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<div class="title">Layer.cpp</div>  </div>
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<a href="_layer_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_layer_8hpp.xhtml">Layer.hpp</a>&quot;</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_graph_8hpp.xhtml">Graph.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_profiling_service_8hpp.xhtml">ProfilingService.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_numeric_cast_8hpp.xhtml">armnn/utility/NumericCast.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_data_8hpp.xhtml">backendsCommon/WorkloadData.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;fmt/format.h&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;numeric&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;{</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.xhtml#a5a0a7224d93d14db044426a3878dab4d">   20</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#a5a0a7224d93d14db044426a3878dab4d">InputSlot::Insert</a>(<a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>&amp; layer)</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;{</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer.<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() == 1);</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>* <span class="keyword">const</span> prevSlot = <a class="code" href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>();</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <span class="keywordflow">if</span> (prevSlot != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    {</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;        <span class="comment">// Disconnects parent from this.</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;        prevSlot-&gt;Disconnect(*<span class="keyword">this</span>);</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;        <span class="comment">// Connects inserted layer to parent.</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;        <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer.<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == 1);</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;        <span class="keywordtype">int</span> idx = prevSlot-&gt;Connect(layer.<a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;        prevSlot-&gt;SetEdgeStrategy(armnn::numeric_cast&lt;unsigned int&gt;(idx), <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>);</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;        <span class="comment">// Sets tensor info for inserted layer.</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; tensorInfo = prevSlot-&gt;GetTensorInfo();</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;        layer.<a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(tensorInfo);</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    }</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <span class="comment">// Connects inserted layer to this.</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    layer.<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(*<span class="keyword">this</span>);</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    layer.<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">SetEdgeStrategy</a>(0, <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>);</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;}</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a048e8c1536cf6b8871b093a73a4a3a85">   46</a></span>&#160;<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>* <a class="code" href="classarmnn_1_1_output_slot.xhtml#a048e8c1536cf6b8871b093a73a4a3a85">OutputSlot::GetConnection</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)<span class="keyword"> const</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    ValidateConnectionIndex(index);</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <span class="keywordflow">return</span> m_Connections[index];</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;}</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a79b28a9ef1f9cf237f6f6697589cacb4">   52</a></span>&#160;<a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>* <a class="code" href="classarmnn_1_1_output_slot.xhtml#a048e8c1536cf6b8871b093a73a4a3a85">OutputSlot::GetConnection</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;{</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    ValidateConnectionIndex(index);</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="keywordflow">return</span> m_Connections[index];</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;}</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a7e5c5771d741dd5473989047a9314728">   58</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a7e5c5771d741dd5473989047a9314728">OutputSlot::SetTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; tensorInfo)</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    GetOutputHandler().SetTensorInfo(tensorInfo);</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;}</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">   63</a></span>&#160;<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; <a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">OutputSlot::GetTensorInfo</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keywordflow">return</span> GetOutputHandler().GetTensorInfo();</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;}</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ac51cbac15935434659c8504d6db54e28">   68</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#ac51cbac15935434659c8504d6db54e28">OutputSlot::IsTensorInfoSet</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().GetShapeInferenceMethod() == <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">ShapeInferenceMethod::InferAndValidate</a>)</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    {</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        <a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.xhtml#a84ff600212ba26e665de9b978ec896a4">ValidateTensorShapesFromInputs</a>();</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    }</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="keywordflow">return</span> GetOutputHandler().IsTensorInfoSet();</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;}</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ac5f74c7858eb0b7c1d676230016339c2">   77</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#ac5f74c7858eb0b7c1d676230016339c2">OutputSlot::ValidateTensorShape</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; shape)<span class="keyword"> const</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(IsTensorInfoSet(), <span class="stringliteral">&quot;TensorInfo must be set in order to validate the shape.&quot;</span>);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <span class="keywordflow">return</span> shape == m_OutputHandler.GetTensorInfo().GetShape();</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;}</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">   83</a></span>&#160;<span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">OutputSlot::Connect</a>(<a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>&amp; destination)</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;{</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    destination.<a class="code" href="classarmnn_1_1_input_slot.xhtml#ae34c07e230a32ea853faed3fefc804f3">SetConnection</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    m_Connections.push_back(&amp;destination);</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    m_EdgeStrategies.push_back(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>);</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a>&lt;<span class="keywordtype">int</span>&gt;(m_Connections.size() - 1);</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;}</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ac72a192dfcfa19e6ce826f99b415a11d">   91</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#ac72a192dfcfa19e6ce826f99b415a11d">OutputSlot::Disconnect</a>(<a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>&amp; slot)</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;{</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    slot.