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| <a href="_elementwise_base_layer_8hpp.xhtml">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 Arm Ltd. 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> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_layer_8hpp.xhtml">Layer.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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="comment"></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment">/// NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement:</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">/// std::unique_ptr<IWorkload> Layer::CreateWorkload(const IWorkloadFactory& factory) const = 0;</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">/// Layer* Clone(Graph& graph) const = 0;</span></div><div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="classarmnn_1_1_elementwise_base_layer.xhtml"> 16</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_1_1_elementwise_base_layer.xhtml">ElementwiseBaseLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a></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="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> /// Check if the input tensor shape(s)</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> /// will lead to a valid configuration of the element wise operation.</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_elementwise_base_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> /// By default returns inputShapes if the number of inputs are equal to number of outputs,</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> /// otherwise infers the output shapes from given input shapes and layer properties.</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> /// @param [in] inputShapes The input shapes layer has.</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"> /// @return A vector to the inferred output shape.</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_elementwise_base_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes) <span class="keyword">const override</span>;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">protected</span>:<span class="comment"></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> /// @param numInputSlots The number of input slots for the layer.</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> /// @param numOutputSlots The number of output slots for the layer.</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> /// @param type The layer type.</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"> /// @param name Optional name for the layer.</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_elementwise_base_layer.xhtml#a6aa67447c0f7d3aa62124c535e5b550b">ElementwiseBaseLayer</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputSlots, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, <span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> /// Default destructor</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_elementwise_base_layer.xhtml#a70745c21e09e36c3a83aff0c9848514c">~ElementwiseBaseLayer</a>() = <span class="keywordflow">default</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> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> } <span class="comment">// namespace</span></div><div class="ttc" id="classarmnn_1_1_elementwise_base_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_elementwise_base_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::ElementwiseBaseLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties. </div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_base_layer_8cpp_source.xhtml#l00023">ElementwiseBaseLayer.cpp:23</a></div></div> |
| <div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div> |
| <div class="ttc" id="_layer_8hpp_xhtml"><div class="ttname"><a href="_layer_8hpp.xhtml">Layer.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_elementwise_base_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_elementwise_base_layer.xhtml">armnn::ElementwiseBaseLayer</a></div><div class="ttdoc">NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement: st...</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_base_layer_8hpp_source.xhtml#l00016">ElementwiseBaseLayer.hpp:16</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_elementwise_base_layer_xhtml_a6aa67447c0f7d3aa62124c535e5b550b"><div class="ttname"><a href="classarmnn_1_1_elementwise_base_layer.xhtml#a6aa67447c0f7d3aa62124c535e5b550b">armnn::ElementwiseBaseLayer::ElementwiseBaseLayer</a></div><div class="ttdeci">ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_base_layer_8cpp_source.xhtml#l00017">ElementwiseBaseLayer.cpp:17</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_elementwise_base_layer_xhtml_a70745c21e09e36c3a83aff0c9848514c"><div class="ttname"><a href="classarmnn_1_1_elementwise_base_layer.xhtml#a70745c21e09e36c3a83aff0c9848514c">armnn::ElementwiseBaseLayer::~ElementwiseBaseLayer</a></div><div class="ttdeci">~ElementwiseBaseLayer()=default</div><div class="ttdoc">Default destructor. </div></div> |
| <div class="ttc" id="classarmnn_1_1_elementwise_base_layer_xhtml_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_elementwise_base_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">armnn::ElementwiseBaseLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of the element wise operation...</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_base_layer_8cpp_source.xhtml#l00051">ElementwiseBaseLayer.cpp:51</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00209">Layer.hpp:209</a></div></div> |
| <div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.xhtml#l00014">InternalTypes.hpp:14</a></div></div> |
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