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| author | Nikhil Raj <nikhil.raj@arm.com> | 2024-05-16 09:47:51 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2024-05-16 09:47:51 +0100 |
| commit | 1dc83febfb76d6a770bdf3ba16c4034a970c2320 (patch) | |
| tree | 66d27e5587e9010f3db26a23a348df844c88f8e6 /latest/classarmnn_1_1_concat_layer.html | |
| parent | 38b600d8abb2c5f7a44511b5deddf441f975d51d (diff) | |
| download | armnn-gh-pages.tar.gz | |
IVGCVSW-8260 Update Doxgen Docu for 24.05gh-pages
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: If4bc983bf2793a27ded8e26ac2b29523fc1e4711
Diffstat (limited to 'latest/classarmnn_1_1_concat_layer.html')
| -rw-r--r-- | latest/classarmnn_1_1_concat_layer.html | 317 |
1 files changed, 166 insertions, 151 deletions
diff --git a/latest/classarmnn_1_1_concat_layer.html b/latest/classarmnn_1_1_concat_layer.html index 6edd21a1ff..ab3f59d53c 100644 --- a/latest/classarmnn_1_1_concat_layer.html +++ b/latest/classarmnn_1_1_concat_layer.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> @@ -438,10 +438,10 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_layer.html#ae89ff455503aa106d00bf34103d2f2e0">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_concat_layer_8cpp_source.html#l00201">201</a> of file <a class="el" href="_concat_layer_8cpp_source.html">ConcatLayer.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> {</div> -<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">return</span> CloneBase<ConcatLayer>(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> -<div class="line"><a name="l00204"></a><span class="lineno"> 204</span> }</div> +<p class="definition">Definition at line <a class="el" href="_concat_layer_8cpp_source.html#l00208">208</a> of file <a class="el" href="_concat_layer_8cpp_source.html">ConcatLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> {</div> +<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">return</span> CloneBase<ConcatLayer>(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> +<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< OriginsDescriptor >::m_Param</a>.</p> @@ -500,24 +500,27 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a3ff62126ec713a2708e5fbaa6146a7de">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_concat_layer_8cpp_source.html#l00182">182</a> of file <a class="el" href="_concat_layer_8cpp_source.html">ConcatLayer.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> {</div> -<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  OutputSlot& slot = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div> -<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = slot.GetTensorHandleFactoryId();</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>  <span class="keywordflow">if</span> (factoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</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>  CreateTensors(registry, workloadFactory, isMemoryManaged);</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>  <span class="keywordflow">else</span></div> +<p class="definition">Definition at line <a class="el" href="_concat_layer_8cpp_source.html#l00186">186</a> of file <a class="el" href="_concat_layer_8cpp_source.html">ConcatLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> {</div> +<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  OutputSlot& slot = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0);</div> +<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = slot.GetTensorHandleFactoryId();</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>  <span class="keywordflow">if</span> (factoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</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>  ITensorHandleFactory* handleFactory = registry.GetFactory(factoryId);</div> -<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(handleFactory);</div> -<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  CreateTensors(registry, *handleFactory, isMemoryManaged);</div> -<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  }</div> -<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> }</div> +<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  CreateTensors(registry, workloadFactory, isMemoryManaged);</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>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  {</div> +<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  ITensorHandleFactory* handleFactory = registry.GetFactory(factoryId);</div> +<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">if</span> (!handleFactory)</div> +<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div> +<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">"handleFactory is returning a nullptr."</span>);</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>  CreateTensors(registry, *handleFactory, isMemoryManaged);</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> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00039">TensorHandleFactoryRegistry::GetFactory()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8cpp_source.html#l00205">OutputSlot::GetTensorHandleFactoryId()</a>, and <a class="el" href="_i_tensor_handle_factory_8hpp_source.html#l00050">ITensorHandleFactory::LegacyFactoryId</a>.</p> +<p class="reference">References <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00039">TensorHandleFactoryRegistry::GetFactory()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8cpp_source.html#l00218">OutputSlot::GetTensorHandleFactoryId()</a>, and <a class="el" href="_i_tensor_handle_factory_8hpp_source.html#l00050">ITensorHandleFactory::LegacyFactoryId</a>.</p> </div> </div> @@ -573,7 +576,7 @@ Additional Inherited Members</h2></td></tr> <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> factory.CreateWorkload(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">LayerType::Concat</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div> <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::Concat</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00192">OriginsDescriptor::GetNumDimensions()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00187">OriginsDescriptor::GetNumViews()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00197">OriginsDescriptor::GetViewOrigin()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< OriginsDescriptor >::m_Param</a>, <a class="el" href="_workload_data_8hpp_source.html#l00143">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters< OriginsDescriptor >::PrepInfoAndDesc()</a>, and <a class="el" href="_layer_8cpp_source.html#l00287">Layer::SetAdditionalInfo()</a>.</p> +<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::Concat</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">IWorkloadFactory::CreateWorkload()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00192">OriginsDescriptor::GetNumDimensions()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00187">OriginsDescriptor::GetNumViews()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00197">OriginsDescriptor::GetViewOrigin()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< OriginsDescriptor >::m_Param</a>, <a class="el" href="_workload_data_8hpp_source.html#l00143">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters< OriginsDescriptor >::PrepInfoAndDesc()</a>, and <a class="el" href="_layer_8cpp_source.html#l00303">Layer::SetAdditionalInfo()</a>.</p> </div> </div> @@ -605,10 +608,10 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_concat_layer_8cpp_source.html#l00323">323</a> of file <a class="el" href="_concat_layer_8cpp_source.html">ConcatLayer.