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
|
<!-- Copyright (c) 2020 ARM Limited. -->
<!-- -->
<!-- SPDX-License-Identifier: MIT -->
<!-- -->
<!-- HTML header for doxygen 1.8.13-->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.13"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>ArmNN: src/armnnTfLiteParser/test/LoadModel.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">21.02</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.13 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
$(function() {
initMenu('',true,false,'search.php','Search');
$(document).ready(function() { init_search(); });
});
</script>
<div id="main-nav"></div>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
<div id="nav-tree">
<div id="nav-tree-contents">
<div id="nav-sync" class="sync"></div>
</div>
</div>
<div id="splitbar" style="-moz-user-select:none;"
class="ui-resizable-handle">
</div>
</div>
<script type="text/javascript">
$(document).ready(function(){initNavTree('_load_model_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">LoadModel.cpp</div> </div>
</div><!--header-->
<div class="contents">
<a href="_load_model_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 © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_parser_flatbuffers_fixture_8hpp.xhtml">ParserFlatbuffersFixture.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "../TfLiteParser.hpp"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_filesystem_8hpp.xhtml">Filesystem.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="keyword">using</span> <a class="code" href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.xhtml">armnnTfLiteParser::TfLiteParserImpl</a>;</div><div class="line"><a name="l00012"></a><span class="lineno"><a class="line" href="_load_model_8cpp.xhtml#aca1e2084b9f73717cb3b841032e9eb45"> 12</a></span> <span class="keyword">using</span> <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a> = <a class="code" href="_load_model_8cpp.xhtml#aca1e2084b9f73717cb3b841032e9eb45">TfLiteParserImpl::ModelPtr</a>;</div><div class="line"><a name="l00013"></a><span class="lineno"><a class="line" href="_load_model_8cpp.xhtml#a037eb215cd80fff200b7aaa75dbf05de"> 13</a></span> <span class="keyword">using</span> <a class="code" href="_load_model_8cpp.xhtml#a037eb215cd80fff200b7aaa75dbf05de">SubgraphPtr</a> = <a class="code" href="_load_model_8cpp.xhtml#a037eb215cd80fff200b7aaa75dbf05de">TfLiteParserImpl::SubgraphPtr</a>;</div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="_load_model_8cpp.xhtml#a7fb19a2ee7e719641dfaa9fbac9f11d6"> 14</a></span> <span class="keyword">using</span> <a class="code" href="_load_model_8cpp.xhtml#a7fb19a2ee7e719641dfaa9fbac9f11d6">OperatorPtr</a> = <a class="code" href="_load_model_8cpp.xhtml#a7fb19a2ee7e719641dfaa9fbac9f11d6">TfLiteParserImpl::OperatorPtr</a>;</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> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorflowLiteParser)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">struct </span>LoadModelFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">explicit</span> LoadModelFixture()</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  m_JsonString = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="stringliteral"> "version": 3,</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="stringliteral"> "operator_codes": [ { "builtin_code": "AVERAGE_POOL_2D" }, { "builtin_code": "CONV_2D" } ],</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="stringliteral"> "subgraphs": [</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="stringliteral"> "tensors": [</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> "shape": [ 1, 1, 1, 1 ] ,</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> "buffer": 0,</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> "name": "OutputTensor",</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> "zero_point": [ 0 ]</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral"> "shape": [ 1, 2, 2, 1 ] ,</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> "name": "InputTensor",</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> "zero_point": [ 0 ]</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> "inputs": [ 1 ],</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="stringliteral"> "outputs": [ 0 ],</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="stringliteral"> "operators": [ {</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> "opcode_index": 0,</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="stringliteral"> "inputs": [ 1 ],</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="stringliteral"> "outputs": [ 0 ],</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="stringliteral"> "builtin_options_type": "Pool2DOptions",</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> "builtin_options":</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="stringliteral"> "padding": "VALID",</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="stringliteral"> "stride_w": 