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+<div class="title">LogSoftmaxLayer.cpp</div> </div>
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+<a href="_log_softmax_layer_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> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2019 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">#include "<a class="code" href="_log_softmax_layer_8hpp.html">LogSoftmaxLayer.hpp</a>"</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_clone_base_8hpp.html">LayerCloneBase.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="preprocessor">#include <<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.hpp</a>></span></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="preprocessor">#include <<a class="code" href="_workload_data_8hpp.html">backendsCommon/WorkloadData.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.html">backendsCommon/WorkloadFactory.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn_1_1_log_softmax_layer.html#a91ece56e0ffa4bb9e71d664202991187"> 18</a></span> <a class="code" href="classarmnn_1_1_log_softmax_layer.html#a91ece56e0ffa4bb9e71d664202991187">LogSoftmaxLayer::LogSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">LogSoftmaxDescriptor</a> &param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  : <a class="code" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters</a>(1, 1, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.html#ac52e04c0e349e25bcdaa72c27395ef8f">LogSoftmax</a>, param, name) {}</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1_log_softmax_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7"> 21</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_log_softmax_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">LogSoftmaxLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>& factory)<span class="keyword"> const</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword"></span>{</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <a class="code" href="structarmnn_1_1_log_softmax_queue_descriptor.html">LogSoftmaxQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#adbdc0563cc7d8b6c1e3c2fb6f13871bf">CreateLogSoftmax</a>(descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</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> </div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="classarmnn_1_1_log_softmax_layer.html#a1ee115ea0c7522119fe3fa919094d856"> 27</a></span> <a class="code" href="classarmnn_1_1_log_softmax_layer.html">LogSoftmaxLayer</a>* <a class="code" href="classarmnn_1_1_log_softmax_layer.html#a1ee115ea0c7522119fe3fa919094d856">LogSoftmaxLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph)<span class="keyword"> const</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keyword"></span>{</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">return</span> CloneBase<LogSoftmaxLayer>(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</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> </div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="classarmnn_1_1_log_softmax_layer.html#a8c8f543d7e9729362c266d12ec169966"> 32</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_log_softmax_layer.html#a8c8f543d7e9729362c266d12ec169966">LogSoftmaxLayer::ValidateTensorShapesFromInputs</a>()</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>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(1, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</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="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({ <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  BOOST_ASSERT(inferredShapes.size() == 1);</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>  ConditionalThrowIfNotEqual<LayerValidationException>(</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="stringliteral">"LogSoftmaxLayer: TensorShape set on OutputSlot[0] does not match the inferred shape."</span>,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  inferredShapes[0]);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</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"><a class="line" href="classarmnn_1_1_log_softmax_layer.html#a75a50f464326fefa605ea84ae2c9be85"> 45</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_log_softmax_layer.html#a75a50f464326fefa605ea84ae2c9be85">LogSoftmaxLayer::Accept</a>(<a class="code" href="classarmnn_1_1_i_layer_visitor.html">ILayerVisitor</a>& visitor)<span class="keyword"> const</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword"></span>{</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  visitor.<a class="code" href="classarmnn_1_1_i_layer_visitor.html#a2db103c5db69877b05b365e50ee3bd5b">VisitLogSoftmaxLayer</a>(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a502c06a1b13e6d90a6cbf47c081f1444">GetParameters</a>(), <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</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> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</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_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00021">WorkloadFactory.hpp:21</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">armnn::Layer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00370">Layer.cpp:370</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_output_slot_html_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div>
+<div class="ttc" id="classarmnn_1_1_i_layer_visitor_html_a2db103c5db69877b05b365e50ee3bd5b"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.html#a2db103c5db69877b05b365e50ee3bd5b">armnn::ILayerVisitor::VisitLogSoftmaxLayer</a></div><div class="ttdeci">virtual void VisitLogSoftmaxLayer(const IConnectableLayer *layer, const LogSoftmaxDescriptor &logSoftmaxDescriptor, const char *name=nullptr)=0</div></div>
