IVGCVSW-8260 Update Doxgen Docu for 24.05
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: If4bc983bf2793a27ded8e26ac2b29523fc1e4711
diff --git a/latest/_cl_gather_nd_workload_8cpp_source.html b/latest/_cl_gather_nd_workload_8cpp_source.html
index e590b42..90e0af8 100644
--- a/latest/_cl_gather_nd_workload_8cpp_source.html
+++ b/latest/_cl_gather_nd_workload_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="_cl_gather_nd_workload_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 © 2022-2023 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 © 2022-2024 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>
@@ -240,108 +240,103 @@
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  flattenedCoeff_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"ND"</span>] });</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  BuildArmComputeTensor(m_FlattenedCoeff, flattenedCoeff_Info);</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_FlattenedCoeff);</div>
-<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(indicesInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div>
-<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="stringliteral">"flattenedCoeff must be same data type as m_FlattenedCoeff"</span>);</div>
-<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  CopyArmComputeClTensorData<int32_t>(m_FlattenedCoeff, flattenedCoeff.data());</div>
-<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  </div>
-<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">// Prepare the tensor to store the output of the multiplication</span></div>
-<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputMul_Info = indicesInfo;</div>
-<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  outputMul_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"ND"</span>] });</div>
-<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  BuildArmComputeTensor(m_OutputMul, outputMul_Info);</div>
-<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_OutputMul);</div>
-<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  </div>
-<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// Multiply</span></div>
-<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  m_MulLayer.configure(clCompileContext,</div>
-<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  &indices,</div>
-<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  &m_FlattenedCoeff,</div>
-<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  &m_OutputMul,</div>
-<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  1.0f,</div>
-<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  arm_compute::ConvertPolicy::WRAP,</div>
-<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  arm_compute::RoundingPolicy::TO_ZERO,</div>
-<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  arm_compute::ActivationLayerInfo());</div>
-<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  </div>
-<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="comment">// Reduce Sum</span></div>
-<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">const</span> std::vector<unsigned int> armnnReduceAxes(1, 1);</div>
-<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords = BuildArmComputeReductionCoordinates(m_OutputMul.info()->num_dimensions(),</div>
-<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  outputMul_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div>
-<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  armnnReduceAxes);</div>
-<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  m_ReduceSumLayer.configure(clCompileContext,</div>
-<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  &m_OutputMul,</div>
-<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  &m_FlattenedIndices,</div>
-<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(coords[0]),</div>
-<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  arm_compute::ReductionOperation::SUM,</div>
-<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">false</span>);</div>
-<div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="comment"></span> </div>
-<div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="comment"> /// Call Gather with adequate shapes</span></div>
-<div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="comment"></span> <span class="comment">// Reshape params into { K, C }</span></div>
-<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"K"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div>
-<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  input.info()->set_tensor_shape(BuildArmComputeTensorShape(paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()));</div>
-<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  </div>
-<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">// Reshape output to have the shape given by gather { W, C }</span></div>
-<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="comment">// (the original outputInfo has the shape given by gatherNd)</span></div>
-<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputGather_Info = outputInfo;</div>
-<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  outputGather_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div>
-<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  BuildArmComputeTensor(m_OutputGather, outputGather_Info);</div>
-<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_OutputGather);</div>
-<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  {</div>
-<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClGatherNdWorkload_configure"</span>);</div>
-<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">auto</span> aclAxis = <a class="code" href="namespacearmnn.html#a44a3b98b37a25c995aa9e4dae7d7b456">ComputeAclAxis</a>(0, paramsInfo);</div>
-<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  m_GatherLayer.configure(clCompileContext, &input, &m_FlattenedIndices, &m_OutputGather, aclAxis);</div>
-<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div>
-<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  </div>
-<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="comment">// Reshape output to the original output shape</span></div>
-<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  m_ReshapeLayer.configure(clCompileContext, &m_OutputGather, &output);</div>
-<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> };</div>
-<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  </div>
-<div class="line"><a name="l00198"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a"> 198</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherNdWorkload::Execute</a>()<span class="keyword"> const</span></div>
-<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="keyword"></span>{</div>
-<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClGatherNdWorkload_Execute"</span>);</div>
-<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_MulLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