<a class="code" href="classarmnn_1_1_input_slot.xhtml#ae34c07e230a32ea853faed3fefc804f3">SetConnection</a>(<span class="keyword">nullptr</span>);</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keyword">auto</span> it = std::find(m_Connections.begin(), m_Connections.end(), &amp;slot);</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    <span class="keywordflow">if</span> (it == m_Connections.end())</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    {</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        <span class="keywordflow">return</span>;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    }</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    <span class="keyword">auto</span> idx = std::distance(m_Connections.begin(), it);</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    m_Connections.erase(std::remove(m_Connections.begin(), m_Connections.end(), &amp;slot), m_Connections.end());</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    m_EdgeStrategies.erase(m_EdgeStrategies.begin() + idx);</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;}</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a687ea562cfdf653499a0980537c04afb">  107</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a687ea562cfdf653499a0980537c04afb">OutputSlot::DisconnectAll</a>()</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;{</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    <span class="keywordflow">while</span> (GetNumConnections() &gt; 0)</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    {</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>&amp; connection = *<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>(0);</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        Disconnect(connection);</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    }</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;}</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a19d30f83e90f2612e6aec510715f790d">  116</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a19d30f83e90f2612e6aec510715f790d">OutputSlot::MoveAllConnections</a>(<a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>&amp; destination)</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;{</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="keywordflow">while</span> (GetNumConnections() &gt; 0)</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    {</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;        <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(m_EdgeStrategies[0] == <a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>,</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;            <span class="stringliteral">&quot;Cannot move connections once memory strategies have be established.&quot;</span>);</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;        <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>&amp; connection = *<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>(0);</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        Disconnect(connection);</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;        destination.<a class="code" href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">Connect</a>(connection);</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;        destination.<a class="code" href="classarmnn_1_1_output_slot.xhtml#ab00cd1d8962a1927d0302901cb8410d7">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(GetOutputHandler().<a class="code" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">GetTensorInfo</a>());</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    }</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;}</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a27545b353e48a739981d345b64bb9dc9">  130</a></span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a27545b353e48a739981d345b64bb9dc9">OutputSlot::CalculateIndexOnOwner</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; <a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(); i++)</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    {</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(i) == (*this))</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;        {</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;            <span class="keywordflow">return</span> i;</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;        }</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    }</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<span class="keyword">false</span>, <span class="stringliteral">&quot;Did not find slot on owner.&quot;</span>);</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    <span class="keywordflow">return</span> 0; <span class="comment">// Error</span></div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;}</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#ab074017b8b2359ed28af6f2de7c36cdc">  143</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#ab074017b8b2359ed28af6f2de7c36cdc">OutputSlot::operator==</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>&amp; other)<span class="keyword"> const</span></div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <span class="keywordtype">bool</span> isSame = other.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a25b0119c02aece1d341b99953d169c0f">GetNumConnections</a>() == GetNumConnections();</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keywordflow">if</span> (!isSame)</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    {</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    }</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; GetNumConnections(); i++)</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    {</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        isSame &amp;= other.<a class="code" href="classarmnn_1_1_output_slot.xhtml#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(i) == <a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>(i);</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    }</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <span class="keywordflow">return</span> isSame;</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;}</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;<span class="keywordtype">void</span> OutputSlot::ValidateConnectionIndex(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)<span class="keyword"> const</span></div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    <span class="keywordflow">if</span> (armnn::numeric_cast&lt;std::size_t&gt;(index) &gt;= m_Connections.size())</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    {</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>((fmt::format(<span class="stringliteral">&quot;GetConnection: Invalid index {} provided&quot;</span>, index)));</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    }</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;}</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a6bd5f82d7627668e46dee6a6c699480b">  166</a></span>&#160;<a class="code" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">LayerGuid</a> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a6bd5f82d7627668e46dee6a6c699480b">OutputSlot::GetOwningLayerGuid</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>();</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;}</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">  171</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">OutputSlot::SetTensorHandleFactory</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a>&amp; <span class="keywordtype">id</span>)</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;{</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    m_TensorHandleFactoryId = id;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;}</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">  176</a></span>&#160;<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> <a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">OutputSlot::GetTensorHandleFactoryId</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <span class="keywordflow">return</span> m_TensorHandleFactoryId;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;}</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;</div><div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">  181</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">OutputSlot::SetEdgeStrategy</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> connectionIndex, <a class="code" href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> strategy)</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;{</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160; 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            <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots,</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;             <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type,</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;             <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> layout,</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;             <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;: m_OutputHandlers(numOutputSlots)</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;, m_ShapeInferenceMethod(<a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a>::<a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ValidateOnly</a>)</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;, m_LayerName(name ? name : <span class="stringliteral">&quot;&quot;</span>)</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;, m_Type(type)</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;, m_BackendId()</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;, m_BackendHint(<a class="code" href="structarmnn_1_1_empty_optional.xhtml">EmptyOptional</a>())</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;, m_Guid(profiling::<a class="code" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml">ProfilingService</a>::GetNextGuid())</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;{</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(layout);</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    m_InputSlots.reserve(numInputSlots);</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numInputSlots; ++i)</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    {</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;        m_InputSlots.emplace_back(*<span class="keyword">this</span>, i);</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    }</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    m_OutputSlots.reserve(numOutputSlots);</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numOutputSlots; ++i)</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    {</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;        m_OutputSlots.emplace_back(*<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>[i]);</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    }</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;}</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;</div><div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">  218</a></span>&#160;<a class="code" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">Layer::Layer</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots,</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;             <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots,</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;             <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type,</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;             <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;: <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>(numInputSlots, numOutputSlots, type, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>, name)</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;{</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;}</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;<span class="keywordtype">void</span> Layer::CollectWorkloadInputs(<a class="code" href="classarmnn_1_1_workload_data_collector.xhtml">WorkloadDataCollector</a>&amp; dataCollector)<span class="keyword"> const</span></div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; inputSlot : <a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>())</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    {</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;        <span class="comment">// The graph must be well-formed at this point.</span></div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;        <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputSlot.GetConnection());</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>&amp; outputHandler = inputSlot.GetConnectedOutputSlot()-&gt;GetOutputHandler();</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;        dataCollector.<a class="code" href="classarmnn_1_1_workload_data_collector.xhtml#a0c85ad7fea8c31febbd5ae17ab3195f1">Push</a>(outputHandler.GetData(), outputHandler.GetTensorInfo());</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    }</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;}</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;<span class="keywordtype">void</span> Layer::CollectWorkloadOutputs(<a class="code" href="classarmnn_1_1_workload_data_collector.xhtml">WorkloadDataCollector</a>&amp; dataCollector)<span class="keyword"> const</span></div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; outputHandler : <a class="code" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>)</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    {</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        outputHandler.CollectWorkloadOutputs(dataCollector);</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    }</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;}</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">  245</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">Layer::SetAdditionalInfo</a>(<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a>&amp; descriptor)<span class="keyword"> const</span></div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a2f2e6134cabedfc58aa53fe38a2b8a67">m_AdditionalInfoObject</a> = <a class="code" href="classarmnn_1_1_layer.xhtml#ac7170f79bd0eadb1b6153e359c023cc0">m_AdditionalInfoObject</a>.get();</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;}</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;</div><div class="line"><a name="l00250"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a3ff62126ec713a2708e5fbaa6146a7de">  250</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a3ff62126ec713a2708e5fbaa6146a7de">Layer::CreateTensorHandles</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a>&amp; registry,</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;                                <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;                                <span class="keyword">const</span> <span class="keywordtype">bool</span> IsMemoryManaged)</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;{</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx=0; idx &lt; <a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(); idx++)</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    {</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>&amp; slot = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(idx);</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;        <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = slot.<a class="code" href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>();</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;        <a class="code" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>&amp; handler = <a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(idx);</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;        <span class="keywordflow">if</span> (factoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        {</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;            handler.<a class="code" href="classarmnn_1_1_output_handler.xhtml#abdad6d5574323cbbca22ddd158e66759">CreateTensorHandles</a>(workloadFactory, IsMemoryManaged);</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;        }</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        {</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;            <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">ITensorHandleFactory</a>* handleFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(factoryId);</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;            <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(handleFactory);</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;            handler.<a class="code" href="classarmnn_1_1_output_handler.xhtml#abdad6d5574323cbbca22ddd158e66759">CreateTensorHandles</a>(*handleFactory, IsMemoryManaged);</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;        }</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;    }</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;}</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;</div><div class="line"><a name="l00274"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a339bef86bc340c3d1393ed83950fe8af">  274</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a339bef86bc340c3d1393ed83950fe8af">Layer::ReleaseConstantData</a>()</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;{</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    <span class="comment">// Now free up the static data.</span></div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    <a class="code" href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a>([](std::unique_ptr&lt;ScopedCpuTensorHandle&gt;&amp; handle)</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;                                 {</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;                                     handle.reset(<span class="keyword">nullptr</span>);</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;                                 });</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;}</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;</div><div class="line"><a name="l00283"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">  283</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">Layer::GetDataType</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() &gt; 0) <span class="comment">// Ignore the input layer.