2,</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> "stride_h": 2,</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral"> "filter_width": 2,</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="stringliteral"> "filter_height": 2,</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="stringliteral"> "fused_activation_function": "NONE"</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="stringliteral"> } ]</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="stringliteral"> "tensors": [</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="stringliteral"> "shape": [ 1, 3, 3, 1 ],</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="stringliteral"> "buffer": 0,</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="stringliteral"> "name": "ConvInputTensor",</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="stringliteral"> "shape": [ 1, 1, 1, 1 ],</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="stringliteral"> "name": "ConvOutputTensor",</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="stringliteral"> "max": [ 511.0 ],</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="stringliteral"> "scale": [ 2.0 ],</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="stringliteral"> "shape": [ 1, 3, 3, 1 ],</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="stringliteral"> "buffer": 2,</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="stringliteral"> "name": "filterTensor",</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="stringliteral"> "inputs": [ 0 ],</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="stringliteral"> "outputs": [ 1 ],</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="stringliteral"> "operators": [</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="stringliteral"> "opcode_index": 1,</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="stringliteral"> "inputs": [ 0, 2 ],</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="stringliteral"> "outputs": [ 1 ],</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="stringliteral"> "builtin_options_type": "Conv2DOptions",</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="stringliteral"> "builtin_options": {</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="stringliteral"> "padding": "VALID",</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="stringliteral"> "stride_w": 1,</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="stringliteral"> "stride_h": 1,</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="stringliteral"> "fused_activation_function": "NONE"</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="stringliteral"> "description": "Test loading a model",</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="stringliteral"> "buffers" : [ {}, {} ]</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="stringliteral"> })";</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="stringliteral"></span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a69fc8e7f42386fa67732cb8c98d8b024">ReadStringToBinary</a>();</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="stringliteral"></span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="stringliteral"> </span><span class="keywordtype">void</span> CheckModel(<span class="keyword">const</span> <a class="code" href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a>& model, uint32_t version, <span class="keywordtype">size_t</span> opcodeSize,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">const</span> std::vector<tflite::BuiltinOperator>& opcodes,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordtype">size_t</span> subgraphs, <span class="keyword">const</span> std::string desc, <span class="keywordtype">size_t</span> buffers)</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>  BOOST_CHECK(model);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  BOOST_CHECK_EQUAL(version, model->version);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  BOOST_CHECK_EQUAL(opcodeSize, model->operator_codes.size());</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  CheckBuiltinOperators(opcodes, model->operator_codes);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  BOOST_CHECK_EQUAL(subgraphs, model->subgraphs.size());</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  BOOST_CHECK_EQUAL(desc, model->description);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  BOOST_CHECK_EQUAL(buffers, model->buffers.size());</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> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">void</span> CheckBuiltinOperators(<span class="keyword">const</span> std::vector<tflite::BuiltinOperator>& expectedOperators,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">const</span> std::vector<std::unique_ptr<tflite::OperatorCodeT>>& result)</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  