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+<a href="_comparison_end_to_end_test_impl_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_common_test_utils_8hpp.html">CommonTestUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.html">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_i_network_8hpp.html">armnn/INetwork.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;{</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnTypeInput&gt;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> CreateComparisonNetwork(<span class="keyword">const</span> std::vector&lt;TensorShape&gt;&amp; inputShapes,</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;                                    <span class="keyword">const</span> TensorShape&amp; outputShape,</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;                                    <a class="code" href="namespacearmnn.html#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> operation,</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;                                    <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f,</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;                                    <span class="keyword">const</span> int32_t qOffset = 0)</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;{</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> net(<a class="code" href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">INetwork::Create</a>());</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    <a class="code" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a> descriptor(operation);</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* comparisonLayer = net-&gt;AddComparisonLayer(descriptor, <span class="stringliteral">&quot;comparison&quot;</span>);</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; inputShapes.size(); ++i)</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    {</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo(inputShapes[i], ArmnnTypeInput, qScale, qOffset);</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;        <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* input = net-&gt;AddInputLayer(boost::numeric_cast&lt;LayerBindingId&gt;(i));</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;        <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(input, comparisonLayer, inputTensorInfo, 0, i);</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    }</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>, qScale, qOffset);</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* output = net-&gt;AddOutputLayer(0, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    <a class="code" href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a>(comparisonLayer, output, outputTensorInfo, 0, 0);</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keywordflow">return</span> net;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;}</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="keyword">template</span>&lt;<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnInType,</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;         <span class="keyword">typename</span> TInput = <a class="code" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;ArmnnInType&gt;</a>&gt;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="keywordtype">void</span> ComparisonSimpleEndToEnd(<span class="keyword">const</span> std::vector&lt;BackendId&gt;&amp; backends,</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;                              <a class="code" href="namespacearmnn.html#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> operation,</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;                              <span class="keyword">const</span> std::vector&lt;uint8_t&gt; expectedOutput)</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;{</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="keyword">const</span> std::vector&lt;TensorShape&gt; inputShapes{{ 2, 2, 2, 2 }, { 2, 2, 2, 2 }};</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; outputShape = { 2, 2, 2, 2 };</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <span class="comment">// Builds up the structure of the network</span></div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> net = CreateComparisonNetwork&lt;ArmnnInType&gt;(inputShapes, outputShape, operation);</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    BOOST_TEST_CHECKPOINT(<span class="stringliteral">&quot;create a network&quot;</span>);</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="keyword">const</span> std::vector&lt;TInput&gt; input0({ 1, 1, 1, 1,  5, 5, 5, 5,</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;                                       3, 3, 3, 3,  4, 4, 4, 4 });</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="keyword">const</span> std::vector&lt;TInput&gt; input1({ 1, 1, 1, 1,  3, 3, 3, 3,</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;                                       5, 5, 5, 5,  4, 4, 4, 4 });</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    std::map&lt;int, std::vector&lt;TInput&gt;&gt;  inputTensorData    = {{ 0, input0 }, { 1, input1 }};</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    std::map&lt;int, std::vector&lt;uint8_t&gt;&gt; expectedOutputData = {{ 0, expectedOutput }};</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    EndToEndLayerTestImpl&lt;ArmnnInType, DataType::Boolean&gt;(move(net), inputTensorData, expectedOutputData, backends);</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;}</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="keyword">template</span>&lt;<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnInType,</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;         <span class="keyword">typename</span> TInput = <a class="code" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType&lt;ArmnnInType&gt;</a>&gt;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="keywordtype">void</span> ComparisonBroadcastEndToEnd(<span class="keyword">const</span> std::vector&lt;BackendId&gt;&amp; backends,</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                                 <a class="code" href="namespacearmnn.html#a2d299363c9fc33334c571fa29ca4f58c">ComparisonOperation</a> operation,</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;                                 <span class="keyword">const</span> std::vector&lt;uint8_t&gt; expectedOutput)</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;{</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <span class="keyword">const</span> std::vector&lt;TensorShape&gt; inputShapes{{ 1, 2, 2, 3 }, { 1, 1, 1, 3 }};</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; outputShape = { 1, 2, 2, 3 };</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="comment">// Builds up the structure of the network</span></div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> net = CreateComparisonNetwork&lt;ArmnnInType&gt;(inputShapes, outputShape, operation);</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    BOOST_TEST_CHECKPOINT(<span class="stringliteral">&quot;create a network&quot;</span>);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <span class="keyword">const</span> std::vector&lt;TInput&gt; input0({ 1, 2, 3, 1, 0, 6,</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;                                       7, 8, 9, 10, 11, 12 });</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    <span class="keyword">const</span> std::vector&lt;TInput&gt; input1({ 1, 1, 3 });</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    std::map&lt;int, std::vector&lt;TInput&gt;&gt;  inputTensorData    = {{ 0, input0 }, { 1, input1 }};</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    std::map&lt;int, std::vector&lt;uint8_t&gt;&gt; expectedOutputData = {{ 0, expectedOutput }};</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    EndToEndLayerTestImpl&lt;ArmnnInType, DataType::Boolean&gt;(move(net), inputTensorData, expectedOutputData, backends);</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;}</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;} <span class="comment">// anonymous namespace</span></div><div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a0743ed5e860c316a20b68ca96301b411"><div class="ttname"><a href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a></div><div class="ttdeci">typename ResolveTypeImpl&lt; DT &gt;::Type ResolveType</div><div class="ttdef"><b>Definition:</b> <a href="_resolve_type_8hpp_source.html#l00066">ResolveType.hpp:66</a></div></div>
+<div class="ttc" id="_resolve_type_8hpp_html"><div class="ttname"><a href="_resolve_type_8hpp.html">ResolveType.hpp</a></div></div>
+<div class="ttc" id="_common_test_utils_8hpp_html"><div class="ttname"><a href="_common_test_utils_8hpp.html">CommonTestUtils.hpp</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a2d299363c9fc33334c571fa29ca4f58c"><div class="ttname"><a href="namespacearmnn.html#a2d299363c9fc33334c571fa29ca4f58c">armnn::ComparisonOperation</a></div><div class="ttdeci">ComparisonOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00074">Types.hpp:74</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_network_html_a706f7345af3f18f4b16e226a672214c6"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a706f7345af3f18f4b16e226a672214c6">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00048">Network.cpp:48</a></div></div>
+<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; INetwork, void(*)(INetwork *network)&gt; INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00085">INetwork.hpp:85</a></div></div>
+<div class="ttc" id="_test_utils_8cpp_html_a0b295acb179f15eb3fb862b32008f782"><div class="ttname"><a href="_test_utils_8cpp.html#a0b295acb179f15eb3fb862b32008f782">Connect</a></div><div class="ttdeci">void Connect(armnn::IConnectableLayer *from, armnn::IConnectableLayer *to, const armnn::TensorInfo &amp;tensorInfo, unsigned int fromIndex, unsigned int toIndex)</div><div class="ttdef"><b>Definition:</b> <a href="_test_utils_8cpp_source.html#l00012">TestUtils.cpp:12</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">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.html#l00061">INetwork.hpp:61</a></div></div>
+<div class="ttc" id="structarmnn_1_1_comparison_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.html">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00062">Descriptors.hpp:62</a></div></div>
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