Gitiles
Code Review Sign In
review.mlplatform.org / ml / armnn / f060b2e5ad65554cc8b567fb016bbaf57f6aca05 / . / Documentation / _tf_lite_mobile_net_quantized_softmax-_armnn_8cpp.xhtml
blob: 285ec5d8cedabe37f5bdf5506cd10a2664ad2cf0 [file] [log] [blame]
Ryan OSheade36e4a2020-03-13 16:26:19 +0000[diff] [blame]1<!-- Copyright (c) 2020 ARM Limited. -->
2<!-- -->
3<!-- SPDX-License-Identifier: MIT -->
4<!-- -->
5<!-- HTML header for doxygen 1.8.13-->
6<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
7<html xmlns="http://www.w3.org/1999/xhtml">
8<head>
9<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
10<meta http-equiv="X-UA-Compatible" content="IE=9"/>
11<meta name="generator" content="Doxygen 1.8.13"/>
12<meta name="robots" content="NOINDEX, NOFOLLOW" />
13<meta name="viewport" content="width=device-width, initial-scale=1"/>
14<title>ArmNN: tests/TfLiteMobileNetQuantizedSoftmax-Armnn/TfLiteMobileNetQuantizedSoftmax-Armnn.cpp File Reference</title>
15<link href="tabs.css" rel="stylesheet" type="text/css"/>
16<script type="text/javascript" src="jquery.js"></script>
17<script type="text/javascript" src="dynsections.js"></script>
18<link href="navtree.css" rel="stylesheet" type="text/css"/>
19<script type="text/javascript" src="resize.js"></script>
20<script type="text/javascript" src="navtreedata.js"></script>
21<script type="text/javascript" src="navtree.js"></script>
22<script type="text/javascript">
23 $(document).ready(initResizable);
24</script>
25<link href="search/search.css" rel="stylesheet" type="text/css"/>
26<script type="text/javascript" src="search/searchdata.js"></script>
27<script type="text/javascript" src="search/search.js"></script>
28<script type="text/x-mathjax-config">
29 MathJax.Hub.Config({
30 extensions: ["tex2jax.js"],
31 jax: ["input/TeX","output/HTML-CSS"],
32});
33</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
34<link href="doxygen.css" rel="stylesheet" type="text/css" />
35<link href="stylesheet.css" rel="stylesheet" type="text/css"/>
36</head>
37<body>
38<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
39<div id="titlearea">
40<table cellspacing="0" cellpadding="0">
41 <tbody>
42 <tr style="height: 56px;">
43 <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/>
44 <td style="padding-left: 0.5em;">
45 <div id="projectname">
46 &#160;<span id="projectnumber">20.02</span>
47 </div>
48 </td>
49 </tr>
50 </tbody>
51</table>
52</div>
53<!-- end header part -->
54<!-- Generated by Doxygen 1.8.13 -->
55<script type="text/javascript">
56var searchBox = new SearchBox("searchBox", "search",false,'Search');
57</script>
58<script type="text/javascript" src="menudata.js"></script>
59<script type="text/javascript" src="menu.js"></script>
60<script type="text/javascript">
61$(function() {
62 initMenu('',true,false,'search.php','Search');
63 $(document).ready(function() { init_search(); });
64});
65</script>
66<div id="main-nav"></div>
67</div><!-- top -->
68<div id="side-nav" class="ui-resizable side-nav-resizable">
69 <div id="nav-tree">
70 <div id="nav-tree-contents">
71 <div id="nav-sync" class="sync"></div>
72 </div>
73 </div>
74 <div id="splitbar" style="-moz-user-select:none;"
75 class="ui-resizable-handle">
76 </div>
77</div>
78<script type="text/javascript">
79$(document).ready(function(){initNavTree('_tf_lite_mobile_net_quantized_softmax-_armnn_8cpp.xhtml','');});
80</script>
81<div id="doc-content">
82<!-- window showing the filter options -->
83<div id="MSearchSelectWindow"
84 onmouseover="return searchBox.OnSearchSelectShow()"
85 onmouseout="return searchBox.OnSearchSelectHide()"
86 onkeydown="return searchBox.OnSearchSelectKey(event)">
87</div>
88
89<!-- iframe showing the search results (closed by default) -->
90<div id="MSearchResultsWindow">
91<iframe src="javascript:void(0)" frameborder="0"
92 name="MSearchResults" id="MSearchResults">
93</iframe>
94</div>
95
96<div class="header">
97 <div class="summary">
98<a href="#func-members">Functions</a> </div>
99 <div class="headertitle">
100<div class="title">TfLiteMobileNetQuantizedSoftmax-Armnn.cpp File Reference</div> </div>
101</div><!--header-->
102<div class="contents">
103<div class="textblock"><code>#include &quot;<a class="el" href="_inference_test_8hpp_source.xhtml">../InferenceTest.hpp</a>&quot;</code><br />
104<code>#include &quot;<a class="el" href="_image_preprocessor_8hpp_source.xhtml">../ImagePreprocessor.hpp</a>&quot;</code><br />
105<code>#include &quot;<a class="el" href="_i_tf_lite_parser_8hpp_source.xhtml">armnnTfLiteParser/ITfLiteParser.hpp</a>&quot;</code><br />
106</div>
107<p><a href="_tf_lite_mobile_net_quantized_softmax-_armnn_8cpp_source.xhtml">Go to the source code of this file.</a></p>