BOOST_CHECK_EQUAL(expectedOperators.size(), result.size());</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < expectedOperators.size(); i++)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  BOOST_CHECK_EQUAL(expectedOperators[i], result[i]->builtin_code);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  }</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">void</span> CheckSubgraph(<span class="keyword">const</span> <a class="code" href="_load_model_8cpp.xhtml#a037eb215cd80fff200b7aaa75dbf05de">SubgraphPtr</a>& subgraph, <span class="keywordtype">size_t</span> tensors, <span class="keyword">const</span> std::vector<int32_t>& inputs,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> std::vector<int32_t>& outputs, <span class="keywordtype">size_t</span> operators, <span class="keyword">const</span> std::string& name)</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>  BOOST_CHECK(subgraph);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  BOOST_CHECK_EQUAL(tensors, subgraph->tensors.size());</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  BOOST_CHECK_EQUAL_COLLECTIONS(inputs.begin(), inputs.end(), subgraph->inputs.begin(), subgraph->inputs.end());</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  BOOST_CHECK_EQUAL_COLLECTIONS(outputs.begin(), outputs.end(),</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  subgraph->outputs.begin(), subgraph->outputs.end());</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  BOOST_CHECK_EQUAL(operators, subgraph->operators.size());</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  BOOST_CHECK_EQUAL(name, subgraph->name);</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="keywordtype">void</span> CheckOperator(<span class="keyword">const</span> <a class="code" href="_load_model_8cpp.xhtml#a7fb19a2ee7e719641dfaa9fbac9f11d6">OperatorPtr</a>& operatorPtr, uint32_t opcode, <span class="keyword">const</span> std::vector<int32_t>& inputs,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">const</span> std::vector<int32_t>& outputs, tflite::BuiltinOptions optionType,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  tflite::CustomOptionsFormat custom_options_format)</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  BOOST_CHECK(operatorPtr);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  BOOST_CHECK_EQUAL(opcode, operatorPtr->opcode_index);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  BOOST_CHECK_EQUAL_COLLECTIONS(inputs.begin(), inputs.end(),</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  operatorPtr->inputs.begin(), operatorPtr->inputs.end());</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  BOOST_CHECK_EQUAL_COLLECTIONS(outputs.begin(), outputs.end(),</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  operatorPtr->outputs.begin(), operatorPtr->outputs.end());</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  BOOST_CHECK_EQUAL(optionType, operatorPtr->builtin_options.type);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  BOOST_CHECK_EQUAL(custom_options_format, operatorPtr->custom_options_format);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  }</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> };</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="_load_model_8cpp.xhtml#a95a7c926cb96a1c57de39a72a8209c94"> 186</a></span> <a class="code" href="_load_model_8cpp.xhtml#a95a7c926cb96a1c57de39a72a8209c94">BOOST_FIXTURE_TEST_CASE</a>(LoadModelFromBinary, LoadModelFixture)</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="_load_model_8cpp.xhtml#aca1e2084b9f73717cb3b841032e9eb45">TfLiteParserImpl::ModelPtr</a> model = TfLiteParserImpl::LoadModelFromBinary(m_GraphBinary.data(),</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  m_GraphBinary.size());</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  CheckModel(model, 3, 2, { tflite::BuiltinOperator_AVERAGE_POOL_2D, tflite::BuiltinOperator_CONV_2D },</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  2, <span class="stringliteral">"Test loading a model"</span>, 2);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  CheckSubgraph(model->subgraphs[0], 2, { 1 }, { 0 }, 1, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  CheckSubgraph(model->subgraphs[1], 3, { 0 }, { 1 }, 1, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  CheckOperator(model->subgraphs[0]->operators[0], 0, { 1 }, { 0 }, tflite::BuiltinOptions_Pool2DOptions,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  tflite::CustomOptionsFormat_FLEXBUFFERS);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  CheckOperator(model->subgraphs[1]->operators[0], 1, { 0, 2 }, { 1 }, tflite::BuiltinOptions_Conv2DOptions,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  tflite::CustomOptionsFormat_FLEXBUFFERS);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="_load_model_8cpp.xhtml#a757da23bc4ad3305fe973413be85015f"> 