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> {</div> -<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> -<div class="line"><a name="l00326"></a><span class="lineno"> 326</span> }</div> +<p class="definition">Definition at line <a class="el" href="_concat_layer_8cpp_source.html#l00341">341</a> of file <a class="el" href="_concat_layer_8cpp_source.html">ConcatLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> {</div> +<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  strategy.ExecuteStrategy(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), {}, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> +<div class="line"><a name="l00344"></a><span class="lineno"> 344</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy::ExecuteStrategy()</a>, <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters< OriginsDescriptor >::GetParameters()</a>.</p> @@ -649,99 +652,105 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_concat_layer_8cpp_source.html#l00206">206</a> of file <a class="el" href="_concat_layer_8cpp_source.html">ConcatLayer.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> {</div> -<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShapes.size() == <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>());</div> -<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  </div> -<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>();</div> -<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i< inputShapes.size(); i++)</div> -<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  {</div> -<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keyword">auto</span>& inputShape = inputShapes[i];</div> -<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  </div> -<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  ConditionalThrowIfNotEqual<LayerValidationException>(</div> -<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="stringliteral">"ConcatLayer: Num Dimensions must match all inputs."</span>,</div> -<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  numDims,</div> -<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  inputShape.GetNumDimensions());</div> -<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  }</div> -<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  </div> -<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="comment">// Finds the bounding box (extents) of all the views.</span></div> -<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::vector<unsigned int> extentMin(numDims);</div> -<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  std::vector<unsigned int> extentMax(numDims);</div> -<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputShapes.size(); i++)</div> +<p class="definition">Definition at line <a class="el" href="_concat_layer_8cpp_source.html#l00213">213</a> of file <a class="el" href="_concat_layer_8cpp_source.html">ConcatLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> {</div> +<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">if</span> (inputShapes.size() != <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>())</div> +<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  {</div> +<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"inputShapes' and m_NumViews' sizes do not match (\""</span></div> +<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  + std::to_string(inputShapes.size()) +</div> +<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="stringliteral">"\" vs \""</span></div> +<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  + std::to_string(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>()) + <span class="stringliteral">"\")"</span>);</div> +<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  }</div> +<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  </div> +<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>();</div> +<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i< inputShapes.size(); i++)</div> <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  {</div> -<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keyword">const</span> uint32_t* origin = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(i);</div> -<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& shape = inputShapes[i];</div> -<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < numDims; d++)</div> -<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  {</div> -<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  extentMin[d] = std::min(extentMin[d], origin[d]);</div> -<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  extentMax[d] = std::max(extentMax[d], origin[d] + shape[d]);</div> -<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  }</div> -<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div> -<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  </div> -<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="comment">// Checks that the bounding box starts at the origin.</span></div> -<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">if</span> (!std::all_of(extentMin.begin(), extentMin.end(), [](<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> s) { return s == 0; }))</div> -<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  {</div> -<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">throw</span> LayerValidationException(<span class="stringliteral">"ConcatLayer: there is no view that starts at the origin"</span>);</div> -<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</div> -<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  </div> -<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="comment">// Checks that there are no overlaps of views (this would lead to undefined output at those locations).</span></div> -<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="comment">// Checks each pair of views against each other</span></div> -<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="comment">// (and doesn't bother to check against self, or check the same pair both ways round).</span></div> -<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> a = 0; a < inputShapes.size(); a++)</div> -<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  {</div> -<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">const</span> uint32_t* aOrigin = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(a);</div> -<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& aShape = inputShapes[a];</div> -<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> b = 0; b < a; b++)</div> -<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  {</div> -<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">const</span> uint32_t* bOrigin = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(b);</div> -<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& bShape = inputShapes[b];</div> -<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  </div> -<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordtype">bool</span> allAxesOverlap = <span class="keyword">true</span>;</div> -<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < numDims && allAxesOverlap; d++)</div> -<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  {</div> -<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> a1 = aOrigin[d];</div> -<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> a2 = aOrigin[d] + aShape[d];</div> -<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  </div> -<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> b1 = bOrigin[d];</div> -<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> b2 = bOrigin[d] + bShape[d];</div> -<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  </div> -<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">if</span> (a2 <= b1 || b2 <= a1)</div> -<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  {</div> -<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  allAxesOverlap = <span class="keyword">false</span>;</div> -<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  }</div> -<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  }</div> -<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">if</span> (allAxesOverlap)</div> +<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keyword">auto</span>& inputShape = inputShapes[i];</div> +<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  </div> +<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  ConditionalThrowIfNotEqual<LayerValidationException>(</div> +<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="stringliteral">"ConcatLayer: Num Dimensions must match all inputs."