IVGCVSW-8260 Update Doxgen Docu for 24.05
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: If4bc983bf2793a27ded8e26ac2b29523fc1e4711
diff --git a/latest/_shape_layer_8cpp_source.html b/latest/_shape_layer_8cpp_source.html
index ded39cc..3979fd7 100644
--- a/latest/_shape_layer_8cpp_source.html
+++ b/latest/_shape_layer_8cpp_source.html
@@ -36,7 +36,7 @@
<img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/>
<td id="projectalign" style="padding-left: 0.9em;">
<div id="projectname">
-  <span id="projectnumber">24.02</span>
+  <span id="projectnumber">24.05</span>
</div>
</td>
</tr>
@@ -97,7 +97,7 @@
</div><!--header-->
<div class="contents">
<a href="_shape_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 © 2021-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
+<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2021-2024 Arm Ltd and Contributors. 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>
@@ -142,38 +142,45 @@
<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>  <span class="keyword">auto</span> inferredShape = <a class="code" href="classarmnn_1_1_shape_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#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div>
-<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShape.size() == 1);</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>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShape[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"ShapeLayer"</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>  </div>
-<div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarmnn_1_1_shape_layer.html#a65ca562c882ad619684445a1402f415a"> 52</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_shape_layer.html#a65ca562c882ad619684445a1402f415a">ShapeLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes)<span class="keyword"> const</span></div>
-<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword"></span>{</div>
-<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(inputShapes);</div>
-<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShapes.size() == 1);</div>
+<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">if</span> (inferredShape.size() != 1)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">"inferredShape has "</span></div>
+<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  + std::to_string(inferredShape.size()) +</div>
+<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="stringliteral">" elements - should only have 1."</span>);</div>
+<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</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>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShape[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"ShapeLayer"</span>);</div>
+<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> }</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  </div>
-<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outputShape({ inputShapes[0].GetNumDimensions()} );</div>
-<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  </div>
-<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ outputShape });</div>
-<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> }</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>  </div>
-<div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classarmnn_1_1_shape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 63</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_shape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ShapeLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div>
-<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword"></span>{</div>
-<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
-<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> }</div>
-<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  </div>
-<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> } <span class="comment">// namespace armnn</span></div>
+<div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classarmnn_1_1_shape_layer.html#a65ca562c882ad619684445a1402f415a"> 57</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_shape_layer.html#a65ca562c882ad619684445a1402f415a">ShapeLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword"></span>{</div>
+<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">if</span> (inputShapes.size() != 1)</div>
+<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div>
+<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"inputShapes' size is \""</span> + std::to_string(inputShapes.size()) +</div>
+<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="stringliteral">"\" - should be \"1\"."</span>);</div>
+<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</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>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outputShape({ inputShapes[0].GetNumDimensions()} );</div>
+<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  </div>
+<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ outputShape });</div>
+<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> }</div>
+<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  </div>
+<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  </div>
+<div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classarmnn_1_1_shape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 71</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_shape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ShapeLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword"></span>{</div>
+<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="structarmnn_1_1_base_descriptor.html">BaseDescriptor</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
+<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> }</div>
+<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  </div>
+<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> } <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
-<div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_shape_layer_html_a617c84869ebb7f91d779f3121c9cef85"><div class="ttname"><a href="classarmnn_1_1_shape_layer.html#a617c84869ebb7f91d779f3121c9cef85">armnn::ShapeLayer::ShapeLayer</a></div><div class="ttdeci">ShapeLayer(const char *name)</div><div class="ttdoc">Constructor to create a ShapeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_shape_layer_8cpp_source.html#l00019">ShapeLayer.cpp:19</a></div></div>
-<div class="ttc" id="aclassarmnn_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#l00092">Layer.cpp:92</a></div></div>
+<div class="ttc" id="aclassarmnn_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#l00100">Layer.cpp:100</a></div></div>
<div class="ttc" id="a_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div>
<div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div>
<div class="ttc" id="a_shape_layer_8hpp_html"><div class="ttname"><a href="_shape_layer_8hpp.html">ShapeLayer.hpp</a></div></div>
<div class="ttc" id="a_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#l00203">Exceptions.hpp:203</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00435">Layer.cpp:435</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00457">Layer.cpp:457</a></div></div>
<div class="ttc" id="aclassarmnn_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="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_shape_layer_html_a5cd87ec92bac76b14887717f91c561e1"><div class="ttname"><a href="classarmnn_1_1_shape_layer.html#a5cd87ec92bac76b14887717f91c561e1">armnn::ShapeLayer::Clone</a></div><div class="ttdeci">ShapeLayer * Clone(Graph &graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_shape_layer_8cpp_source.html#l00032">ShapeLayer.cpp:32</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div>
@@ -183,21 +190,22 @@
<div class="ttc" id="a_numeric_cast_8hpp_html"><div class="ttname"><a href="_numeric_cast_8hpp.html">NumericCast.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_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="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00332">Layer.hpp:332</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00592">Layer.cpp:592</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00614">Layer.cpp:614</a></div></div>
<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>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer.html#a30a858b2b26d651a066537e499fbf40d">armnn::Layer::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00409">Layer.hpp:409</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00022">WorkloadFactory.hpp:22</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00504">Layer.cpp:504</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00287">Layer.cpp:287</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00526">Layer.cpp:526</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00303">Layer.cpp:303</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="astructarmnn_1_1_base_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.html">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00022">Descriptors.hpp:22</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a880c1273b27d27cfc82004c3a4b205c9">armnn::LayerType::Shape</a></div><div class="ttdeci">@ Shape</div></div>
<div class="ttc" id="astructarmnn_1_1_shape_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_shape_queue_descriptor.html">armnn::ShapeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00691">WorkloadData.hpp:691</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00193">Tensor.hpp:193</a></div></div>
-<div class="ttc" id="anamespacearmnn_html_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_shape_layer_html"><div class="ttname"><a href="classarmnn_1_1_shape_layer.html">armnn::ShapeLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_shape_layer_8hpp_source.html#l00013">ShapeLayer.hpp:13</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_shape_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_shape_layer.html#a65ca562c882ad619684445a1402f415a">armnn::ShapeLayer::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,...</div><div class="ttdef"><b>Definition:</b> <a href="_shape_layer_8cpp_source.html#l00052">ShapeLayer.cpp:52</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_shape_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_shape_layer.html#a65ca562c882ad619684445a1402f415a">armnn::ShapeLayer::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,...</div><div class="ttdef"><b>Definition:</b> <a href="_shape_layer_8cpp_source.html#l00057">ShapeLayer.cpp:57</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
-<div class="ttc" id="aclassarmnn_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#l00391">Layer.cpp:391</a></div></div>
+<div class="ttc" id="aclassarmnn_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#l00410">Layer.cpp:410</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00441">Layer.hpp:441</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_shape_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_shape_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::ShapeLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override</div><div class="ttdoc">Makes a workload for the Shape type.</div><div class="ttdef"><b>Definition:</b> <a href="_shape_layer_8cpp_source.html#l00024">ShapeLayer.cpp:24</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div>
@@ -205,12 +213,12 @@
<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a694a8411c8c799da95306034d274930b"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_strategy_html_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div>
<div class="ttc" id="a_layer_clone_base_8hpp_html"><div class="ttname"><a href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_shape_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_shape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::ShapeLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_shape_layer_8cpp_source.html#l00063">ShapeLayer.cpp:63</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_shape_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_shape_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::ShapeLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_shape_layer_8cpp_source.html#l00071">ShapeLayer.cpp:71</a></div></div>
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