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+<a href="#pub-methods">Public Member Functions</a> &#124;
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+<a href="structarmnn_1_1_batch_normalization_queue_descriptor-members.xhtml">List of all members</a>  </div>
+  <div class="headertitle">
+<div class="title">BatchNormalizationQueueDescriptor Struct Reference</div>  </div>
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+<p><code>#include &lt;<a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>&gt;</code></p>
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+<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00269">269</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
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+<a id="aaa27bfa8baa39d3bc09adab1977a2a76"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aaa27bfa8baa39d3bc09adab1977a2a76">&#9670;&nbsp;</a></span>BatchNormalizationQueueDescriptor()</h2>
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+          <td></td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">inline</span></span>  </td>
+  </tr>
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+<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00271">271</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;        : <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a40051a7aa82f25df43cc4244de04a7ec">m_Mean</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;        , <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a8cd8696bb773a02714d3fc095794ec54">m_Variance</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;        , <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#ad5f8f205ba69eb186688ca1c2aec207c">m_Beta</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;        , <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#afbe59e02a5464703b865ea1ccfff49fd">m_Gamma</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    {</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    }</div><div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_xhtml_afbe59e02a5464703b865ea1ccfff49fd"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#afbe59e02a5464703b865ea1ccfff49fd">armnn::BatchNormalizationQueueDescriptor::m_Gamma</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Gamma</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00282">WorkloadData.hpp:282</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_xhtml_ad5f8f205ba69eb186688ca1c2aec207c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#ad5f8f205ba69eb186688ca1c2aec207c">armnn::BatchNormalizationQueueDescriptor::m_Beta</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Beta</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00281">WorkloadData.hpp:281</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_xhtml_a40051a7aa82f25df43cc4244de04a7ec"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a40051a7aa82f25df43cc4244de04a7ec">armnn::BatchNormalizationQueueDescriptor::m_Mean</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Mean</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00279">WorkloadData.hpp:279</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_xhtml_a8cd8696bb773a02714d3fc095794ec54"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a8cd8696bb773a02714d3fc095794ec54">armnn::BatchNormalizationQueueDescriptor::m_Variance</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Variance</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00280">WorkloadData.hpp:280</a></div></div>
+</div><!-- fragment -->
+</div>
+</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.xhtml">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.xhtml#l01114">1114</a> of file <a class="el" href="_workload_data_8cpp_source.xhtml">WorkloadData.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
+<div class="fragment"><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160;{</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>&#160;    <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;BatchNormalizationQueueDescriptor&quot;</span>};</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160;</div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>&#160;    ValidateNumInputs(workloadInfo,  descriptorName, 1);</div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>&#160;    ValidateNumOutputs(workloadInfo, descriptorName, 1);</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span>&#160;</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputTensorInfo  = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160;</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160;    std::vector&lt;DataType&gt; supportedTypes =</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160;    {</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>&#160;        <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span>&#160;        <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160;        <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span>&#160;        <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160;        <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>&#160;    };</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160;</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>&#160;    ValidateDataTypes(inputTensorInfo,  supportedTypes, descriptorName);</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160;    ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160;</div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</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="l01137"></a><span class="lineno"> 1137</span>&#160;    ValidateTensorShapesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">&quot;input&quot;</span>, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>&#160;</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>&#160;    ValidatePointer(<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a40051a7aa82f25df43cc4244de04a7ec">m_Mean</a>,     descriptorName, <span class="stringliteral">&quot;mean&quot;</span>);</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>&#160;    ValidatePointer(<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a8cd8696bb773a02714d3fc095794ec54">m_Variance</a>, descriptorName, <span class="stringliteral">&quot;variance&quot;</span>);</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160;    ValidatePointer(<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#ad5f8f205ba69eb186688ca1c2aec207c">m_Beta</a>,     descriptorName, <span class="stringliteral">&quot;beta&quot;</span>);</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160;    ValidatePointer(<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#afbe59e02a5464703b865ea1ccfff49fd">m_Gamma</a>,    descriptorName, <span class="stringliteral">&quot;gamma&quot;</span>);</div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>&#160;</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; mean     = <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a40051a7aa82f25df43cc4244de04a7ec">m_Mean</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; variance = <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a8cd8696bb773a02714d3fc095794ec54">m_Variance</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; beta     = <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#ad5f8f205ba69eb186688ca1c2aec207c">m_Beta</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; gamma    = <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#afbe59e02a5464703b865ea1ccfff49fd">m_Gamma</a>-&gt;<a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>&#160;</div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160;    ValidateTensorNumDimensions(mean,     descriptorName, 1, <span class="stringliteral">&quot;mean&quot;</span>);</div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160;    ValidateTensorNumDimensions(variance, descriptorName, 1, <span class="stringliteral">&quot;variance&quot;</span>);</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160;    ValidateTensorNumDimensions(beta,     descriptorName, 1, <span class="stringliteral">&quot;beta&quot;</span>);</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160;    ValidateTensorNumDimensions(gamma,    descriptorName, 1, <span class="stringliteral">&quot;gamma&quot;</span>);</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160;</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160;    ValidateTensorShapesMatch(mean, variance, descriptorName, <span class="stringliteral">&quot;mean&quot;</span>, <span class="stringliteral">&quot;variance&quot;</span>);</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160;    ValidateTensorShapesMatch(mean, beta,     descriptorName, <span class="stringliteral">&quot;mean&quot;</span>, <span class="stringliteral">&quot;beta&quot;</span>);</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>&#160; 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+<div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_xhtml_ad5f8f205ba69eb186688ca1c2aec207c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#ad5f8f205ba69eb186688ca1c2aec207c">armnn::BatchNormalizationQueueDescriptor::m_Beta</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Beta</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00281">WorkloadData.hpp:281</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_xhtml_a40051a7aa82f25df43cc4244de04a7ec"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a40051a7aa82f25df43cc4244de04a7ec">armnn::BatchNormalizationQueueDescriptor::m_Mean</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Mean</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00279">WorkloadData.hpp:279</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_xhtml_a8cd8696bb773a02714d3fc095794ec54"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a8cd8696bb773a02714d3fc095794ec54">armnn::BatchNormalizationQueueDescriptor::m_Variance</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Variance</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00280">WorkloadData.hpp:280</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
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+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
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+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::ConstCpuTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00037">CpuTensorHandle.hpp:37</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<h2 class="groupheader">Member Data Documentation</h2>
+<a id="ad5f8f205ba69eb186688ca1c2aec207c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ad5f8f205ba69eb186688ca1c2aec207c">&#9670;&nbsp;</a></span>m_Beta</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_Beta</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00281">281</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_workload_data_validation_8cpp_source.xhtml#l00022">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_batch_normalization_test_impl_8cpp_source.xhtml#l00587">CompareBatchNormTest()</a>, and <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00021">BatchNormalizationLayer::CreateWorkload()</a>.</p>
+
+</div>
+</div>
+<a id="afbe59e02a5464703b865ea1ccfff49fd"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#afbe59e02a5464703b865ea1ccfff49fd">&#9670;&nbsp;</a></span>m_Gamma</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_Gamma</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00282">282</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_workload_data_validation_8cpp_source.xhtml#l00022">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_batch_normalization_test_impl_8cpp_source.xhtml#l00587">CompareBatchNormTest()</a>, and <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00021">BatchNormalizationLayer::CreateWorkload()</a>.</p>
+
+</div>
+</div>
+<a id="a40051a7aa82f25df43cc4244de04a7ec"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a40051a7aa82f25df43cc4244de04a7ec">&#9670;&nbsp;</a></span>m_Mean</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_Mean</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00279">279</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_workload_data_validation_8cpp_source.xhtml#l00022">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_batch_normalization_test_impl_8cpp_source.xhtml#l00587">CompareBatchNormTest()</a>, and <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00021">BatchNormalizationLayer::CreateWorkload()</a>.</p>
+
+</div>
+</div>
+<a id="a8cd8696bb773a02714d3fc095794ec54"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a8cd8696bb773a02714d3fc095794ec54">&#9670;&nbsp;</a></span>m_Variance</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_Variance</td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00280">280</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_workload_data_validation_8cpp_source.xhtml#l00022">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_batch_normalization_test_impl_8cpp_source.xhtml#l00587">CompareBatchNormTest()</a>, and <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00021">BatchNormalizationLayer::CreateWorkload()</a>.</p>
+
+</div>
+</div>
+<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.xhtml">WorkloadData.hpp</a></li>
+<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8cpp_source.xhtml">WorkloadData.cpp</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
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+  <ul>
+    <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</a></li>
+    <li class="footer">Generated on Fri Mar 13 2020 16:09:17 for ArmNN by
+    <a href="http://www.doxygen.org/index.html">
+    <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
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