200</a></span> <a class="code" href="_load_model_8cpp.xhtml#a95a7c926cb96a1c57de39a72a8209c94">BOOST_FIXTURE_TEST_CASE</a>(LoadModelFromFile, LoadModelFixture)</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">using namespace </span>fs;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  fs::path fname = <a class="code" href="namespacearmnn_utils_1_1_filesystem.xhtml#a606d65835d72a332109c3c9f96a01b8a">armnnUtils::Filesystem::NamedTempFile</a>(<span class="stringliteral">"Armnn-tfLite-LoadModelFromFile-TempFile.csv"</span>);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordtype">bool</span> saved = flatbuffers::SaveFile(fname.c_str(),</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">reinterpret_cast<</span><span class="keywordtype">char</span> *<span class="keyword">></span>(m_GraphBinary.data()),</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  m_GraphBinary.size(), <span class="keyword">true</span>);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  BOOST_CHECK_MESSAGE(saved, <span class="stringliteral">"Cannot save test file"</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>  <a class="code" href="_load_model_8cpp.xhtml#aca1e2084b9f73717cb3b841032e9eb45">TfLiteParserImpl::ModelPtr</a> model = TfLiteParserImpl::LoadModelFromFile(fname.c_str());</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  CheckModel(model, 3, 2, { tflite::BuiltinOperator_AVERAGE_POOL_2D, tflite::BuiltinOperator_CONV_2D },</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  2, <span class="stringliteral">"Test loading a model"</span>, 2);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  CheckSubgraph(model->subgraphs[0], 2, { 1 }, { 0 }, 1, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  CheckSubgraph(model->subgraphs[1], 3, { 0 }, { 1 }, 1, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  CheckOperator(model->subgraphs[0]->operators[0], 0, { 1 }, { 0 }, tflite::BuiltinOptions_Pool2DOptions,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  tflite::CustomOptionsFormat_FLEXBUFFERS);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  CheckOperator(model->subgraphs[1]->operators[0], 1, { 0, 2 }, { 1 }, tflite::BuiltinOptions_Conv2DOptions,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  tflite::CustomOptionsFormat_FLEXBUFFERS);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">remove</span>(fname);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> }</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="_load_model_8cpp.xhtml#a78183790dc7c28aa493485715480bc39"> 221</a></span> <a class="code" href="_load_model_8cpp.xhtml#a78183790dc7c28aa493485715480bc39">BOOST_AUTO_TEST_CASE</a>(LoadNullBinary)</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>  BOOST_CHECK_THROW(TfLiteParserImpl::LoadModelFromBinary(<span class="keyword">nullptr</span>, 0), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>);</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> </div><div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="_load_model_8cpp.xhtml#a3496184393204134fcf4cdeeedc21cf6"> 226</a></span> <a class="code" href="_load_model_8cpp.xhtml#a78183790dc7c28aa493485715480bc39">BOOST_AUTO_TEST_CASE</a>(LoadInvalidBinary)</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  std::string testData = <span class="stringliteral">"invalid data"</span>;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  BOOST_CHECK_THROW(TfLiteParserImpl::LoadModelFromBinary(reinterpret_cast<const uint8_t*>(&testData),</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  testData.length()), <a class="code" href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a>);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> }</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"><a class="line" href="_load_model_8cpp.xhtml#a8afd4e4f33c8c5ea6ed0fcc2c8db1620"> 233</a></span> <a class="code" href="_load_model_8cpp.xhtml#a78183790dc7c28aa493485715480bc39">BOOST_AUTO_TEST_CASE</a>(LoadFileNotFound)</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>  BOOST_CHECK_THROW(TfLiteParserImpl::LoadModelFromFile(<span class="stringliteral">"invalidfile.tflite"</span>), <a class="code" href="classarmnn_1_1_file_not_found_exception.xhtml">armnn::FileNotFoundException</a>);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> }</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div><div class="line"><a name="l00238"></a><span class="lineno"><a class="line" href="_load_model_8cpp.xhtml#aecebec3130e12fbe592fac5113b01c6f"> 238</a></span> <a class="code" href="_load_model_8cpp.xhtml#a78183790dc7c28aa493485715480bc39">BOOST_AUTO_TEST_CASE</a>(LoadNullPtrFile)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  BOOST_CHECK_THROW(TfLiteParserImpl::LoadModelFromFile(<span class="keyword">nullptr</span>), <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <a class="code" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="_output_shape_of_squeeze_8cpp_xhtml_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