+<div class="ttc" id="structarmnn_1_1_log_softmax_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_log_softmax_queue_descriptor.html">armnn::LogSoftmaxQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00321">WorkloadData.hpp:321</a></div></div>
+<div class="ttc" id="classarmnn_1_1_log_softmax_layer_html"><div class="ttname"><a href="classarmnn_1_1_log_softmax_layer.html">armnn::LogSoftmaxLayer</a></div><div class="ttdoc">This layer represents a log softmax operation. </div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_layer_8hpp_source.html#l00014">LogSoftmaxLayer.hpp:14</a></div></div>
+<div class="ttc" id="classarmnn_1_1_log_softmax_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_log_softmax_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::LogSoftmaxLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_layer_8cpp_source.html#l00032">LogSoftmaxLayer.cpp:32</a></div></div>
+<div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
+<div class="ttc" id="_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div>
+<div class="ttc" id="_log_softmax_layer_8hpp_html"><div class="ttname"><a href="_log_softmax_layer_8hpp.html">LogSoftmaxLayer.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_input_slot_html_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00199">Layer.hpp:199</a></div></div>
+<div class="ttc" id="_layer_clone_base_8hpp_html"><div class="ttname"><a href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_layer_visitor_html"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.html">armnn::ILayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.html#l00016">ILayerVisitor.hpp:16</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_with_parameters_html_a502c06a1b13e6d90a6cbf47c081f1444"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a502c06a1b13e6d90a6cbf47c081f1444">armnn::LayerWithParameters< LogSoftmaxDescriptor >::GetParameters</a></div><div class="ttdeci">const LogSoftmaxDescriptor & GetParameters() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00018">LayerWithParameters.hpp:18</a></div></div>
+<div class="ttc" id="classarmnn_1_1_log_softmax_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_log_softmax_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::LogSoftmaxLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_layer_8cpp_source.html#l00021">LogSoftmaxLayer.cpp:21</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters< LogSoftmaxDescriptor >::m_Param</a></div><div class="ttdeci">LogSoftmaxDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.). </div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00050">LayerWithParameters.hpp:50</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00337">Layer.cpp:337</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_with_parameters_html"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00013">LayerWithParameters.hpp:13</a></div></div>
+<div class="ttc" id="classarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters< LogSoftmaxDescriptor >::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *LayerCreateWorkload. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00043">LayerWithParameters.hpp:43</a></div></div>
+<div class="ttc" id="_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</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="structarmnn_1_1_softmax_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00123">Descriptors.hpp:123</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_i_workload_factory_html_adbdc0563cc7d8b6c1e3c2fb6f13871bf"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#adbdc0563cc7d8b6c1e3c2fb6f13871bf">armnn::IWorkloadFactory::CreateLogSoftmax</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateLogSoftmax(const LogSoftmaxQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01239">WorkloadFactory.cpp:1239</a></div></div>
+<div class="ttc" id="classarmnn_1_1_log_softmax_layer_html_a91ece56e0ffa4bb9e71d664202991187"><div class="ttname"><a href="classarmnn_1_1_log_softmax_layer.html#a91ece56e0ffa4bb9e71d664202991187">armnn::LogSoftmaxLayer::LogSoftmaxLayer</a></div><div class="ttdeci">LogSoftmaxLayer(const LogSoftmaxDescriptor &param, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_layer_8cpp_source.html#l00018">LogSoftmaxLayer.cpp:18</a></div></div>
+<div class="ttc" id="classarmnn_1_1_log_softmax_layer_html_a75a50f464326fefa605ea84ae2c9be85"><div class="ttname"><a href="classarmnn_1_1_log_softmax_layer.html#a75a50f464326fefa605ea84ae2c9be85">armnn::LogSoftmaxLayer::Accept</a></div><div class="ttdeci">void Accept(ILayerVisitor &visitor) const override</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_layer_8cpp_source.html#l00045">LogSoftmaxLayer.cpp:45</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</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 & 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 & 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="namespacearmnn_html_ac52e04c0e349e25bcdaa72c27395ef8f"><div class="ttname"><a href="namespacearmnn.html#ac52e04c0e349e25bcdaa72c27395ef8f">armnn::LogSoftmax</a></div><div class="ttdeci">void LogSoftmax(Decoder< float > &input, Encoder< float > &output, const TensorInfo &inputInfo, const LogSoftmaxDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_8cpp_source.html#l00030">LogSoftmax.cpp:30</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.html#l00014">InternalTypes.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 & 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>
+<div class="ttc" id="classarmnn_1_1_log_softmax_layer_html_a1ee115ea0c7522119fe3fa919094d856"><div class="ttname"><a href="classarmnn_1_1_log_softmax_layer.html#a1ee115ea0c7522119fe3fa919094d856">armnn::LogSoftmaxLayer::Clone</a></div><div class="ttdeci">LogSoftmaxLayer * Clone(Graph &graph) const override</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_layer_8cpp_source.html#l00027">LogSoftmaxLayer.cpp:27</a></div></div>
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