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<div class="title">Layer.cpp</div> </div>
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<a href="_layer_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#include "<a class="code" href="_layer_8hpp.html">Layer.hpp</a>"</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>  </div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_graph_8hpp.html">Graph.hpp</a>"</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>  </div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.html">armnn/backends/WorkloadData.hpp</a>></span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_numeric_cast_8hpp.html">armnn/utility/NumericCast.hpp</a>></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_tensor_utils_8hpp.html">armnnUtils/TensorUtils.hpp</a>></span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  </div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <client/include/IProfilingService.hpp></span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <fmt/format.h></span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <numeric></span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  </div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> {</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment">// Instantiate the static member variable</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> NullDescriptor Layer::m_NullDescriptor;</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  </div>
<div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a3854dece5adbc9c94f7e460b58b82be9"> 28</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a3854dece5adbc9c94f7e460b58b82be9">AssertNumberOfInputSlots</a>(<a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer)</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> {</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">switch</span> (layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>())</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  {</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>:</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>:</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>:</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  {</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer.<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == 2 ||</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  layer.<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == 3);</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  }</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer.<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == 1);</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  }</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> }</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  </div>
<div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.html#a5a0a7224d93d14db044426a3878dab4d"> 48</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_input_slot.html#a5a0a7224d93d14db044426a3878dab4d">InputSlot::Insert</a>(<a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer)</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> {</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer.<a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() == 1);</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  </div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>* <span class="keyword">const</span> prevSlot = <a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>();</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">if</span> (prevSlot != <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  {</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// Disconnects parent from this.</span></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  prevSlot-><a class="code" href="classarmnn_1_1_output_slot.html#ac72a192dfcfa19e6ce826f99b415a11d">Disconnect</a>(*<span class="keyword">this</span>);</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  </div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="namespacearmnn.html#a3854dece5adbc9c94f7e460b58b82be9">AssertNumberOfInputSlots</a>(layer);</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  </div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// Connects inserted layer to parent.</span></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">int</span> idx = prevSlot-><a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(layer.<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0));</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  prevSlot-><a class="code" href="classarmnn_1_1_output_slot.html#a3f80ddd1f76ed4ad599e0d1a00659ee5">SetEdgeStrategy</a>(armnn::numeric_cast<unsigned int>(idx), <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>);</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  </div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// Sets tensor info for inserted layer.</span></div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensorInfo = prevSlot-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  layer.<a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(tensorInfo);</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  </div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// Connects inserted layer to this.</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  layer.<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(*<span class="keyword">this</span>);</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  layer.<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#a3f80ddd1f76ed4ad599e0d1a00659ee5">SetEdgeStrategy</a>(0, <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>);</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> }</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  </div>
<div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85"> 75</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_input_slot.html">InputSlot</a>* <a class="code" href="classarmnn_1_1_output_slot.html#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="l00076"></a><span class="lineno"> 76</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  ValidateConnectionIndex(index);</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> m_Connections[index];</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  </div>
<div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#a79b28a9ef1f9cf237f6f6697589cacb4"> 81</a></span> <a class="code" href="classarmnn_1_1_input_slot.html">InputSlot</a>* <a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">OutputSlot::GetConnection</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index)</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  ValidateConnectionIndex(index);</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> m_Connections[index];</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> }</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div>
<div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728"> 87</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">OutputSlot::SetTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& tensorInfo)</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> {</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="classarmnn_1_1_output_slot.html#ab00cd1d8962a1927d0302901cb8410d7">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(tensorInfo);</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> }</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  </div>
<div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65"> 92</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& <a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">OutputSlot::GetTensorInfo</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_output_slot.html#ab00cd1d8962a1927d0302901cb8410d7">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> }</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  </div>
<div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#ac51cbac15935434659c8504d6db54e28"> 97</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_output_slot.html#ac51cbac15935434659c8504d6db54e28">OutputSlot::IsTensorInfoSet</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().GetShapeInferenceMethod() == <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">ShapeInferenceMethod::InferAndValidate</a>)</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  {</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">ValidateTensorShapesFromInputs</a>();</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_output_slot.html#ab00cd1d8962a1927d0302901cb8410d7">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#aca366a3098776fdd06f23e9f9329721b">IsTensorInfoSet</a>();</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> }</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  </div>
<div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#ac5f74c7858eb0b7c1d676230016339c2"> 106</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_output_slot.html#ac5f74c7858eb0b7c1d676230016339c2">OutputSlot::ValidateTensorShape</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& shape)<span class="keyword"> const</span></div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_output_slot.html#ac51cbac15935434659c8504d6db54e28">IsTensorInfoSet</a>(), <span class="stringliteral">"TensorInfo must be set in order to validate the shape."</span>);</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> shape == m_OutputHandler.<a class="code" href="classarmnn_1_1_output_handler.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> }</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  </div>
<div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815"> 112</a></span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">OutputSlot::Connect</a>(<a class="code" href="classarmnn_1_1_input_slot.html">InputSlot</a>& destination)</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> {</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  destination.<a class="code" href="classarmnn_1_1_input_slot.html#ae34c07e230a32ea853faed3fefc804f3">SetConnection</a>(<span class="keyword">this</span>);</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  m_Connections.push_back(&destination);</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  m_EdgeStrategies.push_back(<a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>);</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> armnn::numeric_cast<int>(m_Connections.size() - 1);</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> }</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  </div>
