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<div class="title">NetworkTests.cpp</div> </div>
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<a href="_network_tests_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> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_graph_utils_8hpp.xhtml">GraphUtils.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_layer_visitor_base_8hpp.xhtml">armnn/LayerVisitorBase.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_network_8hpp.xhtml">Network.hpp</a>></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="preprocessor">#include <boost/test/unit_test.hpp></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="keyword">namespace</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> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keywordtype">bool</span> AreAllLayerInputSlotsConnected(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>& layer)</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="keywordtype">bool</span> allConnected = <span class="keyword">true</span>;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>(); ++i)</div><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">const</span> <span class="keywordtype">bool</span> inputConnected = layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(i).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>() != <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  allConnected &= inputConnected;</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="keywordflow">return</span> allConnected;</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> </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> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(Network)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead"> 32</a></span> <a class="code" href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead">BOOST_AUTO_TEST_CASE</a>(LayerGuids)</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">armnn::LayerGuid</a> inputId = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">AddInputLayer</a>(0)-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#afb5e65c770f6cee222db8af7581541a6">GetGuid</a>();</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">armnn::LayerGuid</a> addId = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a39f1b38d89c4de186742eafcbb3b1319">AddAdditionLayer</a>()-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#afb5e65c770f6cee222db8af7581541a6">GetGuid</a>();</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">armnn::LayerGuid</a> outputId = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">AddOutputLayer</a>(0)-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#afb5e65c770f6cee222db8af7581541a6">GetGuid</a>();</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  BOOST_TEST(inputId != addId);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  BOOST_TEST(addId != outputId);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  BOOST_TEST(inputId != outputId);</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> </div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#a69d6be9fe15ed0c2ec6478c9278ed3df"> 44</a></span> <a class="code" href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead">BOOST_AUTO_TEST_CASE</a>(NetworkBasic)</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_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  BOOST_TEST(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aff3fde909d22ed157046682e70129259">PrintGraph</a>() == <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a>);</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> </div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#a0f487c4f7040ee948a2a9dfc2f9edd40"> 50</a></span> <a class="code" href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead">BOOST_AUTO_TEST_CASE</a>(LayerNamesAreOptionalForINetwork)</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="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> inet(<a class="code" href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a>());</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  inet->AddInputLayer(0);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  inet->AddAdditionLayer();</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  inet->AddActivationLayer(<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a>());</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  inet->AddOutputLayer(0);</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> </div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#a15c2c9a0a39db945304f2ef2453fa50a"> 59</a></span> <a class="code" href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead">BOOST_AUTO_TEST_CASE</a>(LayerNamesAreOptionalForNetwork)</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>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">AddInputLayer</a>(0);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a39f1b38d89c4de186742eafcbb3b1319">AddAdditionLayer</a>();</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aa51350bdd4976f3dd5a4e9d00a906b2c">AddActivationLayer</a>(<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a>());</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">AddOutputLayer</a>(0);</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> </div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#a9263985da8354d39b3d6fc5689f8b2dd"> 68</a></span> <a class="code" href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead">BOOST_AUTO_TEST_CASE</a>(NetworkModification)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</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_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> inputLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">AddInputLayer</a>(0, <span class="stringliteral">"input layer"</span>);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  BOOST_TEST(inputLayer);</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dims[] = { 10,1,1,1 };</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::vector<float> convWeightsData(10);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> weights(<a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, dims, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>), convWeightsData);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a> convDesc2d;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> convLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a178a72bbf254eff34a807a5ca27cb61f">AddConvolution2dLayer</a>(convDesc2d,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  weights,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>(),</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="stringliteral">"conv layer"</span>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  BOOST_TEST(convLayer);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  inputLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(convLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a> fullyConnectedDesc;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> fullyConnectedLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#ae3ef3b97542241d331a38613ae189f3e">AddFullyConnectedLayer</a>(fullyConnectedDesc,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  weights,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>(),</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="stringliteral">"fully connected"</span>);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  BOOST_TEST(fullyConnectedLayer);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  convLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(fullyConnectedLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a> pooling2dDesc;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> poolingLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#ae913b4351b7027f37eb5657dd7867733">AddPooling2dLayer</a>(pooling2dDesc, <span class="stringliteral">"pooling2d"</span>);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  