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95 <div class="summary">
96<a href="#pub-methods">Public Member Functions</a> &#124;
97<a href="#pro-methods">Protected Member Functions</a> &#124;
98<a href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl-members.html">List of all members</a> </div>
99 <div class="headertitle">
100<div class="title">ConvertFp32NetworkToFp16Impl Class Reference</div> </div>
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102<div class="contents">
103
104<p><code>#include &lt;<a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html">ConvertFp32NetworkToFp16.hpp</a>&gt;</code></p>
105<table class="memberdecls">
106<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
107Public Member Functions</h2></td></tr>
108<tr class="memitem:aaa2a4663cec52a8aa89a93c7c8317183"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html#aaa2a4663cec52a8aa89a93c7c8317183">Run</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;graph, <a class="el" href="classarmnn_1_1_layer.html">Layer</a> &amp;layer) const</td></tr>
109<tr class="separator:aaa2a4663cec52a8aa89a93c7c8317183"><td class="memSeparator" colspan="2">&#160;</td></tr>
110</table><table class="memberdecls">
111<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
112Protected Member Functions</h2></td></tr>
113<tr class="memitem:a8c54552a0f174237e8c7edeb7daf2684"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html#a8c54552a0f174237e8c7edeb7daf2684">ConvertFp32NetworkToFp16Impl</a> ()=default</td></tr>
114<tr class="separator:a8c54552a0f174237e8c7edeb7daf2684"><td class="memSeparator" colspan="2">&#160;</td></tr>
115<tr class="memitem:a2b3e400ddbdb7b3f846b47bb535dfd97"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html#a2b3e400ddbdb7b3f846b47bb535dfd97">~ConvertFp32NetworkToFp16Impl</a> ()=default</td></tr>
116<tr class="separator:a2b3e400ddbdb7b3f846b47bb535dfd97"><td class="memSeparator" colspan="2">&#160;</td></tr>
117</table>
118<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
119<div class="textblock">
120<p class="definition">Definition at line <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html#l00015">15</a> of file <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html">ConvertFp32NetworkToFp16.hpp</a>.</p>
121</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
122<a id="a8c54552a0f174237e8c7edeb7daf2684"></a>
123<h2 class="memtitle"><span class="permalink"><a href="#a8c54552a0f174237e8c7edeb7daf2684">&#9670;&nbsp;</a></span>ConvertFp32NetworkToFp16Impl()</h2>
124
125<div class="memitem">
126<div class="memproto">
127<table class="mlabels">
128 <tr>
129 <td class="mlabels-left">
130 <table class="memname">
131 <tr>
132 <td class="memname"><a class="el" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html">ConvertFp32NetworkToFp16Impl</a> </td>
133 <td>(</td>
134 <td class="paramname"></td><td>)</td>
135 <td></td>
136 </tr>
137 </table>
138 </td>
139 <td class="mlabels-right">
140<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td>
141 </tr>
142</table>
143</div><div class="memdoc">
144
145</div>
146</div>
147<a id="a2b3e400ddbdb7b3f846b47bb535dfd97"></a>
148<h2 class="memtitle"><span class="permalink"><a href="#a2b3e400ddbdb7b3f846b47bb535dfd97">&#9670;&nbsp;</a></span>~ConvertFp32NetworkToFp16Impl()</h2>
149
150<div class="memitem">
151<div class="memproto">
152<table class="mlabels">
153 <tr>
154 <td class="mlabels-left">
155 <table class="memname">
156 <tr>
157 <td class="memname">~<a class="el" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html">ConvertFp32NetworkToFp16Impl</a> </td>
158 <td>(</td>
159 <td class="paramname"></td><td>)</td>
160 <td></td>
161 </tr>
162 </table>
163 </td>
164 <td class="mlabels-right">
165<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td>
166 </tr>
167</table>
168</div><div class="memdoc">
169
170</div>
171</div>
172<h2 class="groupheader">Member Function Documentation</h2>
173<a id="aaa2a4663cec52a8aa89a93c7c8317183"></a>
174<h2 class="memtitle"><span class="permalink"><a href="#aaa2a4663cec52a8aa89a93c7c8317183">&#9670;&nbsp;</a></span>Run()</h2>
175
176<div class="memitem">
177<div class="memproto">
178<table class="mlabels">
179 <tr>
180 <td class="mlabels-left">
181 <table class="memname">
182 <tr>
183 <td class="memname">void Run </td>
184 <td>(</td>
185 <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;&#160;</td>
186 <td class="paramname"><em>graph</em>, </td>
187 </tr>
188 <tr>
189 <td class="paramkey"></td>
190 <td></td>
191 <td class="paramtype"><a class="el" href="classarmnn_1_1_layer.html">Layer</a> &amp;&#160;</td>
192 <td class="paramname"><em>layer</em>&#160;</td>
193 </tr>
194 <tr>
195 <td></td>
196 <td>)</td>
197 <td></td><td> const</td>
198 </tr>
199 </table>
200 </td>
201 <td class="mlabels-right">
202<span class="mlabels"><span class="mlabel">inline</span></span> </td>
203 </tr>
204</table>
205</div><div class="memdoc">
206
207<p class="definition">Definition at line <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html#l00018">18</a> of file <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html">ConvertFp32NetworkToFp16.hpp</a>.</p>
208<div class="fragment"><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; {</div>
209<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="keywordflow">if</span>(layer.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div>
210<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; {</div>
211<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; <span class="comment">// if the outputs of this layer are DataType::Float32</span></div>
212<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="comment">// add a ConvertFloat32ToFloat16 layer after each of the outputs</span></div>
213<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keywordflow">if</span> (layer.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div>
214<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; {</div>
215<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <a class="code" href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3">InsertConvertFp32ToFp16LayersAfter</a>(graph, layer);</div>
216<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; }</div>
217<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; }</div>
218<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (layer.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div>
219<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; {</div>
220<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="comment">// For DetectionPostProcess Layer output is always Float32 regardless of input type</span></div>
221<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; Layer&amp; connectedLayer = layer.GetInputSlots()[0].GetConnectedOutputSlot()-&gt;GetOwningLayer();</div>
222<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keywordflow">if</span> (connectedLayer.GetType() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>)</div>
223<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; {</div>
224<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="comment">// if the inputs of this layer are DataType::Float32</span></div>
225<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="comment">// add a ConvertFloat16ToFloat32 layer before each of the inputs</span></div>
