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| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-08 20:01:38 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-03-09 12:26:14 +0000 |
| commit | f4019872c1134c6fcc1d6993e5746f55c1e79208 (patch) | |
| tree | b07ea8bdd70d696adfa3814344e210ea67be1e8c /22.02/_network_tests_8cpp.xhtml | |
| parent | 0d75c02b21b919b81035205f3914ee273b93b30c (diff) | |
| download | armnn-f4019872c1134c6fcc1d6993e5746f55c1e79208.tar.gz | |
IVGCVSW-6819 Fix the directory structure and broken link to latest docu
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I05b559d15faf92c76ff536719693b361316be4f3
Diffstat (limited to '22.02/_network_tests_8cpp.xhtml')
| -rw-r--r-- | 22.02/_network_tests_8cpp.xhtml | 230 |
1 files changed, 230 insertions, 0 deletions
diff --git a/22.02/_network_tests_8cpp.xhtml b/22.02/_network_tests_8cpp.xhtml new file mode 100644 index 0000000000..7916aea545 --- /dev/null +++ b/22.02/_network_tests_8cpp.xhtml @@ -0,0 +1,230 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/armnn/test/NetworkTests.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> 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remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div 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+</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include <<a class="el" href="test_2_graph_utils_8hpp_source.xhtml">GraphUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_layer_visitor_base_8hpp_source.xhtml">armnn/LayerVisitorBase.hpp</a>></code><br /> +<code>#include <<a class="el" href="_network_8hpp_source.xhtml">Network.hpp</a>></code><br /> +<code>#include <doctest/doctest.h></code><br /> +</div> +<p><a href="_network_tests_8cpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a7d3b66e70c2891a6c725e0955301a19a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_network_tests_8cpp.xhtml#a7d3b66e70c2891a6c725e0955301a19a">TEST_SUITE</a> ("Network")</td></tr> +<tr class="separator:a7d3b66e70c2891a6c725e0955301a19a"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a7d3b66e70c2891a6c725e0955301a19a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7d3b66e70c2891a6c725e0955301a19a">◆ </a></span>TEST_SUITE()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">TEST_SUITE </td> + <td>(</td> + <td class="paramtype">"Network" </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_network_tests_8cpp_source.xhtml#l00030">30</a> of file <a class="el" href="_network_tests_8cpp_source.xhtml">NetworkTests.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_network_8cpp_source.xhtml#l02119">NetworkImpl::AddActivationLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02165">NetworkImpl::AddAdditionLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02180">NetworkImpl::AddBatchNormalizationLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l01994">NetworkImpl::AddConcatLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02236">NetworkImpl::AddConstantLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02022">NetworkImpl::AddConvolution2dLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02263">NetworkImpl::AddFloorLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l01912">NetworkImpl::AddFullyConnectedLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l01873">NetworkImpl::AddInputLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02170">NetworkImpl::AddMultiplicationLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02131">NetworkImpl::AddNormalizationLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02175">NetworkImpl::AddOutputLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02107">NetworkImpl::AddPooling2dLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02143">NetworkImpl::AddSoftmaxLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02149">NetworkImpl::AddSplitterLayer()</a>, <a class="el" href="_network_8cpp_source.xhtml#l02501">NetworkImpl::AddStandInLayer()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00492">INetwork::Create()</a>, <a class="el" href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">IStrategy::ExecuteStrategy()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">IInputSlot::GetConnection()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9fffb92dc6d2edd5258d574a5862fc83">IOutputSlot::GetConnection()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_network_8hpp_source.xhtml#l00037">NetworkImpl::GetGraph()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#afb5e65c770f6cee222db8af7581541a6">IConnectableLayer::GetGuid()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">IConnectableLayer::GetName()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#aab97b09d9ee85a105883949abcae52f3">IOutputSlot::GetNumConnections()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">IConnectableLayer::GetNumInputSlots()</a>, <a class="el" href="_graph_8hpp_source.xhtml#l00196">Graph::GetNumLayers()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">IConnectableLayer::GetNumOutputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a7ce723f9ed0cba4430ec1fc11daa4ce9">IConnectableLayer::GetParameters()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">IConnectableLayer::GetType()</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00010">GraphHasNamedLayer()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00024">BaseDescriptor::IsNull()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00545">Convolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00547">Convolution2dDescriptor::m_DataLayout</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00541">Convolution2dDescriptor::m_DilationX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00543">Convolution2dDescriptor::m_DilationY</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01249">StandInDescriptor::m_NumInputs</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01251">StandInDescriptor::m_NumOutputs</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00535">Convolution2dDescriptor::m_PadBottom</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00529">Convolution2dDescriptor::m_PadLeft</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00531">Convolution2dDescriptor::m_PadRight</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00533">Convolution2dDescriptor::m_PadTop</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00537">Convolution2dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00539">Convolution2dDescriptor::m_StrideY</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::Merge</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, <a class="el" href="_network_8cpp_source.xhtml#l01867">NetworkImpl::PrintGraph()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::Quantize</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>, and <a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Success</a>.