-<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_ReduceSumLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
-<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_GatherLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
-<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_ReshapeLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
-<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> }</div>
-<div class="line"><a name="l00206"></a><span class="lineno"> 206</span> } <span class="comment">// namespace armnn</span></div>
+<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  CopyArmComputeClTensorData<int32_t>(m_FlattenedCoeff, flattenedCoeff.data());</div>
+<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  </div>
+<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// Prepare the tensor to store the output of the multiplication</span></div>
+<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputMul_Info = indicesInfo;</div>
+<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  outputMul_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"ND"</span>] });</div>
+<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  BuildArmComputeTensor(m_OutputMul, outputMul_Info);</div>
+<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_OutputMul);</div>
+<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  </div>
+<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Multiply</span></div>
+<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  m_MulLayer.configure(clCompileContext,</div>
+<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  &indices,</div>
+<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  &m_FlattenedCoeff,</div>
+<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  &m_OutputMul,</div>
+<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  1.0f,</div>
+<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  arm_compute::ConvertPolicy::WRAP,</div>
+<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  arm_compute::RoundingPolicy::TO_ZERO,</div>
+<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  arm_compute::ActivationLayerInfo());</div>
+<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  </div>
+<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// Reduce Sum</span></div>
+<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">const</span> std::vector<unsigned int> armnnReduceAxes(1, 1);</div>
+<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> coords = BuildArmComputeReductionCoordinates(m_OutputMul.info()->num_dimensions(),</div>
+<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  outputMul_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div>
+<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  armnnReduceAxes);</div>
+<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  m_ReduceSumLayer.configure(clCompileContext,</div>
+<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  &m_OutputMul,</div>
+<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  &m_FlattenedIndices,</div>
+<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(coords[0]),</div>
+<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  arm_compute::ReductionOperation::SUM,</div>
+<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">false</span>);</div>
+<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="comment"></span> </div>
+<div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="comment"> /// Call Gather with adequate shapes</span></div>
+<div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="comment"></span> <span class="comment">// Reshape params into { K, C }</span></div>
+<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"K"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div>
+<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  input.info()->set_tensor_shape(BuildArmComputeTensorShape(paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()));</div>
+<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  </div>
+<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// Reshape output to have the shape given by gather { W, C }</span></div>
+<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="comment">// (the original outputInfo has the shape given by gatherNd)</span></div>
+<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputGather_Info = outputInfo;</div>
+<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  outputGather_Info.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({ keyIndices[<span class="stringliteral">"W"</span>], keyIndices[<span class="stringliteral">"C"</span>] });</div>
+<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  BuildArmComputeTensor(m_OutputGather, outputGather_Info);</div>
+<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  armcomputetensorutils::InitialiseArmComputeTensorEmpty(m_OutputGather);</div>
+<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  {</div>
+<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClGatherNdWorkload_configure"</span>);</div>
+<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">auto</span> aclAxis = <a class="code" href="namespacearmnn.html#a44a3b98b37a25c995aa9e4dae7d7b456">ComputeAclAxis</a>(0, paramsInfo);</div>
+<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  m_GatherLayer.configure(clCompileContext, &input, &m_FlattenedIndices, &m_OutputGather, aclAxis);</div>
+<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div>
+<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  </div>
+<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// Reshape output to the original output shape</span></div>
+<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  m_ReshapeLayer.configure(clCompileContext, &m_OutputGather, &output);</div>
+<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> };</div>
+<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  </div>
+<div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a"> 196</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">ClGatherNdWorkload::Execute</a>()<span class="keyword"> const</span></div>
+<div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword"></span>{</div>
+<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClGatherNdWorkload_Execute"</span>);</div>
+<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_MulLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
+<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_ReduceSumLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
+<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_GatherLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
+<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">RunClFunction</a>(m_ReshapeLayer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
+<div class="line"><a name="l00203"></a><span class="lineno"> 203</span> }</div>
