1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
|
<!-- 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/TfLiteBenchmark-Armnn/TfLiteBenchmark-Armnn.cpp 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">21.08</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.13 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
$(function() {
initMenu('',true,false,'search.php','Search');
$(document).ready(function() { init_search(); });
});
</script>
<div id="main-nav"></div>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
<div id="nav-tree">
<div id="nav-tree-contents">
<div id="nav-sync" class="sync"></div>
</div>
</div>
<div id="splitbar" style="-moz-user-select:none;"
class="ui-resizable-handle">
</div>
</div>
<script type="text/javascript">
$(document).ready(function(){initNavTree('_tf_lite_benchmark-_armnn_8cpp_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">TfLiteBenchmark-Armnn.cpp</div> </div>
</div><!--header-->
<div class="contents">
<a href="_tf_lite_benchmark-_armnn_8cpp.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 © 2020 STMicroelectronics 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">#include <algorithm></span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <getopt.h></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <numeric></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <signal.h></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <sys/time.h></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_backend_id_8hpp.xhtml">armnn/BackendId.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_backend_registry_8hpp.xhtml">armnn/BackendRegistry.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_i_runtime_8hpp.xhtml">armnn/IRuntime.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</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="l00018"></a><span class="lineno"> 18</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="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">// Application parameters</span></div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a05e380d8db6803e902ee10ada180bf9c"> 21</a></span> std::vector<armnn::BackendId> <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a05e380d8db6803e902ee10ada180bf9c">default_preferred_backends_order</a> = {<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::Compute::CpuAcc</a>, <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a>};</div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8"> 22</a></span> std::vector<armnn::BackendId> <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a>;</div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984"> 23</a></span> std::string <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a>;</div><div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4"> 24</a></span> std::string <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4">preferred_backend_str</a>;</div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de"> 25</a></span> <span class="keywordtype">int</span> <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a> = 1;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ae3d72fe1ace913f5f5846f55b98a5959"> 27</a></span> <span class="keywordtype">double</span> <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ae3d72fe1ace913f5f5846f55b98a5959">get_us</a>(<span class="keyword">struct</span> timeval t)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">return</span> (armnn::numeric_cast<double>(t.tv_sec) *</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  armnn::numeric_cast<double>(1000000) +</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  armnn::numeric_cast<double>(t.tv_usec));</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> }</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#add162d6cfc9aa5f0d3edc407066154a2"> 34</a></span> <span class="keywordtype">double</span> <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#add162d6cfc9aa5f0d3edc407066154a2">get_ms</a>(<span class="keyword">struct</span> timeval t)</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> (armnn::numeric_cast<double>(t.tv_sec) *</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  armnn::numeric_cast<double>(1000) +</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  armnn::numeric_cast<double>(t.tv_usec) / 1000);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</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="keyword">static</span> <span class="keywordtype">void</span> print_help(<span class="keywordtype">char</span>** argv)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  std::cout <<</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="stringliteral">"Usage: "</span> << argv[0] << <span class="stringliteral">" -m <model .tflite>\n"</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="stringliteral">"\n"</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="stringliteral">"-m --model_file <.tflite file path>: .tflite model to be executed\n"</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="stringliteral">"-b --backend <device>: preferred backend device to run layers on by default. Possible choices: "</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  << <a class="code" href="namespacearmnn.xhtml#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a>().<a class="code" href="classarmnn_1_1_backend_registry.xhtml#ae1de2f7ca1db17f45f97155e239b8b45">GetBackendIdsAsString</a>() << <span class="stringliteral">"\n"</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="stringliteral">" (by default CpuAcc, CpuRef)\n"</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="stringliteral">"-l --loops <int>: provide the number of times the inference will be executed\n"</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="stringliteral">" (by default nb_loops=1)\n"</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="stringliteral">"--help: show this help\n"</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  exit(1);</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> </div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aefcb3f70374ff9b6256aac6e12870399"> 56</a></span> <span class="keywordtype">void</span> <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aefcb3f70374ff9b6256aac6e12870399">process_args</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>** argv)</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* <span class="keyword">const</span> short_opts = <span class="stringliteral">"m:b:l:h"</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">const</span> option long_opts[] = {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {<span class="stringliteral">"model_file"</span>, required_argument, <span class="keyword">nullptr</span>, <span class="charliteral">'m'</span>},</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {<span