</p> +<div class="fragment"><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> TEST_CASE(<span class="stringliteral">"LayerGuids"</span>)</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="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">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="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">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="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">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>  CHECK(inputId != addId);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  CHECK(addId != outputId);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  CHECK(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"> 44</span> TEST_CASE(<span class="stringliteral">"NetworkBasic"</span>)</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>  CHECK(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"> 50</span> TEST_CASE(<span class="stringliteral">"LayerNamesAreOptionalForINetwork"</span>)</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"> 59</span> TEST_CASE(<span class="stringliteral">"LayerNamesAreOptionalForNetwork"</span>)</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"> 68</span> TEST_CASE(<span class="stringliteral">"NetworkModification"</span>)</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>  CHECK(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>, 0.0f, 0, <span class="keyword">true</span>), 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>  CHECK(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> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">// Constant layer that now holds weights data for FullyConnected</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> constantWeightsLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a1aa567f46c30960851c02847dc7b4215">AddConstantLayer</a>(weights, <span class="stringliteral">"const weights"</span>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</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#a471991a84030eb3ae601da2bee757870">AddFullyConnectedLayer</a>(fullyConnectedDesc,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="stringliteral">"fully connected"</span>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  CHECK(constantWeightsLayer);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  CHECK(fullyConnectedLayer);</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>  constantWeightsLayer-><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>(1));</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</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="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a> pooling2dDesc;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</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="l00102"></a><span class="lineno"> 102</span>  CHECK(poolingLayer);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</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="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a> activationDesc;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</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="l00108"></a><span class="lineno"> 108</span>  CHECK(activationLayer);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</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="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="structarmnn_1_1_normalization_descriptor.xhtml">armnn::NormalizationDescriptor</a> normalizationDesc;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</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="l00114"></a><span class="lineno"> 114</span>  CHECK(normalizationLayer);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</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="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a> softmaxDesc;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</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="l00120"></a><span class="lineno"> 120</span>  CHECK(softmaxLayer);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</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="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a> batchNormDesc;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</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>, 0.0f, 0, <span class="keyword">true</span>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  std::vector<float> data(tensorInfo.GetNumBytes() / <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> invalidTensor(tensorInfo, data);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</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="l00131"></a><span class="lineno"> 131</span>  invalidTensor,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  invalidTensor,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  invalidTensor,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  invalidTensor,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="stringliteral">"batch norm"</span>);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  CHECK(batchNormalizationLayer);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</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="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</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="l00141"></a><span class="lineno"> 141</span>  CHECK(additionLayer);</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>  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="l00144"></a><span class="lineno"> 144</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="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</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="l00147"></a><span class="lineno"> 147</span>  CHECK(multiplicationLayer);</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>  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="l00150"></a><span class="lineno"> 150</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="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</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="l00153"></a><span class="lineno"> 153</span>  CHECK(outputLayer);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</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="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 all layers are present in the graph.</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  CHECK(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>() == 12);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="comment">//Tests that the vertices exist and have correct names.</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  CHECK(<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="l00162"></a><span class="lineno"> 162</span>  CHECK(<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="l00163"></a><span class="lineno"> 163</span>  CHECK(<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">"const weights"</span>));</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  CHECK(<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="l00165"></a><span class="lineno"> 165</span>  CHECK(<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="l00166"></a><span class="lineno"> 166</span>  CHECK(<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="l00167"></a><span class="lineno"> 167</span>  CHECK(<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="l00168"></a><span class="lineno"> 168</span>  CHECK(<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="l00169"></a><span class="lineno"> 169</span>  CHECK(<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="l00170"></a><span class="lineno"> 170</span>  CHECK(<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="l00171"></a><span class="lineno"> 171</span>  CHECK(<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="l00172"></a><span class="lineno"> 172</span>  CHECK(<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="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">auto</span> checkOneOutputToOneInputConnection = []</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</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="l00176"></a><span class="lineno"> 176</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="l00177"></a><span class="lineno"> 177</span>  <span class="keywordtype">int</span> expectedSrcNumInputs = 1,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordtype">int</span> expectedDstNumOutputs = 1)</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  {</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  CHECK(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == expectedSrcNumInputs);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  CHECK(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 1);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  CHECK(tgtLayer->GetNumInputSlots() == 1);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  CHECK(tgtLayer->GetNumOutputSlots() == expectedDstNumOutputs);</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>  