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<div class="title">CompatibilityTests.cpp File Reference</div> </div>
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<div class="textblock"><code>#include <boost/test/unit_test.hpp></code><br />
<code>#include <<a class="el" href="_cl_backend_8hpp_source.xhtml">cl/ClBackend.hpp</a>></code><br />
<code>#include <<a class="el" href="_neon_backend_8hpp_source.xhtml">neon/NeonBackend.hpp</a>></code><br />
<code>#include <<a class="el" href="_network_8hpp_source.xhtml">Network.hpp</a>></code><br />
<code>#include <vector></code><br />
<code>#include <string></code><br />
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<h2 class="memtitle"><span class="permalink"><a href="#a8189edd0b64c34308ac5ae769f5baae3">◆ </a></span>BOOST_AUTO_TEST_CASE()</h2>
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<td class="memname">BOOST_AUTO_TEST_CASE </td>
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<p class="definition">Definition at line <a class="el" href="_compatibility_tests_8cpp_source.xhtml#l00020">20</a> of file <a class="el" href="_compatibility_tests_8cpp_source.xhtml">CompatibilityTests.cpp</a>.</p>
<p class="reference">References <a class="el" href="_graph_8cpp_source.xhtml#l00300">Graph::AddCompatibilityLayers()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00402">Graph::AddLayer()</a>, <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00083">OutputSlot::Connect()</a>, <a class="el" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016a78d1be0baa31e083ae8da99aaedaf650">armnn::DirectCompatibility</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00039">Graph::ForEachLayer()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00186">OutputSlot::GetEdgeStrategyForConnection()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00316">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00318">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00176">OutputSlot::GetTensorHandleFactoryId()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00265">Layer::GetType()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::MemCopy</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a115bfc5d633eae55c67f9588acdd2bf9">armnn::MemImport</a>, <a class="el" href="_network_8cpp_source.xhtml#l01434">armnn::SelectTensorHandleStrategy()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00270">Layer::SetBackendId()</a>, and <a class="el" href="_graph_8hpp_source.xhtml#l00177">Graph::TopologicalSort()</a>.</p>
<div class="fragment"><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">auto</span> neonBackend = std::make_unique<NeonBackend>();</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">auto</span> clBackend = std::make_unique<ClBackend>();</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>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> registry;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  neonBackend->RegisterTensorHandleFactories(registry);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  clBackend->RegisterTensorHandleFactories(registry);</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>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>& neonBackendId = neonBackend->GetId();</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>& clBackendId = clBackend->GetId();</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>  <a class="code" href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a> backends;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  backends[neonBackendId] = std::move(neonBackend);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  backends[clBackendId] = std::move(clBackend);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="classarmnn_1_1_graph.xhtml">armnn::Graph</a> graph;</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>  <a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>* <span class="keyword">const</span> inputLayer = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a>>(0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  inputLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(neonBackendId);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a> smDesc;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="classarmnn_1_1_softmax_layer.xhtml">armnn::SoftmaxLayer</a>* <span class="keyword">const</span> softmaxLayer1 = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_softmax_layer.xhtml">armnn::SoftmaxLayer</a>>(smDesc, <span class="stringliteral">"softmax1"</span>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  softmaxLayer1-><a class="code" href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(clBackendId);</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>  <a class="code" href="classarmnn_1_1_softmax_layer.xhtml">armnn::SoftmaxLayer</a>* <span class="keyword">const</span> softmaxLayer2 = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_softmax_layer.xhtml">armnn::SoftmaxLayer</a>>(smDesc, <span class="stringliteral">"softmax2"</span>);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  softmaxLayer2-><a class="code" href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(neonBackendId);</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>  <a class="code" href="classarmnn_1_1_softmax_layer.xhtml">armnn::SoftmaxLayer</a>* <span class="keyword">const</span> softmaxLayer3 = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_softmax_layer.xhtml">armnn::SoftmaxLayer</a>>(smDesc, <span class="stringliteral">"softmax3"</span>);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  softmaxLayer3-><a class="code" href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(clBackendId);</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>  <a class="code" href="classarmnn_1_1_softmax_layer.xhtml">armnn::SoftmaxLayer</a>* <span class="keyword">const</span> softmaxLayer4 = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_softmax_layer.xhtml">armnn::SoftmaxLayer</a>>(smDesc, <span class="stringliteral">"softmax4"</span>);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  softmaxLayer4-><a