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<a href="#pub-methods">Public Member Functions</a> &#124;
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<div class="title">FullyConnectedQueueDescriptor 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 FullyConnectedQueueDescriptor:</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_fully_connected_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="memitem:a4cb2ebdad75dcaac215c8a1a3d62f315 inherit pub_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#a4cb2ebdad75dcaac215c8a1a3d62f315">~QueueDescriptor</a> ()=default</td></tr>
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<tr class="memitem:a089f647d882d65f657d7984e5f505f7c 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#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> &amp;tensor, std::string const &amp;descName, unsigned int numDimensions, std::string const &amp;tensorName) const</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#l00180">180</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">
<table class="memname">
<tr>
<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#l01033">1033</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;{</div>
<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;FullyConnectedQueueDescriptor&quot;</span>};</div>
<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160; </div>
<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160; uint32_t numInputs = 2;</div>
<div class="line"><a name="l01038"></a><span class="lineno"> 1038</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_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div>
<div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160; {</div>
<div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160; numInputs = 3;</div>
<div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160; }</div>
<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160; </div>
<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160; ValidateNumInputs(workloadInfo, descriptorName, numInputs);</div>
<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160; ValidateNumOutputs(workloadInfo, descriptorName, 1);</div>
<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160; </div>
<div class="line"><a name="l01046"></a><span class="lineno"> 1046</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>[0];</div>
<div class="line"><a name="l01047"></a><span class="lineno"> 1047</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="l01048"></a><span class="lineno"> 1048</span>&#160; </div>
<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 2, <span class="stringliteral">&quot;output&quot;</span>);</div>
<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160; </div>
<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160; <span class="keywordflow">if</span> (!(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 2 || inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4))</div>
<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160; {</div>
<div class="line"><a name="l01053"></a><span class="lineno"> 1053</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 must have 2 or 4 dimensions.&quot;</span>);</div>
<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160; }</div>
<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>&#160; </div>
<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> weightTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1];</div>
<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(weightTensorInfo, descriptorName, 2, <span class="stringliteral">&quot;weight&quot;</span>);</div>
<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160; </div>
<div class="line"><a name="l01059"></a><span class="lineno"> 1059</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_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div>
<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160; {</div>
<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> biasTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2];</div>
<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160; <span class="comment">// Validates type and quantization values.</span></div>
<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160; ValidateBiasTensorQuantization(biasTensorInfo, weightTensorInfo, descriptorName);</div>
<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>&#160; ValidateTensorDataType(biasTensorInfo, <a class="code" href="namespacearmnn.html#a872803f5667392efc3c8e5607bd453ad">GetBiasDataType</a>(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()), descriptorName, <span class="stringliteral">&quot;bias&quot;</span>);</div>
<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(biasTensorInfo, descriptorName, 1, <span class="stringliteral">&quot;bias&quot;</span>);</div>
<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160; }</div>
<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160; </div>
<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160; <span class="comment">// Check the supported data types</span></div>
<div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div>
<div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160; {</div>
<div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div>
<div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div>
<div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div>
<div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div>
<div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div>
<div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div>
<div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160; };</div>
<div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160; </div>
<div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160; ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div>
<div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160; </div>
<div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160; <span class="comment">// For FullyConnected, we allow to have BFloat16 input with Float32 output for optimization.</span></div>
<div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160; <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>)</div>
<div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160; {</div>
<div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160; <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a> &amp;&amp; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() != <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div>
<div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160; {</div>
<div class="line"><a name="l01086"></a><span class="lineno"> 1086</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;: &quot;</span> + <span class="stringliteral">&quot; Output tensor type must be BFloat16 or Float32 &quot;</span></div>
<div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160; <span class="stringliteral">&quot;for BFloat16 input.&quot;</span>);</div>
<div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160; }</div>
<div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160; }</div>
<div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160; {</div>
<div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160; ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">&quot;input&quot;</span>, <span class="stringliteral">&quot;output&quot;</span>);</div>
<div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160; }</div>
<div class="line"><a name="l01094"></a><span class="lineno"> 1094</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#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_workload_data_8cpp_source.html#l00028">armnn::GetBiasDataType()</a>, <a class="el" href="_tensor_8hpp_source.html#l00200">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00526">FullyConnectedDescriptor::m_BiasEnabled</a>, <a class="el" href="_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</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; FullyConnectedDescriptor &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="_workload_data_8cpp_source.html#l00397">QueueDescriptor::ValidateTensorNumDimensions()</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="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div>
<div class="ttc" id="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="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; FullyConnectedDescriptor &gt;::m_Parameters</a></div><div class="ttdeci">FullyConnectedDescriptor 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="astructarmnn_1_1_fully_connected_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00526">Descriptors.hpp:526</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="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</a></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="anamespacearmnn_html_a872803f5667392efc3c8e5607bd453ad"><div class="ttname"><a href="namespacearmnn.html#a872803f5667392efc3c8e5607bd453ad">armnn::GetBiasDataType</a></div><div class="ttdeci">DataType GetBiasDataType(DataType inputDataType)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00028">WorkloadData.cpp:28</a></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>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a089f647d882d65f657d7984e5f505f7c"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">armnn::QueueDescriptor::ValidateTensorNumDimensions</a></div><div class="ttdeci">void ValidateTensorNumDimensions(const TensorInfo &amp;tensor, std::string const &amp;descName, unsigned int numDimensions, std::string const &amp;tensorName) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00397">WorkloadData.cpp:397</a></div></div>
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