BOOST_TEST(poolingLayer);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  fullyConnectedLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(poolingLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</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>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a> activationDesc;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> activationLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aa51350bdd4976f3dd5a4e9d00a906b2c">AddActivationLayer</a>(activationDesc, <span class="stringliteral">"activation"</span>);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  BOOST_TEST(activationLayer);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  poolingLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(activationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</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>  <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a> normalizationDesc;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> normalizationLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a6c5376053e1f875776d7bc36fd0b7d45">AddNormalizationLayer</a>(normalizationDesc, <span class="stringliteral">"normalization"</span>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  BOOST_TEST(normalizationLayer);</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>  activationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(normalizationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a> softmaxDesc;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> softmaxLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a">AddSoftmaxLayer</a>(softmaxDesc, <span class="stringliteral">"softmax"</span>);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  BOOST_TEST(softmaxLayer);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  normalizationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(softmaxLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a> batchNormDesc;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> tensorInfo({ 1 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  std::vector<float> data(tensorInfo.GetNumBytes() / <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> invalidTensor(tensorInfo, data);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> batchNormalizationLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a8f798e19187ac7ae6ae6153ee64ab645">AddBatchNormalizationLayer</a>(batchNormDesc,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  invalidTensor,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  invalidTensor,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  invalidTensor,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  invalidTensor,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="stringliteral">"batch norm"</span>);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  BOOST_TEST(batchNormalizationLayer);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  softmaxLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(batchNormalizationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> additionLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a39f1b38d89c4de186742eafcbb3b1319">AddAdditionLayer</a>(<span class="stringliteral">"addition"</span>);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  BOOST_TEST(additionLayer);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  batchNormalizationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(additionLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  batchNormalizationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(additionLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(1));</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> multiplicationLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#abb59f6ba9988dae88e0f48e68d87fc32">AddMultiplicationLayer</a>(<span class="stringliteral">"multiplication"</span>);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  BOOST_TEST(multiplicationLayer);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  additionLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(multiplicationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  additionLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(multiplicationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(1));</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> outputLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">AddOutputLayer</a>(0, <span class="stringliteral">"output layer"</span>);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  BOOST_TEST(outputLayer);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  multiplicationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(outputLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">//Tests that all layers are present in the graph.</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  BOOST_TEST(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>().<a class="code" href="classarmnn_1_1_graph.xhtml#afdf8eb85585a798ad0e936bde884d87b">GetNumLayers</a>() == 11);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="comment">//Tests that the vertices exist and have correct names.</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"input layer"</span>));</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"conv layer"</span>));</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"fully connected"</span>));</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"pooling2d"</span>));</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"activation"</span>));</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"normalization"</span>));</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"softmax"</span>));</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"batch norm"</span>));</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"addition"</span>));</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"multiplication"</span>));</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"output layer"</span>));</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keyword">auto</span> checkOneOutputToOneInputConnection = []</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> srcLayer,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> tgtLayer,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">int</span> expectedSrcNumInputs = 1,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordtype">int</span> expectedDstNumOutputs = 1)</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  BOOST_TEST(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == expectedSrcNumInputs);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  BOOST_TEST(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 1);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  BOOST_TEST(tgtLayer->GetNumInputSlots() == 1);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  BOOST_TEST(tgtLayer->GetNumOutputSlots() == expectedDstNumOutputs);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  BOOST_TEST(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#aab97b09d9ee85a105883949abcae52f3">GetNumConnections</a>() == 1);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  BOOST_TEST(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9fffb92dc6d2edd5258d574a5862fc83">GetConnection</a>(0) == &tgtLayer->GetInputSlot(0));</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  BOOST_TEST(&srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0) == tgtLayer->GetInputSlot(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9fffb92dc6d2edd5258d574a5862fc83">GetConnection</a>());</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  };</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">auto</span> checkOneOutputToTwoInputsConnections = []</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> srcLayer,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> tgtLayer,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordtype">int</span> expectedSrcNumInputs,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordtype">int</span> expectedDstNumOutputs = 1)</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  BOOST_TEST(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == expectedSrcNumInputs);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  BOOST_TEST(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 1);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  BOOST_TEST(tgtLayer->GetNumInputSlots() == 2);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  BOOST_TEST(tgtLayer->GetNumOutputSlots() == expectedDstNumOutputs);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  BOOST_TEST(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#aab97b09d9ee85a105883949abcae52f3">GetNumConnections</a>() == 2);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#aab97b09d9ee85a105883949abcae52f3">GetNumConnections</a>(); ++i)</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  BOOST_TEST(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9fffb92dc6d2edd5258d574a5862fc83">GetConnection</a>(i) == &tgtLayer->GetInputSlot(i));</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  BOOST_TEST(&srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0) == tgtLayer->GetInputSlot(i).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9fffb92dc6d2edd5258d574a5862fc83">GetConnection</a>());</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  };</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  BOOST_TEST(AreAllLayerInputSlotsConnected(*convLayer));</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  BOOST_TEST(AreAllLayerInputSlotsConnected(*fullyConnectedLayer));</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  BOOST_TEST(AreAllLayerInputSlotsConnected(*poolingLayer));</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  BOOST_TEST(AreAllLayerInputSlotsConnected(*activationLayer));</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  BOOST_TEST(AreAllLayerInputSlotsConnected(*normalizationLayer));</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  BOOST_TEST(AreAllLayerInputSlotsConnected(*softmaxLayer));</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  BOOST_TEST(AreAllLayerInputSlotsConnected(*batchNormalizationLayer));</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  BOOST_TEST(AreAllLayerInputSlotsConnected(*additionLayer));</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  BOOST_TEST(AreAllLayerInputSlotsConnected(*multiplicationLayer));</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  BOOST_TEST(AreAllLayerInputSlotsConnected(*outputLayer));</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="comment">// Checks connectivity.</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  checkOneOutputToOneInputConnection(inputLayer, convLayer, 0);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  checkOneOutputToOneInputConnection(convLayer, fullyConnectedLayer);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  checkOneOutputToOneInputConnection(fullyConnectedLayer, poolingLayer);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  checkOneOutputToOneInputConnection(poolingLayer, activationLayer);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  checkOneOutputToOneInputConnection(activationLayer, normalizationLayer);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  checkOneOutputToOneInputConnection(normalizationLayer, softmaxLayer);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  checkOneOutputToOneInputConnection(softmaxLayer, batchNormalizationLayer);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  checkOneOutputToTwoInputsConnections(batchNormalizationLayer, additionLayer, 1);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  checkOneOutputToTwoInputsConnections(additionLayer, multiplicationLayer, 2);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  checkOneOutputToOneInputConnection(multiplicationLayer, outputLayer, 2, 0);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> }</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div><div class="line"><a name="l00228"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#ae064036cc8dace533f3df544baa6ac2e"> 228</a></span> <a class="code" href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead">BOOST_AUTO_TEST_CASE</a>(NetworkModification_SplitterConcat)</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="comment">// Adds an input layer and an input tensor descriptor.</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* inputLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">AddInputLayer</a>(0, <span class="stringliteral">"input layer"</span>);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  BOOST_TEST(inputLayer);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// Adds a splitter layer.</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a> splitterDesc(2,4);</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* splitterLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a6f6d81d8a4f1f85f3616e8306760061c">AddSplitterLayer</a>(splitterDesc, <span class="stringliteral">"splitter layer"</span>);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  BOOST_TEST(splitterLayer);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  inputLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="comment">// Adds a softmax layer 1.</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a> softmaxDescriptor;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* softmaxLayer1 = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a">AddSoftmaxLayer</a>(softmaxDescriptor, <span class="stringliteral">"softmax_1"</span>);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  BOOST_TEST(softmaxLayer1);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(softmaxLayer1-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="comment">// Adds a softmax layer 2.</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* softmaxLayer2 = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a">AddSoftmaxLayer</a>(softmaxDescriptor, <span class="stringliteral">"softmax_2"</span>);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  BOOST_TEST(softmaxLayer2);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(1).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(softmaxLayer2-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="comment">// Adds a concat layer.</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a> concatDesc(2, 4);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* concatLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aea1059833739d3dccebb3a03ec35a1e6">AddConcatLayer</a>(concatDesc, <span class="stringliteral">"concat layer"</span>);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  BOOST_TEST(concatLayer);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  softmaxLayer1-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(concatLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  softmaxLayer2-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(concatLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(1));</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="comment">// Adds an output layer.</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* outputLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">AddOutputLayer</a>(0, <span class="stringliteral">"output layer"</span>);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  BOOST_TEST(outputLayer);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  concatLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(outputLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  BOOST_TEST(splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 2);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  BOOST_TEST(splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9fffb92dc6d2edd5258d574a5862fc83">GetConnection</a>(0) == &softmaxLayer1-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  BOOST_TEST(&splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0) == softmaxLayer1-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>());</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  BOOST_TEST(splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(1).