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<a href="#pub-methods">Public Member Functions</a> &#124;
<a href="structarmnn_1_1_stack_queue_descriptor-members.html">List of all members</a> </div>
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<div class="title">StackQueueDescriptor Struct Reference</div> </div>
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<p><code>#include &lt;<a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>&gt;</code></p>
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Inheritance diagram for StackQueueDescriptor:</div>
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Collaboration diagram for StackQueueDescriptor:</div>
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Public Member Functions</h2></td></tr>
<tr class="memitem:a041e495449e22774a34d92b0904c10bf"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_stack_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">Validate</a> (const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;workloadInfo) const</td></tr>
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<tr class="inherit_header pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_structarmnn_1_1_queue_descriptor_with_parameters')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.html">QueueDescriptorWithParameters&lt; StackDescriptor &gt;</a></td></tr>
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<tr class="memitem:a75d3b85e1e50b1dff74ee84a593d089e inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#a75d3b85e1e50b1dff74ee84a593d089e">QueueDescriptor</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> const &amp;)=default</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.html#l00152">152</a> of file <a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>.</p>
</div><h2 class="groupheader">Member Function Documentation</h2>
<a id="a041e495449e22774a34d92b0904c10bf"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a041e495449e22774a34d92b0904c10bf">&#9670;&nbsp;</a></span>Validate()</h2>
<div class="memitem">
<div class="memproto">
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<td class="memname">void Validate </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;&#160;</td>
<td class="paramname"><em>workloadInfo</em></td><td>)</td>
<td> const</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l00916">916</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>&#160;{</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;StackQueueDescriptor&quot;</span>};</div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>&#160; </div>
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>&#160; ValidateNumOutputs(workloadInfo, descriptorName, 1);</div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>&#160; </div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> != workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size())</div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>&#160; {</div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Must have the defined number of input tensors.&quot;</span>);</div>
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>&#160; }</div>
<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>&#160; </div>
<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>&#160; <span class="comment">// All inputs must have the same shape, which is defined in parameters</span></div>
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; inputShape = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a>;</div>
<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size(); ++i)</div>
<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>&#160; {</div>
<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>&#160; <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i].GetShape() != inputShape)</div>
<div class="line"><a name="l00932"></a><span class="lineno"> 932</span>&#160; {</div>
<div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: All input tensor shapes must match the defined shape.&quot;</span>);</div>
<div class="line"><a name="l00934"></a><span class="lineno"> 934</span>&#160; }</div>
<div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160; }</div>
<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160; </div>
<div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160; <span class="keywordflow">if</span> (inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() &gt; 4)</div>
<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>&#160; {</div>
<div class="line"><a name="l00939"></a><span class="lineno"> 939</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Input tensor may have up to 4 dimensions.&quot;</span>);</div>
<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160; }</div>
<div class="line"><a name="l00941"></a><span class="lineno"> 941</span>&#160; </div>
<div class="line"><a name="l00942"></a><span class="lineno"> 942</span>&#160; <span class="comment">// m_Axis is 0-based and may take values from 0 to the number of input dimensions (inclusive),</span></div>
<div class="line"><a name="l00943"></a><span class="lineno"> 943</span>&#160; <span class="comment">// since the output tensor has an additional dimension.</span></div>
<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> &gt; inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>())</div>
<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; {</div>
<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Axis may not be greater &quot;</span></div>
<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160; <span class="stringliteral">&quot;than the number of input dimensions.&quot;</span>);</div>
<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160; }</div>
<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160; </div>
<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160; <span class="comment">// Output shape must be as inferred from the input shape</span></div>
<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; outputShape = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0].GetShape();</div>
<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>; ++i)</div>
<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>&#160; {</div>
<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>&#160; <span class="keywordflow">if</span> (outputShape[i] != inputShape[i])</div>
<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>&#160; {</div>
<div class="line"><a name="l00956"></a><span class="lineno"> 956</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Output tensor must &quot;</span></div>
<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>&#160; <span class="stringliteral">&quot;match shape inferred from input tensor.&quot;</span>);</div>
<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>&#160; }</div>
<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>&#160; }</div>
<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>&#160; </div>
<div class="line"><a name="l00961"></a><span class="lineno"> 961</span>&#160; <span class="keywordflow">if</span> (outputShape[<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a>] != <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">m_NumInputs</a>)</div>
<div class="line"><a name="l00962"></a><span class="lineno"> 962</span>&#160; {</div>
<div class="line"><a name="l00963"></a><span class="lineno"> 963</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Output tensor must &quot;</span></div>
<div class="line"><a name="l00964"></a><span class="lineno"> 964</span>&#160; <span class="stringliteral">&quot;match shape inferred from input tensor.&quot;</span>);</div>
<div class="line"><a name="l00965"></a><span class="lineno"> 965</span>&#160; }</div>
<div class="line"><a name="l00966"></a><span class="lineno"> 966</span>&#160; </div>