CHECK(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="l00186"></a><span class="lineno"> 186</span>  CHECK(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="l00187"></a><span class="lineno"> 187</span>  CHECK(&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="l00188"></a><span class="lineno"> 188</span>  };</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">auto</span> checkOneOutputToTwoInputsConnections = []</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</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="l00191"></a><span class="lineno"> 191</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="l00192"></a><span class="lineno"> 192</span>  <span class="keywordtype">int</span> expectedSrcNumInputs,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordtype">int</span> expectedDstNumOutputs = 1)</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  {</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  CHECK(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == expectedSrcNumInputs);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  CHECK(srcLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 1);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  CHECK(tgtLayer->GetNumInputSlots() == 2);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  CHECK(tgtLayer->GetNumOutputSlots() == expectedDstNumOutputs);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  CHECK(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="l00201"></a><span class="lineno"> 201</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="l00202"></a><span class="lineno"> 202</span>  {</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  CHECK(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="l00204"></a><span class="lineno"> 204</span>  CHECK(&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="l00205"></a><span class="lineno"> 205</span>  }</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  };</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">auto</span> checkOneOutputToTwoInputConnectionForTwoDifferentLayers = []</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</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> srcLayer1,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</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> srcLayer2,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</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="l00211"></a><span class="lineno"> 211</span>  <span class="keywordtype">int</span> expectedSrcNumInputs1 = 1,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordtype">int</span> expectedSrcNumInputs2 = 1,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordtype">int</span> expectedDstNumOutputs = 1)</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>  CHECK(srcLayer1-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == expectedSrcNumInputs1);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  CHECK(srcLayer1-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 1);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  CHECK(srcLayer2->GetNumInputSlots() == expectedSrcNumInputs2);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  CHECK(srcLayer2->GetNumOutputSlots() == 1);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  CHECK(tgtLayer->GetNumInputSlots() == 2);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  CHECK(tgtLayer->GetNumOutputSlots() == expectedDstNumOutputs);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  CHECK(srcLayer1-><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="l00223"></a><span class="lineno"> 223</span>  CHECK(srcLayer2->GetOutputSlot(0).GetNumConnections() == 1);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  CHECK(srcLayer1-><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="l00225"></a><span class="lineno"> 225</span>  CHECK(srcLayer2->GetOutputSlot(0).GetConnection(0) == &tgtLayer->GetInputSlot(1));</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  CHECK(&srcLayer1-><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="l00227"></a><span class="lineno"> 227</span>  CHECK(&srcLayer2->GetOutputSlot(0) == tgtLayer->GetInputSlot(1).GetConnection());</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  };</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>  CHECK(AreAllLayerInputSlotsConnected(*convLayer));</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  CHECK(AreAllLayerInputSlotsConnected(*fullyConnectedLayer));</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  CHECK(AreAllLayerInputSlotsConnected(*poolingLayer));</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  CHECK(AreAllLayerInputSlotsConnected(*activationLayer));</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  CHECK(AreAllLayerInputSlotsConnected(*normalizationLayer));</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  CHECK(AreAllLayerInputSlotsConnected(*softmaxLayer));</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  CHECK(AreAllLayerInputSlotsConnected(*batchNormalizationLayer));</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  CHECK(AreAllLayerInputSlotsConnected(*additionLayer));</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  CHECK(AreAllLayerInputSlotsConnected(*multiplicationLayer));</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  CHECK(AreAllLayerInputSlotsConnected(*outputLayer));</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="comment">// Checks connectivity.</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  checkOneOutputToOneInputConnection(inputLayer, convLayer, 0);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  checkOneOutputToTwoInputConnectionForTwoDifferentLayers(convLayer, constantWeightsLayer, fullyConnectedLayer, 1, 0);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  checkOneOutputToOneInputConnection(fullyConnectedLayer, poolingLayer, 2, 1);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  checkOneOutputToOneInputConnection(poolingLayer, activationLayer);</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  checkOneOutputToOneInputConnection(activationLayer, normalizationLayer);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  checkOneOutputToOneInputConnection(normalizationLayer, softmaxLayer);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  checkOneOutputToOneInputConnection(softmaxLayer, batchNormalizationLayer);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  checkOneOutputToTwoInputsConnections(batchNormalizationLayer, additionLayer, 1);</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  checkOneOutputToTwoInputsConnections(additionLayer, multiplicationLayer, 2);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  checkOneOutputToOneInputConnection(multiplicationLayer, outputLayer, 2, 0);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> }</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> TEST_CASE(<span class="stringliteral">"NetworkModification_SplitterConcat"</span>)</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="comment">// Adds an input layer and an input tensor descriptor.</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</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="l00260"></a><span class="lineno"> 260</span>  CHECK(inputLayer);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// Adds a splitter layer.</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a> splitterDesc(2,4);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</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="l00266"></a><span class="lineno"> 266</span>  CHECK(splitterLayer);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00268"></a><span class="lineno"> 268</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="l00269"></a><span class="lineno"> 269</span> </div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="comment">// Adds a softmax layer 1.