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9fffb92dc6d2edd5258d574a5862fc83">GetConnection</a>(0) == &softmaxLayer2-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  BOOST_TEST(&splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(1) == softmaxLayer2-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>());</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  BOOST_TEST(concatLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == 2);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  BOOST_TEST(softmaxLayer1-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9fffb92dc6d2edd5258d574a5862fc83">GetConnection</a>(0) == &concatLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  BOOST_TEST(&softmaxLayer1-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0) == concatLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>());</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  BOOST_TEST(softmaxLayer2-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9fffb92dc6d2edd5258d574a5862fc83">GetConnection</a>(0) == &concatLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(1));</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  BOOST_TEST(&softmaxLayer2-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0) == concatLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>());</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> }</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#adfc1ae08aaaaf816ecb34515c0a0e44f"> 285</a></span> <a class="code" href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead">BOOST_AUTO_TEST_CASE</a>(NetworkModification_SplitterAddition)</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> {</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="comment">// Adds an input layer and an input tensor descriptor.</span></div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">AddInputLayer</a>(0, <span class="stringliteral">"input layer"</span>);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  BOOST_TEST(layer);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="comment">// Adds a splitter layer.</span></div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a> splitterDesc(2,4);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> splitterLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a6f6d81d8a4f1f85f3616e8306760061c">AddSplitterLayer</a>(splitterDesc, <span class="stringliteral">"splitter layer"</span>);</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  BOOST_TEST(splitterLayer);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="comment">// Adds a softmax layer 1.</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a> softmaxDescriptor;</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> softmax1Layer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a">AddSoftmaxLayer</a>(softmaxDescriptor, <span class="stringliteral">"softmax_1"</span>);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  BOOST_TEST(softmax1Layer);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(softmax1Layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="comment">// Adds a softmax layer 2.</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> softmax2Layer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a">AddSoftmaxLayer</a>(softmaxDescriptor, <span class="stringliteral">"softmax_2"</span>);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  BOOST_TEST(softmax2Layer);</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(1).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(softmax2Layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="comment">// Adds addition layer.</span></div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  layer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a39f1b38d89c4de186742eafcbb3b1319">AddAdditionLayer</a>(<span class="stringliteral">"add layer"</span>);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  BOOST_TEST(layer);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  softmax1Layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  softmax2Layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(1));</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="comment">// Adds an output layer.</span></div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* prevLayer = layer;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  layer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">AddOutputLayer</a>(0, <span class="stringliteral">"output layer"</span>);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> </div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  prevLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  BOOST_TEST(layer);</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> }</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#afb8fb95510550f39dc350f3df5d69b1d"> 330</a></span> <a class="code" href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead">BOOST_AUTO_TEST_CASE</a>(NetworkModification_SplitterMultiplication)</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> {</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="comment">// Adds an input layer and an input tensor descriptor.</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">AddInputLayer</a>(0, <span class="stringliteral">"input layer"</span>);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  BOOST_TEST(layer);</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="comment">// Adds a splitter layer.</span></div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a> splitterDesc(2,4);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> splitterLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a6f6d81d8a4f1f85f3616e8306760061c">AddSplitterLayer</a>(splitterDesc, <span class="stringliteral">"splitter layer"</span>);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  BOOST_TEST(splitterLayer);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="comment">// Adds a softmax layer 1.</span></div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a> softmaxDescriptor;</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> softmax1Layer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a">AddSoftmaxLayer</a>(softmaxDescriptor, <span class="stringliteral">"softmax_1"</span>);</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  BOOST_TEST(softmax1Layer);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> </div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(softmax1Layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="comment">// Adds a softmax layer 2.</span></div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> softmax2Layer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a">AddSoftmaxLayer</a>(softmaxDescriptor, <span class="stringliteral">"softmax_2"</span>);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  BOOST_TEST(softmax2Layer);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(1).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(softmax2Layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="comment">// Adds multiplication layer.</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  layer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#abb59f6ba9988dae88e0f48e68d87fc32">AddMultiplicationLayer</a>(<span class="stringliteral">"multiplication layer"</span>);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  BOOST_TEST(layer);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  softmax1Layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  softmax2Layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(1));</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="comment">// Adds an output layer.