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
|
<!-- 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/ExecuteNetwork/ExecuteNetworkParams.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('_execute_network_params_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">ExecuteNetworkParams.cpp</div> </div>
</div><!--header-->
<div class="contents">
<a href="_execute_network_params_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 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">#include "<a class="code" href="_execute_network_params_8hpp.xhtml">ExecuteNetworkParams.hpp</a>"</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> <span class="preprocessor">#include "<a class="code" href="_network_execution_utils_8hpp.xhtml">NetworkExecutionUtils/NetworkExecutionUtils.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_inference_model_8hpp.xhtml">InferenceModel.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.xhtml">armnn/Logging.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <fmt/format.h></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"><a class="line" href="_execute_network_params_8cpp.xhtml#a59c1f5f5c5c9fc85c284e0518d32cfad"> 14</a></span> <span class="keywordtype">bool</span> <a class="code" href="_execute_network_params_8cpp.xhtml#a59c1f5f5c5c9fc85c284e0518d32cfad">IsModelBinary</a>(<span class="keyword">const</span> std::string& modelFormat)</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="comment">// Parse model binary flag from the model-format string we got from the command-line</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"binary"</span>) != std::string::npos)</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="keywordflow">return</span> <span class="keyword">true</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="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"txt"</span>) != std::string::npos || modelFormat.find(<span class="stringliteral">"text"</span>) != std::string::npos)</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  }</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Unknown model format: '{}'. "</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="stringliteral">"Please include 'binary' or 'text'"</span>,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  modelFormat));</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> }</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="_execute_network_params_8cpp.xhtml#a4da63fa4fda7dbcd1f71f813fbd527eb"> 33</a></span> <span class="keywordtype">void</span> <a class="code" href="_execute_network_params_8cpp.xhtml#a4da63fa4fda7dbcd1f71f813fbd527eb">CheckModelFormat</a>(<span class="keyword">const</span> std::string& modelFormat)</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="comment">// Forward to implementation based on the parser type</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"armnn"</span>) != std::string::npos)</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#if defined(ARMNN_SERIALIZER)</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(<span class="stringliteral">"Can't run model in armnn format without a "</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="stringliteral">"built with serialization support."</span>);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"onnx"</span>) != std::string::npos)</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#if defined(ARMNN_ONNX_PARSER)</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(<span class="stringliteral">"Can't run model in onnx format without a "</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="stringliteral">"built with Onnx parser support."</span>);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#endif</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="keywordflow">else</span> <span class="keywordflow">if</span> (modelFormat.find(<span class="stringliteral">"tflite"</span>) != std::string::npos)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="preprocessor">#if defined(ARMNN_TF_LITE_PARSER)</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">if</span> (!<a class="code" href="_execute_network_params_8cpp.xhtml#a59c1f5f5c5c9fc85c284e0518d32cfad">IsModelBinary</a>(modelFormat))</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">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Unknown model format: '{}'. Only 'binary' "</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="stringliteral">"format supported for tflite files"</span>,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  modelFormat));</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  }</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor">#elif defined(ARMNN_TFLITE_DELEGATE)</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(<span class="stringliteral">"Can't run model in tflite format without a "</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="stringliteral">"built with Tensorflow Lite parser support."</span>);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#endif</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">else</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Unknown model format: '{}'. "</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="stringliteral">"Please include 'tflite' or 'onnx'"</span>,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  modelFormat));</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> }</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="_execute_network_params_8cpp.xhtml#a1271e91c17f407e0f4912edffcd44942"> 75</a></span> <span class="keywordtype">void</span> <a class="code" href="_execute_network_params_8cpp.xhtml#a1271e91c17f407e0f4912edffcd44942">CheckClTuningParameter</a>(<span class="keyword">const</span> <span class="keywordtype">int</span>& tuningLevel,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> std::string& tuningPath,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">const</span> std::vector<armnn::BackendId> computeDevices)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">if</span> (!tuningPath.empty())</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="keywordflow">if</span> (tuningLevel == 0)</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Using cl tuning file: "</span> << tuningPath << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">if</span> (!