108<table class="memberdecls">
109<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
110Functions</h2></td></tr>
111<tr class="memitem:a0ddf1224851353fc92bfbff6f499fa97"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_mobile_net_quantized_softmax-_armnn_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">main</a> (int argc, char *argv[])</td></tr>
112<tr class="separator:a0ddf1224851353fc92bfbff6f499fa97"><td class="memSeparator" colspan="2">&#160;</td></tr>
113</table>
114<h2 class="groupheader">Function Documentation</h2>
115<a id="a0ddf1224851353fc92bfbff6f499fa97"></a>
116<h2 class="memtitle"><span class="permalink"><a href="#a0ddf1224851353fc92bfbff6f499fa97">&#9670;&nbsp;</a></span>main()</h2>
117
118<div class="memitem">
119<div class="memproto">
120 <table class="memname">
121 <tr>
122 <td class="memname">int main </td>
123 <td>(</td>
124 <td class="paramtype">int&#160;</td>
125 <td class="paramname"><em>argc</em>, </td>
126 </tr>
127 <tr>
128 <td class="paramkey"></td>
129 <td></td>
130 <td class="paramtype">char *&#160;</td>
131 <td class="paramname"><em>argv</em>[]&#160;</td>
132 </tr>
133 <tr>
134 <td></td>
135 <td>)</td>
136 <td></td><td></td>
137 </tr>
138 </table>
139</div><div class="memdoc">
140
141<p class="definition">Definition at line <a class="el" href="_tf_lite_mobile_net_quantized_softmax-_armnn_8cpp_source.xhtml#l00011">11</a> of file <a class="el" href="_tf_lite_mobile_net_quantized_softmax-_armnn_8cpp_source.xhtml">TfLiteMobileNetQuantizedSoftmax-Armnn.cpp</a>.</p>
142
143<p class="reference">References <a class="el" href="_inference_test_8inl_source.xhtml#l00352">armnn::test::ClassifierInferenceTestMain()</a>.</p>
144<div class="fragment"><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;{</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; <span class="keywordtype">int</span> retVal = EXIT_FAILURE;</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; <span class="keywordflow">try</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; {</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; <span class="comment">// Coverity fix: The following code may throw an exception of type std::length_error.</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; <span class="comment">// The model we are using incorrectly classifies the images</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; <span class="comment">// But can still be used for benchmarking the layers.</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; std::vector&lt;ImageSet&gt; imageSet =</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; {<span class="stringliteral">&quot;Dog.jpg&quot;</span>, 789},</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; {<span class="stringliteral">&quot;Cat.jpg&quot;</span>, 592},</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; {<span class="stringliteral">&quot;shark.jpg&quot;</span>, 755},</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; };</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputTensorShape({ 1, 128, 128, 3 });</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> = uint8_t;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keyword">using</span> DatabaseType = <a class="code" href="class_image_preprocessor.xhtml">ImagePreprocessor&lt;DataType&gt;</a>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">using</span> ParserType = <a class="code" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml">armnnTfLiteParser::ITfLiteParser</a>;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keyword">using</span> ModelType = <a class="code" href="class_inference_model.xhtml">InferenceModel&lt;ParserType, DataType&gt;</a>;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="comment">// Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; retVal = <a class="code" href="namespacearmnn_1_1test.xhtml#a47dfae02e22fcca1b6b784873b0328d9">armnn::test::ClassifierInferenceTestMain</a>&lt;DatabaseType,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; ParserType&gt;(</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; argc, argv,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="stringliteral">&quot;mobilenet_v1_0.25_128_quant.tflite&quot;</span>, <span class="comment">// model name</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keyword">true</span>, <span class="comment">// model is binary</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="stringliteral">&quot;input&quot;</span>, <span class="comment">// input tensor name</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="stringliteral">&quot;MobilenetV1/Predictions/Reshape_1&quot;</span>, <span