class="code" href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(neonBackendId);</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>  <a class="code" href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a>* <span class="keyword">const</span> outputLayer = graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">AddLayer</a><<a class="code" href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  outputLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(clBackendId);</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>  inputLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(softmaxLayer1-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  softmaxLayer1-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(softmaxLayer2-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  softmaxLayer2-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(softmaxLayer3-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  softmaxLayer3-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(softmaxLayer4-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  softmaxLayer4-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(outputLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  graph.<a class="code" href="classarmnn_1_1_graph.xhtml#a9a7209345edfdb2b066b0ceb66414d7c">TopologicalSort</a>();</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>  std::vector<std::string> errors;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">auto</span> result = <a class="code" href="namespacearmnn.xhtml#a86541d11fcad5246a78cbc21d637a504">SelectTensorHandleStrategy</a>(graph, backends, registry, <span class="keyword">true</span>, errors);</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>  BOOST_TEST(result.m_Error == <span class="keyword">false</span>);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  BOOST_TEST(result.m_Warning == <span class="keyword">false</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>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& inputLayerOut = inputLayer-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& softmaxLayer1Out = softmaxLayer1-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& softmaxLayer2Out = softmaxLayer2-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& softmaxLayer3Out = softmaxLayer3-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& softmaxLayer4Out = softmaxLayer4-><a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</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="comment">// Check that the correct factory was selected</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  BOOST_TEST(inputLayerOut.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>() == <span class="stringliteral">"Arm/Cl/TensorHandleFactory"</span>);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  BOOST_TEST(softmaxLayer1Out.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>() == <span class="stringliteral">"Arm/Cl/TensorHandleFactory"</span>);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  BOOST_TEST(softmaxLayer2Out.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>() == <span class="stringliteral">"Arm/Cl/TensorHandleFactory"</span>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  BOOST_TEST(softmaxLayer3Out.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>() == <span class="stringliteral">"Arm/Cl/TensorHandleFactory"</span>);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  BOOST_TEST(softmaxLayer4Out.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>() == <span class="stringliteral">"Arm/Cl/TensorHandleFactory"</span>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Check that the correct strategy was selected</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  BOOST_TEST((inputLayerOut.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a5b481a458c19fd3807b6e04b94b9b174">GetEdgeStrategyForConnection</a>(0) == EdgeStrategy::DirectCompatibility));</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  BOOST_TEST((softmaxLayer1Out.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a5b481a458c19fd3807b6e04b94b9b174">GetEdgeStrategyForConnection</a>(0) == EdgeStrategy::DirectCompatibility));</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  BOOST_TEST((softmaxLayer2Out.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a5b481a458c19fd3807b6e04b94b9b174">GetEdgeStrategyForConnection</a>(0) == EdgeStrategy::DirectCompatibility));</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  BOOST_TEST((softmaxLayer3Out.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a5b481a458c19fd3807b6e04b94b9b174">GetEdgeStrategyForConnection</a>(0) == EdgeStrategy::DirectCompatibility));</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  BOOST_TEST((softmaxLayer4Out.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a5b481a458c19fd3807b6e04b94b9b174">GetEdgeStrategyForConnection</a>(0) == EdgeStrategy::DirectCompatibility));</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  graph.<a class="code" href="classarmnn_1_1_graph.xhtml#ad1bbee7bf5f93b792675886f57d3ebe0">AddCompatibilityLayers</a>(backends, registry);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// Test for copy layers</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordtype">int</span> copyCount= 0;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  graph.<a class="code" href="classarmnn_1_1_graph.xhtml#ad6521013ad981519904822f2ada2c4ec">ForEachLayer</a>([&copyCount](<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* layer)</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">if</span> (layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == LayerType::MemCopy)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  copyCount++;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  });</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  BOOST_TEST(copyCount == 0);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// Test for import layers</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordtype">int</span> importCount= 0;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  graph.