<a class="code" href="_network_execution_utils_8cpp.xhtml#a6506f23e2f4153a68c87ea03ae423b12">ValidatePath</a>(tuningPath, <span class="keyword">true</span>))</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(<span class="stringliteral">"The tuning path is not valid"</span>);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  }</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> ((1 <= tuningLevel) && (tuningLevel <= 3))</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(info) << <span class="stringliteral">"Starting execution to generate a cl tuning file: "</span> << tuningPath << <span class="stringliteral">"\n"</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  << <span class="stringliteral">"Tuning level in use: "</span> << tuningLevel << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> ((0 < tuningLevel) || (tuningLevel > 3))</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"The tuning level {} is not valid."</span>,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  tuningLevel));</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>  <span class="comment">// Ensure that a GpuAcc is enabled. Otherwise no tuning data are used or genereted</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// Only warn if it's not enabled</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">auto</span> it = std::find(computeDevices.begin(), computeDevices.end(), <span class="stringliteral">"GpuAcc"</span>);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">if</span> (it == computeDevices.end())</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>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"To use Cl Tuning the compute device GpuAcc needs to be active."</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"> 107</span>  }</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> }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="struct_execute_network_params.xhtml#a96a7042f9c83beec8e30088f3d85ed9c"> 111</a></span> <span class="keywordtype">void</span> <a class="code" href="struct_execute_network_params.xhtml#a96a7042f9c83beec8e30088f3d85ed9c">ExecuteNetworkParams::ValidateParams</a>()</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> {</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">if</span> (<a class="code" href="struct_execute_network_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">m_DynamicBackendsPath</a> == <span class="stringliteral">""</span>)</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// Check compute devices are valid unless they are dynamically loaded at runtime</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::string invalidBackends;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">if</span> (!CheckRequestedBackendsAreValid(<a class="code" href="struct_execute_network_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="l00118"></a><span class="lineno"> 118</span>  {</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(fatal) << <span class="stringliteral">"The list of preferred devices contains invalid backend IDs: "</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  << invalidBackends;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="_execute_network_params_8cpp.xhtml#a1271e91c17f407e0f4912edffcd44942">CheckClTuningParameter</a>(<a class="code" href="struct_execute_network_params.xhtml#ad14d073dddd554025957ef73ac183649">m_TuningLevel</a>, <a class="code" href="struct_execute_network_params.xhtml#aaa966b4792eae29d659a78cd6faf1a68">m_TuningPath</a>, <a class="code" href="struct_execute_network_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">m_ComputeDevices</a>);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">if</span> (<a class="code" href="struct_execute_network_params.xhtml#a0b99050baebe1d169392461b3a9be08d">m_EnableBf16TurboMode</a> && <a class="code" href="struct_execute_network_params.xhtml#a513151623e8d448951a0b94ad1946fbe">m_EnableFp16TurboMode</a>)</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(<span class="stringliteral">"BFloat16 and Float16 turbo mode cannot be "</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="stringliteral">"enabled at the same time."</span>);</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> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="struct_execute_network_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">m_IsModelBinary</a> = <a class="code" href="_execute_network_params_8cpp.xhtml#a59c1f5f5c5c9fc85c284e0518d32cfad">IsModelBinary</a>(<a class="code" href="struct_execute_network_params.xhtml#a86800ee44cdb3d1bfd169ec4200212d2">m_ModelFormat</a>);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="_execute_network_params_8cpp.xhtml#a4da63fa4fda7dbcd1f71f813fbd527eb">CheckModelFormat</a>(<a class="code" href="struct_execute_network_params.xhtml#a86800ee44cdb3d1bfd169ec4200212d2">m_ModelFormat</a>);</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>  <span class="comment">// Check input tensor shapes</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">if</span> ((<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>.size() != 0) &&</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  (<a class="code" href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">m_InputTensorShapes</a>.size() != <a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>.size()))</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="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(<span class="stringliteral">"input-name and input-tensor-shape must have "</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="stringliteral">"the same amount of elements. "</span>);</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> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">if</span> (<a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.size() != 0)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">if</span> (!<a class="code" href="_network_execution_utils_8cpp.xhtml#aa8ad60308ed132ba939a09d48a97ac30">ValidatePaths</a>(<a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>, <span class="keyword">true</span>))</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(<span class="stringliteral">"One or more input data file paths are not valid."