</span>,</div> +<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  numDims,</div> +<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  inputShape.GetNumDimensions());</div> +<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  }</div> +<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  </div> +<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="comment">// Finds the bounding box (extents) of all the views.</span></div> +<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  std::vector<unsigned int> extentMin(numDims);</div> +<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  std::vector<unsigned int> extentMax(numDims);</div> +<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputShapes.size(); i++)</div> +<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  {</div> +<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keyword">const</span> uint32_t* origin = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(i);</div> +<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& shape = inputShapes[i];</div> +<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < numDims; d++)</div> +<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div> +<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  extentMin[d] = std::min(extentMin[d], origin[d]);</div> +<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  extentMax[d] = std::max(extentMax[d], origin[d] + shape[d]);</div> +<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  }</div> +<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div> +<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  </div> +<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="comment">// Checks that the bounding box starts at the origin.</span></div> +<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">if</span> (!std::all_of(extentMin.begin(), extentMin.end(), [](<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> s) { return s == 0; }))</div> +<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div> +<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">throw</span> LayerValidationException(<span class="stringliteral">"ConcatLayer: there is no view that starts at the origin"</span>);</div> +<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  }</div> +<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  </div> +<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="comment">// Checks that there are no overlaps of views (this would lead to undefined output at those locations).</span></div> +<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="comment">// Checks each pair of views against each other</span></div> +<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="comment">// (and doesn't bother to check against self, or check the same pair both ways round).</span></div> +<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> a = 0; a < inputShapes.size(); a++)</div> +<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  {</div> +<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">const</span> uint32_t* aOrigin = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(a);</div> +<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& aShape = inputShapes[a];</div> +<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> b = 0; b < a; b++)</div> +<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div> +<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">const</span> uint32_t* bOrigin = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#ab78e6fe963508c1ac5c00d04bb3361a3">GetViewOrigin</a>(b);</div> +<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>& bShape = inputShapes[b];</div> +<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  </div> +<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordtype">bool</span> allAxesOverlap = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < numDims && allAxesOverlap; d++)</div> <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div> -<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">throw</span> LayerValidationException(<span class="stringliteral">"ConcatLayer: Some views overlap."</span>);</div> -<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div> -<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  }</div> -<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div> -<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  </div> -<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="comment">// Checks that there are no "holes", i.e. regions of the output which is not covered by a view.</span></div> -<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="comment">// Because we already checked that there are no overlaps, this can be done simply by checking that</span></div> -<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="comment">// the total 'volume' of the views is the same as the output.</span></div> -<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> totalViewsVolume = 0;</div> -<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputShapes.size(); i++)</div> -<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  {</div> -<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  totalViewsVolume += inputShapes[i].GetNumElements();</div> -<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div> -<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputVolume = 1;</div> -<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < numDims; d++)</div> -<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {</div> -<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  outputVolume *= (extentMax[d] - extentMin[d]);</div> -<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  }</div> -<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  </div> -<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  ConditionalThrowIfNotEqual<LayerValidationException>(</div> -<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="stringliteral">"ConcatLayer: there are some gaps between views"</span>,</div> -<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  totalViewsVolume,</div> -<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  outputVolume);</div> -<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  </div> -<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ TensorShape({numDims, extentMax.data()}) });</div> -<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> }</div> +<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> a1 = aOrigin[d];</div> +<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> a2 = aOrigin[d] + aShape[d];</div> +<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  </div> +<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> b1 = bOrigin[d];</div> +<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> b2 = bOrigin[d] + bShape[d];</div> +<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  </div> +<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">if</span> (a2 <= b1 || b2 <= a1)</div> +<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  {</div> +<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  allAxesOverlap = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  }</div> +<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  }</div> +<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">if</span> (allAxesOverlap)</div> +<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {</div> +<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">throw</span> LayerValidationException(<span class="stringliteral">"ConcatLayer: Some views overlap."