</span></div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* prevLayer = layer;</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  layer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">AddOutputLayer</a>(0, <span class="stringliteral">"output layer"</span>);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  BOOST_TEST(layer);</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  prevLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> }</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#ab3fb4bb4bb661f5a3376c01477feab7e"> 373</a></span> <a class="code" href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead">BOOST_AUTO_TEST_CASE</a>(Network_AddQuantize)</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> {</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keyword">struct </span>Test : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer_visitor_base.xhtml">armnn::LayerVisitorBase</a><armnn::VisitorNoThrowPolicy></div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  {</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer_visitor_base.xhtml#a8a6db421f0be147916cb4894ad3885d1">VisitQuantizeLayer</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)<span class="keyword"> override</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  m_Visited = <span class="keyword">true</span>;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> </div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  BOOST_TEST(layer);</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  std::string expectedName = std::string(<span class="stringliteral">"quantize"</span>);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  BOOST_TEST(std::string(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">GetName</a>()) == expectedName);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  BOOST_TEST(std::string(name) == expectedName);</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  BOOST_TEST(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == 1);</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  BOOST_TEST(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 1);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> </div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& infoIn = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  BOOST_TEST((infoIn.GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& infoOut = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  BOOST_TEST((infoOut.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>));</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordtype">bool</span> m_Visited = <span class="keyword">false</span>;</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  };</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">auto</span> graph = <a class="code" href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a>();</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">auto</span> input = graph->AddInputLayer(0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keyword">auto</span> quantize = graph->AddQuantizeLayer(<span class="stringliteral">"quantize"</span>);</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">auto</span> output = graph->AddOutputLayer(1, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> </div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  input->GetOutputSlot(0).Connect(quantize->GetInputSlot(0));</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  quantize->GetOutputSlot(0).Connect(output->GetInputSlot(0));</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> infoIn({3,1}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  input->GetOutputSlot(0).SetTensorInfo(infoIn);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> </div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> infoOut({3,1}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  quantize->GetOutputSlot(0).SetTensorInfo(infoOut);</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> </div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  Test testQuantize;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  graph->Accept(testQuantize);</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  BOOST_TEST(testQuantize.m_Visited == <span class="keyword">true</span>);</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> </div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> }</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div><div class="line"><a name="l00423"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#a461a49d720e9a66c5ad9149b55fa3cda"> 423</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(Network_AddMerge)</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> {</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">struct </span>Test : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer_visitor_base.xhtml">armnn::LayerVisitorBase</a><armnn::VisitorNoThrowPolicy></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  {</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer_visitor_base.xhtml#aafb62c879f0c78bfdc3c4e4f2cb82e68">VisitMergeLayer</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)<span class="keyword"> override</span></div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  m_Visited = <span class="keyword">true</span>;</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> </div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  BOOST_TEST(layer);</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  std::string expectedName = std::string(<span class="stringliteral">"merge"</span>);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  BOOST_TEST(std::string(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">GetName</a>()) == expectedName);</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  BOOST_TEST(std::string(name) == expectedName);</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  BOOST_TEST(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == 2);</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  BOOST_TEST(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 1);</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> </div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& infoIn0 = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  BOOST_TEST((infoIn0.GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& infoIn1 = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  BOOST_TEST((infoIn1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& infoOut = layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  BOOST_TEST((infoOut.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  }</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <span class="keywordtype">bool</span> m_Visited = <span class="keyword">false</span>;</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  };</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> </div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> network = <a class="code" href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a>();</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* input0 = network->AddInputLayer(0);</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* input1 = network->AddInputLayer(1);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* merge = network->AddMergeLayer(<span class="stringliteral">"merge"</span>);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* output = network->AddOutputLayer(0);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> </div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  input0-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(merge-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  input1-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(merge-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(1));</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  merge-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(output-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> </div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>({3,1}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  input0-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(info);</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  input1-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(info);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  merge-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(info);</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  Test testMerge;</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  network->Accept(testMerge);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  BOOST_TEST(testMerge.m_Visited == <span class="keyword">true</span>);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> }</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#a05568755da3721faea2a0d3439057a18"> 475</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(StandInLayerNetworkTest)</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> {</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="comment">// Create a simple network with a StandIn some place in it.