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| 87 | <a href="_caffe_yolo-_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 "../YoloInferenceTest.hpp"</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_i_caffe_parser_8hpp.html">armnnCaffeParser/ICaffeParser.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.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="_caffe_yolo-_armnn_8cpp.html#a0ddf1224851353fc92bfbff6f499fa97"> 9</a></span> <span class="keywordtype">int</span> <a class="code" href="_caffe_yolo-_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>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputTensorShape{ { 1, 3, <a class="code" href="_yolo_database_8hpp.html#af74f4ad1b33fe68237cb97c9345e9e87">YoloImageHeight</a>, <a class="code" href="_yolo_database_8hpp.html#a88c3339d57718f167a374ab572610ba8">YoloImageWidth</a> } };</div><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="keyword">using</span> YoloInferenceModel = <a class="code" href="class_inference_model.html">InferenceModel</a><<a class="code" href="classarmnn_caffe_parser_1_1_i_caffe_parser.html">armnnCaffeParser::ICaffeParser</a>,</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <span class="keywordtype">float</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="keywordtype">int</span> retVal = EXIT_FAILURE;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keywordflow">try</span></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">// Coverity fix: InferenceTestMain() may throw uncaught exceptions.</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  retVal = <a class="code" href="namespacearmnn_1_1test.html#a7ad751ee33bdcba0656fdb6e98eb17f1">InferenceTestMain</a>(argc, argv, { 0 },</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  [&inputTensorShape]()</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">return</span> make_unique<YoloTestCaseProvider<YoloInferenceModel>>(</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>  (<span class="keyword">const</span> <a class="code" href="structarmnn_1_1test_1_1_inference_test_options.html">InferenceTestOptions</a> &commonOptions,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">typename</span> YoloInferenceModel::CommandLineOptions modelOptions)</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="keywordflow">if</span> (!<a class="code" href="namespacearmnn_1_1test.html#a8a678fb3a8864e31aeb77f857ae6fc43">ValidateDirectory</a>(modelOptions.m_ModelDir))</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  {</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">return</span> std::unique_ptr<YoloInferenceModel>();</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  }</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="keyword">typename</span> YoloInferenceModel::Params modelParams;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  modelParams.m_ModelPath = modelOptions.m_ModelDir + <span class="stringliteral">"yolov1_tiny_voc2007_model.caffemodel"</span>;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  modelParams.m_InputBindings = { <span class="stringliteral">"data"</span> };</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  modelParams.m_OutputBindings = { <span class="stringliteral">"fc12"</span> };</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  modelParams.m_InputShapes = { inputTensorShape };</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  modelParams.m_IsModelBinary = <span class="keyword">true</span>;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  modelParams.m_ComputeDevices = modelOptions.GetComputeDevicesAsBackendIds();</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  modelParams.m_VisualizePostOptimizationModel = modelOptions.m_VisualizePostOptimizationModel;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  modelParams.m_EnableFp16TurboMode = modelOptions.m_EnableFp16TurboMode;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">return</span> std::make_unique<YoloInferenceModel>(modelParams,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  commonOptions.m_EnableProfiling,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  commonOptions.m_DynamicBackendsPath);</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>  });</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  }</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception& e)</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">// Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// exception of type std::length_error.</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</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="l00054"></a><span class="lineno"> 54</span>  std::cerr << <span class="stringliteral">"WARNING: CaffeYolo-Armnn: An error has occurred when running "</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="stringliteral">"the classifier inference tests: "</span> << e.what() << std::endl;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">return</span> retVal;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</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> |
| 88 | <div class="ttc" id="_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div> |
| 89 | <div class="ttc" id="_caffe_yolo-_armnn_8cpp_html_a0ddf1224851353fc92bfbff6f499fa97"><div class="ttname"><a href="_caffe_yolo-_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="_caffe_yolo-_armnn_8cpp_source.html#l00009">CaffeYolo-Armnn.cpp:9</a></div></div> |
| 90 | <div class="ttc" id="_i_caffe_parser_8hpp_html"><div class="ttname"><a href="_i_caffe_parser_8hpp.html">ICaffeParser.hpp</a></div></div> |
| 91 | <div class="ttc" id="structarmnn_1_1test_1_1_inference_test_options_html"><div class="ttname"><a href="structarmnn_1_1test_1_1_inference_test_options.html">armnn::test::InferenceTestOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_8hpp_source.html#l00055">InferenceTest.hpp:55</a></div></div> |
| 92 | <div class="ttc" id="_yolo_database_8hpp_html_af74f4ad1b33fe68237cb97c9345e9e87"><div class="ttname"><a href="_yolo_database_8hpp.html#af74f4ad1b33fe68237cb97c9345e9e87">YoloImageHeight</a></div><div class="ttdeci">constexpr unsigned int YoloImageHeight</div><div class="ttdef"><b>Definition:</b> <a href="_yolo_database_8hpp_source.html#l00051">YoloDatabase.hpp:51</a></div></div> |
| 93 | <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> |
| 94 | <div class="ttc" id="_yolo_database_8hpp_html_a88c3339d57718f167a374ab572610ba8"><div class="ttname"><a href="_yolo_database_8hpp.html#a88c3339d57718f167a374ab572610ba8">YoloImageWidth</a></div><div class="ttdeci">constexpr unsigned int YoloImageWidth</div><div class="ttdef"><b>Definition:</b> <a href="_yolo_database_8hpp_source.html#l00050">YoloDatabase.hpp:50</a></div></div> |
| 95 | <div class="ttc" id="namespacearmnn_1_1test_html_a7ad751ee33bdcba0656fdb6e98eb17f1"><div class="ttname"><a href="namespacearmnn_1_1test.html#a7ad751ee33bdcba0656fdb6e98eb17f1">armnn::test::InferenceTestMain</a></div><div class="ttdeci">int InferenceTestMain(int argc, char *argv[], const std::vector< unsigned int > &defaultTestCaseIds, TConstructTestCaseProvider constructTestCaseProvider)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_8inl_source.html#l00301">InferenceTest.inl:301</a></div></div> |
| 96 | <div class="ttc" id="classarmnn_caffe_parser_1_1_i_caffe_parser_html"><div class="ttname"><a href="classarmnn_caffe_parser_1_1_i_caffe_parser.html">armnnCaffeParser::ICaffeParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_caffe_parser_8hpp_source.html#l00024">ICaffeParser.hpp:24</a></div></div> |
| 97 | <div class="ttc" id="namespacearmnn_1_1test_html_a8a678fb3a8864e31aeb77f857ae6fc43"><div class="ttname"><a href="namespacearmnn_1_1test.html#a8a678fb3a8864e31aeb77f857ae6fc43">armnn::test::ValidateDirectory</a></div><div class="ttdeci">bool ValidateDirectory(std::string &dir)</div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_8cpp_source.html#l00092">InferenceTest.cpp:92</a></div></div> |
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