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<div class="title">TfLiteMobileNetSsd-Armnn.cpp</div> </div>
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<a href="_tf_lite_mobile_net_ssd-_armnn_8cpp.xhtml">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 "../MobileNetSsdInferenceTest.hpp"</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_i_tf_lite_parser_8hpp.xhtml">armnnTfLiteParser/ITfLiteParser.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"> 9</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <iterator></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn_tf_lite_parser.xhtml">armnnTfLiteParser</a>;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="_tf_lite_mobile_net_ssd-_armnn_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97"> 14</a></span> <span class="keywordtype">int</span> <a class="code" href="_tf_lite_mobile_net_ssd-_armnn_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>* argv[])</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="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> = float;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">using</span> Parser = <a class="code" href="classarmnn_tf_lite_parser_1_1_i_tf_lite_parser.xhtml">armnnTfLiteParser::ITfLiteParser</a>;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">using</span> Model = <a class="code" href="class_inference_model.xhtml">InferenceModel<Parser, DataType></a>;</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>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputTensorShape({ 1, 300, 300, 3 });</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>  std::vector<const char*> inputLayerNames =</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="stringliteral">"normalized_input_image_tensor"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  };</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>  std::vector<const char*> outputLayerNames =</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>  <span class="stringliteral">"TFLite_Detection_PostProcess"</span>,</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="stringliteral">"TFLite_Detection_PostProcess:1"</span>,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="stringliteral">"TFLite_Detection_PostProcess:2"</span>,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="stringliteral">"TFLite_Detection_PostProcess:3"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  };</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  retVal = <a class="code" href="namespacearmnn_1_1test.xhtml#a7ad751ee33bdcba0656fdb6e98eb17f1">InferenceTestMain</a>(argc, argv, { 0 },</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  [&inputTensorShape, inputLayerNames, outputLayerNames]()</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> make_unique<MobileNetSsdTestCaseProvider<Model>>(</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="keyword">const</span> <a class="code" href="structarmnn_1_1test_1_1_inference_test_options.xhtml">InferenceTestOptions</a>& commonOptions,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">typename</span> Model::CommandLineOptions modelOptions)</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn_1_1test.xhtml#a8a678fb3a8864e31aeb77f857ae6fc43">ValidateDirectory</a>(modelOptions.m_ModelDir))</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>  <span class="keywordflow">return</span> std::unique_ptr<Model>();</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</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="keyword">typename</span> Model::Params modelParams;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  modelParams.m_ModelPath =</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  modelOptions.m_ModelDir + <span class="stringliteral">"ssd_mobilenet_v1.tflite"</span>;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::copy(inputLayerNames.begin(), inputLayerNames.end(),</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  std::back_inserter(modelParams.m_InputBindings));</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>  std::copy(outputLayerNames.begin(), outputLayerNames.end(),</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  std::back_inserter(modelParams.m_OutputBindings));</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>  modelParams.m_InputShapes = { inputTensorShape };</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  modelParams.m_IsModelBinary = <span class="keyword">true</span>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  modelParams.m_ComputeDevices = modelOptions.GetComputeDevicesAsBackendIds();</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  modelParams.m_VisualizePostOptimizationModel = modelOptions.m_VisualizePostOptimizationModel;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  modelParams.m_EnableFp16TurboMode = modelOptions.m_EnableFp16TurboMode;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> std::make_unique<Model>(modelParams,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  commonOptions.m_EnableProfiling,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  commonOptions.m_DynamicBackendsPath);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  });</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  });</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  }</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> std::exception& e)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</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="l00076"></a><span class="lineno"> 76</span>  <span class="stringliteral">"the classifier inference tests: "</span> << e.what() << std::endl;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> retVal;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div><div class="ttc" id="structarmnn_1_1test_1_1_inference_test_options_xhtml"><div class="ttname"><a href="structarmnn_1_1test_1_1_inference_test_options.xhtml">armnn::test::InferenceTestOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_inference_test_8hpp_source.xhtml#l00059">InferenceTest.hpp:59</a></div></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#l00372">InferenceModel.hpp:372</a></div></div>
<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#l00026">ITfLiteParser.hpp:26</a></div></div>
<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>
<div class="ttc" id="_i_tf_lite_parser_8hpp_xhtml"><div class="ttname"><a href="_i_tf_lite_parser_8hpp.xhtml">ITfLiteParser.hpp</a></div></div>
<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#l00035">Types.hpp:35</a></div></div>
<div class="ttc" id="_tf_lite_mobile_net_ssd-_armnn_8cpp_xhtml_a0ddf1224851353fc92bfbff6f499fa97"><div class="ttname"><a href="_tf_lite_mobile_net_ssd-_armnn_8cpp.xhtml#a0ddf1224851353fc92bfbff6f499fa97">main</a></div><div class="ttdeci">int main(int argc, char *argv[])</div><div class="ttdef"><b>Definition:</b> <a href="_tf_lite_mobile_net_ssd-_armnn_8cpp_source.xhtml#l00014">TfLiteMobileNetSsd-Armnn.cpp:14</a></div></div>
<div class="ttc" id="namespacearmnn_1_1test_xhtml_a8a678fb3a8864e31aeb77f857ae6fc43"><div class="ttname"><a href="namespacearmnn_1_1test.xhtml#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.xhtml#l00084">InferenceTest.cpp:84</a></div></div>
<div class="ttc" id="namespacearmnn_tf_lite_parser_xhtml"><div class="ttname"><a href="namespacearmnn_tf_lite_parser.xhtml">armnnTfLiteParser</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tf_lite_parser_8hpp_source.xhtml#l00017">ITfLiteParser.hpp:17</a></div></div>
<div class="ttc" id="namespacearmnn_1_1test_xhtml_a7ad751ee33bdcba0656fdb6e98eb17f1"><div class="ttname"><a href="namespacearmnn_1_1test.xhtml#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.xhtml#l00311">InferenceTest.inl:311</a></div></div>
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