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Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]39 &#160;<span id="projectnumber">24.05</span>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]40 </div>
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96<a href="#pub-methods">Public Member Functions</a> &#124;
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98<a href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl-members.html">List of all members</a> </div>
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100<div class="title">AddBroadcastReshapeLayerImpl Class Reference</div> </div>
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102<div class="contents">
103
104<p><code>#include &lt;<a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html">AddBroadcastReshapeLayer.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_add_broadcast_reshape_layer_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="memdesc:aaa2a4663cec52a8aa89a93c7c8317183"><td class="mdescLeft">&#160;</td><td class="mdescRight">Run for every <a class="el" href="classarmnn_1_1_elementwise_base_layer.html" title="NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement: st...">ElementwiseBaseLayer</a>. Add Broadcast reshape layer if the inputs shape are different. <a href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html#aaa2a4663cec52a8aa89a93c7c8317183">More...</a><br /></td></tr>
110<tr class="separator:aaa2a4663cec52a8aa89a93c7c8317183"><td class="memSeparator" colspan="2">&#160;</td></tr>
111</table><table class="memberdecls">
112<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
113Protected Member Functions</h2></td></tr>
114<tr class="memitem:affc14705fa8863941b09b4df2169165d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html#affc14705fa8863941b09b4df2169165d">AddBroadcastReshapeLayerImpl</a> ()=default</td></tr>
115<tr class="separator:affc14705fa8863941b09b4df2169165d"><td class="memSeparator" colspan="2">&#160;</td></tr>
116<tr class="memitem:a926b9b2f21335752bc1cad1a2a413b5f"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html#a926b9b2f21335752bc1cad1a2a413b5f">~AddBroadcastReshapeLayerImpl</a> ()=default</td></tr>
117<tr class="separator:a926b9b2f21335752bc1cad1a2a413b5f"><td class="memSeparator" colspan="2">&#160;</td></tr>
118</table>
119<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
120<div class="textblock">
121<p class="definition">Definition at line <a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html#l00023">23</a> of file <a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html">AddBroadcastReshapeLayer.hpp</a>.</p>
122</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
123<a id="affc14705fa8863941b09b4df2169165d"></a>
124<h2 class="memtitle"><span class="permalink"><a href="#affc14705fa8863941b09b4df2169165d">&#9670;&nbsp;</a></span>AddBroadcastReshapeLayerImpl()</h2>
125
126<div class="memitem">
127<div class="memproto">
128<table class="mlabels">
129 <tr>
130 <td class="mlabels-left">
131 <table class="memname">
132 <tr>
133 <td class="memname"><a class="el" href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html">AddBroadcastReshapeLayerImpl</a> </td>
134 <td>(</td>
135 <td class="paramname"></td><td>)</td>
136 <td></td>
137 </tr>
138 </table>
139 </td>
140 <td class="mlabels-right">
141<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td>
142 </tr>
143</table>
144</div><div class="memdoc">
145
146</div>
147</div>
148<a id="a926b9b2f21335752bc1cad1a2a413b5f"></a>
149<h2 class="memtitle"><span class="permalink"><a href="#a926b9b2f21335752bc1cad1a2a413b5f">&#9670;&nbsp;</a></span>~AddBroadcastReshapeLayerImpl()</h2>
150
151<div class="memitem">
152<div class="memproto">
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154 <tr>
155 <td class="mlabels-left">
156 <table class="memname">
157 <tr>
158 <td class="memname">~<a class="el" href="classarmnn_1_1optimizations_1_1_add_broadcast_reshape_layer_impl.html">AddBroadcastReshapeLayerImpl</a> </td>
159 <td>(</td>
160 <td class="paramname"></td><td>)</td>
161 <td></td>
162 </tr>
163 </table>
164 </td>
165 <td class="mlabels-right">
166<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">default</span></span> </td>
167 </tr>
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170
171</div>
172</div>
173<h2 class="groupheader">Member Function Documentation</h2>
174<a id="aaa2a4663cec52a8aa89a93c7c8317183"></a>
175<h2 class="memtitle"><span class="permalink"><a href="#aaa2a4663cec52a8aa89a93c7c8317183">&#9670;&nbsp;</a></span>Run()</h2>
176
177<div class="memitem">
178<div class="memproto">
179<table class="mlabels">
180 <tr>
181 <td class="mlabels-left">
182 <table class="memname">
183 <tr>
184 <td class="memname">void Run </td>
185 <td>(</td>
186 <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.html">Graph</a> &amp;&#160;</td>
187 <td class="paramname"><em>graph</em>, </td>
188 </tr>
189 <tr>
190 <td class="paramkey"></td>
191 <td></td>
192 <td class="paramtype"><a class="el" href="classarmnn_1_1_layer.html">Layer</a> &amp;&#160;</td>
193 <td class="paramname"><em>layer</em>&#160;</td>
194 </tr>
195 <tr>
196 <td></td>
197 <td>)</td>
198 <td></td><td> const</td>
199 </tr>
200 </table>
201 </td>
202 <td class="mlabels-right">
203<span class="mlabels"><span class="mlabel">inline</span></span> </td>
204 </tr>
205</table>
206</div><div class="memdoc">
207
208<p>Run for every <a class="el" href="classarmnn_1_1_elementwise_base_layer.html" title="NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement: st...">ElementwiseBaseLayer</a>. Add Broadcast reshape layer if the inputs shape are different. </p>
209
210<p class="definition">Definition at line <a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html#l00027">27</a> of file <a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html">AddBroadcastReshapeLayer.hpp</a>.</p>
211<div class="fragment"><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; {</div>
212<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">if</span> (std::find(broadcastOps.begin(), broadcastOps.end(), layer.GetType()) != broadcastOps.end())</div>
213<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; {</div>
214<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; layer.GetInputSlot(0).GetConnectedOutputSlot()-&gt;IsTensorInfoSet();</div>
215<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; layer.GetInputSlot(1).GetConnectedOutputSlot()-&gt;IsTensorInfoSet();</div>
216<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; </div>
217<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keyword">const</span> TensorInfo&amp; inputInfo0 = layer.GetInputSlot(0).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
218<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keyword">const</span> TensorInfo&amp; inputInfo1 = layer.GetInputSlot(1).GetConnectedOutputSlot()-&gt;GetTensorInfo();</div>