<div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#ac72a192dfcfa19e6ce826f99b415a11d"> 120</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.html#ac72a192dfcfa19e6ce826f99b415a11d">OutputSlot::Disconnect</a>(<a class="code" href="classarmnn_1_1_input_slot.html">InputSlot</a>& slot)</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> {</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  slot.<a class="code" href="classarmnn_1_1_input_slot.html#ae34c07e230a32ea853faed3fefc804f3">SetConnection</a>(<span class="keyword">nullptr</span>);</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">auto</span> it = std::find(m_Connections.begin(), m_Connections.end(), &slot);</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">if</span> (it == m_Connections.end())</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  {</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  </div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">auto</span> idx = std::distance(m_Connections.begin(), it);</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  m_Connections.erase(std::remove(m_Connections.begin(), m_Connections.end(), &slot), m_Connections.end());</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  </div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  m_EdgeStrategies.erase(m_EdgeStrategies.begin() + idx);</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> }</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div>
<div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#a687ea562cfdf653499a0980537c04afb"> 136</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.html#a687ea562cfdf653499a0980537c04afb">OutputSlot::DisconnectAll</a>()</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span> {</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">while</span> (<a class="code" href="classarmnn_1_1_output_slot.html#a25b0119c02aece1d341b99953d169c0f">GetNumConnections</a>() > 0)</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="classarmnn_1_1_input_slot.html">InputSlot</a>& connection = *<a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(0);</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classarmnn_1_1_output_slot.html#ac72a192dfcfa19e6ce826f99b415a11d">Disconnect</a>(connection);</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> }</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  </div>
<div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#a19d30f83e90f2612e6aec510715f790d"> 145</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.html#a19d30f83e90f2612e6aec510715f790d">OutputSlot::MoveAllConnections</a>(<a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>& destination)</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> {</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">while</span> (<a class="code" href="classarmnn_1_1_output_slot.html#a25b0119c02aece1d341b99953d169c0f">GetNumConnections</a>() > 0)</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  {</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(m_EdgeStrategies[0] == <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">EdgeStrategy::Undefined</a>,</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="stringliteral">"Cannot move connections once memory strategies have be established."</span>);</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  </div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classarmnn_1_1_input_slot.html">InputSlot</a>& connection = *<a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(0);</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarmnn_1_1_output_slot.html#ac72a192dfcfa19e6ce826f99b415a11d">Disconnect</a>(connection);</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  destination.<a class="code" href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">Connect</a>(connection);</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  destination.<a class="code" href="classarmnn_1_1_output_slot.html#ab00cd1d8962a1927d0302901cb8410d7">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(<a class="code" href="classarmnn_1_1_output_slot.html#ab00cd1d8962a1927d0302901cb8410d7">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>());</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  }</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span> }</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  </div>
<div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#a27545b353e48a739981d345b64bb9dc9"> 159</a></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_output_slot.html#a27545b353e48a739981d345b64bb9dc9">OutputSlot::CalculateIndexOnOwner</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(); i++)</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(i) == (*this))</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">return</span> i;</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  }</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<span class="keyword">false</span>, <span class="stringliteral">"Did not find slot on owner."</span>);</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">return</span> 0; <span class="comment">// Error</span></div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span> }</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  </div>
<div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#ab074017b8b2359ed28af6f2de7c36cdc"> 172</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_output_slot.html#ab074017b8b2359ed28af6f2de7c36cdc">OutputSlot::operator==</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>& other)<span class="keyword"> const</span></div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordtype">bool</span> isSame = other.<a class="code" href="classarmnn_1_1_output_slot.html#a25b0119c02aece1d341b99953d169c0f">GetNumConnections</a>() == <a class="code" href="classarmnn_1_1_output_slot.html#a25b0119c02aece1d341b99953d169c0f">GetNumConnections</a>();</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">if</span> (!isSame)</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  {</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  </div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="classarmnn_1_1_output_slot.html#a25b0119c02aece1d341b99953d169c0f">GetNumConnections</a>(); i++)</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  {</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  isSame &= other.<a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(i) == <a class="code" href="classarmnn_1_1_output_slot.html#a048e8c1536cf6b8871b093a73a4a3a85">GetConnection</a>(i);</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  }</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">return</span> isSame;</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> }</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  </div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <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="l00188"></a><span class="lineno"> 188</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">if</span> (armnn::numeric_cast<std::size_t>(index) >= m_Connections.size())</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>((fmt::format(<span class="stringliteral">"GetConnection: Invalid index {} provided"</span>, index)));</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> }</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  </div>
<div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#a6bd5f82d7627668e46dee6a6c699480b"> 195</a></span> <a class="code" href="_types_8hpp.html#af22094b802160f09f7c89ad9eee10084">LayerGuid</a> <a class="code" href="classarmnn_1_1_output_slot.html#a6bd5f82d7627668e46dee6a6c699480b">OutputSlot::GetOwningLayerGuid</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>().<a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>();</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  </div>
<div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#af29f6883785691ef946d0c32b6d2f338"> 200</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.html#af29f6883785691ef946d0c32b6d2f338">OutputSlot::SetTensorHandleFactory</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a>& <span class="keywordtype">id</span>)</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span> {</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  m_TensorHandleFactoryId = id;</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span> }</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  </div>
<div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#af303cf872a3f95e29992e45224e4cf8e"> 205</a></span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> <a class="code" href="classarmnn_1_1_output_slot.html#af303cf872a3f95e29992e45224e4cf8e">OutputSlot::GetTensorHandleFactoryId</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">return</span> m_TensorHandleFactoryId;</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span> }</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  </div>
<div class="line"><a name="l00210"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#a3f80ddd1f76ed4ad599e0d1a00659ee5"> 210</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_output_slot.html#a3f80ddd1f76ed4ad599e0d1a00659ee5">OutputSlot::SetEdgeStrategy</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> connectionIndex, <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> strategy)</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> {</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  m_EdgeStrategies[connectionIndex] = strategy;</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span> }</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  </div>
<div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#a5b481a458c19fd3807b6e04b94b9b174"> 215</a></span> <a class="code" href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016">EdgeStrategy</a> <a class="code" href="classarmnn_1_1_output_slot.html#a5b481a458c19fd3807b6e04b94b9b174">OutputSlot::GetEdgeStrategyForConnection</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> connectionIdx)<span class="keyword"> const</span></div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">return</span> m_EdgeStrategies[connectionIdx];</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> }</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  </div>
