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<div class="title">ConcatQueueDescriptor 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 ConcatQueueDescriptor:</div>
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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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<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#l00102">102</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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<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>
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<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l00770">770</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="_workload_data_8hpp_source.html#l00030">QueueDescriptor::m_Inputs</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.html#l00110">ConcatQueueDescriptor::ViewOrigin::m_Origin</a>, <a class="el" href="_workload_data_8hpp_source.html#l00031">QueueDescriptor::m_Outputs</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="l00771"></a><span class="lineno"> 771</span>&#160;{</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;ConcatQueueDescriptor&quot;</span>};</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>&#160;</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160; ValidateNumOutputs(workloadInfo, descriptorName, 1);</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160;</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>.size() &lt;= 0)</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span>&#160; {</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</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;: At least one input needs to be provided.&quot;</span>);</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>&#160; }</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>.size() &lt;= 0)</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160; {</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</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;: At least one output needs to be provided.&quot;</span>);</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160; }</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>&#160;</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160; <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() &lt;= 0)</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>&#160; {</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</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;: At least one TensorInfo input needs to be provided.&quot;</span>);</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160; }</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160; <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() &lt;= 0)</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>&#160; {</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</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;: At least one TensorInfo output needs to be provided.&quot;</span>);</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>&#160; }</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>&#160;</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</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_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>() &gt; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape().GetNumDimensions())</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160; {</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</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;: Invalid concatenation axis provided.&quot;</span>);</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>&#160; }</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>&#160;</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160; <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape().GetNumDimensions() - <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">GetConcatAxis</a>() == 1)</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>&#160; {</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>&#160; <span class="keywordflow">return</span>;</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160; }</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>&#160;</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>&#160; <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() != <a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size())</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>&#160; {</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160; descriptorName + <span class="stringliteral">&quot;: Number of split windows &quot;</span></div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160; <span class="stringliteral">&quot;has to match number of workloadInfo.m_InputTensorInfos. &quot;</span></div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>&#160; <span class="stringliteral">&quot;Number of windows: &quot;</span> +</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160; to_string(<a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size()) +</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>&#160; <span class="stringliteral">&quot;. Number of workloadInfo.m_InputTensorInfos: &quot;</span> + to_string(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size()));</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160; }</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>&#160;</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>&#160; <span class="comment">//The dimensionality of all the windows has to match the dimensionality (not shape) of the output.</span></div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>&#160; std::size_t outputDims = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0].GetNumDimensions();</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w &lt; <a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size(); ++w )</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>&#160; {</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>&#160; <span class="comment">//Checks that the dimensionality of output is same as the split windows.</span></div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>&#160; ViewOrigin <span class="keyword">const</span>&amp; e = <a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>[w];</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>&#160; <span class="keywordflow">if</span> (e.m_Origin.size() != outputDims)</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160; {</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</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;: Window origin have to &quot;</span></div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>&#160; <span class="stringliteral">&quot;have the same dimensionality as the output tensor. &quot;</span></div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>&#160; <span class="stringliteral">&quot;Window origin (index: &quot;</span> +</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>&#160; to_string(w) + <span class="stringliteral">&quot;) has &quot;</span> + to_string(e.m_Origin.size()) +</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>&#160; <span class="stringliteral">&quot; dimensions, the output &quot;</span></div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>&#160; <span class="stringliteral">&quot;tensor has &quot;</span> +</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>&#160; to_string(outputDims) + <span class="stringliteral">&quot; dimensions.&quot;</span>);</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>&#160; }</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>&#160; <span class="comment">//Checks that the merge windows are within the output tensor.</span></div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; e.m_Origin.size(); ++i)</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>&#160; {</div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>&#160; <span class="keywordflow">if</span> (e.m_Origin[i] + workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[w].GetShape()[i]</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>&#160; &gt; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0].GetShape()[i])</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>&#160; {</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</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;: Window extent coordinates have to &quot;</span></div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>&#160; <span class="stringliteral">&quot;be smaller or equal than the size of the output in that coord.&quot;</span>);</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>&#160; }</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>&#160; }</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>&#160; }</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>&#160;</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>&#160; <span class="comment">// Check the supported data types</span></div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>&#160; {</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>&#160; };</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>&#160;</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i = 0ul; 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="l00855"></a><span class="lineno"> 855</span>&#160; {</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i];</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>&#160; ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>&#160;</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>&#160; <span class="keyword">const</span> std::string inputName = <span class="stringliteral">&quot;input_&quot;</span> + std::to_string(i);</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>&#160; ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, inputName, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>&#160; }</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>&#160;}</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; OriginsDescriptor &gt;::m_Parameters</a></div><div class="ttdeci">OriginsDescriptor 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="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</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="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div>
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<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_concat_queue_descriptor_html_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector&lt; ViewOrigin &gt; m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00115">WorkloadData.hpp:115</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_origins_descriptor_html_a379929e3b277f1ef94f3ce645870589d"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a379929e3b277f1ef94f3ce645870589d">armnn::OriginsDescriptor::GetConcatAxis</a></div><div class="ttdeci">unsigned int GetConcatAxis() const</div><div class="ttdoc">Get the concatenation axis value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00154">Descriptors.cpp:154</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>
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<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00031">WorkloadData.hpp:31</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00030">WorkloadData.hpp:30</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ab1794eb3e74c9700cd3d500fc06dc2e5">&#9670;&nbsp;</a></span>m_ViewOrigins</h2>
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<td class="memname">std::vector&lt;<a class="el" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">ViewOrigin</a>&gt; m_ViewOrigins</td>
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<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.html#l00115">115</a> of file <a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_workload_data_validation_8cpp_source.html#l00237">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_concat_test_impl_8cpp_source.html#l01916">ConcatDifferentInputOutputQParamTest()</a>, <a class="el" href="_concatenate_8cpp_source.html#l00014">armnn::Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.html#l00272">Concatenate()</a>, <a class="el" href="_concat_test_impl_8cpp_source.html#l02072">ConcatTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.html#l02628">ConcatUint16Test()</a>, <a class="el" href="_concat_test_impl_8cpp_source.html#l02345">ConcatUint8DifferentQParamsTest()</a>, <a class="el" href="_concat_test_impl_8cpp_source.html#l02490">ConcatUint8Test()</a>, and <a class="el" href="_concat_layer_8cpp_source.html#l00022">ConcatLayer::CreateWorkload()</a>.</p>
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<hr/>The documentation for this struct was generated from the following files:<ul>
<li>src/backends/backendsCommon/<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>
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