<div class="line"><a name="l00967"></a><span class="lineno"> 967</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> + 1; i &lt; inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() + 1; ++i)</div>
<div class="line"><a name="l00968"></a><span class="lineno"> 968</span>&#160; {</div>
<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>&#160; <span class="keywordflow">if</span> (outputShape[i] != inputShape[i-1])</div>
<div class="line"><a name="l00970"></a><span class="lineno"> 970</span>&#160; {</div>
<div class="line"><a name="l00971"></a><span class="lineno"> 971</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Output tensor must &quot;</span></div>
<div class="line"><a name="l00972"></a><span class="lineno"> 972</span>&#160; <span class="stringliteral">&quot;match shape inferred from input tensor.&quot;</span>);</div>
<div class="line"><a name="l00973"></a><span class="lineno"> 973</span>&#160; }</div>
<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>&#160; }</div>
<div class="line"><a name="l00975"></a><span class="lineno"> 975</span>&#160; </div>
<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>&#160; <span class="keywordflow">if</span> (outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() &gt; 5)</div>
<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>&#160; {</div>
<div class="line"><a name="l00978"></a><span class="lineno"> 978</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Output tensor may have up to 5 dimensions.&quot;</span>);</div>
<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>&#160; }</div>
<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>&#160; </div>
<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>&#160; <span class="comment">// Check the supported data types</span></div>
<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div>
<div class="line"><a name="l00983"></a><span class="lineno"> 983</span>&#160; {</div>
<div class="line"><a name="l00984"></a><span class="lineno"> 984</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div>
<div class="line"><a name="l00985"></a><span class="lineno"> 985</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div>
<div class="line"><a name="l00986"></a><span class="lineno"> 986</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div>
<div class="line"><a name="l00987"></a><span class="lineno"> 987</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div>
<div class="line"><a name="l00988"></a><span class="lineno"> 988</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div>
<div class="line"><a name="l00989"></a><span class="lineno"> 989</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div>
<div class="line"><a name="l00990"></a><span class="lineno"> 990</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div>
<div class="line"><a name="l00991"></a><span class="lineno"> 991</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div>
<div class="line"><a name="l00992"></a><span class="lineno"> 992</span>&#160; };</div>
<div class="line"><a name="l00993"></a><span class="lineno"> 993</span>&#160; </div>
<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>&#160; ValidateDataTypes(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0], supportedTypes, descriptorName);</div>
<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>&#160; </div>
<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1ul; i &lt; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size(); ++i)</div>
<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>&#160; {</div>
<div class="line"><a name="l00998"></a><span class="lineno"> 998</span>&#160; ValidateTensorDataTypesMatch(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0],</div>
<div class="line"><a name="l00999"></a><span class="lineno"> 999</span>&#160; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i],</div>
<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160; descriptorName,</div>
<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160; <span class="stringliteral">&quot;input_0&quot;</span>,</div>
<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160; <span class="stringliteral">&quot;input_&quot;</span> + std::to_string(i));</div>
<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160; }</div>
<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160; </div>
<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160; ValidateTensorDataTypesMatch(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0],</div>
<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0],</div>
<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160; descriptorName,</div>
<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160; <span class="stringliteral">&quot;input_0&quot;</span>,</div>
<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160; <span class="stringliteral">&quot;output&quot;</span>);</div>
<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160;}</div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01273">StackDescriptor::m_Axis</a>, <a class="el" href="_descriptors_8hpp_source.html#l01277">StackDescriptor::m_InputShape</a>, <a class="el" href="_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="_descriptors_8hpp_source.html#l01275">StackDescriptor::m_NumInputs</a>, <a class="el" href="_workload_info_8hpp_source.html#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters&lt; StackDescriptor &gt;::m_Parameters</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
</div>
</div>
<hr/>The documentation for this struct was generated from the following files:<ul>
<li>include/armnn/backends/<a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a></li>
<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a></li>
</ul>
</div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div><div class="ttdeci">@ Boolean</div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div><div class="ttdeci">@ BFloat16</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="astructarmnn_1_1_stack_descriptor_html_aed6086070440ceb94129bef06f70173f"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#aed6086070440ceb94129bef06f70173f">armnn::StackDescriptor::m_NumInputs</a></div><div class="ttdeci">uint32_t m_NumInputs</div><div class="ttdoc">Number of input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01275">Descriptors.hpp:1275</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div>
<div class="ttc" id="astructarmnn_1_1_workload_info_html_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00019">WorkloadInfo.hpp:19</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters&lt; StackDescriptor &gt;::m_Parameters</a></div><div class="ttdeci">StackDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div>
<div class="ttc" id="astructarmnn_1_1_stack_descriptor_html_ab218de7805899c8412d75d1fd1d846d2"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#ab218de7805899c8412d75d1fd1d846d2">armnn::StackDescriptor::m_Axis</a></div><div class="ttdeci">uint32_t m_Axis</div><div class="ttdoc">0-based axis along which to stack the input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01273">Descriptors.hpp:1273</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="astructarmnn_1_1_stack_descriptor_html_a2bea87b470268bb0b73457c3733dbc04"><div class="ttname"><a href="structarmnn_1_1_stack_descriptor.html#a2bea87b470268bb0b73457c3733dbc04">armnn::StackDescriptor::m_InputShape</a></div><div class="ttdeci">TensorShape m_InputShape</div><div class="ttdoc">Required shape of all input tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01277">Descriptors.hpp:1277</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="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div>
<div class="ttc" id="astructarmnn_1_1_workload_info_html_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00018">WorkloadInfo.hpp:18</a></div></div>
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