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| <p><code>#include <<a class="el" href="_max_min_into_bounded_relu_8hpp_source.html">MaxMinIntoBoundedRelu.hpp</a>></code></p> |
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| Static Public Member Functions</h2></td></tr> |
| <tr class="memitem:ab8beb4d0cfc5c103045f261ff726b08e"><td class="memItemLeft" align="right" valign="top">static void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1_max_min_into_bounded_relu_impl.html#ab8beb4d0cfc5c103045f261ff726b08e">Run</a> (<a class="el" href="classarmnn_1_1_graph.html">Graph</a> &graph, <a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> &connection)</td></tr> |
| <tr class="memdesc:ab8beb4d0cfc5c103045f261ff726b08e"><td class="mdescLeft"> </td><td class="mdescRight">Run for every exclusive connection between any Max & Min layers The Max, Min and its associated constant inputs will be removed, and replaced with a BoundedRelu Activation. <a href="classarmnn_1_1optimizations_1_1_max_min_into_bounded_relu_impl.html#ab8beb4d0cfc5c103045f261ff726b08e">More...</a><br /></td></tr> |
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| Protected Member Functions</h2></td></tr> |
| <tr class="memitem:a65db2d72b0776e98bacbd6037b374d09"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1_max_min_into_bounded_relu_impl.html#a65db2d72b0776e98bacbd6037b374d09">MaxMinIntoBoundedReluImpl</a> ()=default</td></tr> |
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| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"> |
| <p class="definition">Definition at line <a class="el" href="_max_min_into_bounded_relu_8hpp_source.html#l00013">13</a> of file <a class="el" href="_max_min_into_bounded_relu_8hpp_source.html">MaxMinIntoBoundedRelu.hpp</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a65db2d72b0776e98bacbd6037b374d09">◆ </a></span>MaxMinIntoBoundedReluImpl()</h2> |
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| <td class="memname"><a class="el" href="classarmnn_1_1optimizations_1_1_max_min_into_bounded_relu_impl.html">MaxMinIntoBoundedReluImpl</a> </td> |
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| <td class="paramname"></td><td>)</td> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a43b1f24af6a51c0e749e200d1bbcf765">◆ </a></span>~MaxMinIntoBoundedReluImpl()</h2> |
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| <h2 class="memtitle"><span class="permalink"><a href="#ab8beb4d0cfc5c103045f261ff726b08e">◆ </a></span>Run()</h2> |
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| <td class="memname">static void Run </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> & </td> |
| <td class="paramname"><em>graph</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_input_slot.html">InputSlot</a> & </td> |
| <td class="paramname"><em>connection</em> </td> |
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| <p>Run for every exclusive connection between any Max & Min layers The Max, Min and its associated constant inputs will be removed, and replaced with a BoundedRelu Activation. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_max_min_into_bounded_relu_8hpp_source.html#l00018">18</a> of file <a class="el" href="_max_min_into_bounded_relu_8hpp_source.html">MaxMinIntoBoundedRelu.hpp</a>.</p> |
| <div class="fragment"><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>  Layer& base = connection.GetConnectedOutputSlot()->GetOwningLayer();</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  Layer& child = connection.GetOwningLayer();</div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  </div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">auto</span>& maxLayer = *PolymorphicDowncast<ElementwiseBinaryLayer*>(&base);</div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordflow">if</span> (maxLayer.GetParameters().m_Operation != <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">BinaryOperation::Maximum</a>)</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  {</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keywordflow">return</span>;</div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  }</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">auto</span>& minLayer = *PolymorphicDowncast<ElementwiseBinaryLayer*>(&child);</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">if</span> (minLayer.GetParameters().m_Operation != <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">BinaryOperation::Minimum</a>)</div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  {</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">return</span>;</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  }</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  </div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">if</span> (maxLayer.GetDataType() != minLayer.GetDataType())</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>  <span class="keywordflow">return</span>;</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  }</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  </div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// get max and min values</span></div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  float_t maxValue;</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">if</span> (!GetValue(maxLayer, maxValue))</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  {</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">return</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>  float_t minValue;</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">if</span> (!GetValue(minLayer, minValue))</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span>;</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  </div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">// Save original parent output slot of the max layer</span></div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  OutputSlot& parentOut = *maxLayer.GetInputSlot(0).GetConnectedOutputSlot();</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="comment">// Insert activation layer between max layer and its parent layer</span></div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  ActivationDescriptor boundedReluDescriptor(<a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">ActivationFunction::BoundedReLu</a>, minValue, maxValue);</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"replaced-"</span>) + maxLayer.GetName() + std::string(<span class="stringliteral">"-"</span>) + minLayer.GetName()</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  + std::string(<span class="stringliteral">"-with-BoundedRelu"</span>);</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">auto</span>& boundedReluLayer = *graph.InsertNewLayer<ActivationLayer>(maxLayer.GetInputSlot(0),</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  boundedReluDescriptor,</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  name.c_str());</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  </div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Reconnects with original parent.</span></div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  boundedReluLayer.GetOutputSlot().MoveAllConnections(parentOut);</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">// Moves connections in min layer output to parent layer.</span></div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// Min layer will be removed as it's left unconnected.</span></div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// Max layer will be removed if left unconnected.</span></div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  minLayer.GetOutputSlot().MoveAllConnections(boundedReluLayer.GetOutputSlot());</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="_layer_8hpp_source.html#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00053">InputSlot::GetOwningLayer()</a>, <a class="el" href="_layer_8hpp_source.html#l00132">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_graph_8hpp_source.html#l00481">Graph::InsertNewLayer()</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::Maximum</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::Minimum</a>, and <a class="el" href="_layer_8cpp_source.html#l00156">OutputSlot::MoveAllConnections()</a>.</p> |
| |
| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following file:<ul> |
| <li>src/armnn/optimizations/<a class="el" href="_max_min_into_bounded_relu_8hpp_source.html">MaxMinIntoBoundedRelu.hpp</a></li> |
| </ul> |
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| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdeci">@ BoundedReLu</div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6.</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::BinaryOperation::Maximum</a></div><div class="ttdeci">@ Maximum</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::BinaryOperation::Minimum</a></div><div class="ttdeci">@ Minimum</div></div> |
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