</span>);</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> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">if</span> (<a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.size() < <a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>.size())</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  {</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  fmt::format(<span class="stringliteral">"According to the number of input names the user provided the network has {} "</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="stringliteral">"inputs. But only {} input-tensor-data file paths were provided. Each input of the "</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="stringliteral">"model is expected to be stored in it's own file."</span>,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>.size(),</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.size()));</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.size() % <a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>.size() != 0)</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_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  fmt::format(<span class="stringliteral">"According to the number of input names the user provided the network has {} "</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="stringliteral">"inputs. The user specified {} input-tensor-data file paths which is not "</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="stringliteral">"divisible by the number of inputs."</span>,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>.size(),</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.size()));</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>  }</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>  <span class="keywordflow">if</span> (<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>.size() == 0)</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>  <span class="comment">//Defaults the value of all inputs to "float"</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>.assign(<a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>.size(), <span class="stringliteral">"float"</span>);</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> ((<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>.size() != 0) &&</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  (<a class="code" href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">m_InputTypes</a>.size() != <a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>.size()))</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(<span class="stringliteral">"input-name and input-type must have the same amount of elements."</span>);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  }</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">// Make sure that the number of input files given is divisible by the number of inputs of the model</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordflow">if</span> (!(<a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.size() % <a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>.size() == 0))</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  {</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  fmt::format(<span class="stringliteral">"The number of input-tensor-data files ({0}) is not divisible by the "</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="stringliteral">"number of inputs ({1} according to the number of input names)."</span>,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">m_InputTensorDataFilePaths</a>.size(),</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">m_InputNames</a>.size()));</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> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">if</span> (<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>.size() == 0)</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="comment">//Defaults the value of all outputs to "float"</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>.assign(<a class="code" href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">m_OutputNames</a>.size(), <span class="stringliteral">"float"</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>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> ((<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>.size() != 0) &&</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  (<a class="code" href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">m_OutputTypes</a>.size() != <a class="code" href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">m_OutputNames</a>.size()))</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(<span class="stringliteral">"output-name and output-type must have the same amount of elements."</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> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="comment">// Make sure that the number of output files given is equal to the number of outputs of the model</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="comment">// or equal to the number of outputs of the model multiplied with the number of iterations</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">if</span> (!<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.empty())</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">if</span> ((<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.size() != <a class="code" href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">m_OutputNames</a>.size()) &&</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  (<a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.size() != <a class="code" href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">m_OutputNames</a>.size() * <a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>))</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  {</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  std::stringstream errmsg;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">auto</span> numOutputs = <a class="code" href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">m_OutputNames</a>.size();</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  fmt::format(<span class="stringliteral">"The user provided {0} output-tensor files. The only allowed number of output-tensor "</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="stringliteral">"files is the number of outputs of the network ({1} according to the number of "</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="stringliteral">"output names) or the number of outputs multiplied with the number of times the "</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="stringliteral">"network should be executed (NumOutputs * NumIterations = {1} * {2} = {3})."</span>,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">m_OutputTensorFiles</a>.size(),</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  numOutputs,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  numOutputs*<a class="code" href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">m_Iterations</a>));</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  }</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  }</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="comment">// Check that threshold time is not less than zero</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">if</span> (<a class="code" href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">m_ThresholdTime</a> < 0)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(<span class="stringliteral">"Threshold time supplied as a command line argument is less than zero."</span>);</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> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="comment">// Warn if ExecuteNetwork will generate dummy input data</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">if</span> (<a class="code" href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">m_GenerateTensorData</a>)</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  {</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="_logging_8hpp.xhtml#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(warning) << <span class="stringliteral">"No input files provided, input tensors will be filled with 0s."</span>;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  }</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> }</div><div class="ttc" id="struct_execute_network_params_xhtml_acc7592cbdfe2e70cbc3794fb1e7eaeb9"><div class="ttname"><a href="struct_execute_network_params.xhtml#acc7592cbdfe2e70cbc3794fb1e7eaeb9">ExecuteNetworkParams::m_InputTypes</a></div><div class="ttdeci">std::vector< std::string > m_InputTypes</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00040">ExecuteNetworkParams.hpp:40</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="struct_execute_network_params_xhtml_a091cda9098c6f03f91f477a22327892d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a091cda9098c6f03f91f477a22327892d">ExecuteNetworkParams::m_InputTensorShapes</a></div><div class="ttdeci">std::vector< TensorShapePtr > m_InputTensorShapes</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00039">ExecuteNetworkParams.hpp:39</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a513151623e8d448951a0b94ad1946fbe"><div class="ttname"><a href="struct_execute_network_params.xhtml#a513151623e8d448951a0b94ad1946fbe">ExecuteNetworkParams::m_EnableFp16TurboMode</a></div><div class="ttdeci">bool m_EnableFp16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00031">ExecuteNetworkParams.hpp:31</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ae43cf4b5df0068ee6a9151c98947248b"><div class="ttname"><a href="struct_execute_network_params.xhtml#ae43cf4b5df0068ee6a9151c98947248b">ExecuteNetworkParams::m_DynamicBackendsPath</a></div><div class="ttdeci">std::string m_DynamicBackendsPath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00028">ExecuteNetworkParams.hpp:28</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="_inference_model_8hpp_xhtml"><div class="ttname"><a href="_inference_model_8hpp.xhtml">InferenceModel.hpp</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a982d4141ecde3eb220a136610d853df2"><div class="ttname"><a href="struct_execute_network_params.xhtml#a982d4141ecde3eb220a136610d853df2">ExecuteNetworkParams::m_OutputNames</a></div><div class="ttdeci">std::vector< std::string > m_OutputNames</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00047">ExecuteNetworkParams.hpp:47</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a74d346297c55b516908c541030adc88d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a74d346297c55b516908c541030adc88d">ExecuteNetworkParams::m_OutputTensorFiles</a></div><div class="ttdeci">std::vector< std::string > m_OutputTensorFiles</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00048">ExecuteNetworkParams.hpp:48</a></div></div>
<div class="ttc" id="_execute_network_params_8hpp_xhtml"><div class="ttname"><a href="_execute_network_params_8hpp.xhtml">ExecuteNetworkParams.hpp</a></div></div>
<div class="ttc" id="_execute_network_params_8cpp_xhtml_a1271e91c17f407e0f4912edffcd44942"><div class="ttname"><a href="_execute_network_params_8cpp.xhtml#a1271e91c17f407e0f4912edffcd44942">CheckClTuningParameter</a></div><div class="ttdeci">void CheckClTuningParameter(const int &tuningLevel, const std::string &tuningPath, const std::vector< armnn::BackendId > computeDevices)</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8cpp_source.xhtml#l00075">ExecuteNetworkParams.cpp:75</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a2d54e6252c1c9a0e29f7706ba03b2b74"><div class="ttname"><a href="struct_execute_network_params.xhtml#a2d54e6252c1c9a0e29f7706ba03b2b74">ExecuteNetworkParams::m_ComputeDevices</a></div><div class="ttdeci">std::vector< armnn::BackendId > m_ComputeDevices</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00025">ExecuteNetworkParams.hpp:25</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a810addfa426b5ac1476035dedee7cda5"><div class="ttname"><a href="struct_execute_network_params.xhtml#a810addfa426b5ac1476035dedee7cda5">ExecuteNetworkParams::m_OutputTypes</a></div><div class="ttdeci">std::vector< std::string > m_OutputTypes</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00049">ExecuteNetworkParams.hpp:49</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a6bf2f586c403977d31c7d32d371918cf"><div class="ttname"><a href="struct_execute_network_params.xhtml#a6bf2f586c403977d31c7d32d371918cf">ExecuteNetworkParams::m_IsModelBinary</a></div><div