<div class="ttc" id="_load_model_8cpp_xhtml_a7fb19a2ee7e719641dfaa9fbac9f11d6"><div class="ttname"><a href="_load_model_8cpp.xhtml#a7fb19a2ee7e719641dfaa9fbac9f11d6">OperatorPtr</a></div><div class="ttdeci">TfLiteParserImpl::OperatorPtr OperatorPtr</div><div class="ttdef"><b>Definition:</b> <a href="_load_model_8cpp_source.xhtml#l00014">LoadModel.cpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_file_not_found_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_file_not_found_exception.xhtml">armnn::FileNotFoundException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00086">Exceptions.hpp:86</a></div></div>
<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml_a69fc8e7f42386fa67732cb8c98d8b024"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml#a69fc8e7f42386fa67732cb8c98d8b024">ParserFlatbuffersFixture::ReadStringToBinary</a></div><div class="ttdeci">bool ReadStringToBinary()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00101">ParserFlatbuffersFixture.hpp:101</a></div></div>
<div class="ttc" id="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_xhtml_a503ae4f55dae1486e53978657083b35d"><div class="ttname"><a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp.xhtml#a503ae4f55dae1486e53978657083b35d">ModelPtr</a></div><div class="ttdeci">std::unique_ptr< onnx::ModelProto > ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="armnn_onnx_parser_2test_2_get_inputs_outputs_8cpp_source.xhtml#l00012">GetInputsOutputs.cpp:12</a></div></div>
<div class="ttc" id="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl_xhtml"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_tf_lite_parser_impl.xhtml">armnnTfLiteParser::TfLiteParserImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_parser_8hpp_source.xhtml#l00019">TfLiteParser.hpp:19</a></div></div>
<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00036">ParserFlatbuffersFixture.hpp:36</a></div></div>
<div class="ttc" id="_filesystem_8hpp_xhtml"><div class="ttname"><a href="_filesystem_8hpp.xhtml">Filesystem.hpp</a></div></div>
<div class="ttc" id="_load_model_8cpp_xhtml_a037eb215cd80fff200b7aaa75dbf05de"><div class="ttname"><a href="_load_model_8cpp.xhtml#a037eb215cd80fff200b7aaa75dbf05de">SubgraphPtr</a></div><div class="ttdeci">TfLiteParserImpl::SubgraphPtr SubgraphPtr</div><div class="ttdef"><b>Definition:</b> <a href="_load_model_8cpp_source.xhtml#l00013">LoadModel.cpp:13</a></div></div>
<div class="ttc" id="_load_model_8cpp_xhtml_a78183790dc7c28aa493485715480bc39"><div class="ttname"><a href="_load_model_8cpp.xhtml#a78183790dc7c28aa493485715480bc39">BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(LoadNullBinary)</div><div class="ttdef"><b>Definition:</b> <a href="_load_model_8cpp_source.xhtml#l00221">LoadModel.cpp:221</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="_parser_flatbuffers_fixture_8hpp_xhtml"><div class="ttname"><a href="_parser_flatbuffers_fixture_8hpp.xhtml">ParserFlatbuffersFixture.hpp</a></div></div>
<div class="ttc" id="_profiler_tests_8cpp_xhtml_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
<div class="ttc" id="classarmnn_1_1_parse_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00092">Exceptions.hpp:92</a></div></div>
<div class="ttc" id="namespacearmnn_utils_1_1_filesystem_xhtml_a606d65835d72a332109c3c9f96a01b8a"><div class="ttname"><a href="namespacearmnn_utils_1_1_filesystem.xhtml#a606d65835d72a332109c3c9f96a01b8a">armnnUtils::Filesystem::NamedTempFile</a></div><div class="ttdeci">fs::path NamedTempFile(const char *fileName)</div><div class="ttdoc">Construct a temporary file name. </div><div class="ttdef"><b>Definition:</b> <a href="_filesystem_8cpp_source.xhtml#l00023">Filesystem.cpp:23</a></div></div>
<div class="ttc" id="_load_model_8cpp_xhtml_a95a7c926cb96a1c57de39a72a8209c94"><div class="ttname"><a href="_load_model_8cpp.xhtml#a95a7c926cb96a1c57de39a72a8209c94">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(LoadModelFromBinary, LoadModelFixture)</div><div class="ttdef"><b>Definition:</b> <a href="_load_model_8cpp_source.xhtml#l00186">LoadModel.cpp:186</a></div></div>
<div class="ttc" id="_load_model_8cpp_xhtml_aca1e2084b9f73717cb3b841032e9eb45"><div class="ttname"><a href="_load_model_8cpp.xhtml#aca1e2084b9f73717cb3b841032e9eb45">ModelPtr</a></div><div class="ttdeci">TfLiteParserImpl::ModelPtr ModelPtr</div><div class="ttdef"><b>Definition:</b> <a href="_load_model_8cpp_source.xhtml#l00012">LoadModel.cpp:12</a></div></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_510324e450b9df55f9aac2d01fae83d8.xhtml">armnnTfLiteParser</a></li><li class="navelem"><a class="el" href="dir_6d8d07609c57029a35488d2120e28fbd.xhtml">test</a></li><li class="navelem"><a class="el" href="_load_model_8cpp.xhtml">LoadModel.cpp</a></li>
<li class="footer">Generated on Fri Mar 19 2021 15:26:00 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>
|