226<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">if</span> (layer.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div>
227<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; {</div>
228<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="comment">// NOTE: We need to call InsertConvertFp16ToFp32LayersBefore with expectCorrectInputType = false</span></div>
229<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="comment">// here, otherwise it will expect the inputs to be DataType::Float16</span></div>
230<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <a class="code" href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb">InsertConvertFp16ToFp32LayersBefore</a>(graph, layer, <span class="keyword">false</span>);</div>
231<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; }</div>
232<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; }</div>
233<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; }</div>
234<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (layer.GetType() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a> &amp;&amp; layer.GetType() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>)</div>
235<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; {</div>
236<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="comment">// if the inputs/outputs of this layer are DataType::Float32</span></div>
237<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="comment">// change the data type for all inputs and outputs to DataType::Float16</span></div>
238<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; input = layer.BeginInputSlots(); input != layer.EndInputSlots(); ++input)</div>
239<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; {</div>
240<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="comment">// if it is connected to OutputSlot of the InputLayer do not change the DataType of connection</span></div>
241<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="comment">// InputSlots of the current layer will be updated when conversion layer is inserted after InputLayer</span></div>
242<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; Layer&amp; base = input-&gt;GetConnectedOutputSlot()-&gt;GetOwningLayer();</div>
243<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">if</span> (base.GetType() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div>
244<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; {</div>
245<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; TensorInfo convertInfo = input-&gt;GetConnection()-&gt;GetTensorInfo();</div>
246<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">if</span> (convertInfo.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div>
247<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; {</div>
248<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; convertInfo.SetDataType(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>);</div>
249<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; input-&gt;GetConnection()-&gt;SetTensorInfo(convertInfo);</div>
250<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; }</div>
251<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; }</div>
252<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; }</div>
253<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; </div>
254<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// For DetectionPostProcess Layer output is always Float32 regardless of input type</span></div>
255<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">if</span> (layer.GetType() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>)</div>
256<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div>
257<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="comment">// change outputs to DataType::Float16</span></div>
258<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp;&amp; output = layer.BeginOutputSlots(); output != layer.EndOutputSlots(); ++output)</div>
259<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; {</div>
260<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; TensorInfo convertInfo = output-&gt;GetTensorInfo();</div>
261<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">if</span> (convertInfo.GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div>
262<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; {</div>
263<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; convertInfo.SetDataType(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>);</div>
264<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; output-&gt;SetTensorInfo(convertInfo);</div>
265<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; }</div>
266<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; }</div>
267<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; }</div>
268<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; }</div>
269<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; }</div>
270</div><!-- fragment -->
271<p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00262">Layer::BeginInputSlots()</a>, <a class="el" href="_layer_8hpp_source.html#l00266">Layer::BeginOutputSlots()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::ConvertFp16ToFp32</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::ConvertFp32ToFp16</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::DetectionPostProcess</a>, <a class="el" href="_layer_8hpp_source.html#l00263">Layer::EndInputSlots()</a>, <a class="el" href="_layer_8hpp_source.html#l00267">Layer::EndOutputSlots()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00200">TensorInfo::GetDataType()</a>, <a class="el" href="_layer_8cpp_source.html#l00345">Layer::GetDataType()</a>, <a class="el" href="_layer_8hpp_source.html#l00258">Layer::GetInputSlots()</a>, <a class="el" href="_layer_8hpp_source.html#l00286">Layer::GetType()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="_network_utils_8cpp_source.html#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.html#l00079">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, and <a class="el" href="_tensor_8hpp_source.html#l00201">TensorInfo::SetDataType()</a>.</p>
272
273</div>
274</div>
275<hr/>The documentation for this class was generated from the following file:<ul>
276<li>src/armnn/optimizations/<a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.html">ConvertFp32NetworkToFp16.hpp</a></li>
277</ul>
278</div><!-- contents -->
279</div><!-- doc-content -->
280<div class="ttc" id="anamespacearmnn_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>
281<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div><div class="ttdeci">@ ConvertFp16ToFp32</div></div>
282<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div>
283<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div>
284<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div>
285<div class="ttc" id="anamespacearmnn_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>
286<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div><div class="ttdeci">@ DetectionPostProcess</div></div>
287<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>
288<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>
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