</span></div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keyword">auto</span> input = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">AddInputLayer</a>(0);</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> </div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="comment">// Add some valid layer.</span></div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">auto</span> floor = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a435ea88480b8645026dd45fd692663a1">AddFloorLayer</a>(<span class="stringliteral">"Floor"</span>);</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="comment">// Add a standin layer</span></div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a> standInDescriptor;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> = 1;</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">m_NumOutputs</a> = 1;</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keyword">auto</span> standIn = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a74894d085e78ff80f45fc09dd2381f08">AddStandInLayer</a>(standInDescriptor, <span class="stringliteral">"StandIn"</span>);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> </div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="comment">// Finally the output.</span></div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keyword">auto</span> output = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">AddOutputLayer</a>(0);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span> </div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="comment">// Connect up the layers</span></div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  input-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(floor->GetInputSlot(0));</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> </div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  floor->GetOutputSlot(0).Connect(standIn->GetInputSlot(0));</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> </div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  standIn->GetOutputSlot(0).Connect(output->GetInputSlot(0));</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="comment">// Check that the layer is there.</span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"StandIn"</span>));</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="comment">// Check that it is connected as expected.</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  BOOST_TEST(input->GetOutputSlot(0).GetConnection(0) == &floor->GetInputSlot(0));</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  BOOST_TEST(floor->GetOutputSlot(0).GetConnection(0) == &standIn->GetInputSlot(0));</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  BOOST_TEST(standIn->GetOutputSlot(0).GetConnection(0) == &output->GetInputSlot(0));</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> }</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00508"></a><span class="lineno"><a class="line" href="_network_tests_8cpp.xhtml#aa776b872d63883bb92381c88b87a4460"> 508</a></span> <a class="code" href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">BOOST_AUTO_TEST_CASE</a>(StandInLayerSingleInputMultipleOutputsNetworkTest)</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> {</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="comment">// Another test with one input and two outputs on the StandIn layer.</span></div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="comment">// Create the input.</span></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keyword">auto</span> input = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">AddInputLayer</a>(0);</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span> </div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="comment">// Add a standin layer</span></div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a> standInDescriptor;</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> = 1;</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">m_NumOutputs</a> = 2;</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keyword">auto</span> standIn = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a74894d085e78ff80f45fc09dd2381f08">AddStandInLayer</a>(standInDescriptor, <span class="stringliteral">"StandIn"</span>);</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="comment">// Add two outputs.</span></div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keyword">auto</span> output0 = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">AddOutputLayer</a>(0);</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keyword">auto</span> output1 = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">AddOutputLayer</a>(1);</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span> </div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="comment">// Connect up the layers</span></div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  input-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(standIn->GetInputSlot(0));</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span> </div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="comment">// Connect the two outputs of the Standin to the two outputs.</span></div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  standIn->GetOutputSlot(0).Connect(output0->GetInputSlot(0));</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  standIn->GetOutputSlot(1).Connect(output1->GetInputSlot(0));</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> </div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="comment">// Check that the layer is there.</span></div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  BOOST_TEST(<a class="code" href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a>(net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>(), <span class="stringliteral">"StandIn"</span>));</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="comment">// Check that it is connected as expected.</span></div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  BOOST_TEST(input->GetOutputSlot(0).GetConnection(0) == &standIn->GetInputSlot(0));</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  BOOST_TEST(standIn->GetOutputSlot(0).GetConnection(0) == &output0->GetInputSlot(0));</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  BOOST_TEST(standIn->GetOutputSlot(1).GetConnection(0) == &output1->GetInputSlot(0));</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> }</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> </div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <a class="code" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="_output_shape_of_squeeze_8cpp_xhtml_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_ac2dac3b61c94de52093616be4ab17f8d"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">armnn::IConnectableLayer::GetNumOutputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumOutputSlots() const =0</div><div class="ttdoc">Returns the number of connectable output slots. </div></div>