</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a> softmaxDescriptor;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</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="l00273"></a><span class="lineno"> 273</span>  CHECK(softmaxLayer1);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div><div class="line"><a name="l00275"></a><span class="lineno"> 275</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="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="comment">// Adds a softmax layer 2.</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</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="l00279"></a><span class="lineno"> 279</span>  CHECK(softmaxLayer2);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div><div class="line"><a name="l00281"></a><span class="lineno"> 281</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="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="comment">// Adds a concat layer.</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a> concatDesc(2, 4);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div><div class="line"><a name="l00286"></a><span class="lineno"> 286</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="l00287"></a><span class="lineno"> 287</span>  CHECK(concatLayer);</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>  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="l00290"></a><span class="lineno"> 290</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="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="comment">// Adds an output layer.</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</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="l00294"></a><span class="lineno"> 294</span>  CHECK(outputLayer);</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>  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="l00297"></a><span class="lineno"> 297</span> </div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  CHECK(splitterLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 2);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  CHECK(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="l00300"></a><span class="lineno"> 300</span>  CHECK(&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="l00301"></a><span class="lineno"> 301</span>  CHECK(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="l00302"></a><span class="lineno"> 302</span>  CHECK(&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="l00303"></a><span class="lineno"> 303</span> </div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  CHECK(concatLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == 2);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  CHECK(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="l00306"></a><span class="lineno"> 306</span>  CHECK(&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="l00307"></a><span class="lineno"> 307</span>  CHECK(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="l00308"></a><span class="lineno"> 308</span>  CHECK(&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="l00309"></a><span class="lineno"> 309</span> }</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> TEST_CASE(<span class="stringliteral">"NetworkModification_SplitterAddition"</span>)</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> {</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="comment">// Adds an input layer and an input tensor descriptor.</span></div><div class="line"><a name="l00316"></a><span class="lineno"> 316</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="l00317"></a><span class="lineno"> 317</span>  CHECK(layer);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="comment">// Adds a splitter layer.</span></div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a> splitterDesc(2,4);</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</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>* <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="l00323"></a><span class="lineno"> 323</span>  CHECK(splitterLayer);</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>  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="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="comment">// Adds a softmax layer 1.</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a> softmaxDescriptor;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</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="l00330"></a><span class="lineno"> 330</span>  CHECK(softmax1Layer);</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>  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="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="comment">// Adds a softmax layer 2.</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>* <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="l00336"></a><span class="lineno"> 336</span>  CHECK(softmax2Layer);</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>  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="l00339"></a><span class="lineno"> 339</span> </div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="comment">// Adds addition layer.</span></div><div class="line"><a name="l00341"></a><span class="lineno"> 341</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="l00342"></a><span class="lineno"> 342</span>  CHECK(layer);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div><div class="line"><a name="l00344"></a><span class="lineno"> 344</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="l00345"></a><span class="lineno"> 345</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="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="comment">// Adds an output layer.</span></div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* prevLayer = layer;</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</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="l00350"></a><span class="lineno"> 350</span> </div><div class="line"><a name="l00351"></a><span class="lineno"> 351</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="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  CHECK(layer);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> }</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> TEST_CASE(<span class="stringliteral">"NetworkModification_SplitterMultiplication"</span>)</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>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="comment">// Adds an input layer and an input tensor descriptor.</span></div><div class="line"><a name="l00361"></a><span class="lineno"> 361</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="l00362"></a><span class="lineno"> 362</span>  CHECK(layer);</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="comment">// Adds a splitter layer.</span></div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <a class="code" href="structarmnn_1_1_views_descriptor.xhtml">armnn::ViewsDescriptor</a> splitterDesc(2,4);</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>* <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="l00367"></a><span class="lineno"> 367</span>  CHECK(splitterLayer);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div><div class="line"><a name="l00369"></a><span class="lineno"> 369</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="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="comment">// Adds a softmax layer 1.</span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <a class="code" href="structarmnn_1_1_softmax_descriptor.xhtml">armnn::SoftmaxDescriptor</a> softmaxDescriptor;</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</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="l00374"></a><span class="lineno"> 374</span>  CHECK(softmax1Layer);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> </div><div class="line"><a name="l00376"></a><span class="lineno"> 376</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="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="comment">// Adds a softmax layer 2.