</span></div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;    {</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    }</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;}</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;</div><div class="line"><a name="l00292"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#aac329cade047e952621b59a51a5d5f49">  292</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#aac329cade047e952621b59a51a5d5f49">Layer::ResetPriority</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;    m_Priority = 0;</div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    m_Visiting = <span class="keyword">false</span>;</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;}</div><div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;</div><div class="line"><a name="l00298"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd">  298</a></span>&#160;<a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> <a class="code" href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd">Layer::GetPriority</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;    constexpr <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> inputPrio = std::numeric_limits&lt;LayerPriority&gt;::lowest();</div><div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;    constexpr <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> outputPrio = std::numeric_limits&lt;LayerPriority&gt;::max();</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;</div><div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    {</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;        m_Priority = inputPrio;</div><div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;    }</div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;    <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div><div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;    {</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;        m_Priority = outputPrio;</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;    }</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_Priority == 0)</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;    {</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;        <span class="keywordflow">if</span> (m_Visiting)</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;        {</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_graph_validation_exception.xhtml">GraphValidationException</a>(<span class="stringliteral">&quot;Graph has circular dependencies: cannot walk&quot;</span>);</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;        }</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;        <span class="keyword">auto</span> maxPrio = [](<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> prio, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>&amp; slot) -&gt; <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a></div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;            {</div><div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;                <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> *outputSlot = slot.GetConnectedOutputSlot();</div><div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;                <span class="keywordflow">if</span> (outputSlot)</div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;                {</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;                    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>&amp; input = outputSlot-&gt;<a class="code" href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;                    <span class="keywordflow">return</span> std::max(prio, input.<a class="code" href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd">GetPriority</a>());</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;                }</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;                <span class="keywordflow">else</span></div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;                {</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;                    <span class="comment">// unconnected input slot</span></div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;                    <span class="keywordflow">return</span> prio;</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;                }</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;            };</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;        m_Visiting = <span class="keyword">true</span>;</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;        <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> parentPrio = std::accumulate(<a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>().cbegin(), <a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>().cend(), 0U, maxPrio);</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;        m_Visiting = <span class="keyword">false</span>;</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;</div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;        <span class="keywordflow">if</span> (parentPrio &gt;= outputPrio)</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;        {</div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_graph_validation_exception.xhtml">GraphValidationException</a>(<span class="stringliteral">&quot;Graph has too many edges&quot;</span>);</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;        }</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;        m_Priority = parentPrio + 1U;</div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;    }</div><div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;</div><div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;    <span class="keywordflow">return</span> m_Priority;</div><div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;}</div><div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;</div><div class="line"><a name="l00348"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">  348</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">Layer::VerifyLayerConnections</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> expectedConnections, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_check_location.xhtml">CheckLocation</a>&amp; location)<span class="keyword"> const</span></div><div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == expectedConnections);</div><div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i&lt;expectedConnections; ++i)</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;    {</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;        <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(i).GetConnection() == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;        {</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.xhtml">LayerValidationException</a>(</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;                    fmt::format(<span class="stringliteral">&quot;Input connection #{0} must be connected &quot;</span></div><div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;                                <span class="stringliteral">&quot;for {1} layer {2} {3}&quot;</span>,</div><div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;                                i,</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;                                <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(this-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>()),</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;                                <a class="code" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>(),</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;                                location.<a class="code" href="structarmnn_1_1_check_location.xhtml#a5e3562cda960da001597e7dd5679b140">AsString</a>()));</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;        }</div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;    }</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;}</div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;</div><div class="line"><a name="l00367"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">  367</a></span>&#160;std::vector&lt;TensorShape&gt; <a class="code" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">Layer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector&lt;TensorShape&gt;&amp; inputShapes)<span class="keyword"> const</span></div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() != 0);</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;    <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() != 0);</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;    <span class="comment">// By default we return what we got, meaning the output shape(s) are the same as the input(s).</span></div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;    <span class="comment">// This only works if the number of inputs and outputs are the same. Since we are in the Layer</span></div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;    <span class="comment">// base class, this means the implementation needs to be overridden in the specific layers for</span></div><div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    <span class="comment">// the other cases. So the missing implementation justifies the UnimplementedException.