<div class="ttc" id="classarmnn_1_1_layer_visitor_base_xhtml_aafb62c879f0c78bfdc3c4e4f2cb82e68"><div class="ttname"><a href="classarmnn_1_1_layer_visitor_base.xhtml#aafb62c879f0c78bfdc3c4e4f2cb82e68">armnn::LayerVisitorBase::VisitMergeLayer</a></div><div class="ttdeci">void VisitMergeLayer(const IConnectableLayer *, const char *) override</div><div class="ttdoc">Function that a merge layer should call back to when its Accept(ILayerVisitor&) function is invoked...</div><div class="ttdef"><b>Definition:</b> <a href="_layer_visitor_base_8hpp_source.xhtml#l00160">LayerVisitorBase.hpp:160</a></div></div>
<div class="ttc" id="structarmnn_1_1_views_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a></div><div class="ttdoc">A ViewsDescriptor for the SplitterLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00206">Descriptors.hpp:206</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00062">INetwork.hpp:62</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a9c2cba04b6d7ace4fc2a2436b82a5a63"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">armnn::IConnectableLayer::GetNumInputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumInputSlots() const =0</div><div class="ttdoc">Returns the number of connectable input slots. </div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_ae3ef3b97542241d331a38613ae189f3e"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ae3ef3b97542241d331a38613ae189f3e">armnn::NetworkImpl::AddFullyConnectedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFullyConnectedLayer(const FullyConnectedDescriptor &fullyConnectedDescriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01733">Network.cpp:1733</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_a39f1b38d89c4de186742eafcbb3b1319"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a39f1b38d89c4de186742eafcbb3b1319">armnn::NetworkImpl::AddAdditionLayer</a></div><div class="ttdeci">IConnectableLayer * AddAdditionLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01947">Network.cpp:1947</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_ae913b4351b7027f37eb5657dd7867733"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#ae913b4351b7027f37eb5657dd7867733">armnn::NetworkImpl::AddPooling2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling2dLayer(const Pooling2dDescriptor &pooling2dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01884">Network.cpp:1884</a></div></div>
<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00408">Descriptors.hpp:408</a></div></div>
<div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_guid_xhtml"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">armnn::profiling::ProfilingGuid</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00291">Types.hpp:291</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_a6c5376053e1f875776d7bc36fd0b7d45"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a6c5376053e1f875776d7bc36fd0b7d45">armnn::NetworkImpl::AddNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddNormalizationLayer(const NormalizationDescriptor &normalizationDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01902">Network.cpp:1902</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aff3fde909d22ed157046682e70129259">armnn::NetworkImpl::PrintGraph</a></div><div class="ttdeci">Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01676">Network.cpp:1676</a></div></div>
<div class="ttc" id="_graph_utils_8cpp_xhtml_ac73a43305233b7e5f70debdb2d14a8d3"><div class="ttname"><a href="_graph_utils_8cpp.xhtml#ac73a43305233b7e5f70debdb2d14a8d3">GraphHasNamedLayer</a></div><div class="ttdeci">bool GraphHasNamedLayer(const armnn::Graph &graph, const std::string &name)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8cpp_source.xhtml#l00010">GraphUtils.cpp:10</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_aa51350bdd4976f3dd5a4e9d00a906b2c"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aa51350bdd4976f3dd5a4e9d00a906b2c">armnn::NetworkImpl::AddActivationLayer</a></div><div class="ttdeci">IConnectableLayer * AddActivationLayer(const ActivationDescriptor &activationDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01890">Network.cpp:1890</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9fffb92dc6d2edd5258d574a5862fc83"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9fffb92dc6d2edd5258d574a5862fc83">armnn::IOutputSlot::GetConnection</a></div><div class="ttdeci">virtual const IInputSlot * GetConnection(unsigned int index) const =0</div></div>
<div class="ttc" id="classarmnn_1_1_layer_visitor_base_xhtml_a8a6db421f0be147916cb4894ad3885d1"><div class="ttname"><a href="classarmnn_1_1_layer_visitor_base.xhtml#a8a6db421f0be147916cb4894ad3885d1">armnn::LayerVisitorBase::VisitQuantizeLayer</a></div><div class="ttdeci">void VisitQuantizeLayer(const IConnectableLayer *, const char *) override</div><div class="ttdoc">Function a quantize layer should call back to when its Accept(ILayerVisitor&) function is invoked...</div><div class="ttdef"><b>Definition:</b> <a href="_layer_visitor_base_8hpp_source.xhtml#l00196">LayerVisitorBase.hpp:196</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a></div><div class="ttdoc">Private implementation of INetwork. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00031">Network.hpp:31</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a5ee4a6c9a2481245487b1b1a70d20fd0"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">armnn::IOutputSlot::SetTensorInfo</a></div><div class="ttdeci">virtual void SetTensorInfo(const TensorInfo &tensorInfo)=0</div></div>
<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_abb8a2d2bb8cc594c26aaa70c820ac5cc"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">armnn::StandInDescriptor::m_NumOutputs</a></div><div class="ttdeci">uint32_t m_NumOutputs</div><div class="ttdoc">Number of output tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01072">Descriptors.hpp:1072</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_a435ea88480b8645026dd45fd692663a1"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a435ea88480b8645026dd45fd692663a1">armnn::NetworkImpl::AddFloorLayer</a></div><div class="ttdeci">IConnectableLayer * AddFloorLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02054">Network.cpp:2054</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_abb59f6ba9988dae88e0f48e68d87fc32"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#abb59f6ba9988dae88e0f48e68d87fc32">armnn::NetworkImpl::AddMultiplicationLayer</a></div><div class="ttdeci">IConnectableLayer * AddMultiplicationLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01952">Network.cpp:1952</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_aa6c1c42ea44777302e87ce0fad5ac510"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aa6c1c42ea44777302e87ce0fad5ac510">armnn::NetworkImpl::AddInputLayer</a></div><div class="ttdeci">IConnectableLayer * AddInputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01682">Network.cpp:1682</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00194">Tensor.hpp:194</a></div></div>
