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Diffstat (limited to 'latest/classarmnn_1_1_cl_gather_nd_workload.html')
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diff --git a/latest/classarmnn_1_1_cl_gather_nd_workload.html b/latest/classarmnn_1_1_cl_gather_nd_workload.html index 80c806c698..314312e85b 100644 --- a/latest/classarmnn_1_1_cl_gather_nd_workload.html +++ b/latest/classarmnn_1_1_cl_gather_nd_workload.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> @@ -251,60 +251,58 @@ Additional Inherited Members</h2></td></tr> <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.GetDataType() == <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.SetShape({ 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.GetShape()));</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="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.SetShape({ 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.GetShape()));</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><!-- fragment --> -<p class="reference">References <a class="el" href="_workload_utils_8cpp_source.html#l00312">armnn::CalculateGatherNdKeyIndices()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload< GatherNdQueueDescriptor >::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00027">QueueDescriptor::m_Outputs</a>, <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::SetShape()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00446">QueueDescriptor::ValidateInputsOutputs()</a>.</p> +<p class="reference">References <a class="el" href="_workload_utils_8cpp_source.html#l00313">armnn::CalculateGatherNdKeyIndices()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload< GatherNdQueueDescriptor >::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00027">QueueDescriptor::m_Outputs</a>, <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::SetShape()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00447">QueueDescriptor::ValidateInputsOutputs()</a>.</p> </div> </div> @@ -334,16 +332,16 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_i_workload.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_gather_nd_workload_8cpp_source.html#l00198">198</a> of file <a class="el" href="_cl_gather_nd_workload_8cpp_source.html">ClGatherNdWorkload.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00199"></a><span class="lineno"> 199</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> +<p class="definition">Definition at line <a class="el" href="_cl_gather_nd_workload_8cpp_source.html#l00196">196</a> of file <a class="el" href="_cl_gather_nd_workload_8cpp_source.html">ClGatherNdWorkload.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00197"></a><span class="lineno"> 197</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><!-- fragment --> -<p class="reference">References <a class="el" href="_cl_workload_utils_8hpp_source.html#l00036">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>, <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, and <a class="el" href="_cl_workload_utils_8hpp_source.html#l00168">armnn::RunClFunction()</a>.</p> +<p class="reference">References <a class="el" href="_cl_workload_utils_8hpp_source.html#l00036">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>, <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, and <a class="el" href="_cl_workload_utils_8hpp_source.html#l00167">armnn::RunClFunction()</a>.</p> </div> </div> @@ -353,27 +351,25 @@ Additional Inherited Members</h2></td></tr> </ul> </div><!-- contents --> </div><!-- doc-content --> -<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="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="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_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="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="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="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_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_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_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> <!-- start footer part --> <div id="nav-path" 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