</span></div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;</div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() != <a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>())</div><div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;    {</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.xhtml">UnimplementedException</a>(</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;                fmt::format(<span class="stringliteral">&quot;Default implementation for InferOutputShapes can only be used for &quot;</span></div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;                            <span class="stringliteral">&quot;layers with the same number of input and output slots. This doesn&#39;t &quot;</span></div><div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;                            <span class="stringliteral">&quot;hold for {0} layer {1} (#inputs={2} #outputs={3}) {4}&quot;</span>,</div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;                            <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(this-&gt;<a class="code" href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>()),</div><div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;                            <a class="code" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>(),</div><div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;                            <a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>(),</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;                            <a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(),</div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;                            <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;    }</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;    <span class="keywordflow">return</span> inputShapes;</div><div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;}</div><div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;</div><div class="line"><a name="l00392"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">  392</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">Layer::ValidateAndCopyShape</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; outputShape,</div><div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;                                 <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; inferredShape,</div><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;                                 <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod,</div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;                                 <span class="keyword">const</span> std::string&amp; layerName,</div><div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;                                 <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSlotIndex)</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;{</div><div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;    <span class="keywordflow">if</span> (shapeInferenceMethod == <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a>)</div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;    {</div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;        ConditionalThrowIfNotEqual&lt;LayerValidationException&gt;(</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;                layerName + <span class="stringliteral">&quot;: TensorShape set on OutputSlot[0] does not match the inferred shape.&quot;</span>,</div><div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;                outputShape,</div><div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;                inferredShape);</div><div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;        <span class="keywordflow">return</span>;</div><div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;    }</div><div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;</div><div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;    <span class="keywordflow">if</span> (outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</div><div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;    {</div><div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div><div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;        {</div><div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;            <span class="keywordflow">if</span> (outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(i) &amp;&amp; outputShape[i] != inferredShape[i])</div><div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;            {</div><div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;                std::stringstream ss;</div><div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;                ss &lt;&lt; layerName &lt;&lt; <span class="stringliteral">&quot;: TensorShape set on OutputSlot[&quot;</span> &lt;&lt; outputSlotIndex &lt;&lt;</div><div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;                <span class="stringliteral">&quot;] does not match the inferred shape at dimension index [&quot;</span>;</div><div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;                ss &lt;&lt; i &lt;&lt; <span class="stringliteral">&quot;] &quot;</span> &lt;&lt; outputShape &lt;&lt; <span class="stringliteral">&quot; != &quot;</span> &lt;&lt; inferredShape;</div><div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;                <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.xhtml">LayerValidationException</a>(ss.str());</div><div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;            }</div><div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;        }</div><div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;    }</div><div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;</div><div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(outputSlotIndex).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div><div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;</div><div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inferredTensorInfo(inferredShape,</div><div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;                                         info.GetDataType(),</div><div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;                                         info.GetQuantizationScale(),</div><div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;                                         info.GetQuantizationOffset());</div><div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;</div><div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;    <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(outputSlotIndex).<a class="code" href="classarmnn_1_1_output_slot.xhtml#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(inferredTensorInfo);</div><div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;}</div><div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;</div><div class="line"><a name="l00432"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">  432</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">Layer::VerifyShapeInferenceType</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>&amp; outputShape, <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod)</div><div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;{</div><div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;    <span class="keywordflow">if</span> (shapeInferenceMethod == <a class="code" href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a>)</div><div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;    {</div><div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;        ConditionalThrow&lt;LayerValidationException&gt;(</div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;                outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() != <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">Dimensionality::NotSpecified</a>,</div><div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;                <span class="stringliteral">&quot;Dimensionality can not be NotSpecified while using ShapeInferenceMethod::ValidateOnly&quot;</span>);</div><div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;</div><div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;        ConditionalThrow&lt;LayerValidationException&gt;(</div><div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;                outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>(),</div><div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;                <span class="stringliteral">&quot;Unspecified dimension while using ShapeInferenceMethod::ValidateOnly&quot;</span>);</div><div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;    }</div><div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;}</div><div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;</div><div class="line"><a name="l00446"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#ac04cd8de9b9185756eb02463ffd432b1">  446</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#ac04cd8de9b9185756eb02463ffd432b1">Layer::SerializeLayerParameters</a>(<a class="code" href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a>&amp; fn)<span class="keyword"> const</span></div><div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;    std::string guid = std::to_string(m_Guid);</div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;    std::string layerType = <a class="code" href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(m_Type);</div><div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;    std::string backendId = std::string(m_BackendId);</div><div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;    <span class="keywordflow">if</span> (!(guid.compare(<span class="stringliteral">&quot;&quot;</span>) == 0) &amp;&amp; !guid.empty())</div><div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;    {</div><div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;        fn(<span class="stringliteral">&quot;Guid&quot;</span>, guid);</div><div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;    }</div><div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;    <span class="keywordflow">if</span>(!(m_LayerName.compare(<span class="stringliteral">&quot;&quot;</span>) == 0) &amp;&amp; !m_LayerName.empty())</div><div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;    {</div><div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;        fn(<span class="stringliteral">&quot;LayerName&quot;</span>,m_LayerName);</div><div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;    }</div><div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;    <span class="keywordflow">if</span>(!