<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00163">Descriptors.hpp:163</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_1_1_fully_connected_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.xhtml">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00389">Descriptors.hpp:389</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_afb5e65c770f6cee222db8af7581541a6"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#afb5e65c770f6cee222db8af7581541a6">armnn::IConnectableLayer::GetGuid</a></div><div class="ttdeci">virtual LayerGuid GetGuid() const =0</div><div class="ttdoc">Returns the unique id of the layer. </div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00314">Tensor.hpp:314</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_af5790069aa11fd1c5bb2e17cecb06528"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#af5790069aa11fd1c5bb2e17cecb06528">armnn::NetworkImpl::AddOutputLayer</a></div><div class="ttdeci">IConnectableLayer * AddOutputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01957">Network.cpp:1957</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_aea1059833739d3dccebb3a03ec35a1e6"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#aea1059833739d3dccebb3a03ec35a1e6">armnn::NetworkImpl::AddConcatLayer</a></div><div class="ttdeci">IConnectableLayer * AddConcatLayer(const ConcatDescriptor &concatDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01758">Network.cpp:1758</a></div></div>
<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a></div><div class="ttdoc">A StandInDescriptor for the StandIn layer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01054">Descriptors.hpp:1054</a></div></div>
<div class="ttc" id="_graph_utils_8hpp_xhtml"><div class="ttname"><a href="_graph_utils_8hpp.xhtml">GraphUtils.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a10d15f3df1ab52b3b915a4be1dbf386b"><div class="ttname"><a href="namespacearmnn.xhtml#a10d15f3df1ab52b3b915a4be1dbf386b">armnn::BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(CheckConvolution2dLayer)</div><div class="ttdef"><b>Definition:</b> <a href="_const_tensor_layer_visitor_8cpp_source.xhtml#l00268">ConstTensorLayerVisitor.cpp:268</a></div></div>
<div class="ttc" id="structarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00025">Descriptors.hpp:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_visitor_base_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_visitor_base.xhtml">armnn::LayerVisitorBase</a></div><div class="ttdoc">Visitor base class with empty implementations. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_visitor_base_8hpp_source.xhtml#l00025">LayerVisitorBase.hpp:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_a74894d085e78ff80f45fc09dd2381f08"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a74894d085e78ff80f45fc09dd2381f08">armnn::NetworkImpl::AddStandInLayer</a></div><div class="ttdeci">IConnectableLayer * AddStandInLayer(const StandInDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02313">Network.cpp:2313</a></div></div>
<div class="ttc" id="_profiler_tests_8cpp_xhtml_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
<div class="ttc" id="structarmnn_1_1_empty_optional_xhtml"><div class="ttname"><a href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00032">Optional.hpp:32</a></div></div>
<div class="ttc" id="_network_tests_8cpp_xhtml_a654a4d0b0a06a8a2bc64538e4c2b7ead"><div class="ttname"><a href="_network_tests_8cpp.xhtml#a654a4d0b0a06a8a2bc64538e4c2b7ead">BOOST_AUTO_TEST_CASE</a></div><div class="ttdeci">BOOST_AUTO_TEST_CASE(LayerGuids)</div><div class="ttdef"><b>Definition:</b> <a href="_network_tests_8cpp_source.xhtml#l00032">NetworkTests.cpp:32</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_a30528a3bd85a0dba158bd14e252bd68a"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a30528a3bd85a0dba158bd14e252bd68a">armnn::NetworkImpl::AddSoftmaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddSoftmaxLayer(const SoftmaxDescriptor &softmaxDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01914">Network.cpp:1914</a></div></div>
<div class="ttc" id="structarmnn_1_1_stand_in_descriptor_xhtml_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">armnn::StandInDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01070">Descriptors.hpp:1070</a></div></div>
<div class="ttc" id="_network_8hpp_xhtml"><div class="ttname"><a href="_network_8hpp.xhtml">Network.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_afe0a4f719f9752a405e71878da7012ba"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#afe0a4f719f9752a405e71878da7012ba">armnn::NetworkImpl::GetGraph</a></div><div class="ttdeci">const Graph & GetGraph() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.xhtml#l00037">Network.hpp:37</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot & GetInputSlot(unsigned int index) const =0</div><div class="ttdoc">Get a const input slot handle by slot index. </div></div>
<div class="ttc" id="classarmnn_1_1_i_input_slot_xhtml_a81fbf6103761e55061b62ba989b00f10"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">armnn::IInputSlot::GetConnection</a></div><div class="ttdeci">virtual const IOutputSlot * GetConnection() const =0</div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot & GetOutputSlot(unsigned int index) const =0</div><div class="ttdoc">Get the const output slot handle by slot index. </div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_aab97b09d9ee85a105883949abcae52f3"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#aab97b09d9ee85a105883949abcae52f3">armnn::IOutputSlot::GetNumConnections</a></div><div class="ttdeci">virtual unsigned int GetNumConnections() const =0</div></div>
<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_afcc1c3a20bd2860e0ddd21674389246f"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">armnn::IConnectableLayer::GetName</a></div><div class="ttdeci">virtual const char * GetName() const =0</div><div class="ttdoc">Returns the name of the layer. </div></div>
<div class="ttc" id="_layer_visitor_base_8hpp_xhtml"><div class="ttname"><a href="_layer_visitor_base_8hpp.xhtml">LayerVisitorBase.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00173">INetwork.hpp:173</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_a8f798e19187ac7ae6ae6153ee64ab645"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a8f798e19187ac7ae6ae6153ee64ab645">armnn::NetworkImpl::AddBatchNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchNormalizationLayer(const BatchNormalizationDescriptor &desc, const ConstTensor &mean, const ConstTensor &variance, const ConstTensor &beta, const ConstTensor &gamma, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01962">Network.cpp:1962</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &destination)=0</div></div>
<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00329">Descriptors.hpp:329</a></div></div>
<div class="ttc" id="structarmnn_1_1_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00567">Descriptors.hpp:567</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml_afdf8eb85585a798ad0e936bde884d87b"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml#afdf8eb85585a798ad0e936bde884d87b">armnn::Graph::GetNumLayers</a></div><div class="ttdeci">size_t GetNumLayers() const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00191">Graph.hpp:191</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_a178a72bbf254eff34a807a5ca27cb61f"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a178a72bbf254eff34a807a5ca27cb61f">armnn::NetworkImpl::AddConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution2dLayer(const Convolution2dDescriptor &convolution2dDescriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01786">Network.cpp:1786</a></div></div>
<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_a6f6d81d8a4f1f85f3616e8306760061c"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a6f6d81d8a4f1f85f3616e8306760061c">armnn::NetworkImpl::AddSplitterLayer</a></div><div class="ttdeci">IConnectableLayer * AddSplitterLayer(const ViewsDescriptor &splitterDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01920">Network.cpp:1920</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_xhtml_a464f0ff87b1aabf71febaa71321dd40b"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a464f0ff87b1aabf71febaa71321dd40b">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create(NetworkOptions networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00510">Network.cpp:510</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="structarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00626">Descriptors.hpp:626</a></div></div>
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