</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</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="l00380"></a><span class="lineno"> 380</span>  CHECK(softmax2Layer);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> </div><div class="line"><a name="l00382"></a><span class="lineno"> 382</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="l00383"></a><span class="lineno"> 383</span> </div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="comment">// Adds multiplication layer.</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</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="l00386"></a><span class="lineno"> 386</span>  CHECK(layer);</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span> </div><div class="line"><a name="l00388"></a><span class="lineno"> 388</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="l00389"></a><span class="lineno"> 389</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="l00390"></a><span class="lineno"> 390</span> </div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="comment">// Adds an output layer.</span></div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* prevLayer = layer;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</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="l00394"></a><span class="lineno"> 394</span>  CHECK(layer);</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>  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="l00397"></a><span class="lineno"> 397</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> TEST_CASE(<span class="stringliteral">"Network_AddQuantize"</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">struct </span>Test : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_i_strategy.xhtml">armnn::IStrategy</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="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">ExecuteStrategy</a>(<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="l00404"></a><span class="lineno"> 404</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a>& descriptor,</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name,</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span> = 0)<span class="keyword"> override</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(descriptor, constants, <span class="keywordtype">id</span>);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">switch</span> (layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">GetType</a>())</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a>: <span class="keywordflow">break</span>;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a>: <span class="keywordflow">break</span>;</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a>:</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>  m_Visited = <span class="keyword">true</span>;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  CHECK(layer);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  std::string expectedName = std::string(<span class="stringliteral">"quantize"</span>);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  CHECK(std::string(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">GetName</a>()) == expectedName);</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  CHECK(std::string(name) == expectedName);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  CHECK(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == 1);</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  CHECK(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 1);</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="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="l00428"></a><span class="lineno"> 428</span>  CHECK((infoIn.GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> </div><div class="line"><a name="l00430"></a><span class="lineno"> 430</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="l00431"></a><span class="lineno"> 431</span>  CHECK((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="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  }</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  {</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="comment">// nothing</span></div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  }</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> </div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordtype">bool</span> m_Visited = <span class="keyword">false</span>;</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> </div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span> </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</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="l00446"></a><span class="lineno"> 446</span> </div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keyword">auto</span> input = graph->AddInputLayer(0, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keyword">auto</span> quantize = graph->AddQuantizeLayer(<span class="stringliteral">"quantize"</span>);</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keyword">auto</span> output = graph->AddOutputLayer(1, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> </div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  input->GetOutputSlot(0).Connect(quantize->GetInputSlot(0));</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  quantize->GetOutputSlot(0).Connect(output->GetInputSlot(0));</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00454"></a><span class="lineno"> 454</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="l00455"></a><span class="lineno"> 455</span>  input->GetOutputSlot(0).SetTensorInfo(infoIn);</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> </div><div class="line"><a name="l00457"></a><span class="lineno"> 457</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="l00458"></a><span class="lineno"> 458</span>  quantize->GetOutputSlot(0).SetTensorInfo(infoOut);</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>  Test testQuantize;</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  graph->ExecuteStrategy(testQuantize);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> </div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  CHECK(testQuantize.m_Visited == <span class="keyword">true</span>);</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> }</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> </div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> TEST_CASE(<span class="stringliteral">"Network_AddMerge"</span>)</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>  <span class="keyword">struct </span>Test : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_i_strategy.xhtml">armnn::IStrategy</a></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  {</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">ExecuteStrategy</a>(<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="l00472"></a><span class="lineno"> 472</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a>& descriptor,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keyword">const</span> std::vector<armnn::ConstTensor>& constants,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span> = 0)<span class="keyword"> override</span></div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(descriptor, constants, <span class="keywordtype">id</span>);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">switch</span> (layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">GetType</a>())</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  {</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a>: <span class="keywordflow">break</span>;</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a>: <span class="keywordflow">break</span>;</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</a>:</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>  m_Visited = <span