<div class="line"><a name="l00220"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#a395d070748c18d903705799360088e80"> 220</a></span> <a class="code" href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">Layer::Layer</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots,</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots,</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type,</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> layout,</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span> : m_OutputHandlers(numOutputSlots)</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> , m_ShapeInferenceMethod(<a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a>::<a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ValidateOnly</a>)</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span> , m_LayerName(name ? name : <span class="stringliteral">""</span>)</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span> , m_Type(type)</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> , m_BackendId()</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> , m_BackendHint(<a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>())</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span> , m_Guid(<a class="code" href="namespacearm.html">arm</a>::pipe::IProfilingService::GetNextGuid())</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span> {</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(layout);</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  m_InputSlots.reserve(numInputSlots);</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numInputSlots; ++i)</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  {</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  m_InputSlots.emplace_back(*<span class="keyword">this</span>, i);</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  }</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  </div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  m_OutputSlots.reserve(numOutputSlots);</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numOutputSlots; ++i)</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  m_OutputSlots.emplace_back(*<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer.html#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>[i]);</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  }</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> }</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  </div>
<div class="line"><a name="l00247"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205"> 247</a></span> <a class="code" href="classarmnn_1_1_layer.html#a5e5ae420d199a0bccae5139d38c30205">Layer::Layer</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots,</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots,</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type,</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> : <a class="code" href="classarmnn_1_1_layer.html">Layer</a>(numInputSlots, numOutputSlots, type, <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>, name)</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span> {</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> }</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  </div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <span class="keywordtype">void</span> Layer::CollectWorkloadInputs(<a class="code" href="classarmnn_1_1_workload_data_collector.html">WorkloadDataCollector</a>& dataCollector)<span class="keyword"> const</span></div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& inputSlot : <a class="code" href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>())</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  {</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="comment">// The graph must be well-formed at this point.</span></div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputSlot.GetConnection());</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_handler.html">OutputHandler</a>& outputHandler = inputSlot.GetConnectedOutputSlot()->GetOutputHandler();</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  </div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">if</span> (inputSlot.IsTensorInfoOverridden() && outputHandler.<a class="code" href="classarmnn_1_1_output_handler.html#afe3429ac30b180c11f01ea0f9f546f0e">GetData</a>())</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">auto</span> handler = outputHandler.<a class="code" href="classarmnn_1_1_output_handler.html#afe3429ac30b180c11f01ea0f9f546f0e">GetData</a>()-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a82d949cbbc7667d9f13e3f2a474cad36">DecorateTensorHandle</a>(inputSlot.GetTensorInfo());</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  </div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">if</span> (handler)</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="comment">// Add overridden TensorHandle</span></div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  dataCollector.<a class="code" href="classarmnn_1_1_workload_data_collector.html#a0c85ad7fea8c31febbd5ae17ab3195f1">Push</a>(handler.get(), inputSlot.GetTensorInfo());</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  }</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="comment">// Add default TensorHandle</span></div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  dataCollector.<a class="code" href="classarmnn_1_1_workload_data_collector.html#a0c85ad7fea8c31febbd5ae17ab3195f1">Push</a>(outputHandler.<a class="code" href="classarmnn_1_1_output_handler.html#afe3429ac30b180c11f01ea0f9f546f0e">GetData</a>(), inputSlot.GetTensorInfo());</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  }</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> }</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  </div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keywordtype">void</span> Layer::CollectWorkloadOutputs(WorkloadDataCollector& dataCollector)<span class="keyword"> const</span></div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& outputHandler : <a class="code" href="classarmnn_1_1_layer.html#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>)</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  {</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  outputHandler.<a class="code" href="classarmnn_1_1_output_handler.html#a9a0cf27287d6b104547d2177e4a0a3ee">CollectWorkloadOutputs</a>(dataCollector);</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> }</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  </div>
<div class="line"><a name="l00287"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c"> 287</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">Layer::SetAdditionalInfo</a>(<a class="code" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a>& descriptor)<span class="keyword"> const</span></div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a2f2e6134cabedfc58aa53fe38a2b8a67">m_AdditionalInfoObject</a> = <a class="code" href="classarmnn_1_1_layer.html#ac7170f79bd0eadb1b6153e359c023cc0">m_AdditionalInfoObject</a>.get();</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> }</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  </div>
<div class="line"><a name="l00292"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#a3ff62126ec713a2708e5fbaa6146a7de"> 292</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.html#a3ff62126ec713a2708e5fbaa6146a7de">Layer::CreateTensorHandles</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& registry,</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>& workloadFactory,</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> IsMemoryManaged)</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> {</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx=0; idx < <a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(); idx++)</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  {</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  </div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>& slot = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(idx);</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = slot.<a class="code" href="classarmnn_1_1_output_slot.html#af303cf872a3f95e29992e45224e4cf8e">GetTensorHandleFactoryId</a>();</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  </div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classarmnn_1_1_output_handler.html">OutputHandler</a>& handler = <a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(idx);</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">if</span> (factoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  {</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  handler.<a class="code" href="classarmnn_1_1_output_handler.html#abdad6d5574323cbbca22ddd158e66759">CreateTensorHandles</a>(workloadFactory, IsMemoryManaged);</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  }</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  {</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html">ITensorHandleFactory</a>* handleFactory;</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  handleFactory = registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#ae5ecc42140a12c855554a4a621fc8456">GetFactory</a>(factoryId);</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(handleFactory);</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  handler.<a class="code" href="classarmnn_1_1_output_handler.html#abdad6d5574323cbbca22ddd158e66759">CreateTensorHandles</a>(*handleFactory, IsMemoryManaged);</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  }</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  }</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> }</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  </div>
<div class="line"><a name="l00317"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#a339bef86bc340c3d1393ed83950fe8af"> 317</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.html#a339bef86bc340c3d1393ed83950fe8af">Layer::ReleaseConstantData</a>()</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span> {</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="comment">// Now free up the static data.</span></div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="classarmnn_1_1_layer.html#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a>([](std::shared_ptr<ConstTensorHandle>& handle)</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  {</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  handle.reset();</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  });</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span> }</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  </div>
<div class="line"><a name="l00326"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3"> 326</a></span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3">Layer::GetDataType</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() > 0) <span class="comment">// Ignore the input layer.</span></div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  {</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  }</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span> }</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  </div>