<a class="code" href="classarmnn_1_1_graph.xhtml#ad6521013ad981519904822f2ada2c4ec">ForEachLayer</a>([&importCount](<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a> *layer)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">if</span> (layer-><a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == LayerType::MemImport)</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  importCount++;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  });</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  BOOST_TEST(importCount == 0);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> }</div><div class="ttc" id="classarmnn_1_1_graph_xhtml_a7563c5b899e7d0ada08fd0fdb202f205"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a7563c5b899e7d0ada08fd0fdb202f205">armnn::Graph::AddLayer</a></div><div class="ttdeci">LayerT * AddLayer(Args &&... args)</div><div class="ttdoc">Adds a new layer, of type LayerType, to the graph constructed with the arguments passed. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00402">Graph.hpp:402</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_adcfb97035799ea4c043f9ef370714815"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(InputSlot &destination)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00083">Layer.cpp:83</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a5b481a458c19fd3807b6e04b94b9b174"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a5b481a458c19fd3807b6e04b94b9b174">armnn::OutputSlot::GetEdgeStrategyForConnection</a></div><div class="ttdeci">EdgeStrategy GetEdgeStrategyForConnection(unsigned int connectionIdx) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00186">Layer.cpp:186</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a3f6ad59212fa8a47c9265162fff8a274"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">armnn::Layer::SetBackendId</a></div><div class="ttdeci">void SetBackendId(const BackendId &id)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00270">Layer.hpp:270</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00316">Layer.hpp:316</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_layer.xhtml">armnn::OutputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_output_layer_8hpp_source.xhtml#l00013">OutputLayer.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml_ad6521013ad981519904822f2ada2c4ec"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#ad6521013ad981519904822f2ada2c4ec">armnn::Graph::ForEachLayer</a></div><div class="ttdeci">void ForEachLayer(Func func) const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00039">Graph.hpp:39</a></div></div>
<div class="ttc" id="classarmnn_1_1_softmax_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_softmax_layer.xhtml">armnn::SoftmaxLayer</a></div><div class="ttdoc">This layer represents a softmax operation. </div><div class="ttdef"><b>Definition:</b> <a href="_softmax_layer_8hpp_source.xhtml#l00013">SoftmaxLayer.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00265">Layer.hpp:265</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00083">Layer.hpp:83</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.xhtml#l00020">TensorHandleFactoryRegistry.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_input_layer.xhtml">armnn::InputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_input_layer_8hpp_source.xhtml#l00013">InputLayer.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00318">Layer.hpp:318</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a86541d11fcad5246a78cbc21d637a504"><div class="ttname"><a href="namespacearmnn.xhtml#a86541d11fcad5246a78cbc21d637a504">armnn::SelectTensorHandleStrategy</a></div><div class="ttdeci">OptimizationResult SelectTensorHandleStrategy(Graph &optGraph, BackendsMap &backends, TensorHandleFactoryRegistry &registry, bool importEnabled, Optional< std::vector< std::string > &> errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01434">Network.cpp:1434</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_af303cf872a3f95e29992e45224e4cf8e"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">armnn::OutputSlot::GetTensorHandleFactoryId</a></div><div class="ttdeci">ITensorHandleFactory::FactoryId GetTensorHandleFactoryId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00176">Layer.cpp:176</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml_a9a7209345edfdb2b066b0ceb66414d7c"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#a9a7209345edfdb2b066b0ceb66414d7c">armnn::Graph::TopologicalSort</a></div><div class="ttdeci">Graph & TopologicalSort()</div><div class="ttdoc">Sorts layers in topological order and return this. </div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00177">Graph.hpp:177</a></div></div>
<div class="ttc" id="structarmnn_1_1_softmax_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00139">Descriptors.hpp:139</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml_ad1bbee7bf5f93b792675886f57d3ebe0"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#ad1bbee7bf5f93b792675886f57d3ebe0">armnn::Graph::AddCompatibilityLayers</a></div><div class="ttdeci">void AddCompatibilityLayers(std::map< BackendId, std::unique_ptr< class IBackendInternal >> &backends, TensorHandleFactoryRegistry &registry)</div><div class="ttdoc">Modifies the graph in-place, removing edges connecting layers using different compute devices...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00300">Graph.cpp:300</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00210">Layer.hpp:210</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a9173495a61a0092b5f38b855f02c3585"><div class="ttname"><a href="namespacearmnn.xhtml#a9173495a61a0092b5f38b855f02c3585">armnn::BackendsMap</a></div><div class="ttdeci">std::map< BackendId, std::unique_ptr< class IBackendInternal > > BackendsMap</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00310">Network.hpp:310</a></div></div>
<div class="ttc" id="classarmnn_1_1_backend_id_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00075">BackendId.hpp:75</a></div></div>
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