class="keyword">true</span>;</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> </div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  CHECK(layer);</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> </div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  std::string expectedName = std::string(<span class="stringliteral">"merge"</span>);</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  CHECK(std::string(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">GetName</a>()) == expectedName);</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  CHECK(std::string(name) == expectedName);</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> </div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  CHECK(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == 2);</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  CHECK(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 1);</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> </div><div class="line"><a name="l00495"></a><span class="lineno"> 495</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="l00496"></a><span class="lineno"> 496</span>  CHECK((infoIn0.GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>));</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>  <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="l00499"></a><span class="lineno"> 499</span>  CHECK((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="l00500"></a><span class="lineno"> 500</span> </div><div class="line"><a name="l00501"></a><span class="lineno"> 501</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="l00502"></a><span class="lineno"> 502</span>  CHECK((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="l00503"></a><span class="lineno"> 503</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  }</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">default</span>:</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>  <span class="comment">// nothing</span></div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  }</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>  }</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> </div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keywordtype">bool</span> m_Visited = <span class="keyword">false</span>;</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  };</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span> </div><div class="line"><a name="l00515"></a><span class="lineno"> 515</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="l00516"></a><span class="lineno"> 516</span> </div><div class="line"><a name="l00517"></a><span class="lineno"> 517</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="l00518"></a><span class="lineno"> 518</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="l00519"></a><span class="lineno"> 519</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="l00520"></a><span class="lineno"> 520</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="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00522"></a><span class="lineno"> 522</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="l00523"></a><span class="lineno"> 523</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="l00524"></a><span class="lineno"> 524</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="l00525"></a><span class="lineno"> 525</span> </div><div class="line"><a name="l00526"></a><span class="lineno"> 526</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="l00527"></a><span class="lineno"> 527</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="l00528"></a><span class="lineno"> 528</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="l00529"></a><span class="lineno"> 529</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="l00530"></a><span class="lineno"> 530</span> </div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  Test testMerge;</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  network->ExecuteStrategy(testMerge);</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> </div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  CHECK(testMerge.m_Visited == <span class="keyword">true</span>);</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> }</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> </div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> TEST_CASE(<span class="stringliteral">"StandInLayerNetworkTest"</span>)</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> {</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="comment">// Create a simple network with a StandIn some place in it.</span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</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="l00542"></a><span class="lineno"> 542</span> </div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="comment">// Add some valid layer.</span></div><div class="line"><a name="l00544"></a><span class="lineno"> 544</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="l00545"></a><span class="lineno"> 545</span> </div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="comment">// Add a standin layer</span></div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a> standInDescriptor;</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> = 1;</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">m_NumOutputs</a> = 1;</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</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="l00551"></a><span class="lineno"> 551</span> </div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="comment">// Finally the output.</span></div><div class="line"><a name="l00553"></a><span class="lineno"> 553</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="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="comment">// Connect up the layers</span></div><div class="line"><a name="l00556"></a><span class="lineno"> 556</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="l00557"></a><span class="lineno"> 557</span> </div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  floor->GetOutputSlot(0).Connect(standIn->GetInputSlot(0));</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> </div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  standIn->GetOutputSlot(0).Connect(output-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> </div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="comment">// Check that the layer is there.</span></div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  CHECK(<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="l00564"></a><span class="lineno"> 564</span>  <span class="comment">// Check that it is connected as expected.</span></div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  CHECK(input->GetOutputSlot(0).GetConnection(0) == &floor->GetInputSlot(0));</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  CHECK(floor->GetOutputSlot(0).GetConnection(0) == &standIn->GetInputSlot(0));</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  CHECK(standIn->GetOutputSlot(0).GetConnection(0) == &output-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> }</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> </div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span> TEST_CASE(<span class="stringliteral">"StandInLayerSingleInputMultipleOutputsNetworkTest"</span>)</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> {</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="comment">// Another test with one input and two outputs on the StandIn layer.</span></div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="comment">// Create the input.</span></div><div class="line"><a name="l00576"></a><span class="lineno"> 576</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="l00577"></a><span class="lineno"> 577</span> </div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="comment">// Add a standin layer</span></div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml">armnn::StandInDescriptor</a> standInDescriptor;</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> = 1;</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  standInDescriptor.