<div class="line"><a name="l00335"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#aac329cade047e952621b59a51a5d5f49"> 335</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.html#aac329cade047e952621b59a51a5d5f49">Layer::ResetPriority</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  m_Priority = 0;</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  m_Visiting = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span> }</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  </div>
<div class="line"><a name="l00341"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#af97a07195a67a638605b3c325763c2dd"> 341</a></span> <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> <a class="code" href="classarmnn_1_1_layer.html#af97a07195a67a638605b3c325763c2dd">Layer::GetPriority</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  constexpr <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> inputPrio = std::numeric_limits<LayerPriority>::lowest();</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  constexpr <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> outputPrio = std::numeric_limits<LayerPriority>::max();</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  </div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  {</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  m_Priority = inputPrio;</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  m_Priority = outputPrio;</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  }</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_Priority == 0)</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span> (m_Visiting)</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_graph_validation_exception.html">GraphValidationException</a>(<span class="stringliteral">"Graph has circular dependencies: cannot walk"</span>);</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  </div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keyword">auto</span> maxPrio = [](<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> prio, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_input_slot.html">InputSlot</a>& slot) -> <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a></div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  {</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a> *outputSlot = slot.GetConnectedOutputSlot();</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">if</span> (outputSlot)</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  {</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& input = outputSlot-><a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordflow">return</span> std::max(prio, input.<a class="code" href="classarmnn_1_1_layer.html#af97a07195a67a638605b3c325763c2dd">GetPriority</a>());</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  }</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  {</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="comment">// unconnected input slot</span></div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keywordflow">return</span> prio;</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  }</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  };</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  </div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  m_Visiting = <span class="keyword">true</span>;</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <a class="code" href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> parentPrio = std::accumulate(<a class="code" href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>().cbegin(), <a class="code" href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>().cend(), 0U, maxPrio);</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  m_Visiting = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  </div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">if</span> (parentPrio >= outputPrio)</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  {</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_graph_validation_exception.html">GraphValidationException</a>(<span class="stringliteral">"Graph has too many edges"</span>);</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  </div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  m_Priority = parentPrio + 1U;</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  }</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  </div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">return</span> m_Priority;</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span> }</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  </div>
<div class="line"><a name="l00391"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776"> 391</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.html#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.html">CheckLocation</a>& location)<span class="keyword"> const</span></div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == expectedConnections);</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  </div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<expectedConnections; ++i)</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  {</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(i).GetConnection() == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  {</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">LayerValidationException</a>(</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  fmt::format(<span class="stringliteral">"Input connection #{0} must be connected "</span></div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="stringliteral">"for {1} layer {2} {3}"</span>,</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  i,</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <a class="code" href="namespacearmnn.html#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(this-><a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>()),</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <a class="code" href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>(),</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  location.<a class="code" href="structarmnn_1_1_check_location.html#a5e3562cda960da001597e7dd5679b140">AsString</a>()));</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  }</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  }</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> }</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  </div>
<div class="line"><a name="l00410"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a"> 410</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">Layer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes)<span class="keyword"> const</span></div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() != 0);</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(<a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() != 0);</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  </div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <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="l00416"></a><span class="lineno"> 416</span>  <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="l00417"></a><span class="lineno"> 417</span>  <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="l00418"></a><span class="lineno"> 418</span>  <span class="comment">// the other cases. So the missing implementation justifies the UnimplementedException.</span></div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  </div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() != <a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>())</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  {</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.html">UnimplementedException</a>(</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  fmt::format(<span class="stringliteral">"Default implementation for InferOutputShapes can only be used for "</span></div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="stringliteral">"layers with the same number of input and output slots. This doesn't "</span></div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="stringliteral">"hold for {0} layer {1} (#inputs={2} #outputs={3}) {4}"</span>,</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <a class="code" href="namespacearmnn.html#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(this-><a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>()),</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>(),</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>(),</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(),</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  }</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">return</span> inputShapes;</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span> }</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  </div>
<div class="line"><a name="l00435"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d"> 435</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">Layer::ValidateAndCopyShape</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape,</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& inferredShape,</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod,</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keyword">const</span> std::string& layerName,</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSlotIndex)</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span> {</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">if</span> (shapeInferenceMethod == <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a>)</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  {</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keywordflow">if</span> (m_AllowExpandedDims)</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  {</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  std::vector<unsigned int> outputDims = <a class="code" href="namespacearmnn_utils.html#ac7f0575b4a8c9ba80c5b0695ada4dd92">armnnUtils::SqueezeDims</a>(outputShape);</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  std::vector<unsigned int> inferredDims = <a class="code" href="namespacearmnn_utils.html#ac7f0575b4a8c9ba80c5b0695ada4dd92">armnnUtils::SqueezeDims</a>(inferredShape);</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  </div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">if</span> (outputDims.size() != inferredDims.size())</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  {</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  std::stringstream ss;</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  ss << layerName << <span class="stringliteral">": TensorShape set on OutputSlot["</span> << outputSlotIndex <<</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="stringliteral">"] does not match the inferred