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<a href="#pub-methods">Public Member Functions</a> &#124;
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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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<img src="structarmnn_1_1_stack_queue_descriptor.png" usemap="#StackQueueDescriptor_map" alt=""/>
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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 pub_methods_structarmnn_1_1_queue_descriptor"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_structarmnn_1_1_queue_descriptor')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a></td></tr>
<tr class="memitem:a765d2cee4ccce5b9467e0c2b6d25b84a inherit pub_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a> (const std::string &amp;descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</td></tr>
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Additional Inherited Members</h2></td></tr>
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<tr class="memitem:a4b50e46a6810018f3edecfb68b2a76b3 inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a></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>
<tr class="memitem:a52679b441422256016dc6f5b5e9193d5 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.html#a52679b441422256016dc6f5b5e9193d5">~QueueDescriptorWithParameters</a> ()=default</td></tr>
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<tr class="inherit_header pro_methods_structarmnn_1_1_queue_descriptor"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_structarmnn_1_1_queue_descriptor')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a></td></tr>
<tr class="memitem:af67c3785421c91d37fb22132d441f704 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#af67c3785421c91d37fb22132d441f704">~QueueDescriptor</a> ()=default</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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<tr class="memitem:a1c928b975a0de05cf2536c721ba6b521 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#a1c928b975a0de05cf2536c721ba6b521">operator=</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>
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<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.html#l00124">124</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>
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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>
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</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l00864">864</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
<p class="reference">References <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_8hpp_source.html#l00043">TensorShape::GetNumDimensions()</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00019">WorkloadInfo::m_OutputTensorInfos</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 class="fragment"><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>&#160;{</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;StackQueueDescriptor&quot;</span>};</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>&#160;</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>&#160; ValidateNumOutputs(workloadInfo, descriptorName, 1);</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>&#160;</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</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="l00871"></a><span class="lineno"> 871</span>&#160; {</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</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="l00873"></a><span class="lineno"> 873</span>&#160; }</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>&#160;</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>&#160; <span class="comment">// All inputs must have the same shape, which is defined in parameters</span></div><div class="line"><a name="l00876"></a><span class="lineno"> 876</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="l00877"></a><span class="lineno"> 877</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="l00878"></a><span class="lineno"> 878</span>&#160; {</div><div class="line"><a name="l00879"></a><span class="lineno"> 879</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="l00880"></a><span class="lineno"> 880</span>&#160; {</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</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="l00882"></a><span class="lineno"> 882</span>&#160; }</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>&#160; }</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>&#160;</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</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="l00886"></a><span class="lineno"> 886</span>&#160; {</div><div class="line"><a name="l00887"></a><span class="lineno"> 887</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="l00888"></a><span class="lineno"> 888</span>&#160; }</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>&#160;</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</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="l00891"></a><span class="lineno"> 891</span>&#160; <span class="comment">// since the output tensor has an additional dimension.</span></div><div class="line"><a name="l00892"></a><span class="lineno"> 892</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="l00893"></a><span class="lineno"> 893</span>&#160; {</div><div class="line"><a name="l00894"></a><span class="lineno"> 894</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="l00895"></a><span class="lineno"> 895</span>&#160; <span class="stringliteral">&quot;than the number of input dimensions.&quot;</span>);</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>&#160; }</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>&#160;</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>&#160; <span class="comment">// Output shape must be as inferred from the input shape</span></div><div class="line"><a name="l00899"></a><span class="lineno"> 899</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="l00900"></a><span class="lineno"> 900</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="l00901"></a><span class="lineno"> 901</span>&#160; {</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>&#160; <span class="keywordflow">if</span> (outputShape[i] != inputShape[i])</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>&#160; {</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</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="l00905"></a><span class="lineno"> 905</span>&#160; <span class="stringliteral">&quot;match shape inferred from input tensor.&quot;</span>);</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>&#160; }</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span>&#160; }</div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>&#160;</div><div class="line"><a name="l00909"></a><span class="lineno"> 909</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="l00910"></a><span class="lineno"> 910</span>&#160; {</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</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="l00912"></a><span class="lineno"> 912</span>&#160; <span class="stringliteral">&quot;match shape inferred from input tensor.&quot;</span>);</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>&#160; }</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>&#160;</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</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="l00916"></a><span class="lineno"> 916</span>&#160; {</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>&#160; <span class="keywordflow">if</span> (outputShape[i] != inputShape[i-1])</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>&#160; {</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</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="l00920"></a><span class="lineno"> 920</span>&#160; <span class="stringliteral">&quot;match shape inferred from input tensor.&quot;</span>);</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; }</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">if</span> (outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() &gt; 5)</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; <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="l00927"></a><span class="lineno"> 927</span>&#160; }</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>&#160;</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span>&#160; <span class="comment">// Check the supported data types</span></div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>&#160; {</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></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;</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</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="l00941"></a><span class="lineno"> 941</span>&#160;</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</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="l00943"></a><span class="lineno"> 943</span>&#160; {</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</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="l00945"></a><span class="lineno"> 945</span>&#160; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i],</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160; descriptorName,</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160; <span class="stringliteral">&quot;input_0&quot;</span>,</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160; <span class="stringliteral">&quot;input_&quot;</span> + std::to_string(i));</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;</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</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="l00952"></a><span class="lineno"> 952</span>&#160; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0],</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>&#160; descriptorName,</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>&#160; <span class="stringliteral">&quot;input_0&quot;</span>,</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>&#160; <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>&#160;}</div><div class="ttc" id="structarmnn_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#l00972">Descriptors.hpp:972</a></div></div>
<div class="ttc" id="classarmnn_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="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00043">Tensor.hpp:43</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="structarmnn_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#l00049">WorkloadData.hpp:49</a></div></div>
<div class="ttc" id="structarmnn_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="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00019">WorkloadInfo.hpp:19</a></div></div>
<div class="ttc" id="structarmnn_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#l00976">Descriptors.hpp:976</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="classarmnn_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="structarmnn_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#l00974">Descriptors.hpp:974</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="structarmnn_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="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00018">WorkloadInfo.hpp:18</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
<div class="ttc" id="classarmnn_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="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
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