<a class="code" href="structarmnn_1_1_stand_in_descriptor.xhtml#abb8a2d2bb8cc594c26aaa70c820ac5cc">m_NumOutputs</a> = 2;</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</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="l00583"></a><span class="lineno"> 583</span> </div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="comment">// Add two outputs.</span></div><div class="line"><a name="l00585"></a><span class="lineno"> 585</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="l00586"></a><span class="lineno"> 586</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="l00587"></a><span class="lineno"> 587</span> </div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="comment">// Connect up the layers</span></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</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="l00590"></a><span class="lineno"> 590</span> </div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="comment">// Connect the two outputs of the Standin to the two outputs.</span></div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  standIn->GetOutputSlot(0).Connect(output0->GetInputSlot(0));</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  standIn->GetOutputSlot(1).Connect(output1->GetInputSlot(0));</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="comment">// Check that the layer is there.</span></div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  CHECK(<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="l00597"></a><span class="lineno"> 597</span>  <span class="comment">// Check that it is connected as expected.</span></div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  CHECK(input->GetOutputSlot(0).GetConnection(0) == &standIn->GetInputSlot(0));</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  CHECK(standIn->GetOutputSlot(0).GetConnection(0) == &output0->GetInputSlot(0));</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  CHECK(standIn->GetOutputSlot(1).GetConnection(0) == &output1->GetInputSlot(0));</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> }</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span> </div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> TEST_CASE(<span class="stringliteral">"ObtainConv2DDescriptorFromIConnectableLayer"</span>)</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span> {</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span> </div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dims[] = { 10,1,1,1 };</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  std::vector<float> convWeightsData(10);</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</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>, 0.0f, 0, <span class="keyword">true</span>), convWeightsData);</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span> </div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a> convDesc2d;</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  convDesc2d.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> = 2;</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  convDesc2d.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a> = 3;</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  convDesc2d.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> = 4;</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  convDesc2d.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a> = 5;</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  convDesc2d.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> = 2;</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  convDesc2d.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> = 1;</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  convDesc2d.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> = 3;</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  convDesc2d.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> = 3;</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  convDesc2d.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> = <span class="keyword">false</span>;</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  convDesc2d.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>;</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</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="l00623"></a><span class="lineno"> 623</span>  weights,</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <a class="code" href="structarmnn_1_1_empty_optional.xhtml">armnn::EmptyOptional</a>(),</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="stringliteral">"conv layer"</span>);</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  CHECK(convLayer);</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a>& descriptor = convLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a7ce723f9ed0cba4430ec1fc11daa4ce9">GetParameters</a>();</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  CHECK(descriptor.<a class="code" href="structarmnn_1_1_base_descriptor.xhtml#ac618666b3c6d65d2c88bcbb7abeed343">IsNull</a>() == <span class="keyword">false</span>);</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a>& originalDescriptor =</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="structarmnn_1_1_convolution2d_descriptor.xhtml">armnn::Convolution2dDescriptor</a>&<span class="keyword">></span>(descriptor);</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  CHECK(originalDescriptor.m_PadLeft == 2);</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  CHECK(originalDescriptor.m_PadRight == 3);</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  CHECK(originalDescriptor.m_PadTop == 4);</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  CHECK(originalDescriptor.m_PadBottom == 5);</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  CHECK(originalDescriptor.m_StrideX == 2);</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  CHECK(originalDescriptor.m_StrideY == 1);</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  CHECK(originalDescriptor.m_DilationX == 3);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  CHECK(originalDescriptor.m_DilationY == 3);</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  CHECK(originalDescriptor.m_BiasEnabled == <span class="keyword">false</span>);</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  CHECK(originalDescriptor.m_DataLayout == <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>);</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span> }</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span> </div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> TEST_CASE(<span class="stringliteral">"CheckNullDescriptor"</span>)</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> {</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <a class="code" href="classarmnn_1_1_network_impl.xhtml">armnn::NetworkImpl</a> net;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> addLayer = net.<a class="code" href="classarmnn_1_1_network_impl.xhtml#a39f1b38d89c4de186742eafcbb3b1319">AddAdditionLayer</a>();</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span> </div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  CHECK(addLayer);</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span> </div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a>& descriptor = addLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a7ce723f9ed0cba4430ec1fc11daa4ce9">GetParameters</a>();</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="comment">// additional layer has no descriptor so a NullDescriptor will be returned</span></div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  CHECK(descriptor.