shape. "</span>;</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  ss << outputShape << <span class="stringliteral">" != "</span> << inferredShape;</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">LayerValidationException</a>(ss.str());</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  }</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputDims.size(); ++i)</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  {</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">if</span> (outputDims[i] != inferredDims[i])</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  {</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  std::stringstream ss;</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  ss << layerName << <span class="stringliteral">": TensorShape set on OutputSlot["</span> << outputSlotIndex <<</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="stringliteral">"] does not match the inferred shape at dimension index ["</span>;</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  ss << i << <span class="stringliteral">"] "</span> << outputShape << <span class="stringliteral">" != "</span> << inferredShape;</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">LayerValidationException</a>(ss.str());</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  }</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  }</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  }</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  {</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  ConditionalThrowIfNotEqual<LayerValidationException>(</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  layerName + <span class="stringliteral">": TensorShape set on OutputSlot[0] does not match the inferred shape."</span>,</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  outputShape,</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  inferredShape);</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  }</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  }</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  </div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">if</span> (outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() == <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  {</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  {</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">if</span> (outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a>(i) && outputShape[i] != inferredShape[i])</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  {</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  std::stringstream ss;</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  ss << layerName << <span class="stringliteral">": TensorShape set on OutputSlot["</span> << outputSlotIndex <<</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="stringliteral">"] does not match the inferred shape at dimension index ["</span>;</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  ss << i << <span class="stringliteral">"] "</span> << outputShape << <span class="stringliteral">" != "</span> << inferredShape;</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">LayerValidationException</a>(ss.str());</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  }</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  }</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  }</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  </div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(outputSlotIndex).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  </div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inferredTensorInfo(inferredShape,</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType(),</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  </div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(outputSlotIndex).<a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(inferredTensorInfo);</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span> }</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  </div>
<div class="line"><a name="l00504"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8"> 504</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">Layer::VerifyShapeInferenceType</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape, <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">ShapeInferenceMethod</a> shapeInferenceMethod)</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span> {</div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">if</span> (shapeInferenceMethod == <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a>)</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  {</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  ConditionalThrow<LayerValidationException>(</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() != <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">Dimensionality::NotSpecified</a>,</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="stringliteral">"Dimensionality can not be NotSpecified while using ShapeInferenceMethod::ValidateOnly"</span>);</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  </div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  ConditionalThrow<LayerValidationException>(</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>(),</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="stringliteral">"Unspecified dimension while using ShapeInferenceMethod::ValidateOnly"</span>);</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  }</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span> }</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  </div>
<div class="line"><a name="l00518"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#ac04cd8de9b9185756eb02463ffd432b1"> 518</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.html#ac04cd8de9b9185756eb02463ffd432b1">Layer::SerializeLayerParameters</a>(<a class="code" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a>& fn)<span class="keyword"> const</span></div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  std::string guid = std::to_string(m_Guid);</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  std::string layerType = <a class="code" href="namespacearmnn.html#addb6b14dd1b632263ffe77430259a7c4">GetLayerTypeAsCString</a>(m_Type);</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  std::string backendId = std::string(m_BackendId);</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordflow">if</span> (!(guid.compare(<span class="stringliteral">""</span>) == 0) && !guid.empty())</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  {</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  fn(<span class="stringliteral">"Guid"</span>, guid);</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  }</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keywordflow">if</span>(!(m_LayerName.compare(<span class="stringliteral">""</span>) == 0) && !m_LayerName.empty())</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  {</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  fn(<span class="stringliteral">"LayerName"</span>,m_LayerName);</div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  }</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keywordflow">if</span>(!(layerType.compare(<span class="stringliteral">""</span>) == 0) && !layerType.empty())</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  {</div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  fn(<span class="stringliteral">"LayerType"</span>,layerType);</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  }</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordflow">if</span>(!(backendId.compare(<span class="stringliteral">""</span>) == 0) && !backendId.empty())</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  {</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  fn(<span class="stringliteral">"BackendID"</span>,backendId);</div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  }</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  std::shared_ptr<ActivationDescriptor></div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  activationDescPtr = GetAdditionalInformation<ActivationDescriptor>();</div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  </div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">if</span> (activationDescPtr)</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  {</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <a class="code" href="structarmnn_1_1_stringify_layer_parameters.html#a84990e31a235f27cd3d7f3fc90fa0035">StringifyLayerParameters<ActivationDescriptor>::Serialize</a>(fn, *activationDescPtr.get());</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  }</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span> }</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  </div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span> <span class="comment">// default implementation of ExecuteStrategy</span></div>
<div class="line"><a name="l00549"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 549</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span> }</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  </div>
<div class="line"><a name="l00554"></a><span class="lineno"><a class="line" href="classarmnn_1_1_layer.html#a9114de666bc2d910faa846b04fc26974"> 554</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html#af978f897fb7e115a901cb7ed95f8e532">Layer::ConstantTensors</a> <a class="code" href="classarmnn_1_1_layer.html#a9114de666bc2d910faa846b04fc26974">Layer::GetConstantTensorsByRef</a>()</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span> {</div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a> *constThis = <span class="keyword">const_cast<</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_layer.html">Layer</a>*<span class="keyword">></span>(<span class="keyword">this</span>);</div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html#af978f897fb7e115a901cb7ed95f8e532">ConstantTensors</a> res;</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  </div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">ImmutableConstantTensors</a> immutableData = constThis-><a class="code" href="classarmnn_1_1_layer.html#a9114de666bc2d910faa846b04fc26974">GetConstantTensorsByRef</a>();</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> i : immutableData)</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  {</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  res.push_back(<span class="keyword">const_cast<</span>std::shared_ptr<ConstTensorHandle>&<span class="keyword">></span>(i.get()));</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">return</span> res;</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span> }</div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  </div>