class="stringliteral">"backend"</span>, required_argument, <span class="keyword">nullptr</span>, <span class="charliteral">'b'</span>},</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {<span class="stringliteral">"loops"</span>, required_argument, <span class="keyword">nullptr</span>, <span class="charliteral">'l'</span>},</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {<span class="stringliteral">"help"</span>, no_argument, <span class="keyword">nullptr</span>, <span class="charliteral">'h'</span>},</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {<span class="keyword">nullptr</span>, no_argument, <span class="keyword">nullptr</span>, 0}</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  };</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">while</span> (<span class="keyword">true</span>)</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> <span class="keyword">auto</span> opt = getopt_long(argc, argv, short_opts, long_opts, <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">if</span> (-1 == opt)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">switch</span> (opt)</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">case</span> <span class="charliteral">'m'</span>:</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a> = std::string(optarg);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::cout << <span class="stringliteral">"model file set to: "</span> << <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a> << std::endl;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">case</span> <span class="charliteral">'b'</span>:</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4">preferred_backend_str</a> = std::string(optarg);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// Overwrite the backend</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a>.push_back(<a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4">preferred_backend_str</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"> 87</span>  std::cout << <span class="stringliteral">"backend device set to:"</span> << <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4">preferred_backend_str</a> << std::endl;;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">case</span> <span class="charliteral">'l'</span>:</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a> = std::stoi(optarg);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  std::cout << <span class="stringliteral">"benchmark will execute "</span> << <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a> << <span class="stringliteral">" inference(s)"</span> << std::endl;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">case</span> <span class="charliteral">'h'</span>: <span class="comment">// -h or --help</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">case</span> <span class="charliteral">'?'</span>: <span class="comment">// Unrecognized option</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  print_help(argv);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">if</span> (<a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a>.empty())</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  print_help(argv);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97"> 107</a></span> <span class="keywordtype">int</span> <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>* argv[])</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  std::vector<double> inferenceTimes;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// Get options</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aefcb3f70374ff9b6256aac6e12870399">process_args</a>(argc, argv);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Create the runtime</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</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="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a> runtime(<a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a>(options));</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// Create Parser</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="namespacearmnn_tf_lite_parser.xhtml#af69bedce3c37be895f75146016ba8a17">armnnTfLiteParser::ITfLiteParserPtr</a> armnnparser(<a class="code" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml#a9932449a89a62cfcfd72a4fedbee1ab7">armnnTfLiteParser::ITfLiteParser::Create</a>());</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// Create a network</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network = armnnparser->CreateNetworkFromBinaryFile(<a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a>.c_str());</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">if</span> (!network)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">"Failed to create an ArmNN network"</span>);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  }</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Optimize the network</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">if</span> (<a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a>.size() == 0)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a> = <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a05e380d8db6803e902ee10ada180bf9c">default_preferred_backends_order</a>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a> optimizedNet = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a>(*network,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a>,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  runtime->GetDeviceSpec());</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId;</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">// Load the network in to the runtime</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  runtime->LoadNetwork(networkId, std::move(optimizedNet));</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// Check the number of subgraph</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">if</span> (armnnparser->GetSubgraphCount() != 1)</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  std::cout << <span class="stringliteral">"Model with more than 1 subgraph is not supported by this benchmark application.\n"</span>;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  exit(0);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordtype">size_t</span> subgraphId = 0;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// Set up the input network</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  std::cout << <span class="stringliteral">"\nModel information:"</span> << std::endl;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  std::vector<armnnTfLiteParser::BindingPointInfo> inputBindings;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  std::vector<armnn::TensorInfo> inputTensorInfos;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  std::vector<std::string> inputTensorNames = armnnparser->GetSubgraphInputTensorNames(subgraphId);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputTensorNames.size() ; i++)</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  std::cout << <span class="stringliteral">"inputTensorNames["</span> << i << <span class="stringliteral">"] = "</span> << inputTensorNames[i] << std::endl;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="namespacearmnn_tf_lite_parser.xhtml#a9084adbf804022c874039ad40d1939e9">armnnTfLiteParser::BindingPointInfo</a> inputBinding = armnnparser->GetNetworkInputBindingInfo(</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  subgraphId,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  inputTensorNames[i]);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo = runtime->GetInputTensorInfo(networkId, inputBinding.first);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  inputBindings.push_back(inputBinding);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  inputTensorInfos.push_back(inputTensorInfo);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  }</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="comment">// Set up the output network</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  std::vector<armnnTfLiteParser::BindingPointInfo> outputBindings;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  std::vector<armnn::TensorInfo> outputTensorInfos;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  std::vector<std::string> outputTensorNames = armnnparser->GetSubgraphOutputTensorNames(subgraphId);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputTensorNames.size() ; 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>  std::cout << <span class="stringliteral">"outputTensorNames["</span> << i << <span class="stringliteral">"] = "</span> << outputTensorNames[i] << std::endl;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="namespacearmnn_tf_lite_parser.xhtml#a9084adbf804022c874039ad40d1939e9">armnnTfLiteParser::BindingPointInfo</a> outputBinding = armnnparser->GetNetworkOutputBindingInfo(</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  subgraphId,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  outputTensorNames[i]);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = runtime->GetOutputTensorInfo(networkId, outputBinding.first);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  outputBindings.push_back(outputBinding);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  outputTensorInfos.push_back(outputTensorInfo);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Allocate input tensors</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nb_inputs = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(inputTensorInfos.size());</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> inputTensors;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  std::vector<std::vector<float>> in;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0 ; i < nb_inputs ; i++)</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>  std::vector<float> in_data(inputTensorInfos.at(i).GetNumElements());</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  in.push_back(in_data);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  inputTensors.push_back({ inputBindings[i].first, <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a>(inputBindings[i].second, in[i].data()) });</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }</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>  <span class="comment">// Allocate output tensors</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nb_ouputs = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(outputTensorInfos.size());</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  std::vector<std::vector<float>> out;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < nb_ouputs ; i++)</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>  std::vector<float> out_data(outputTensorInfos.at(i).GetNumElements());</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  out.push_back(out_data);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  outputTensors.push_back({ outputBindings[i].first, <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a>(outputBindings[i].second, out[i].data()) });</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  }</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="comment">// Run the inferences</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  std::cout << <span class="stringliteral">"\ninferences are running: "</span> << std::flush;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0 ; i < <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a> ; i++)</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">struct </span>timeval start_time, stop_time;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  gettimeofday(&start_time, <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  runtime->EnqueueWorkload(networkId, inputTensors, outputTensors);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  gettimeofday(&stop_time, <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  inferenceTimes.push_back((<a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ae3d72fe1ace913f5f5846f55b98a5959">get_us</a>(stop_time) - <a class="code" href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ae3d72fe1ace913f5f5846f55b98a5959">get_us</a>(start_time)));</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  std::cout << <span class="stringliteral">"# "</span> << std::flush;</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>  <span class="keyword">auto</span> maxInfTime = *std::max_element(inferenceTimes.begin(), inferenceTimes.end());</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">auto</span> minInfTime = *std::min_element(inferenceTimes.begin(), inferenceTimes.end());</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">auto</span> avgInfTime = accumulate(inferenceTimes.begin(), inferenceTimes.end(), 0.0) /</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">double</span>>(inferenceTimes.size());</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  std::cout << <span class="stringliteral">"\n\ninference time: "</span>;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  std::cout << <span class="stringliteral">"min="</span> << minInfTime << <span class="stringliteral">"us "</span>;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::cout << <span class="stringliteral">"max="</span> << maxInfTime << <span class="stringliteral">"us "</span>;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  std::cout << <span class="stringliteral">"avg="</span> << avgInfTime << <span class="stringliteral">"us"</span> << std::endl;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> }</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#l00039">Runtime.cpp:39</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdoc">CPU Execution: Reference C++ kernels. </div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr< IRuntime, void(*)(IRuntime *runtime)> IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00030">IRuntime.hpp:30</a></div></div>