219<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; </div>
220<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">if</span> (inputInfo0.GetNumDimensions() == inputInfo1.GetNumDimensions())</div>
221<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; {</div>
222<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordflow">return</span>;</div>
223<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; }</div>
224<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; </div>
225<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> reshapeSlot = 1;</div>
226<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; TensorInfo reshapeInfo = inputInfo1;</div>
227<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; TensorInfo inputInfo = inputInfo0;</div>
228<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; </div>
229<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordflow">if</span> (inputInfo0.GetNumDimensions() &lt; inputInfo1.GetNumDimensions())</div>
230<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; {</div>
231<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; reshapeSlot = 0;</div>
232<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; reshapeInfo = inputInfo0;</div>
233<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; inputInfo = inputInfo1;</div>
234<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; }</div>
235<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; </div>
236<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; uint32_t numDimensions = inputInfo.GetNumDimensions();</div>
237<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; </div>
238<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; std::vector&lt;unsigned&gt; reshapedDim;</div>
239<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; reshapeInfo.GetNumDimensions(); ++i)</div>
240<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; {</div>
241<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; reshapedDim.push_back(reshapeInfo.GetShape()[i]);</div>
242<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; }</div>
243<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; </div>
244<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; std::vector&lt;unsigned int&gt; reshapedDimensions(numDimensions, 1);</div>
245<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; std::copy_backward(reshapedDim.begin(), reshapedDim.end(), reshapedDimensions.end());</div>
246<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; </div>
247<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; reshapeInfo.SetShape(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>{ numDimensions, reshapedDimensions.data() });</div>
248<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; </div>
249<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="comment">// If the parent layer is a Constant layer and it is only used once we can short circuit by just</span></div>
250<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="comment">// changing the tensor info rather than adding a reshape layer.</span></div>
251<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; Layer&amp; parentLayer = layer.GetInputSlot(reshapeSlot).GetConnectedOutputSlot()-&gt;GetOwningLayer();</div>
252<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">if</span> ((parentLayer.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a>) &amp;&amp;</div>
253<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; (parentLayer.GetOutputSlot(0).GetNumConnections() == 1))</div>
254<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; {</div>
255<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; ConstantLayer&amp; constantLayer = <span class="keyword">static_cast&lt;</span>ConstantLayer&amp;<span class="keyword">&gt;</span>(parentLayer);</div>
256<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; </div>
257<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; constantLayer.m_LayerOutput = std::make_unique&lt;ScopedTensorHandle&gt;(</div>
258<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; ConstTensor(reshapeInfo, constantLayer.m_LayerOutput.get()-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;()));</div>
259<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; constantLayer.GetOutputSlot().SetTensorInfo(reshapeInfo);</div>
260<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; }</div>
261<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keywordflow">else</span></div>
262<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; {</div>
263<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keyword">const</span> std::string layerName = <span class="stringliteral">&quot;Reshape_for:&quot;</span> + layer.GetNameStr() + <span class="stringliteral">&quot;-&quot;</span> + std::to_string(reshapeSlot);</div>
264<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="keyword">const</span> ReshapeDescriptor descriptor{ reshapeInfo.GetShape() };</div>
265<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; ReshapeLayer* reshapeLayer =</div>
266<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; graph.InsertNewLayer&lt;ReshapeLayer&gt;(layer.GetInputSlot(reshapeSlot), descriptor, layerName.c_str());</div>
267<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; reshapeLayer-&gt;GetOutputSlot().SetTensorInfo(reshapeInfo);</div>
268<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; }</div>
269<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; }</div>
270<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; }</div>
271</div><!-- fragment -->
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]272<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="_layer_8hpp_source.html#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00240">Layer::GetNameStr()</a>, <a class="el" href="_layer_8hpp_source.html#l00158">OutputSlot::GetNumConnections()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00132">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.html#l00286">Layer::GetType()</a>, <a class="el" href="_graph_8hpp_source.html#l00481">Graph::InsertNewLayer()</a>, <a class="el" href="_layer_8cpp_source.html#l00105">OutputSlot::IsTensorInfoSet()</a>, <a class="el" href="_constant_layer_8hpp_source.html#l00046">ConstantLayer::m_LayerOutput</a>, <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::SetShape()</a>, and <a class="el" href="_layer_8cpp_source.html#l00095">OutputSlot::SetTensorInfo()</a>.</p>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]273
274</div>
275</div>
276<hr/>The documentation for this class was generated from the following file:<ul>
277<li>src/armnn/optimizations/<a class="el" href="_add_broadcast_reshape_layer_8hpp_source.html">AddBroadcastReshapeLayer.hpp</a></li>
278</ul>
279</div><!-- contents -->
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281<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>
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