class="comment">// output tensor name</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; { 0, 1, 2 }, <span class="comment">// test images to test with as above</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; [&amp;imageSet](<span class="keyword">const</span> <span class="keywordtype">char</span>* dataDir, <span class="keyword">const</span> ModelType &amp;) {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="comment">// we need to get the input quantization parameters from</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="comment">// the parsed model</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordflow">return</span> DatabaseType(</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; dataDir,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; 128,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; 128,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; imageSet,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; 1,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; {{0, 0, 0}},</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; {{1, 1, 1}},</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; DatabaseType::DataFormat::NCHW,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; 1);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; },</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; &amp;inputTensorShape);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception&amp; e)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="comment">// Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="comment">// exception of type std::length_error.</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="comment">// Using stderr instead in this context as there is no point in nesting try-catch blocks here.</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; std::cerr &lt;&lt; <span class="stringliteral">&quot;WARNING: &quot;</span> &lt;&lt; *argv &lt;&lt; <span class="stringliteral">&quot;: An error has occurred when running &quot;</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="stringliteral">&quot;the classifier inference tests: &quot;</span> &lt;&lt; e.what() &lt;&lt; std::endl;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">return</span> retVal;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;}</div><div class="ttc" id="class_inference_model_xhtml"><div class="ttname"><a href="class_inference_model.xhtml">InferenceModel</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.xhtml#l00316">InferenceModel.hpp:316</a></div></div>
145<div class="ttc" id="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser_xhtml"><div class="ttname"><a href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml">armnnTfLiteParser::ITfLiteParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.xhtml#l00025">ITfLiteParser.hpp:25</a></div></div>
146<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
147<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
148<div class="ttc" id="namespacearmnn_1_1test_xhtml_a47dfae02e22fcca1b6b784873b0328d9"><div class="ttname"><a href="namespacearmnn_1_1test.xhtml#a47dfae02e22fcca1b6b784873b0328d9">armnn::test::ClassifierInferenceTestMain</a></div><div class="ttdeci">int ClassifierInferenceTestMain(int argc, char *argv[], const char *modelFilename, bool isModelBinary, const char *inputBindingName, const char *outputBindingName, const std::vector&lt; unsigned int &gt; &amp;defaultTestCaseIds, TConstructDatabaseCallable constructDatabase, const armnn::TensorShape *inputTensorShape=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_8inl_source.xhtml#l00352">InferenceTest.inl:352</a></div></div>
149<div class="ttc" id="class_image_preprocessor_xhtml"><div class="ttname"><a href="class_image_preprocessor.xhtml">ImagePreprocessor</a></div><div class="ttdef"><b>Definition:</b> <a href="_image_preprocessor_8hpp_source.xhtml#l00020">ImagePreprocessor.hpp:20</a></div></div>
150</div><!-- fragment -->
151</div>
152</div>
153</div><!-- contents -->
154</div><!-- doc-content -->
155<!-- start footer part -->
156<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
157 <ul>
158 <li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_5b37c868d8ac40f3f76299adcfed0b6d.xhtml">TfLiteMobileNetQuantizedSoftmax-Armnn</a></li><li class="navelem"><a class="el" href="_tf_lite_mobile_net_quantized_softmax-_armnn_8cpp.xhtml">TfLiteMobileNetQuantizedSoftmax-Armnn.cpp</a></li>
159 <li class="footer">Generated on Fri Mar 13 2020 16:09:16 for ArmNN by
160 <a href="http://www.doxygen.org/index.html">
161 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
162 </ul>
163</div>
164</body>
165</html>