(layerType.compare(<span class="stringliteral">&quot;&quot;</span>) == 0) &amp;&amp; !layerType.empty())</div><div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;    {</div><div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;        fn(<span class="stringliteral">&quot;LayerType&quot;</span>,layerType);</div><div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;    }</div><div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;    <span class="keywordflow">if</span>(!(backendId.compare(<span class="stringliteral">&quot;&quot;</span>) == 0) &amp;&amp; !backendId.empty())</div><div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;    {</div><div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;        fn(<span class="stringliteral">&quot;BackendID&quot;</span>,backendId);</div><div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;    }</div><div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;    std::shared_ptr&lt;ActivationDescriptor&gt;</div><div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;            activationDescPtr = GetAdditionalInformation&lt;ActivationDescriptor&gt;();</div><div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;</div><div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;    <span class="keywordflow">if</span> (activationDescPtr)</div><div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;    {</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;        <a class="code" href="structarmnn_1_1_stringify_layer_parameters.xhtml#a84990e31a235f27cd3d7f3fc90fa0035">StringifyLayerParameters&lt;ActivationDescriptor&gt;::Serialize</a>(fn, *activationDescPtr.get());</div><div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;    }</div><div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;}</div><div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;</div><div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;<span class="comment">// default implementation of ExecuteStrategy</span></div><div class="line"><a name="l00477"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">  477</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>&amp; strategy)<span class="keyword"> const</span></div><div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;    strategy.<a class="code" href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(), {}, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;}</div><div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;</div><div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a687ea562cfdf653499a0980537c04afb"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a687ea562cfdf653499a0980537c04afb">armnn::OutputSlot::DisconnectAll</a></div><div class="ttdeci">void DisconnectAll()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00107">Layer.cpp:107</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a339bef86bc340c3d1393ed83950fe8af"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a339bef86bc340c3d1393ed83950fe8af">armnn::Layer::ReleaseConstantData</a></div><div class="ttdeci">virtual void ReleaseConstantData()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00274">Layer.cpp:274</a></div></div>
<div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ac5f74c7858eb0b7c1d676230016339c2"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ac5f74c7858eb0b7c1d676230016339c2">armnn::OutputSlot::ValidateTensorShape</a></div><div class="ttdeci">bool ValidateTensorShape(const TensorShape &amp;shape) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00077">Layer.cpp:77</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a5a0a7224d93d14db044426a3878dab4d"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a5a0a7224d93d14db044426a3878dab4d">armnn::InputSlot::Insert</a></div><div class="ttdeci">void Insert(Layer &amp;layer)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00020">Layer.cpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a3f80ddd1f76ed4ad599e0d1a00659ee5"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a3f80ddd1f76ed4ad599e0d1a00659ee5">armnn::OutputSlot::SetEdgeStrategy</a></div><div class="ttdeci">void SetEdgeStrategy(unsigned int connectionIndex, EdgeStrategy strategy)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00181">Layer.cpp:181</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00050">Types.hpp:50</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00313">Layer.hpp:313</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a></div></div>
<div class="ttc" id="structarmnn_1_1_check_location_xhtml_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="structarmnn_1_1_check_location.xhtml#a5e3562cda960da001597e7dd5679b140">armnn::CheckLocation::AsString</a></div><div class="ttdeci">std::string AsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00029">Exceptions.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::Layer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">Infer the shape of the output(s) based on the provided input shape(s) </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00367">Layer.cpp:367</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_acccb75bd1d68a81f6ddd61687f51c5a1"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">armnn::TensorShape::AreAllDimensionsSpecified</a></div><div class="ttdeci">bool AreAllDimensionsSpecified() const</div><div class="ttdoc">Checks if there is at least one dimension not specified. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00241">Tensor.cpp:241</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_output_slot_xhtml_a6bd5f82d7627668e46dee6a6c699480b"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a6bd5f82d7627668e46dee6a6c699480b">armnn::OutputSlot::GetOwningLayerGuid</a></div><div class="ttdeci">LayerGuid GetOwningLayerGuid() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00166">Layer.cpp:166</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml">armnn::QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00028">WorkloadData.hpp:28</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a386acff5f8430245239ce58d00ba7576"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">armnn::Layer::OperateOnConstantTensors</a></div><div class="ttdeci">void OperateOnConstantTensors(Op op)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00298">Layer.hpp:298</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a5a212540c00931bd2a4b4041beda33ae"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">armnn::TensorShape::GetDimensionality</a></div><div class="ttdeci">Dimensionality GetDimensionality() const</div><div class="ttdoc">Function that returns the tensor type. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00092">Tensor.hpp:92</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer &amp; GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00115">Layer.hpp:115</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_adcfb97035799ea4c043f9ef370714815"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#adcfb97035799ea4c043f9ef370714815">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(InputSlot &amp;destination)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00083">Layer.cpp:83</a></div></div>
<div class="ttc" id="classarmnn_1_1_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 &amp;descriptor, const std::vector&lt; armnn::ConstTensor &gt; &amp;constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div>
<div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_guid_xhtml"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">armnn::profiling::ProfilingGuid</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00291">Types.hpp:291</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a419086ecb4dc9d0f9e5d8933c87e2ea2"><div class="ttname"><a href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">armnn::LayerPriority</a></div><div class="ttdeci">unsigned int LayerPriority</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00207">Layer.hpp:207</a></div></div>
<div class="ttc" id="classarmnn_1_1_unimplemented_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.xhtml">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00098">Exceptions.hpp:98</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a5b481a458c19fd3807b6e04b94b9b174"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a5b481a458c19fd3807b6e04b94b9b174">armnn::OutputSlot::GetEdgeStrategyForConnection</a></div><div class="ttdeci">EdgeStrategy GetEdgeStrategyForConnection(unsigned int connectionIdx) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00186">Layer.cpp:186</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml">armnn::InputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00041">Layer.hpp:41</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &amp;outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00432">Layer.cpp:432</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></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 &amp;&amp;...)</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_layer_xhtml_af5f530544d09a44d726f24702b67b35b"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">armnn::Layer::GetInputSlots</a></div><div class="ttdeci">const std::vector&lt; InputSlot &gt; &amp; GetInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00237">Layer.hpp:237</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00199">Layer.hpp:199</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00314">Layer.hpp:314</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a3919600d4aa8d5cd801a0e0740f62308"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">armnn::TensorShape::GetDimensionSpecificity</a></div><div class="ttdeci">bool GetDimensionSpecificity(unsigned int i) const</div><div class="ttdoc">Gets information about if the dimension size has been specified or not. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00211">Tensor.cpp:211</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &amp;outputShape, const TensorShape &amp;inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00392">Layer.cpp:392</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ac72a192dfcfa19e6ce826f99b415a11d"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ac72a192dfcfa19e6ce826f99b415a11d">armnn::OutputSlot::Disconnect</a></div><div class="ttdeci">void Disconnect(InputSlot &amp;slot)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00091">Layer.cpp:91</a></div></div>
