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| <div class="textblock"><code>#include "<a class="el" href="_inference_test_8hpp_source.html">../InferenceTest.hpp</a>"</code><br /> |
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| <tr class="memitem:a0ddf1224851353fc92bfbff6f499fa97"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="_tf_lite_v_g_g16_quantized-_armnn_8cpp.html#a0ddf1224851353fc92bfbff6f499fa97">main</a> (int argc, char *argv[])</td></tr> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a0ddf1224851353fc92bfbff6f499fa97">◆ </a></span>main()</h2> |
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| <p class="definition">Definition at line <a class="el" href="_tf_lite_v_g_g16_quantized-_armnn_8cpp_source.html#l00011">11</a> of file <a class="el" href="_tf_lite_v_g_g16_quantized-_armnn_8cpp_source.html">TfLiteVGG16Quantized-Armnn.cpp</a>.</p> |
| |
| <p class="reference">References <a class="el" href="_inference_test_8inl_source.html#l00352">armnn::test::ClassifierInferenceTestMain()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> {</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  <span class="keywordtype">int</span> retVal = EXIT_FAILURE;</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <span class="keywordflow">try</span></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">// 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>  std::vector<ImageSet> imageSet =</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="comment">// The model we are using incorrectly classifies the images</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="comment">// But can still be used for benchmarking the layers.</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  {<span class="stringliteral">"Dog.jpg"</span>, 178},</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  {<span class="stringliteral">"Cat.jpg"</span>, 39},</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  {<span class="stringliteral">"shark.jpg"</span>, 598},</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> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputTensorShape({ 1, 224, 224, 3 });</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">using</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> = uint8_t;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">using</span> DatabaseType = <a class="code" href="class_image_preprocessor.html">ImagePreprocessor<DataType></a>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">using</span> ParserType = <a class="code" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.html">armnnTfLiteParser::ITfLiteParser</a>;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</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="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="comment">// Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  retVal = <a class="code" href="namespacearmnn_1_1test.html#a47dfae02e22fcca1b6b784873b0328d9">armnn::test::ClassifierInferenceTestMain</a><DatabaseType,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  ParserType>(</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  argc, argv,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="stringliteral">"vgg_16_int8.tflite"</span>, <span class="comment">// model name</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <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>  <span class="stringliteral">"input"</span>, <span class="comment">// input tensor name</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="stringliteral">"vgg_16/fc8/squeezed"</span>, <span class="comment">// output tensor name</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  { 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>  [&imageSet](<span class="keyword">const</span> <span class="keywordtype">char</span>* dataDir, <span class="keyword">const</span> ModelType &) {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <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>  <span class="comment">// the parsed model</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> DatabaseType(</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  dataDir,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  224,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  224,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  imageSet,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  1,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  {{0, 0, 0}},</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  {{1, 1, 1}},</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  DatabaseType::DataFormat::NCHW,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  1);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  },</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  &inputTensorShape);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception& e)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <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>  <span class="comment">// exception of type std::length_error.</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</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="l00063"></a><span class="lineno"> 63</span>  std::cerr << <span class="stringliteral">"WARNING: "</span> << *argv << <span class="stringliteral">": An error has occurred when running "</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="stringliteral">"the classifier inference tests: "</span> << e.what() << std::endl;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> retVal;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> }</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="namespacearmnn_1_1test_html_a47dfae02e22fcca1b6b784873b0328d9"><div class="ttname"><a href="namespacearmnn_1_1test.html#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< unsigned int > &defaultTestCaseIds, TConstructDatabaseCallable constructDatabase, const armnn::TensorShape *inputTensorShape=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_8inl_source.html#l00352">InferenceTest.inl:352</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> |
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