class="ttdeci">bool m_IsModelBinary</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00041">ExecuteNetworkParams.hpp:41</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_aaa966b4792eae29d659a78cd6faf1a68"><div class="ttname"><a href="struct_execute_network_params.xhtml#aaa966b4792eae29d659a78cd6faf1a68">ExecuteNetworkParams::m_TuningPath</a></div><div class="ttdeci">std::string m_TuningPath</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00058">ExecuteNetworkParams.hpp:58</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a6e4eff6a5f40cb026ea76d3c13c96341"><div class="ttname"><a href="struct_execute_network_params.xhtml#a6e4eff6a5f40cb026ea76d3c13c96341">ExecuteNetworkParams::m_Iterations</a></div><div class="ttdeci">size_t m_Iterations</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00042">ExecuteNetworkParams.hpp:42</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a99c7360a4d4b248b3f10607bc5d2fe7b"><div class="ttname"><a href="struct_execute_network_params.xhtml#a99c7360a4d4b248b3f10607bc5d2fe7b">ExecuteNetworkParams::m_GenerateTensorData</a></div><div class="ttdeci">bool m_GenerateTensorData</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00034">ExecuteNetworkParams.hpp:34</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a96a7042f9c83beec8e30088f3d85ed9c"><div class="ttname"><a href="struct_execute_network_params.xhtml#a96a7042f9c83beec8e30088f3d85ed9c">ExecuteNetworkParams::ValidateParams</a></div><div class="ttdeci">void ValidateParams()</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8cpp_source.xhtml#l00111">ExecuteNetworkParams.cpp:111</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a318999172ae5197f56326b12d29104b7"><div class="ttname"><a href="struct_execute_network_params.xhtml#a318999172ae5197f56326b12d29104b7">ExecuteNetworkParams::m_ThresholdTime</a></div><div class="ttdeci">double m_ThresholdTime</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00056">ExecuteNetworkParams.hpp:56</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_aaf3c7f286030842a31025309ab6a8329"><div class="ttname"><a href="struct_execute_network_params.xhtml#aaf3c7f286030842a31025309ab6a8329">ExecuteNetworkParams::m_InputNames</a></div><div class="ttdeci">std::vector< std::string > m_InputNames</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00037">ExecuteNetworkParams.hpp:37</a></div></div>
<div class="ttc" id="_execute_network_params_8cpp_xhtml_a4da63fa4fda7dbcd1f71f813fbd527eb"><div class="ttname"><a href="_execute_network_params_8cpp.xhtml#a4da63fa4fda7dbcd1f71f813fbd527eb">CheckModelFormat</a></div><div class="ttdeci">void CheckModelFormat(const std::string &modelFormat)</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8cpp_source.xhtml#l00033">ExecuteNetworkParams.cpp:33</a></div></div>
<div class="ttc" id="_network_execution_utils_8cpp_xhtml_aa8ad60308ed132ba939a09d48a97ac30"><div class="ttname"><a href="_network_execution_utils_8cpp.xhtml#aa8ad60308ed132ba939a09d48a97ac30">ValidatePaths</a></div><div class="ttdeci">bool ValidatePaths(const std::vector< std::string > &fileVec, const bool expectFile)</div><div class="ttdoc">Verifies if a given vector of strings are valid paths. </div><div class="ttdef"><b>Definition:</b> <a href="_network_execution_utils_8cpp_source.xhtml#l00294">NetworkExecutionUtils.cpp:294</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a0b99050baebe1d169392461b3a9be08d"><div class="ttname"><a href="struct_execute_network_params.xhtml#a0b99050baebe1d169392461b3a9be08d">ExecuteNetworkParams::m_EnableBf16TurboMode</a></div><div class="ttdeci">bool m_EnableBf16TurboMode</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00029">ExecuteNetworkParams.hpp:29</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ae3c3ae097395afea488cd3e0244269fa"><div class="ttname"><a href="struct_execute_network_params.xhtml#ae3c3ae097395afea488cd3e0244269fa">ExecuteNetworkParams::m_InputTensorDataFilePaths</a></div><div class="ttdeci">std::vector< std::string > m_InputTensorDataFilePaths</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00038">ExecuteNetworkParams.hpp:38</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="_execute_network_params_8cpp_xhtml_a59c1f5f5c5c9fc85c284e0518d32cfad"><div class="ttname"><a href="_execute_network_params_8cpp.xhtml#a59c1f5f5c5c9fc85c284e0518d32cfad">IsModelBinary</a></div><div class="ttdeci">bool IsModelBinary(const std::string &modelFormat)</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8cpp_source.xhtml#l00014">ExecuteNetworkParams.cpp:14</a></div></div>
<div class="ttc" id="_network_execution_utils_8cpp_xhtml_a6506f23e2f4153a68c87ea03ae423b12"><div class="ttname"><a href="_network_execution_utils_8cpp.xhtml#a6506f23e2f4153a68c87ea03ae423b12">ValidatePath</a></div><div class="ttdeci">bool ValidatePath(const std::string &file, const bool expectFile)</div><div class="ttdoc">Verifies if the given string is a valid path. </div><div class="ttdef"><b>Definition:</b> <a href="_network_execution_utils_8cpp_source.xhtml#l00279">NetworkExecutionUtils.cpp:279</a></div></div>
<div class="ttc" id="_network_execution_utils_8hpp_xhtml"><div class="ttname"><a href="_network_execution_utils_8hpp.xhtml">NetworkExecutionUtils.hpp</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_ad14d073dddd554025957ef73ac183649"><div class="ttname"><a href="struct_execute_network_params.xhtml#ad14d073dddd554025957ef73ac183649">ExecuteNetworkParams::m_TuningLevel</a></div><div class="ttdeci">int m_TuningLevel</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00057">ExecuteNetworkParams.hpp:57</a></div></div>
<div class="ttc" id="struct_execute_network_params_xhtml_a86800ee44cdb3d1bfd169ec4200212d2"><div class="ttname"><a href="struct_execute_network_params.xhtml#a86800ee44cdb3d1bfd169ec4200212d2">ExecuteNetworkParams::m_ModelFormat</a></div><div class="ttdeci">std::string m_ModelFormat</div><div class="ttdef"><b>Definition:</b> <a href="_execute_network_params_8hpp_source.xhtml#l00043">ExecuteNetworkParams.hpp:43</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_3502d64799b714c597b8fa7662494b65.xhtml">ExecuteNetwork</a></li><li class="navelem"><a class="el" href="_execute_network_params_8cpp.xhtml">ExecuteNetworkParams.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>
|