<div class="ttc" id="_numeric_cast_8hpp_xhtml"><div class="ttname"><a href="_numeric_cast_8hpp.xhtml">NumericCast.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_workload_data_collector_xhtml"><div class="ttname"><a href="classarmnn_1_1_workload_data_collector.xhtml">armnn::WorkloadDataCollector</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_collector_8hpp_source.xhtml#l00015">WorkloadDataCollector.hpp:15</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="classarmnn_1_1_output_handler_xhtml_abdad6d5574323cbbca22ddd158e66759"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml#abdad6d5574323cbbca22ddd158e66759">armnn::OutputHandler::CreateTensorHandles</a></div><div class="ttdeci">void CreateTensorHandles(const IWorkloadFactory &amp;factory, const bool IsMemoryManaged=true)</div><div class="ttdoc">Creates tensor handles used by the intermediate tensors. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8cpp_source.xhtml#l00021">OutputHandler.cpp:21</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_layer_xhtml_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &amp;location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00348">Layer.cpp:348</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a25b0119c02aece1d341b99953d169c0f"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a25b0119c02aece1d341b99953d169c0f">armnn::OutputSlot::GetNumConnections</a></div><div class="ttdeci">unsigned int GetNumConnections() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00138">Layer.hpp:138</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00316">Layer.hpp:316</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::Layer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &amp;strategy) const override</div><div class="ttdoc">Apply a visitor to this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00477">Layer.cpp:477</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_aac329cade047e952621b59a51a5d5f49"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aac329cade047e952621b59a51a5d5f49">armnn::Layer::ResetPriority</a></div><div class="ttdeci">void ResetPriority() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00292">Layer.cpp:292</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_ac7170f79bd0eadb1b6153e359c023cc0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ac7170f79bd0eadb1b6153e359c023cc0">armnn::Layer::m_AdditionalInfoObject</a></div><div class="ttdeci">AdditionalInfoObjectPtr m_AdditionalInfoObject</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00394">Layer.hpp:394</a></div></div>
<div class="ttc" id="_graph_8hpp_xhtml"><div class="ttname"><a href="_graph_8hpp.xhtml">Graph.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00194">Tensor.hpp:194</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_validation_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.xhtml">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00105">Exceptions.hpp:105</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div></div>
<div class="ttc" id="classarmnn_1_1_workload_data_collector_xhtml_a0c85ad7fea8c31febbd5ae17ab3195f1"><div class="ttname"><a href="classarmnn_1_1_workload_data_collector.xhtml#a0c85ad7fea8c31febbd5ae17ab3195f1">armnn::WorkloadDataCollector::Push</a></div><div class="ttdeci">void Push(ITensorHandle *handle, const TensorInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_collector_8hpp_source.xhtml#l00024">WorkloadDataCollector.hpp:24</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1"><div class="ttname"><a href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">armnn::ShapeInferenceMethod::ValidateOnly</a></div><div class="ttdoc">Validate all output shapes. </div></div>
<div class="ttc" id="structarmnn_1_1_check_location_xhtml"><div class="ttname"><a href="structarmnn_1_1_check_location.xhtml">armnn::CheckLocation</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00014">Exceptions.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string &amp; GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00220">Layer.hpp:220</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00265">Layer.hpp:265</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_af97a07195a67a638605b3c325763c2dd"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd">armnn::Layer::GetPriority</a></div><div class="ttdeci">LayerPriority GetPriority() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00298">Layer.cpp:298</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00083">Layer.hpp:83</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">armnn::Layer::Layer</a></div><div class="ttdeci">Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00218">Layer.cpp:218</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00055">Layer.hpp:55</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_handler_xhtml"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml">armnn::OutputHandler</a></div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8hpp_source.xhtml#l00028">OutputHandler.hpp:28</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a84ff600212ba26e665de9b978ec896a4"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a84ff600212ba26e665de9b978ec896a4">armnn::Layer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">virtual void ValidateTensorShapesFromInputs()=0</div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a7ddaf04177053a536f0e7be83a642bc6">armnn::InputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer &amp; GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00052">Layer.hpp:52</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_validation_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph_validation_exception.xhtml">armnn::GraphValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00110">Exceptions.hpp:110</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00197">Exceptions.hpp:197</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_aa44d91037bba52ba0dec6577509ade3b"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">armnn::Layer::m_OutputHandlers</a></div><div class="ttdeci">std::vector&lt; OutputHandler &gt; m_OutputHandlers</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00407">Layer.hpp:407</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.xhtml#l00020">TensorHandleFactoryRegistry.hpp:20</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a2f2e6134cabedfc58aa53fe38a2b8a67"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a2f2e6134cabedfc58aa53fe38a2b8a67">armnn::QueueDescriptor::m_AdditionalInfoObject</a></div><div class="ttdeci">void * m_AdditionalInfoObject</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00032">WorkloadData.hpp:32</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_handler_xhtml_a97db12c41024f5545ef5cc4153e5443b"><div class="ttname"><a href="classarmnn_1_1_output_handler.xhtml#a97db12c41024f5545ef5cc4153e5443b">armnn::OutputHandler::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &amp;tensorInfo)</div><div class="ttdoc">Sets the TensorInfo used by this output handler. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8cpp_source.xhtml#l00015">OutputHandler.cpp:15</a></div></div>
<div class="ttc" id="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &amp;descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00245">Layer.cpp:245</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_af29f6883785691ef946d0c32b6d2f338"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#af29f6883785691ef946d0c32b6d2f338">armnn::OutputSlot::SetTensorHandleFactory</a></div><div class="ttdeci">void SetTensorHandleFactory(const ITensorHandleFactory::FactoryId &amp;id)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00171">Layer.cpp:171</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aff209afc1dc598da399e3e78617ce016"><div class="ttname"><a href="namespacearmnn.xhtml#aff209afc1dc598da399e3e78617ce016">armnn::EdgeStrategy</a></div><div class="ttdeci">EdgeStrategy</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00099">ITensorHandleFactory.hpp:99</a></div></div>
