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+<a href="_tf_cifar10-_armnn_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="preprocessor">#include &quot;../InferenceTest.hpp&quot;</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;../Cifar10Database.hpp&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_tf_parser_8hpp.html">armnnTfParser/ITfParser.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno"><a class="line" href="_tf_cifar10-_armnn_8cpp.html#a0ddf1224851353fc92bfbff6f499fa97">    9</a></span>&#160;<span class="keywordtype">int</span> <a class="code" href="_tf_cifar10-_armnn_8cpp.html#a0ddf1224851353fc92bfbff6f499fa97">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>* argv[])</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;{</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputTensorShape({ 1, 32, 32, 3 });</div><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="keyword">using</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> = float;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;        <span class="keyword">using</span> DatabaseType = <a class="code" href="class_cifar10_database.html">Cifar10Database</a>;</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;        <span class="keyword">using</span> ParserType = <a class="code" href="classarmnn_tf_parser_1_1_i_tf_parser.html">armnnTfParser::ITfParser</a>;</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;        <span class="keyword">using</span> ModelType = <a class="code" href="class_inference_model.html">InferenceModel&lt;ParserType, DataType&gt;</a>;</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="comment">// Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;        retVal = armnn::test::ClassifierInferenceTestMain&lt;DatabaseType, ParserType&gt;(</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;                     argc, argv, <span class="stringliteral">&quot;cifar10_tf.prototxt&quot;</span>, <span class="keyword">false</span>,</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;                     <span class="stringliteral">&quot;data&quot;</span>, <span class="stringliteral">&quot;prob&quot;</span>, { 0, 1, 2, 4, 7 },</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;                     [](<span class="keyword">const</span> <span class="keywordtype">char</span>* dataDir, <span class="keyword">const</span> ModelType&amp;) {</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;                         <span class="keywordflow">return</span> DatabaseType(dataDir, <span class="keyword">true</span>);</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;                     }, &amp;inputTensorShape);</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    }</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception&amp; e)</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    {</div><div class="line"><a name="l00031"></a><span class="lineno">   31</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="l00032"></a><span class="lineno">   32</span>&#160;        <span class="comment">// exception of type std::length_error.</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</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="l00034"></a><span class="lineno">   34</span>&#160;        std::cerr &lt;&lt; <span class="stringliteral">&quot;WARNING: TfCifar10-Armnn: An error has occurred when running &quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</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="l00036"></a><span class="lineno">   36</span>&#160;    }</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keywordflow">return</span> retVal;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;}</div><div class="ttc" id="class_inference_model_html"><div class="ttname"><a href="class_inference_model.html">InferenceModel</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_model_8hpp_source.html#l00316">InferenceModel.hpp:316</a></div></div>
+<div class="ttc" id="_tf_cifar10-_armnn_8cpp_html_a0ddf1224851353fc92bfbff6f499fa97"><div class="ttname"><a href="_tf_cifar10-_armnn_8cpp.html#a0ddf1224851353fc92bfbff6f499fa97">main</a></div><div class="ttdeci">int main(int argc, char *argv[])</div><div class="ttdef"><b>Definition:</b> <a href="_tf_cifar10-_armnn_8cpp_source.html#l00009">TfCifar10-Armnn.cpp:9</a></div></div>
+<div class="ttc" id="class_cifar10_database_html"><div class="ttname"><a href="class_cifar10_database.html">Cifar10Database</a></div><div class="ttdef"><b>Definition:</b> <a href="_cifar10_database_8hpp_source.html#l00012">Cifar10Database.hpp:12</a></div></div>
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+<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="classarmnn_tf_parser_1_1_i_tf_parser_html"><div class="ttname"><a href="classarmnn_tf_parser_1_1_i_tf_parser.html">armnnTfParser::ITfParser</a></div><div class="ttdoc">Parses a directed acyclic graph from a tensorflow protobuf file. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_parser_8hpp_source.html#l00025">ITfParser.hpp:25</a></div></div>
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