+<div class="line"><a name="l00204"></a><span class="lineno"> 204</span> } <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="astructarmnn_1_1_gather_nd_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_gather_nd_queue_descriptor.html">armnn::GatherNdQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00502">WorkloadData.hpp:502</a></div></div>
<div class="ttc" id="a_workload_utils_8hpp_html"><div class="ttname"><a href="_workload_utils_8hpp.html">WorkloadUtils.hpp</a></div></div>
-<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00446">WorkloadData.cpp:446</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00447">WorkloadData.cpp:447</a></div></div>
<div class="ttc" id="anamespacearmnn_html_adc7c6ed4375eb58ea8fa20d6ec704a27"><div class="ttname"><a href="namespacearmnn.html#adc7c6ed4375eb58ea8fa20d6ec704a27">armnn::ClGatherNdWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClGatherNdWorkloadValidate(const TensorInfo &paramsInfo, const TensorInfo &indicesInfo, const TensorInfo &outputInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_gather_nd_workload_8cpp_source.html#l00016">ClGatherNdWorkload.cpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</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_cl_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_cl_base_workload.html">armnn::ClBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_base_workload_8hpp_source.html#l00013">ClBaseWorkload.hpp:13</a></div></div>
-<div class="ttc" id="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00015">Assert.hpp:15</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ac6e86c1def7f674d3c4cb7f577874aa6"><div class="ttname"><a href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">armnn::Coordinates</a></div><div class="ttdeci">std::array< unsigned int, MaxNumOfTensorDimensions > Coordinates</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.html#l00015">InternalTypes.hpp:15</a></div></div>
<div class="ttc" id="a_cl_gather_nd_workload_8hpp_html"><div class="ttname"><a href="_cl_gather_nd_workload_8hpp.html">ClGatherNdWorkload.hpp</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_cl_gather_nd_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::ClGatherNdWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_gather_nd_workload_8cpp_source.html#l00198">ClGatherNdWorkload.cpp:198</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_cl_gather_nd_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_gather_nd_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::ClGatherNdWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_gather_nd_workload_8cpp_source.html#l00196">ClGatherNdWorkload.cpp:196</a></div></div>
<div class="ttc" id="a_cl_workload_utils_8hpp_html_a2d57ef1645138f5f8a6dbd2ce92dc072"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00036">ClWorkloadUtils.hpp:36</a></div></div>
<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
-<div class="ttc" id="anamespacearmnn_html_ac40d3e4035af5fbe68d9e126a8d6367c"><div class="ttname"><a href="namespacearmnn.html#ac40d3e4035af5fbe68d9e126a8d6367c">armnn::CalculateGatherNdKeyIndices</a></div><div class="ttdeci">std::map< std::string, unsigned int > CalculateGatherNdKeyIndices(TensorInfo inputInfo0, TensorInfo inputInfo1)</div><div class="ttdoc">Calculates the key index values needed for GatherNd: N, ND, K, W, C (N is always 1)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00312">WorkloadUtils.cpp:312</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ac40d3e4035af5fbe68d9e126a8d6367c"><div class="ttname"><a href="namespacearmnn.html#ac40d3e4035af5fbe68d9e126a8d6367c">armnn::CalculateGatherNdKeyIndices</a></div><div class="ttdeci">std::map< std::string, unsigned int > CalculateGatherNdKeyIndices(TensorInfo inputInfo0, TensorInfo inputInfo1)</div><div class="ttdoc">Calculates the key index values needed for GatherNd: N, ND, K, W, C (N is always 1)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8cpp_source.html#l00313">WorkloadUtils.cpp:313</a></div></div>
<div class="ttc" id="a_cl_workload_utils_8hpp_html"><div class="ttname"><a href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a></div></div>
<div class="ttc" id="a_arm_compute_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_utils_8hpp.html">ArmComputeUtils.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
-<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div>
-<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_cl_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_cl_tensor_handle.html">armnn::IClTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_cl_tensor_handle_8hpp_source.html#l00013">IClTensorHandle.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</a></div></div>
<div class="ttc" id="a_cl_tensor_handle_8hpp_html"><div class="ttname"><a href="_cl_tensor_handle_8hpp.html">ClTensorHandle.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< GatherNdQueueDescriptor >::m_Data</a></div><div class="ttdeci">GatherNdQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
-<div class="ttc" id="anamespacearmnn_html_a52c299ca6a3884c609583a5a0663db80"><div class="ttname"><a href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00168">ClWorkloadUtils.hpp:168</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a52c299ca6a3884c609583a5a0663db80"><div class="ttname"><a href="namespacearmnn.html#a52c299ca6a3884c609583a5a0663db80">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00167">ClWorkloadUtils.hpp:167</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="aclassarmnn_1_1_tensor_info_html_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00195">Tensor.hpp:195</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="anamespacearmnn_html_a44a3b98b37a25c995aa9e4dae7d7b456"><div class="ttname"><a href="namespacearmnn.html#a44a3b98b37a25c995aa9e4dae7d7b456">armnn::ComputeAclAxis</a></div><div class="ttdeci">int ComputeAclAxis(const int &armnnAxis, const armnn::TensorInfo &tensor)</div><div class="ttdoc">Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank,...</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00273">ArmComputeUtils.hpp:273</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a44a3b98b37a25c995aa9e4dae7d7b456"><div class="ttname"><a href="namespacearmnn.html#a44a3b98b37a25c995aa9e4dae7d7b456">armnn::ComputeAclAxis</a></div><div class="ttdeci">int ComputeAclAxis(const int &armnnAxis, const armnn::TensorInfo &tensor)</div><div class="ttdoc">Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank,...</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00246">ArmComputeUtils.hpp:246</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_cl_gather_nd_workload_html_a5868930f1571f13d08cda4116b00b7c0"><div class="ttname"><a href="classarmnn_1_1_cl_gather_nd_workload.html#a5868930f1571f13d08cda4116b00b7c0">armnn::ClGatherNdWorkload::ClGatherNdWorkload</a></div><div class="ttdeci">ClGatherNdWorkload(const GatherNdQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_gather_nd_workload_8cpp_source.html#l00099">ClGatherNdWorkload.cpp:99</a></div></div>
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