModelInternal::Params::m_MLGOTuningFilePath</a></div><div class="ttdeci">std::string m_MLGOTuningFilePath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00111">InferenceModel.hpp:111</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_adc650e032e7fce99f15e2bf903e7167b"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#adc650e032e7fce99f15e2bf903e7167b">InferenceModelInternal::Params::m_NumberOfThreads</a></div><div class="ttdeci">unsigned int m_NumberOfThreads</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00110">InferenceModel.hpp:110</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_ab17deb382179697b4702cc4f909e71f8"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#ab17deb382179697b4702cc4f909e71f8">InferenceModelInternal::Params::m_OutputDetailsOnlyToStdOut</a></div><div class="ttdeci">bool m_OutputDetailsOnlyToStdOut</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00108">InferenceModel.hpp:108</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a4fa312cf0d60fbd3988a7c76ab8e2980"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a4fa312cf0d60fbd3988a7c76ab8e2980">InferenceModelInternal::Params::m_ModelPath</a></div><div class="ttdeci">std::string m_ModelPath</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00091">InferenceModel.hpp:91</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00035">NumericCast.hpp:35</a></div></div> +<div class="ttc" id="_string_utils_8hpp_xhtml"><div class="ttname"><a href="_string_utils_8hpp.xhtml">StringUtils.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb"><div class="ttname"><a href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">armnn::ShapeInferenceMethod::InferAndValidate</a></div><div class="ttdoc">Infer missing output shapes and validate all output shapes. </div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a6bf2f586c403977d31c7d32d371918cf"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">InferenceModelInternal::Params::m_IsModelBinary</a></div><div class="ttdeci">bool m_IsModelBinary</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00098">InferenceModel.hpp:98</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml_a2d4582aa74998c397bd064ae73745b62"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml#a2d4582aa74998c397bd064ae73745b62">InferenceModelInternal::Params::m_SubgraphId</a></div><div class="ttdeci">size_t m_SubgraphId</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00097">InferenceModel.hpp:97</a></div></div> +<div class="ttc" id="struct_inference_model_1_1_command_line_options_xhtml_a237e6ca9811ae2195fbe8f30aa696e5b"><div class="ttname"><a href="struct_inference_model_1_1_command_line_options.xhtml#a237e6ca9811ae2195fbe8f30aa696e5b">InferenceModel::CommandLineOptions::m_Labels</a></div><div class="ttdeci">std::string m_Labels</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00388">InferenceModel.hpp:388</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#l00197">INetwork.hpp:197</a></div></div> +<div class="ttc" id="classarmnn_deserializer_1_1_i_deserializer_xhtml"><div class="ttname"><a href="classarmnn_deserializer_1_1_i_deserializer.xhtml">armnnDeserializer::IDeserializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_deserializer_8hpp_source.xhtml#l00027">IDeserializer.hpp:27</a></div></div> +<div class="ttc" id="structarmnn_deserializer_1_1_binding_point_info_xhtml_a663b3104ec65e4e08b5e37fb42942087"><div class="ttname"><a href="structarmnn_deserializer_1_1_binding_point_info.xhtml#a663b3104ec65e4e08b5e37fb42942087">armnnDeserializer::BindingPointInfo::m_BindingId</a></div><div class="ttdeci">armnn::LayerBindingId m_BindingId</div><div class="ttdef"><b>Definition:</b> <a href="_i_deserializer_8hpp_source.xhtml#l00020">IDeserializer.hpp:20</a></div></div> +<div class="ttc" id="_heap_profiling_8hpp_xhtml"><div class="ttname"><a href="_heap_profiling_8hpp.xhtml">HeapProfiling.hpp</a></div></div> +<div class="ttc" id="struct_inference_model_internal_1_1_params_xhtml"><div class="ttname"><a href="struct_inference_model_internal_1_1_params.xhtml">InferenceModelInternal::Params</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00089">InferenceModel.hpp:89</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a72a6db08ffca660ece7c2d86e2a14daa"><div class="ttname"><a href="class_inference_model.xhtml#a72a6db08ffca660ece7c2d86e2a14daa">InferenceModel::CheckOutputIndexIsValid</a></div><div class="ttdeci">void CheckOutputIndexIsValid(unsigned int outputIndex) const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00568">InferenceModel.hpp:568</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8e72227ebe5ac505cf44790f2e6eb488a87f8a6ab85c9ced3702b4ea641ad4bb5"><div class="ttname"><a href="namespacearmnn.xhtml#a8e72227ebe5ac505cf44790f2e6eb488a87f8a6ab85c9ced3702b4ea641ad4bb5">armnn::QosExecPriority::Medium</a></div></div> +<div class="ttc" id="class_inference_model_xhtml_a0e0f3330fc1e6c1fa1d99d731490c483"><div class="ttname"><a href="class_inference_model.xhtml#a0e0f3330fc1e6c1fa1d99d731490c483">InferenceModel::GetInputBindingInfos</a></div><div class="ttdeci">const std::vector< armnn::BindingPointInfo > & GetInputBindingInfos() const</div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00732">InferenceModel.hpp:732</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_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="_inference_model_8hpp.xhtml">InferenceModel.hpp</a></li> + <li class="footer">Generated on Wed Nov 17 2021 12:59:36 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> |