<div class="line"><a name="l00567"></a><span class="lineno"><a class="line" href="classarmnn_1_1_output_slot.html#a93872476697f5088e68bc0053d387469"> 567</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>& <a class="code" href="classarmnn_1_1_output_slot.html#a93872476697f5088e68bc0053d387469">OutputSlot::GetOwningIConnectableLayer</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keywordflow">return</span> m_OwningLayer;</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span> }</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  </div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>& <a class="code" href="classarmnn_1_1_output_slot.html#a93872476697f5088e68bc0053d387469">OutputSlot::GetOwningIConnectableLayer</a>()</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span> {</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <span class="keywordflow">return</span> m_OwningLayer;</div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span> }</div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  </div>
<div class="line"><a name="l00577"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.html#a93872476697f5088e68bc0053d387469"> 577</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>& <a class="code" href="classarmnn_1_1_input_slot.html#a93872476697f5088e68bc0053d387469">InputSlot::GetOwningIConnectableLayer</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  <span class="keywordflow">return</span> m_OwningLayer;</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span> }</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  </div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>& <a class="code" href="classarmnn_1_1_input_slot.html#a93872476697f5088e68bc0053d387469">InputSlot::GetOwningIConnectableLayer</a>()</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span> {</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">return</span> m_OwningLayer;</div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span> }</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  </div>
<div class="line"><a name="l00587"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.html#a7f4ecb20ab4968de368166d8cbb2b1a3"> 587</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_input_slot.html#a7f4ecb20ab4968de368166d8cbb2b1a3">InputSlot::SetTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> tensorInfo)</div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span> {</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  m_OverriddenTensorInfo = <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a>(tensorInfo);</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span> }</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  </div>
<div class="line"><a name="l00592"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65"> 592</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& <a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">InputSlot::GetTensorInfo</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">if</span> (m_OverriddenTensorInfo.has_value())</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  {</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">return</span> m_OverriddenTensorInfo.value();</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  }</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  {</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_input_slot.html#a9e3eee087babbe637e77f85404b9d761">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  }</div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span> }</div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  </div>
<div class="line"><a name="l00604"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.html#ac51cbac15935434659c8504d6db54e28"> 604</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_input_slot.html#ac51cbac15935434659c8504d6db54e28">InputSlot::IsTensorInfoSet</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keywordflow">return</span> m_OverriddenTensorInfo.has_value() || (<a class="code" href="classarmnn_1_1_input_slot.html#a9e3eee087babbe637e77f85404b9d761">GetConnection</a>() && <a class="code" href="classarmnn_1_1_input_slot.html#a9e3eee087babbe637e77f85404b9d761">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.html#ab4e57caf059794897b17266090ebcb39">IsTensorInfoSet</a>());</div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span> }</div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  </div>
<div class="line"><a name="l00609"></a><span class="lineno"><a class="line" href="classarmnn_1_1_input_slot.html#a2edd5f2c81189235eb7326dda606f657"> 609</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_input_slot.html#a2edd5f2c81189235eb7326dda606f657">InputSlot::IsTensorInfoOverridden</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keywordflow">return</span> m_OverriddenTensorInfo.has_value();</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span> }</div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  </div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span> } <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_af29f6883785691ef946d0c32b6d2f338"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#af29f6883785691ef946d0c32b6d2f338">armnn::OutputSlot::SetTensorHandleFactory</a></div><div class="ttdeci">void SetTensorHandleFactory(const ITensorHandleFactory::FactoryId &id)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00200">Layer.cpp:200</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a7f4ecb20ab4968de368166d8cbb2b1a3"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a7f4ecb20ab4968de368166d8cbb2b1a3">armnn::InputSlot::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo tensorInfo) override</div><div class="ttdoc">Sets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00587">Layer.cpp:587</a></div></div>
<div class="ttc" id="anamespacearm_html"><div class="ttname"><a href="namespacearm.html">arm</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8hpp_source.html#l00015">BackendRegistry.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ab074017b8b2359ed28af6f2de7c36cdc"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ab074017b8b2359ed28af6f2de7c36cdc">armnn::OutputSlot::operator==</a></div><div class="ttdeci">bool operator==(const OutputSlot &other) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00172">Layer.cpp:172</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="anamespacearmnn_html_addb6b14dd1b632263ffe77430259a7c4"><div class="ttname"><a href="namespacearmnn.html#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.html#l00013">InternalTypes.cpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00092">Layer.cpp:92</a></div></div>
<div class="ttc" id="a_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html_ac7f0575b4a8c9ba80c5b0695ada4dd92"><div class="ttname"><a href="namespacearmnn_utils.html#ac7f0575b4a8c9ba80c5b0695ada4dd92">armnnUtils::SqueezeDims</a></div><div class="ttdeci">std::vector< unsigned int > SqueezeDims(const armnn::TensorShape &tensorShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00195">TensorUtils.cpp:195</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ac5f74c7858eb0b7c1d676230016339c2"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ac5f74c7858eb0b7c1d676230016339c2">armnn::OutputSlot::ValidateTensorShape</a></div><div class="ttdeci">bool ValidateTensorShape(const TensorShape &shape) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00106">Layer.cpp:106</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ab00cd1d8962a1927d0302901cb8410d7"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ab00cd1d8962a1927d0302901cb8410d7">armnn::OutputSlot::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler & GetOutputHandler() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00139">Layer.hpp:139</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a386acff5f8430245239ce58d00ba7576"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00319">Layer.hpp:319</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_ac7170f79bd0eadb1b6153e359c023cc0"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00427">Layer.hpp:427</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_html"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.html#l00023">TensorHandleFactoryRegistry.hpp:23</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html"><div class="ttname"><a href="classarmnn_1_1_output_slot.html">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00100">Layer.hpp:100</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7e5c5771d741dd5473989047a9314728"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">armnn::OutputSlot::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &tensorInfo) override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00087">Layer.cpp:87</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a3919600d4aa8d5cd801a0e0740f62308"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#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.html#l00211">Tensor.cpp:211</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_html_ae5ecc42140a12c855554a4a621fc8456"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html#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.html#l00039">TensorHandleFactoryRegistry.cpp:39</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a419086ecb4dc9d0f9e5d8933c87e2ea2"><div class="ttname"><a href="namespacearmnn.html#a419086ecb4dc9d0f9e5d8933c87e2ea2">armnn::LayerPriority</a></div><div class="ttdeci">unsigned int LayerPriority</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00227">Layer.hpp:227</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="a_graph_8hpp_html"><div class="ttname"><a href="_graph_8hpp.html">Graph.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_handler_html_a97db12c41024f5545ef5cc4153e5443b"><div class="ttname"><a href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">armnn::OutputHandler::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &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.html#l00015">OutputHandler.cpp:15</a></div></div>
<div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00435">Layer.cpp:435</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a687ea562cfdf653499a0980537c04afb"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a687ea562cfdf653499a0980537c04afb">armnn::OutputSlot::DisconnectAll</a></div><div class="ttdeci">void DisconnectAll()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00136">Layer.cpp:136</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a93872476697f5088e68bc0053d387469"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a93872476697f5088e68bc0053d387469">armnn::InputSlot::GetOwningIConnectableLayer</a></div><div class="ttdeci">const IConnectableLayer & GetOwningIConnectableLayer() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00577">Layer.cpp:577</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_af978f897fb7e115a901cb7ed95f8e532"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#af978f897fb7e115a901cb7ed95f8e532">armnn::IConnectableLayer::ConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >> ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00136">INetwork.hpp:136</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_acccb75bd1d68a81f6ddd61687f51c5a1"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#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.html#l00241">Tensor.cpp:241</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_aa44d91037bba52ba0dec6577509ade3b"><div class="ttname"><a href="classarmnn_1_1_layer.html#aa44d91037bba52ba0dec6577509ade3b">armnn::Layer::m_OutputHandlers</a></div><div class="ttdeci">std::vector< OutputHandler > m_OutputHandlers</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00440">Layer.hpp:440</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_handler_html_abdad6d5574323cbbca22ddd158e66759"><div class="ttname"><a href="classarmnn_1_1_output_handler.html#abdad6d5574323cbbca22ddd158e66759">armnn::OutputHandler::CreateTensorHandles</a></div><div class="ttdeci">void CreateTensorHandles(const IWorkloadFactory &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.html#l00021">OutputHandler.cpp:21</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a9114de666bc2d910faa846b04fc26974"><div class="ttname"><a href="classarmnn_1_1_layer.html#a9114de666bc2d910faa846b04fc26974">armnn::Layer::GetConstantTensorsByRef</a></div><div class="ttdeci">virtual ConstantTensors GetConstantTensorsByRef() override final</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00554">Layer.cpp:554</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a93872476697f5088e68bc0053d387469"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a93872476697f5088e68bc0053d387469">armnn::OutputSlot::GetOwningIConnectableLayer</a></div><div class="ttdeci">const IConnectableLayer & GetOwningIConnectableLayer() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00567">Layer.cpp:567</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_af5f530544d09a44d726f24702b67b35b"><div class="ttname"><a href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">armnn::Layer::GetInputSlots</a></div><div class="ttdeci">const std::vector< InputSlot > & GetInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00258">Layer.hpp:258</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_adcfb97035799ea4c043f9ef370714815"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(InputSlot &destination)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00112">Layer.cpp:112</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div>
<div class="ttc" id="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#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.html#l00015">Assert.hpp:15</a></div></div>
<div class="ttc" id="astructarmnn_1_1_check_location_html_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="structarmnn_1_1_check_location.html#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.html#l00029">Exceptions.hpp:29</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ac51cbac15935434659c8504d6db54e28"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00097">Layer.cpp:97</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a5b481a458c19fd3807b6e04b94b9b174"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00215">Layer.cpp:215</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_handler_html_afe3429ac30b180c11f01ea0f9f546f0e"><div class="ttname"><a href="classarmnn_1_1_output_handler.html#afe3429ac30b180c11f01ea0f9f546f0e">armnn::OutputHandler::GetData</a></div><div class="ttdeci">ITensorHandle * GetData() const</div><div class="ttdoc">Gets the allocated tensor memory.</div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8hpp_source.html#l00046">OutputHandler.hpp:46</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00247">Layer.cpp:247</a></div></div>
<div class="ttc" id="a_numeric_cast_8hpp_html"><div class="ttname"><a href="_numeric_cast_8hpp.html">NumericCast.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a3ff62126ec713a2708e5fbaa6146a7de"><div class="ttname"><a href="classarmnn_1_1_layer.html#a3ff62126ec713a2708e5fbaa6146a7de">armnn::Layer::CreateTensorHandles</a></div><div class="ttdeci">virtual void CreateTensorHandles(const TensorHandleFactoryRegistry &registry, const IWorkloadFactory &factory, const bool IsMemoryManaged=true)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00292">Layer.cpp:292</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a6bd5f82d7627668e46dee6a6c699480b"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00195">Layer.cpp:195</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00332">Layer.hpp:332</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00050">ITensorHandleFactory.hpp:50</a></div></div>
<div class="ttc" id="a_tensor_utils_8hpp_html"><div class="ttname"><a href="_tensor_utils_8hpp.html">TensorUtils.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_aba5c20cadbebd2e7ba67e20a47e31472"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">armnn::IConnectableLayer::ImmutableConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > >> ImmutableConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00141">INetwork.hpp:141</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00592">Layer.cpp:592</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a82d949cbbc7667d9f13e3f2a474cad36"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a82d949cbbc7667d9f13e3f2a474cad36">armnn::ITensorHandle::DecorateTensorHandle</a></div><div class="ttdeci">virtual std::shared_ptr< ITensorHandle > DecorateTensorHandle(const TensorInfo &tensorInfo)</div><div class="ttdoc">Returns a decorated version of this TensorHandle allowing us to override the TensorInfo for it.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00098">ITensorHandle.hpp:98</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_ac04cd8de9b9185756eb02463ffd432b1"><div class="ttname"><a href="classarmnn_1_1_layer.html#ac04cd8de9b9185756eb02463ffd432b1">armnn::Layer::SerializeLayerParameters</a></div><div class="ttdeci">virtual void SerializeLayerParameters(ParameterStringifyFunction &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.html#l00518">Layer.cpp:518</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a27545b353e48a739981d345b64bb9dc9"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00159">Layer.cpp:159</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00132">Layer.hpp:132</a></div></div>
<div class="ttc" id="astructarmnn_1_1_check_location_html"><div class="ttname"><a href="structarmnn_1_1_check_location.html">armnn::CheckLocation</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00014">Exceptions.hpp:14</a></div></div>
<div class="ttc" id="anamespacearmnn_html_aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016aec0fc0100c4fc1ce4eea230c3dc10360">armnn::EdgeStrategy::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#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.html#l00174">Tensor.cpp:174</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ac72a192dfcfa19e6ce826f99b415a11d"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ac72a192dfcfa19e6ce826f99b415a11d">armnn::OutputSlot::Disconnect</a></div><div class="ttdeci">void Disconnect(InputSlot &slot)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00120">Layer.cpp:120</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_handler_html_aca366a3098776fdd06f23e9f9329721b"><div class="ttname"><a href="classarmnn_1_1_output_handler.html#aca366a3098776fdd06f23e9f9329721b">armnn::OutputHandler::IsTensorInfoSet</a></div><div class="ttdeci">bool IsTensorInfoSet() const</div><div class="ttdoc">Returns true if SetTensorInfo() has been called at least once on this.</div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8hpp_source.html#l00058">OutputHandler.hpp:58</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_workload_data_collector_html"><div class="ttname"><a href="classarmnn_1_1_workload_data_collector.html">armnn::WorkloadDataCollector</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_collector_8hpp_source.html#l00015">WorkloadDataCollector.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a25b0119c02aece1d341b99953d169c0f"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00158">Layer.hpp:158</a></div></div>
<div class="ttc" id="astructarmnn_1_1_empty_optional_html"><div class="ttname"><a href="structarmnn_1_1_empty_optional.html">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.html#l00032">Optional.hpp:32</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ac51cbac15935434659c8504d6db54e28"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ac51cbac15935434659c8504d6db54e28">armnn::InputSlot::IsTensorInfoSet</a></div><div class="ttdeci">bool IsTensorInfoSet() const override</div><div class="ttdoc">Returns true if this InputSlot either has an overridden TensorInfo for this InputSlot that was set th...</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00604">Layer.cpp:604</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html">armnn::QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00024">WorkloadData.hpp:24</a></div></div>
<div class="ttc" id="anamespacearmnn_html_aff209afc1dc598da399e3e78617ce016"><div class="ttname"><a href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016">armnn::EdgeStrategy</a></div><div class="ttdeci">EdgeStrategy</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00104">ITensorHandleFactory.hpp:104</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a8dc12f0ee5b232d397bd18ced1a72a64"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00343">Layer.hpp:343</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler & GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00245">Layer.hpp:245</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00335">Layer.hpp:335</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a8c42c6647e31ebe525aeba878d133e45"><div class="ttname"><a href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">armnn::ParameterStringifyFunction</a></div><div class="ttdeci">std::function< void(const std::string &name, const std::string &value)> ParameterStringifyFunction</div><div class="ttdef"><b>Definition:</b> <a href="_serialize_layer_parameters_8hpp_source.html#l00014">SerializeLayerParameters.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00504">Layer.cpp:504</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00046">ITensorHandleFactory.hpp:46</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a2f2e6134cabedfc58aa53fe38a2b8a67"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#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.html#l00028">WorkloadData.hpp:28</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00287">Layer.cpp:287</a></div></div>
<div class="ttc" id="astructarmnn_1_1_stringify_layer_parameters_html_a84990e31a235f27cd3d7f3fc90fa0035"><div class="ttname"><a href="structarmnn_1_1_stringify_layer_parameters.html#a84990e31a235f27cd3d7f3fc90fa0035">armnn::StringifyLayerParameters::Serialize</a></div><div class="ttdeci">static void Serialize(ParameterStringifyFunction &, const LayerParameter &)</div><div class="ttdef"><b>Definition:</b> <a href="_serialize_layer_parameters_8hpp_source.html#l00025">SerializeLayerParameters.hpp:25</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a9e3eee087babbe637e77f85404b9d761"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a9e3eee087babbe637e77f85404b9d761">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.html#l00219">Layer.hpp:219</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a></div><div class="ttdeci">@ NotSpecified</div></div>
<div class="ttc" id="astructarmnn_1_1_base_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.html">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00022">Descriptors.hpp:22</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a2edd5f2c81189235eb7326dda606f657"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a2edd5f2c81189235eb7326dda606f657">armnn::InputSlot::IsTensorInfoOverridden</a></div><div class="ttdeci">bool IsTensorInfoOverridden() const override</div><div class="ttdoc">Returns true if this InputSlot has an overridden TensorInfo that was set through a call to SetTensorI...</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00609">Layer.cpp:609</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_handler_html"><div class="ttname"><a href="classarmnn_1_1_output_handler.html">armnn::OutputHandler</a></div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8hpp_source.html#l00028">OutputHandler.hpp:28</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
<div class="ttc" id="aclassarmnn_1_1_workload_data_collector_html_a0c85ad7fea8c31febbd5ae17ab3195f1"><div class="ttname"><a href="classarmnn_1_1_workload_data_collector.html#a0c85ad7fea8c31febbd5ae17ab3195f1">armnn::WorkloadDataCollector::Push</a></div><div class="ttdeci">void Push(ITensorHandle *handle, const TensorInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_collector_8hpp_source.html#l00024">WorkloadDataCollector.hpp:24</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a339bef86bc340c3d1393ed83950fe8af"><div class="ttname"><a href="classarmnn_1_1_layer.html#a339bef86bc340c3d1393ed83950fe8af">armnn::Layer::ReleaseConstantData</a></div><div class="ttdeci">virtual void ReleaseConstantData()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00317">Layer.cpp:317</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a19d30f83e90f2612e6aec510715f790d"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a19d30f83e90f2612e6aec510715f790d">armnn::OutputSlot::MoveAllConnections</a></div><div class="ttdeci">void MoveAllConnections(OutputSlot &destination)</div><div class="ttdoc">Moves all connections to another OutputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00145">Layer.cpp:145</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string & GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00240">Layer.hpp:240</a></div></div>
<div class="ttc" id="a_types_8hpp_html_af22094b802160f09f7c89ad9eee10084"><div class="ttname"><a href="_types_8hpp.html#af22094b802160f09f7c89ad9eee10084">LayerGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid LayerGuid</div><div class="ttdoc">Define LayerGuid type.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00026">Types.hpp:26</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00334">Layer.hpp:334</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html"><div class="ttname"><a href="classarmnn_1_1_input_slot.html">armnn::InputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00042">Layer.hpp:42</a></div></div>
<div class="ttc" id="anamespacearmnn_html_adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1"><div class="ttname"><a href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">armnn::ShapeInferenceMethod::ValidateOnly</a></div><div class="ttdeci">@ ValidateOnly</div><div class="ttdoc">Validate all output shapes.</div></div>
<div class="ttc" id="anamespacearmnn_html_adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb"><div class="ttname"><a href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">armnn::ShapeInferenceMethod::InferAndValidate</a></div><div class="ttdeci">@ InferAndValidate</div><div class="ttdoc">Infer missing output shapes and validate all output shapes.</div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a5a0a7224d93d14db044426a3878dab4d"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a5a0a7224d93d14db044426a3878dab4d">armnn::InputSlot::Insert</a></div><div class="ttdeci">void Insert(Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00048">Layer.cpp:48</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a3854dece5adbc9c94f7e460b58b82be9"><div class="ttname"><a href="namespacearmnn.html#a3854dece5adbc9c94f7e460b58b82be9">armnn::AssertNumberOfInputSlots</a></div><div class="ttdeci">void AssertNumberOfInputSlots(Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00028">Layer.cpp:28</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3">armnn::Layer::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00326">Layer.cpp:326</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00286">Layer.hpp:286</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div><div class="ttdeci">@ Specified</div></div>
<div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ae34c07e230a32ea853faed3fefc804f3"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#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.html#l00063">Layer.hpp:63</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_ab4e57caf059794897b17266090ebcb39"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#ab4e57caf059794897b17266090ebcb39">armnn::IOutputSlot::IsTensorInfoSet</a></div><div class="ttdeci">virtual bool IsTensorInfoSet() const =0</div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::Layer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &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.html#l00549">Layer.cpp:549</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a3f80ddd1f76ed4ad599e0d1a00659ee5"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00210">Layer.cpp:210</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_af303cf872a3f95e29992e45224e4cf8e"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00205">Layer.cpp:205</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#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.html#l00056">Layer.hpp:56</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a84ff600212ba26e665de9b978ec896a4"><div class="ttname"><a href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">armnn::Layer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">virtual void ValidateTensorShapesFromInputs()=0</div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_graph_validation_exception.html">armnn::GraphValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00110">Exceptions.hpp:110</a></div></div>
<div class="ttc" id="a_layer_8hpp_html"><div class="ttname"><a href="_layer_8hpp.html">Layer.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">armnn::Layer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &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.html#l00410">Layer.cpp:410</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_af97a07195a67a638605b3c325763c2dd"><div class="ttname"><a href="classarmnn_1_1_layer.html#af97a07195a67a638605b3c325763c2dd">armnn::Layer::GetPriority</a></div><div class="ttdeci">LayerPriority GetPriority() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00341">Layer.cpp:341</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00049">ITensorHandleFactory.hpp:49</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00391">Layer.cpp:391</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00080">INetwork.hpp:80</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div>
<div class="ttc" id="aclassarmnn_1_1_output_handler_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_output_handler.html#a66e8f43a5b42b500871ed96e15419567">armnn::OutputHandler::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdoc">Gets the matching TensorInfo for the output.</div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8hpp_source.html#l00042">OutputHandler.hpp:42</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_unimplemented_exception_html"><div class="ttname"><a href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00098">Exceptions.hpp:98</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div>
<div class="ttc" id="anamespacearmnn_html_adf57837d00e8352d9b5cc5ab1fb5fee9"><div class="ttname"><a href="namespacearmnn.html#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.html#l00235">Types.hpp:235</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a5a212540c00931bd2a4b4041beda33ae"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#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.html#l00092">Tensor.hpp:92</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#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.html#l00491">Types.hpp:491</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a048e8c1536cf6b8871b093a73a4a3a85"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00075">Layer.cpp:75</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_strategy_html_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div>
<div class="ttc" id="aclassarmnn_1_1_output_handler_html_a9a0cf27287d6b104547d2177e4a0a3ee"><div class="ttname"><a href="classarmnn_1_1_output_handler.html#a9a0cf27287d6b104547d2177e4a0a3ee">armnn::OutputHandler::CollectWorkloadOutputs</a></div><div class="ttdeci">void CollectWorkloadOutputs(WorkloadDataCollector &dataCollector) const</div><div class="ttdoc">Fill the outputs for a given queue descriptor.</div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8cpp_source.html#l00033">OutputHandler.cpp:33</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_aac329cade047e952621b59a51a5d5f49"><div class="ttname"><a href="classarmnn_1_1_layer.html#aac329cade047e952621b59a51a5d5f49">armnn::Layer::ResetPriority</a></div><div class="ttdeci">void ResetPriority() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00335">Layer.cpp:335</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div>
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