<div class="ttc" id="_i_runtime_8hpp_xhtml"><div class="ttname"><a href="_i_runtime_8hpp.xhtml">IRuntime.hpp</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_aaa728eb736da07d15a707029028118de"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aaa728eb736da07d15a707029028118de">nb_loops</a></div><div class="ttdeci">int nb_loops</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00025">TfLiteBenchmark-Armnn.cpp:25</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="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#l00360">Tensor.hpp:360</a></div></div>
<div class="ttc" id="namespacearmnn_tf_lite_parser_xhtml_af69bedce3c37be895f75146016ba8a17"><div class="ttname"><a href="namespacearmnn_tf_lite_parser.xhtml#af69bedce3c37be895f75146016ba8a17">armnnTfLiteParser::ITfLiteParserPtr</a></div><div class="ttdeci">std::unique_ptr< ITfLiteParser, void(*)(ITfLiteParser *parser)> ITfLiteParserPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.xhtml#l00024">ITfLiteParser.hpp:24</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="_backend_registry_8hpp_xhtml"><div class="ttname"><a href="_backend_registry_8hpp.xhtml">BackendRegistry.hpp</a></div></div>
<div class="ttc" id="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser_xhtml_a9932449a89a62cfcfd72a4fedbee1ab7"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml#a9932449a89a62cfcfd72a4fedbee1ab7">armnnTfLiteParser::ITfLiteParser::Create</a></div><div class="ttdeci">static ITfLiteParserPtr Create(const armnn::Optional< TfLiteParserOptions > &options=armnn::EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8cpp_source.xhtml#l00064">TfLiteParser.cpp:64</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="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00319">Tensor.hpp:319</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="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#l01613">Network.cpp:1613</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#l00024">IRuntime.hpp:24</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00327">Tensor.hpp:327</a></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#l00361">Tensor.hpp:361</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_ae3d72fe1ace913f5f5846f55b98a5959"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ae3d72fe1ace913f5f5846f55b98a5959">get_us</a></div><div class="ttdeci">double get_us(struct timeval t)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00027">TfLiteBenchmark-Armnn.cpp:27</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#l00173">INetwork.hpp:173</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_aefcb3f70374ff9b6256aac6e12870399"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aefcb3f70374ff9b6256aac6e12870399">process_args</a></div><div class="ttdeci">void process_args(int argc, char **argv)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00056">TfLiteBenchmark-Armnn.cpp:56</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_ab08a4340366edc1a450635a28a5f3984"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ab08a4340366edc1a450635a28a5f3984">model_file_str</a></div><div class="ttdeci">std::string model_file_str</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00023">TfLiteBenchmark-Armnn.cpp:23</a></div></div>
<div class="ttc" id="_backend_id_8hpp_xhtml"><div class="ttname"><a href="_backend_id_8hpp.xhtml">BackendId.hpp</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_a0ddf1224851353fc92bfbff6f499fa97"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">main</a></div><div class="ttdeci">int main(int argc, char *argv[])</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00107">TfLiteBenchmark-Armnn.cpp:107</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_a05e380d8db6803e902ee10ada180bf9c"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#a05e380d8db6803e902ee10ada180bf9c">default_preferred_backends_order</a></div><div class="ttdeci">std::vector< armnn::BackendId > default_preferred_backends_order</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00021">TfLiteBenchmark-Armnn.cpp:21</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#l00101">IRuntime.hpp:101</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_add162d6cfc9aa5f0d3edc407066154a2"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#add162d6cfc9aa5f0d3edc407066154a2">get_ms</a></div><div class="ttdeci">double get_ms(struct timeval t)</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00034">TfLiteBenchmark-Armnn.cpp:34</a></div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_ad0122c5d8e81deb24ddc15559ab88fa4"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#ad0122c5d8e81deb24ddc15559ab88fa4">preferred_backend_str</a></div><div class="ttdeci">std::string preferred_backend_str</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00024">TfLiteBenchmark-Armnn.cpp:24</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="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::Compute::CpuAcc</a></div><div class="ttdoc">CPU Execution: NEON: ArmCompute. </div></div>
<div class="ttc" id="_tf_lite_benchmark-_armnn_8cpp_xhtml_aabb2e0ed0630c978f4049b8a532af9d8"><div class="ttname"><a href="_tf_lite_benchmark-_armnn_8cpp.xhtml#aabb2e0ed0630c978f4049b8a532af9d8">preferred_backends_order</a></div><div class="ttdeci">std::vector< armnn::BackendId > preferred_backends_order</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_benchmark-_armnn_8cpp_source.xhtml#l00022">TfLiteBenchmark-Armnn.cpp:22</a></div></div>
<div class="ttc" id="namespacearmnn_tf_lite_parser_xhtml_a9084adbf804022c874039ad40d1939e9"><div class="ttname"><a href="namespacearmnn_tf_lite_parser.xhtml#a9084adbf804022c874039ad40d1939e9">armnnTfLiteParser::BindingPointInfo</a></div><div class="ttdeci">armnn::BindingPointInfo BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.xhtml#l00020">ITfLiteParser.hpp:20</a></div></div>
<div class="ttc" id="namespacearmnn_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="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#l00172">INetwork.hpp:172</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="dir_a7a49a416e46eae238f261ac197dd364.xhtml">TfLiteBenchmark-Armnn</a></li><li class="navelem"><a class="el" href="_tf_lite_benchmark-_armnn_8cpp.xhtml">TfLiteBenchmark-Armnn.cpp</a></li>
<li class="footer">Generated on Tue Aug 24 2021 16:18:45 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>
|