</span>);</div> +<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  }</div> +<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div> +<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div> +<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  </div> +<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="comment">// Checks that there are no "holes", i.e. regions of the output which is not covered by a view.</span></div> +<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="comment">// Because we already checked that there are no overlaps, this can be done simply by checking that</span></div> +<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="comment">// the total 'volume' of the views is the same as the output.</span></div> +<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> totalViewsVolume = 0;</div> +<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputShapes.size(); i++)</div> +<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  {</div> +<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  totalViewsVolume += inputShapes[i].GetNumElements();</div> +<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  }</div> +<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputVolume = 1;</div> +<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 0; d < numDims; d++)</div> +<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  {</div> +<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  outputVolume *= (extentMax[d] - extentMin[d]);</div> +<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  }</div> +<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  </div> +<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  ConditionalThrowIfNotEqual<LayerValidationException>(</div> +<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="stringliteral">"ConcatLayer: there are some gaps between views"</span>,</div> +<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  totalViewsVolume,</div> +<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  outputVolume);</div> +<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  </div> +<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">return</span> std::vector<TensorShape>({ TensorShape({numDims, extentMax.data()}) });</div> +<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_descriptors_8cpp_source.html#l00192">OriginsDescriptor::GetNumDimensions()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00187">OriginsDescriptor::GetNumViews()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00197">OriginsDescriptor::GetViewOrigin()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< OriginsDescriptor >::m_Param</a>.</p> +<p class="reference">References <a class="el" href="_descriptors_8cpp_source.html#l00192">OriginsDescriptor::GetNumDimensions()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00187">OriginsDescriptor::GetNumViews()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00197">OriginsDescriptor::GetViewOrigin()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< OriginsDescriptor >::m_Param</a>.</p> -<p class="reference">Referenced by <a class="el" href="_concat_layer_8cpp_source.html#l00296">ConcatLayer::ValidateTensorShapesFromInputs()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_concat_layer_8cpp_source.html#l00309">ConcatLayer::ValidateTensorShapesFromInputs()</a>.</p> </div> </div> @@ -778,34 +787,39 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_layer.html#a84ff600212ba26e665de9b978ec896a4">Layer</a>.</p> -<p class="definition">Definition at line <a class="el" href="_concat_layer_8cpp_source.html#l00296">296</a> of file <a class="el" href="_concat_layer_8cpp_source.html">ConcatLayer.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> {</div> -<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="comment">// Validates Concat layer.</span></div> -<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  ConditionalThrowIfNotEqual<LayerValidationException>(</div> -<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="stringliteral">"ConcatLayer: Num Inputs must match num views."</span>,</div> -<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(),</div> -<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>());</div> -<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  </div> -<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> -<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  </div> -<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">const</span> TensorShape& outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> -<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  </div> -<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div> -<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  </div> -<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  std::vector<TensorShape> inputShapes;</div> -<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>(); ++i)</div> -<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  {</div> -<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  inputShapes.push_back(<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(i).<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="l00314"></a><span class="lineno"> 314</span>  }</div> -<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  </div> -<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_concat_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(inputShapes);</div> -<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  </div> -<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 1);</div> -<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  </div> -<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"ConcatLayer"</span>);</div> -<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> }</div> +<p class="definition">Definition at line <a class="el" href="_concat_layer_8cpp_source.html#l00309">309</a> of file <a class="el" href="_concat_layer_8cpp_source.html">ConcatLayer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> {</div> +<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="comment">// Validates Concat layer.</span></div> +<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  ConditionalThrowIfNotEqual<LayerValidationException>(</div> +<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="stringliteral">"ConcatLayer: Num Inputs must match num views."