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| <a href="_tf_inception_v3-_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> <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 "../InferenceTest.hpp"</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "../ImagePreprocessor.hpp"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_i_tf_parser_8hpp.html">armnnTfParser/ITfParser.hpp</a>"</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"><a class="line" href="_tf_inception_v3-_armnn_8cpp.html#a0ddf1224851353fc92bfbff6f499fa97"> 9</a></span> <span class="keywordtype">int</span> <a class="code" href="_tf_inception_v3-_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> {</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  <span class="keywordtype">int</span> retVal = EXIT_FAILURE;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  <span class="keywordflow">try</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  {</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <span class="comment">// Coverity fix: The following code may throw an exception of type std::length_error.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  std::vector<ImageSet> imageSet =</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  { <span class="stringliteral">"Dog.jpg"</span>, 208 },</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="comment">// Top five predictions in tensorflow:</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="comment">// -----------------------------------</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="comment">// 208:golden retriever 0.57466376</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="comment">// 209:Labrador retriever 0.30202731</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="comment">// 853:tennis ball 0.0060001756</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="comment">// 223:kuvasz 0.0053707925</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="comment">// 160:Rhodesian ridgeback 0.0018179063</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  { <span class="stringliteral">"Cat.jpg"</span>, 283 },</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="comment">// Top five predictions in tensorflow:</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="comment">// -----------------------------------</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="comment">// 283:tiger cat 0.4667799</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="comment">// 282:tabby, tabby cat 0.32511184</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="comment">// 286:Egyptian cat 0.1038616</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="comment">// 288:lynx, catamount 0.0017019814</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="comment">// 284:Persian cat 0.0011340436</span></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="stringliteral">"shark.jpg"</span>, 3 },</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="comment">// Top five predictions in tensorflow:</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="comment">// -----------------------------------</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="comment">// 3:great white shark, white shark, ... 0.98808634</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// 148:grey whale, gray whale, ... 0.00070245547</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="comment">// 234:Bouvier des Flandres, ... 0.00024639888</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// 149:killer whale, killer, ... 0.00014115588</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="comment">// 95:hummingbird 0.00011129203</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> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputTensorShape({ 1, 299, 299, 3 });</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">using</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> = float;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">using</span> DatabaseType = <a class="code" href="class_image_preprocessor.html">ImagePreprocessor<float></a>;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <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="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">using</span> ModelType = <a class="code" href="class_inference_model.html">InferenceModel<ParserType, DataType></a>;</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="comment">// Coverity fix: InferenceTestMain() may throw uncaught exceptions.</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  argc, argv, <span class="stringliteral">"inception_v3_2016_08_28_frozen.pb"</span>, <span class="keyword">true</span>,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="stringliteral">"input"</span>, <span class="stringliteral">"InceptionV3/Predictions/Reshape_1"</span>, { 0, 1, 2, },</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  [&imageSet](<span class="keyword">const</span> <span class="keywordtype">char</span>* dataDir, <span class="keyword">const</span> ModelType&) {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">return</span> DatabaseType(dataDir, 299, 299, imageSet);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  },</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  &inputTensorShape);</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="keywordflow">catch</span> (<span class="keyword">const</span> std::exception& e)</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">// exception of type std::length_error.</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <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="l00066"></a><span class="lineno"> 66</span>  std::cerr << <span class="stringliteral">"WARNING: TfInceptionV3-Armnn: An error has occurred when running "</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="stringliteral">"the classifier inference tests: "</span> << e.what() << std::endl;</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">return</span> retVal;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> }</div><div class="ttc" id="_tf_inception_v3-_armnn_8cpp_html_a0ddf1224851353fc92bfbff6f499fa97"><div class="ttname"><a href="_tf_inception_v3-_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_inception_v3-_armnn_8cpp_source.html#l00009">TfInceptionV3-Armnn.cpp:9</a></div></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="class_image_preprocessor_html"><div class="ttname"><a href="class_image_preprocessor.html">ImagePreprocessor</a></div><div class="ttdef"><b>Definition:</b> <a href="_image_preprocessor_8hpp_source.html#l00020">ImagePreprocessor.hpp:20</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div> |
| <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> |
| <div class="ttc" id="_i_tf_parser_8hpp_html"><div class="ttname"><a href="_i_tf_parser_8hpp.html">ITfParser.hpp</a></div></div> |
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