<a class="code" href="structarmnn_1_1_base_descriptor.xhtml#ac618666b3c6d65d2c88bcbb7abeed343">IsNull</a>() == <span class="keyword">true</span>);</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span> }</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> </div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> }</div><div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Convolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00535">Descriptors.hpp:535</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00545">Descriptors.hpp:545</a></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="structarmnn_1_1_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Convolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00547">Descriptors.hpp:547</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#l00217">Descriptors.hpp:217</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#l00066">INetwork.hpp:66</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_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#l02165">Network.cpp:2165</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#l02107">Network.cpp:2107</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#l00499">Descriptors.hpp:499</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml_aad5bb4d8050fd428ff03ae6d81e3014c"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const armnn::IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div> +<div class="ttc" id="classarmnn_1_1_network_impl_xhtml_a1aa567f46c30960851c02847dc7b4215"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a1aa567f46c30960851c02847dc7b4215">armnn::NetworkImpl::AddConstantLayer</a></div><div class="ttdeci">IConnectableLayer * AddConstantLayer(const ConstTensor &input, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l02236">Network.cpp:2236</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</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#l02131">Network.cpp:2131</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#l01867">Network.cpp:1867</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="structarmnn_1_1_convolution2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Convolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00531">Descriptors.hpp:531</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#l02119">Network.cpp:2119</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a7ce723f9ed0cba4430ec1fc11daa4ce9"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a7ce723f9ed0cba4430ec1fc11daa4ce9">armnn::IConnectableLayer::GetParameters</a></div><div class="ttdeci">virtual const BaseDescriptor & GetParameters() const =0</div><div class="ttdoc">If the layer has a descriptor return it. </div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</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="structarmnn_1_1_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00543">Descriptors.hpp:543</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a68be4837f6c739877233e527a996dd00">armnn::LayerType::Merge</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="namespacearmnn_xhtml_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00277">Types.hpp:277</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#l01251">Descriptors.hpp:1251</a></div></div> +<div class="ttc" id="structarmnn_1_1_base_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00022">Descriptors.hpp:22</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aca39930e22f40d10155a57dba32240bb">armnn::LayerType::Quantize</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.xhtml#l00013">IStrategy.hpp:13</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#l02263">Network.cpp:2263</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00533">Descriptors.hpp:533</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#l02170">Network.cpp:2170</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Convolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00537">Descriptors.hpp:537</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#l01873">Network.cpp:1873</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#l00198">Tensor.hpp:198</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#l00174">Descriptors.hpp:174</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#l00468">Descriptors.hpp:468</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#l00327">Tensor.hpp:327</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#l02175">Network.cpp:2175</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#l01994">Network.cpp:1994</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#l01233">Descriptors.hpp:1233</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#l00036">Descriptors.hpp:36</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00539">Descriptors.hpp:539</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#l02501">Network.cpp:2501</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_adceb04ae84c524e4d01881e3754a4d59"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">armnn::IConnectableLayer::GetType</a></div><div class="ttdeci">virtual LayerType GetType() const =0</div><div class="ttdoc">Returns the armnn::LayerType of this layer. </div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00541">Descriptors.hpp:541</a></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="classarmnn_1_1_network_impl_xhtml_a471991a84030eb3ae601da2bee757870"><div class="ttname"><a href="classarmnn_1_1_network_impl.xhtml#a471991a84030eb3ae601da2bee757870">armnn::NetworkImpl::AddFullyConnectedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFullyConnectedLayer(const FullyConnectedDescriptor &fullyConnectedDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01912">Network.cpp:1912</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#l02143">Network.cpp:2143</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#l01249">Descriptors.hpp:1249</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="namespacearmnn_xhtml_afad4088a9a058114ee5f87246f87bf49"><div class="ttname"><a href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">armnn::LayerGuid</a></div><div class="ttdeci">profiling::ProfilingGuid LayerGuid</div><div class="ttdoc">Define LayerGuid type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00363">Types.hpp:363</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</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="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#l00241">INetwork.hpp:241</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#l02180">Network.cpp:2180</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="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></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#l00332">Descriptors.hpp:332</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#l00729">Descriptors.hpp:729</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#l00196">Graph.hpp:196</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#l02022">Network.cpp:2022</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#l02149">Network.cpp:2149</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#l00492">Network.cpp:492</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#l00150">Descriptors.hpp:150</a></div></div> +<div class="ttc" id="structarmnn_1_1_base_descriptor_xhtml_ac618666b3c6d65d2c88bcbb7abeed343"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml#ac618666b3c6d65d2c88bcbb7abeed343">armnn::BaseDescriptor::IsNull</a></div><div class="ttdeci">virtual bool IsNull() const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00024">Descriptors.hpp:24</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#l00788">Descriptors.hpp:788</a></div></div> +<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00529">Descriptors.hpp:529</a></div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="dir_9d86fd1fbecbedf5bdb69c7e7235fe5f.xhtml">test</a></li><li class="navelem"><a class="el" href="_network_tests_8cpp.xhtml">NetworkTests.cpp</a></li> + <li class="footer">Generated on Wed Mar 9 2022 12:01:02 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |