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<div class="title">NetworkUtils.cpp</div> </div>
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<a href="_network_utils_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>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_network_utils_8hpp.html">NetworkUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_subgraph_view_selector_8hpp.html">SubgraphViewSelector.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_exceptions_8hpp.html">armnn/Exceptions.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_backend_registry_8hpp.html">armnn/BackendRegistry.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;{</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;{</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keywordtype">void</span> UpdateOutputSlotFp16ToFp32(OutputSlot&amp; outputSlot)</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keyword">const</span> TensorInfo&amp; origTensorInfo = outputSlot.GetTensorInfo();</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; TensorInfo newTensorInfo(origTensorInfo);</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; newTensorInfo.SetDataType(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; outputSlot.SetTensorInfo(newTensorInfo);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;}</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="keywordtype">void</span> ChangeOutputFp16ToFp32(Layer&amp; layer)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;{</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; outputSlot = layer.BeginOutputSlots(); outputSlot != layer.EndOutputSlots(); ++outputSlot)</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keywordflow">if</span> (outputSlot-&gt;GetTensorInfo().GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; UpdateOutputSlotFp16ToFp32(*outputSlot);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; }</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; }</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;}</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;} <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb"> 40</a></span>&#160;std::vector&lt;ConvertFp16ToFp32Layer*&gt; <a class="code" href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb">InsertConvertFp16ToFp32LayersBefore</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>&amp; graph,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <a class="code" href="classarmnn_1_1_layer.html">Layer</a>&amp; layer,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordtype">bool</span> expectCorrectInputType)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; std::vector&lt;ConvertFp16ToFp32Layer*&gt; convertLayers;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; convertLayers.reserve(layer.<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>());</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="comment">// Insert a ConvertFp16ToFp32Layer before each input slot</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; inputSlot = layer.<a class="code" href="classarmnn_1_1_layer.html#af6cb8de21ef0da269ec9b67755ae92a0">BeginInputSlots</a>(); inputSlot != layer.<a class="code" href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">EndInputSlots</a>(); ++inputSlot)</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordtype">bool</span> allowInsert = <span class="keyword">true</span>;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keywordflow">if</span> (expectCorrectInputType)</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; {</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="comment">// Only insert ConvertFp16ToFp32Layer before FP16 input slots</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>* connectedOutputSlot = inputSlot-&gt;GetConnectedOutputSlot();</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; allowInsert =</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; connectedOutputSlot &amp;&amp; connectedOutputSlot-&gt;<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>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">if</span> (allowInsert)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keyword">const</span> std::string name =</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; std::string(<span class="stringliteral">&quot;convert_fp16_to_fp32-&quot;</span> + std::to_string(inputSlot-&gt;GetSlotIndex()) + <span class="stringliteral">&quot;-&quot;</span>) +</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; layer.<a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>();</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html">ConvertFp16ToFp32Layer</a>* convertLayer =</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; graph.<a class="code" href="classarmnn_1_1_graph.html#a3ff30c6669fdc69de1f5be1f89bacc3f">InsertNewLayer</a>&lt;<a class="code" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html">ConvertFp16ToFp32Layer</a>&gt;(*inputSlot, name.c_str());</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> convertInfo = convertLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-&gt;<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; convertInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; convertLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>().<a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(convertInfo);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; convertLayers.emplace_back(convertLayer);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; }</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">return</span> convertLayers;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;}</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3"> 79</a></span>&#160;std::vector&lt;ConvertFp32ToFp16Layer*&gt; <a class="code" href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3">InsertConvertFp32ToFp16LayersAfter</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>&amp; graph, <a class="code" href="classarmnn_1_1_layer.html">Layer</a>&amp; layer)</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;{</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots = layer.<a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>();</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; std::vector&lt;ConvertFp32ToFp16Layer*&gt; convertLayers;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; convertLayers.reserve(numOutputSlots);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="comment">// Update FP16 output slots to FP32 on current layer</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; ChangeOutputFp16ToFp32(layer);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="comment">// Insert a ConvertFp32ToFp16Layer after each FP32 output slot</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex = 0u; slotIndex &lt; numOutputSlots; ++slotIndex)</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>&amp; outputSlot = layer.<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(slotIndex);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordflow">if</span>(outputSlot.<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>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keyword">const</span> std::string name =</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; std::string(<span class="stringliteral">&quot;convert_fp32_to_fp16-&quot;</span> + std::to_string(slotIndex) + <span class="stringliteral">&quot;-&quot;</span>) + layer.<a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>();</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html">ConvertFp32ToFp16Layer</a>* convertLayer =</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; graph.<a class="code" href="classarmnn_1_1_graph.html#a3ff30c6669fdc69de1f5be1f89bacc3f">InsertNewLayer</a>&lt;<a class="code" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html">ConvertFp32ToFp16Layer</a>&gt;(outputSlot, name.c_str());</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> convertInfo = convertLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-&gt;<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; convertInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; convertLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>().<a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(convertInfo);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; convertLayers.emplace_back(convertLayer);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="keywordflow">return</span> convertLayers;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;}</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a2616ffdae2db993af5c08019fb61860a"> 112</a></span>&#160;std::vector&lt;DebugLayer*&gt; <a class="code" href="namespacearmnn.html#a2616ffdae2db993af5c08019fb61860a">InsertDebugLayerAfter</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>&amp; graph, <a class="code" href="classarmnn_1_1_layer.html">Layer</a>&amp; layer)</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;{</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; std::vector&lt;DebugLayer*&gt; debugLayers;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; debugLayers.reserve(layer.<a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>());</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="comment">// Connect a DebugLayer to each output slot of the layer</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> outputSlot = layer.<a class="code" href="classarmnn_1_1_layer.html#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a>(); outputSlot != layer.<a class="code" href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">EndOutputSlots</a>(); ++outputSlot)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keyword">const</span> std::string debugName = std::string(<span class="stringliteral">&quot;DebugLayerAfter&quot;</span>) + layer.<a class="code" href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>();</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <a class="code" href="classarmnn_1_1_debug_layer.html">DebugLayer</a>* debugLayer =</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; graph.<a class="code" href="classarmnn_1_1_graph.html#a3ff30c6669fdc69de1f5be1f89bacc3f">InsertNewLayer</a>&lt;<a class="code" href="classarmnn_1_1_debug_layer.html">DebugLayer</a>&gt;(*outputSlot, debugName.c_str());</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="comment">// Sets output tensor info for the debug layer.</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; BOOST_ASSERT(debugLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>() == &amp;(*outputSlot));</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> debugInfo = debugLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-&gt;<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; debugLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>().<a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(debugInfo);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="comment">// NOTE: It is OK to do this because DebugLayer is only supported on CpuRef</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; debugLayer-&gt;<a class="code" href="classarmnn_1_1_layer.html#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">Compute::CpuRef</a>);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; debugLayers.emplace_back(debugLayer);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; }</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keywordflow">return</span> debugLayers;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;}</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_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="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00308">Layer.hpp:308</a></div></div>
<div class="ttc" id="classarmnn_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#l00055">Layer.hpp:55</a></div></div>
<div class="ttc" id="classarmnn_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="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00305">Layer.hpp:305</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_af6cb8de21ef0da269ec9b67755ae92a0"><div class="ttname"><a href="classarmnn_1_1_layer.html#af6cb8de21ef0da269ec9b67755ae92a0">armnn::Layer::BeginInputSlots</a></div><div class="ttdeci">std::vector&lt; InputSlot &gt;::iterator BeginInputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00235">Layer.hpp:235</a></div></div>
<div class="ttc" id="_subgraph_view_selector_8hpp_html"><div class="ttname"><a href="_subgraph_view_selector_8hpp.html">SubgraphViewSelector.hpp</a></div></div>
<div class="ttc" id="_exceptions_8hpp_html"><div class="ttname"><a href="_exceptions_8hpp.html">Exceptions.hpp</a></div></div>
<div class="ttc" id="classarmnn_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#l00083">Layer.hpp:83</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_a9752e12d6b79e18da1a25f76159d2a72"><div class="ttname"><a href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">armnn::Layer::EndInputSlots</a></div><div class="ttdeci">std::vector&lt; InputSlot &gt;::iterator EndInputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00236">Layer.hpp:236</a></div></div>
<div class="ttc" id="classarmnn_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#l00209">Layer.hpp:209</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="classarmnn_1_1_convert_fp32_to_fp16_layer_html"><div class="ttname"><a href="classarmnn_1_1_convert_fp32_to_fp16_layer.html">armnn::ConvertFp32ToFp16Layer</a></div><div class="ttdoc">This layer converts data type Float 32 to Float 16. </div><div class="ttdef"><b>Definition:</b> <a href="_convert_fp32_to_fp16_layer_8hpp_source.html#l00013">ConvertFp32ToFp16Layer.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_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 &amp; GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00216">Layer.hpp:216</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="namespacearmnn_html_abf625e50a5eaeafce5b39580dc95a9d3"><div class="ttname"><a href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3">armnn::InsertConvertFp32ToFp16LayersAfter</a></div><div class="ttdeci">std::vector&lt; ConvertFp32ToFp16Layer * &gt; InsertConvertFp32ToFp16LayersAfter(Graph &amp;graph, Layer &amp;layer)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.html#l00079">NetworkUtils.cpp:79</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_a3f6ad59212fa8a47c9265162fff8a274"><div class="ttname"><a href="classarmnn_1_1_layer.html#a3f6ad59212fa8a47c9265162fff8a274">armnn::Layer::SetBackendId</a></div><div class="ttdeci">void SetBackendId(const BackendId &amp;id)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00264">Layer.hpp:264</a></div></div>
<div class="ttc" id="classarmnn_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 &amp;tensorInfo) override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00058">Layer.cpp:58</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a71975fcec1464d639f1a78f73164d1bd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">armnn::TensorInfo::SetDataType</a></div><div class="ttdeci">void SetDataType(DataType type)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00096">Tensor.hpp:96</a></div></div>
<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
<div class="ttc" id="namespacearmnn_html_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdoc">CPU Execution: Reference C++ kernels. </div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_a55f76d98fcd2f5cdac3e2b14536cb7ab"><div class="ttname"><a href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">armnn::Layer::EndOutputSlots</a></div><div class="ttdeci">std::vector&lt; OutputSlot &gt;::iterator EndOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00240">Layer.hpp:240</a></div></div>
<div class="ttc" id="_network_utils_8hpp_html"><div class="ttname"><a href="_network_utils_8hpp.html">NetworkUtils.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_debug_layer_html"><div class="ttname"><a href="classarmnn_1_1_debug_layer.html">armnn::DebugLayer</a></div><div class="ttdoc">This layer visualizes the data flowing through the network. </div><div class="ttdef"><b>Definition:</b> <a href="_debug_layer_8hpp_source.html#l00013">DebugLayer.hpp:13</a></div></div>
<div class="ttc" id="_backend_registry_8hpp_html"><div class="ttname"><a href="_backend_registry_8hpp.html">BackendRegistry.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_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#l00095">Tensor.hpp:95</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_a817d4be6dd88f532d36f51748ec14185"><div class="ttname"><a href="classarmnn_1_1_layer.html#a817d4be6dd88f532d36f51748ec14185">armnn::Layer::BeginOutputSlots</a></div><div class="ttdeci">std::vector&lt; OutputSlot &gt;::iterator BeginOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00239">Layer.hpp:239</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad31c56533e4f9f9f51719599fbfcf7bb"><div class="ttname"><a href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb">armnn::InsertConvertFp16ToFp32LayersBefore</a></div><div class="ttdeci">std::vector&lt; ConvertFp16ToFp32Layer * &gt; InsertConvertFp16ToFp32LayersBefore(Graph &amp;graph, Layer &amp;layer, bool expectCorrectInputType)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.html#l00040">NetworkUtils.cpp:40</a></div></div>
<div class="ttc" id="namespacearmnn_html_a2616ffdae2db993af5c08019fb61860a"><div class="ttname"><a href="namespacearmnn.html#a2616ffdae2db993af5c08019fb61860a">armnn::InsertDebugLayerAfter</a></div><div class="ttdeci">std::vector&lt; DebugLayer * &gt; InsertDebugLayerAfter(Graph &amp;graph, Layer &amp;layer)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.html#l00112">NetworkUtils.cpp:112</a></div></div>
<div class="ttc" id="classarmnn_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="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00307">Layer.hpp:307</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_html_a3ff30c6669fdc69de1f5be1f89bacc3f"><div class="ttname"><a href="classarmnn_1_1_graph.html#a3ff30c6669fdc69de1f5be1f89bacc3f">armnn::Graph::InsertNewLayer</a></div><div class="ttdeci">LayerT * InsertNewLayer(InputSlot &amp;insertBefore, Args &amp;&amp;... args)</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00409">Graph.hpp:409</a></div></div>
<div class="ttc" id="classarmnn_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 &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00063">Layer.cpp:63</a></div></div>
<div class="ttc" id="classarmnn_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 &amp; GetOutputSlot(unsigned int index=0) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00312">Layer.hpp:312</a></div></div>
<div class="ttc" id="classarmnn_1_1_convert_fp16_to_fp32_layer_html"><div class="ttname"><a href="classarmnn_1_1_convert_fp16_to_fp32_layer.html">armnn::ConvertFp16ToFp32Layer</a></div><div class="ttdoc">This layer converts data type Float 16 to Float 32. </div><div class="ttdef"><b>Definition:</b> <a href="_convert_fp16_to_fp32_layer_8hpp_source.html#l00014">ConvertFp16ToFp32Layer.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_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 &amp; GetInputSlot(unsigned int index) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00310">Layer.hpp:310</a></div></div>
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