</span>,</div> +<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(),</div> +<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>());</div> +<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  </div> +<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">GetNumViews</a>(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> +<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  </div> +<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">const</span> TensorShape& outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> +<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  </div> +<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div> +<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  </div> +<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  std::vector<TensorShape> inputShapes;</div> +<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>(); ++i)</div> +<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  {</div> +<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  inputShapes.push_back(<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(i).<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="l00327"></a><span class="lineno"> 327</span>  }</div> +<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  </div> +<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_concat_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(inputShapes);</div> +<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  </div> +<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">if</span> (inferredShapes.size() != 1)</div> +<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  {</div> +<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">"inferredShapes has "</span></div> +<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  + std::to_string(inferredShapes.size()) +</div> +<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="stringliteral">" elements - should only have 1."</span>);</div> +<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  }</div> +<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  </div> +<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"ConcatLayer"</span>);</div> +<div class="line"><a name="l00339"></a><span class="lineno"> 339</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_assert_8hpp_source.html#l00014">ARMNN_ASSERT</a>, <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00334">Layer::GetNumInputSlots()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00187">OriginsDescriptor::GetNumViews()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00592">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00206">ConcatLayer::InferOutputShapes()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< OriginsDescriptor >::m_Param</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00435">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00391">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00504">Layer::VerifyShapeInferenceType()</a>.</p> +<p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00334">Layer::GetNumInputSlots()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00187">OriginsDescriptor::GetNumViews()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00614">InputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_concat_layer_8cpp_source.html#l00213">ConcatLayer::InferOutputShapes()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters< OriginsDescriptor >::m_Param</a>, <a class="el" href="_layer_8hpp_source.html#l00441">Layer::m_ShapeInferenceMethod</a>, <a class="el" href="_layer_8cpp_source.html#l00457">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_layer_8cpp_source.html#l00410">Layer::VerifyLayerConnections()</a>, and <a class="el" href="_layer_8cpp_source.html#l00526">Layer::VerifyShapeInferenceType()</a>.</p> </div> </div> @@ -815,37 +829,38 @@ Additional Inherited Members</h2></td></tr> </ul> </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="astructarmnn_1_1_origins_descriptor_html_a35546e7b56e6e972a495b48748478ede"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a35546e7b56e6e972a495b48748478ede">armnn::OriginsDescriptor::GetNumViews</a></div><div class="ttdeci">uint32_t GetNumViews() const</div><div class="ttdoc">Get the number of views.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00187">Descriptors.cpp:187</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="astructarmnn_1_1_origins_descriptor_html_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">armnn::OriginsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00192">Descriptors.cpp:192</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_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters< OriginsDescriptor >::GetParameters</a></div><div class="ttdeci">const OriginsDescriptor & GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</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_i_tensor_handle_factory_html_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00050">ITensorHandleFactory.hpp:50</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_concat_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_concat_layer.html#a65ca562c882ad619684445a1402f415a">armnn::ConcatLayer::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="_concat_layer_8cpp_source.html#l00206">ConcatLayer.cpp:206</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_concat_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_concat_layer.html#a65ca562c882ad619684445a1402f415a">armnn::ConcatLayer::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="_concat_layer_8cpp_source.html#l00213">ConcatLayer.cpp:213</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters< OriginsDescriptor >::m_Param</a></div><div class="ttdeci">OriginsDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters.hpp:52</a></div></div> <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae20f0f2826a6549809f050b86274567f">armnn::LayerType::Concat</a></div><div class="ttdeci">@ Concat</div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters< OriginsDescriptor >::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_with_parameters_8hpp_source.html#l00044">LayerWithParameters.hpp:44</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="aclassarmnn_1_1_layer_html_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00334">Layer.hpp:334</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_i_tensor_handle_factory_html_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00049">ITensorHandleFactory.hpp:49</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="astructarmnn_1_1_origins_descriptor_html_ab78e6fe963508c1ac5c00d04bb3361a3"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#ab78e6fe963508c1ac5c00d04bb3361a3">armnn::OriginsDescriptor::GetViewOrigin</a></div><div class="ttdeci">const uint32_t * GetViewOrigin(uint32_t idx) const</div><div class="ttdoc">Return the view origin at the int value idx.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00197">Descriptors.cpp:197</a></div></div> <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a1f5a1d629b1ef52a0d8e0214a0fb51a1"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a1f5a1d629b1ef52a0d8e0214a0fb51a1">armnn::LayerWithParameters< OriginsDescriptor >::LayerWithParameters</a></div><div class="ttdeci">LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const OriginsDescriptor &param, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00030">LayerWithParameters.hpp:30</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_null_pointer_exception_html"><div class="ttname"><a href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00146">Exceptions.hpp:146</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> <!-- start footer part --> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="namespacearmnn.html">armnn</a></li><li class="navelem"><a 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