<div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_service_xhtml"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_service.xhtml">armnn::profiling::ProfilingService</a></div><div class="ttdef"><b>Definition:</b> <a href="_profiling_service_8hpp_source.xhtml#l00049">ProfilingService.hpp:49</a></div></div>
<div class="ttc" id="_layer_8hpp_xhtml"><div class="ttname"><a href="_layer_8hpp.xhtml">Layer.hpp</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_output_slot_xhtml_ab074017b8b2359ed28af6f2de7c36cdc"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ab074017b8b2359ed28af6f2de7c36cdc">armnn::OutputSlot::operator==</a></div><div class="ttdeci">bool operator==(const OutputSlot &amp;other) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00143">Layer.cpp:143</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_ae34c07e230a32ea853faed3fefc804f3"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#ae34c07e230a32ea853faed3fefc804f3">armnn::InputSlot::SetConnection</a></div><div class="ttdeci">void SetConnection(OutputSlot *source)</div><div class="ttdoc">Links the slot to an output slot or breaks an existing link if passing nullptr. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00059">Layer.hpp:59</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_layer_xhtml_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler &amp; GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00225">Layer.hpp:225</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00041">ITensorHandleFactory.hpp:41</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_handle_factory_registry_xhtml_ae5ecc42140a12c855554a4a621fc8456"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.xhtml#ae5ecc42140a12c855554a4a621fc8456">armnn::TensorHandleFactoryRegistry::GetFactory</a></div><div class="ttdeci">ITensorHandleFactory * GetFactory(ITensorHandleFactory::FactoryId id) const</div><div class="ttdoc">Find a TensorHandleFactory by Id Returns nullptr if not found. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00039">TensorHandleFactoryRegistry.cpp:39</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a7e5c5771d741dd5473989047a9314728"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a7e5c5771d741dd5473989047a9314728">armnn::OutputSlot::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &amp;tensorInfo) override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00058">Layer.cpp:58</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_tensor_handle_factory_xhtml_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00044">ITensorHandleFactory.hpp:44</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_ac04cd8de9b9185756eb02463ffd432b1"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#ac04cd8de9b9185756eb02463ffd432b1">armnn::Layer::SerializeLayerParameters</a></div><div class="ttdeci">virtual void SerializeLayerParameters(ParameterStringifyFunction &amp;fn) const</div><div class="ttdoc">Helper to serialize the layer parameters to string. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00446">Layer.cpp:446</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t&lt; std::is_unsigned&lt; Source &gt;::value &amp;&amp;std::is_unsigned&lt; Dest &gt;::value, Dest &gt; numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00035">NumericCast.hpp:35</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">armnn::Layer::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00283">Layer.cpp:283</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00318">Layer.hpp:318</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb"><div class="ttname"><a href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">armnn::ShapeInferenceMethod::InferAndValidate</a></div><div class="ttdoc">Infer missing output shapes and validate all output shapes. </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 &amp; GetTensorInfo() const =0</div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ab00cd1d8962a1927d0302901cb8410d7"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ab00cd1d8962a1927d0302901cb8410d7">armnn::OutputSlot::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler &amp; GetOutputHandler() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00119">Layer.hpp:119</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00311">Layer.hpp:311</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_af303cf872a3f95e29992e45224e4cf8e"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#af303cf872a3f95e29992e45224e4cf8e">armnn::OutputSlot::GetTensorHandleFactoryId</a></div><div class="ttdeci">ITensorHandleFactory::FactoryId GetTensorHandleFactoryId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00176">Layer.cpp:176</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ac51cbac15935434659c8504d6db54e28"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ac51cbac15935434659c8504d6db54e28">armnn::OutputSlot::IsTensorInfoSet</a></div><div class="ttdeci">bool IsTensorInfoSet() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00068">Layer.cpp:68</a></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="namespacearmnn_xhtml_a8c42c6647e31ebe525aeba878d133e45"><div class="ttname"><a href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">armnn::ParameterStringifyFunction</a></div><div class="ttdeci">std::function&lt; void(const std::string &amp;name, const std::string &amp;value)&gt; ParameterStringifyFunction</div><div class="ttdef"><b>Definition:</b> <a href="_serialize_layer_parameters_8hpp_source.xhtml#l00014">SerializeLayerParameters.hpp:14</a></div></div>
<div class="ttc" id="structarmnn_1_1_stringify_layer_parameters_xhtml_a84990e31a235f27cd3d7f3fc90fa0035"><div class="ttname"><a href="structarmnn_1_1_stringify_layer_parameters.xhtml#a84990e31a235f27cd3d7f3fc90fa0035">armnn::StringifyLayerParameters::Serialize</a></div><div class="ttdeci">static void Serialize(ParameterStringifyFunction &amp;, const LayerParameter &amp;)</div><div class="ttdef"><b>Definition:</b> <a href="_serialize_layer_parameters_8hpp_source.xhtml#l00025">SerializeLayerParameters.hpp:25</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_af7ec4c0fa4375a45a70e4e31f3d8af47"><div class="ttname"><a href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers </div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00026">RefWorkloadUtils.hpp:26</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a3ff62126ec713a2708e5fbaa6146a7de"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a3ff62126ec713a2708e5fbaa6146a7de">armnn::Layer::CreateTensorHandles</a></div><div class="ttdeci">virtual void CreateTensorHandles(const TensorHandleFactoryRegistry &amp;registry, const IWorkloadFactory &amp;factory, const bool IsMemoryManaged=true)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00250">Layer.cpp:250</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00063">Layer.cpp:63</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_adf57837d00e8352d9b5cc5ab1fb5fee9"><div class="ttname"><a href="namespacearmnn.xhtml#adf57837d00e8352d9b5cc5ab1fb5fee9">armnn::ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod</div><div class="ttdoc">The ShapeInferenceMethod modify how the output shapes are treated. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00177">Types.hpp:177</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_addb6b14dd1b632263ffe77430259a7c4"><div class="ttname"><a href="namespacearmnn.xhtml#addb6b14dd1b632263ffe77430259a7c4">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">const char * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.xhtml#l00013">InternalTypes.cpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00045">ITensorHandleFactory.hpp:45</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a19d30f83e90f2612e6aec510715f790d"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a19d30f83e90f2612e6aec510715f790d">armnn::OutputSlot::MoveAllConnections</a></div><div class="ttdeci">void MoveAllConnections(OutputSlot &amp;destination)</div><div class="ttdoc">Moves all connections to another OutputSlot. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00116">Layer.cpp:116</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00210">Layer.hpp:210</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a048e8c1536cf6b8871b093a73a4a3a85"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a048e8c1536cf6b8871b093a73a4a3a85">armnn::OutputSlot::GetConnection</a></div><div class="ttdeci">const InputSlot * GetConnection(unsigned int index) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00046">Layer.cpp:46</a></div></div>
<div class="ttc" id="_profiling_service_8hpp_xhtml"><div class="ttname"><a href="_profiling_service_8hpp.xhtml">ProfilingService.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00419">Types.hpp:419</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a8dc12f0ee5b232d397bd18ced1a72a64"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">armnn::Layer::GetGuid</a></div><div class="ttdeci">LayerGuid GetGuid() const final</div><div class="ttdoc">Returns the unique id of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00322">Layer.hpp:322</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_a27545b353e48a739981d345b64bb9dc9"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#a27545b353e48a739981d345b64bb9dc9">armnn::OutputSlot::CalculateIndexOnOwner</a></div><div class="ttdeci">unsigned int CalculateIndexOnOwner() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00130">Layer.cpp:130</a></div></div>
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