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+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="classarmnn_1_1_neon_batch_normalization_workload-members.xhtml">List of all members</a>  </div>
+  <div class="headertitle">
+<div class="title">NeonBatchNormalizationWorkload Class Reference</div>  </div>
+</div><!--header-->
+<div class="contents">
+
+<p><code>#include &lt;<a class="el" href="_neon_batch_normalization_workload_8hpp_source.xhtml">NeonBatchNormalizationWorkload.hpp</a>&gt;</code></p>
+<div class="dynheader">
+Inheritance diagram for NeonBatchNormalizationWorkload:</div>
+<div class="dyncontent">
+ <div class="center">
+  <img src="classarmnn_1_1_neon_batch_normalization_workload.png" usemap="#NeonBatchNormalizationWorkload_map" alt=""/>
+  <map id="NeonBatchNormalizationWorkload_map" name="NeonBatchNormalizationWorkload_map">
+<area href="classarmnn_1_1_base_workload.xhtml" alt="BaseWorkload&lt; BatchNormalizationQueueDescriptor &gt;" shape="rect" coords="0,56,322,80"/>
+<area href="classarmnn_1_1_i_workload.xhtml" title="Workload interface to enqueue a layer computation. " alt="IWorkload" shape="rect" coords="0,0,322,24"/>
+</map>
+ </div></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a8044a4d50d30c30e405ab785946bef12"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.xhtml#a8044a4d50d30c30e405ab785946bef12">NeonBatchNormalizationWorkload</a> (const <a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</td></tr>
+<tr class="separator:a8044a4d50d30c30e405ab785946bef12"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae071e8822437c78baea75c3aef3a263a"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a> () const override</td></tr>
+<tr class="separator:ae071e8822437c78baea75c3aef3a263a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classarmnn_1_1_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_base_workload')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload&lt; BatchNormalizationQueueDescriptor &gt;</a></td></tr>
+<tr class="memitem:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#af2ef420610280dc5a661cd3d4836d5a2">BaseWorkload</a> (const <a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</a> &amp;descriptor, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &amp;info)</td></tr>
+<tr class="separator:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#a81627f96ba06d76e147f7d392a8117ed">PostAllocationConfigure</a> () override</td></tr>
+<tr class="separator:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a965cf380c7adf547d0f14b3f6d1da249 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#a965cf380c7adf547d0f14b3f6d1da249">GetData</a> () const</td></tr>
+<tr class="separator:a965cf380c7adf547d0f14b3f6d1da249 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a29c2c6dd77c6fe10674fc6876751cbce inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">profiling::ProfilingGuid</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#a29c2c6dd77c6fe10674fc6876751cbce">GetGuid</a> () const final</td></tr>
+<tr class="separator:a29c2c6dd77c6fe10674fc6876751cbce inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classarmnn_1_1_i_workload"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_workload')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a></td></tr>
+<tr class="memitem:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#a69c83c02ae8de866bc7a46c49e69c1ba">~IWorkload</a> ()</td></tr>
+<tr class="separator:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.xhtml#ab81312bd5e64cbae2803de9f243bdb32">RegisterDebugCallback</a> (const <a class="el" href="namespacearmnn.xhtml#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a> &amp;)</td></tr>
+<tr class="separator:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
+Additional Inherited Members</h2></td></tr>
+<tr class="inherit_header pro_attribs_classarmnn_1_1_base_workload"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_classarmnn_1_1_base_workload')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload&lt; BatchNormalizationQueueDescriptor &gt;</a></td></tr>
+<tr class="memitem:a0a487c549c63319505095b855ea3c195 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a></td></tr>
+<tr class="separator:a0a487c549c63319505095b855ea3c195 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a902044db290170b8467ed4697b7fed24 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1profiling_1_1_profiling_guid.xhtml">profiling::ProfilingGuid</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#a902044db290170b8467ed4697b7fed24">m_Guid</a></td></tr>
+<tr class="separator:a902044db290170b8467ed4697b7fed24 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<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="_neon_batch_normalization_workload_8hpp_source.xhtml#l00026">26</a> of file <a class="el" href="_neon_batch_normalization_workload_8hpp_source.xhtml">NeonBatchNormalizationWorkload.hpp</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a8044a4d50d30c30e405ab785946bef12"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a8044a4d50d30c30e405ab785946bef12">&#9670;&nbsp;</a></span>NeonBatchNormalizationWorkload()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.xhtml">NeonBatchNormalizationWorkload</a> </td>
+          <td>(</td>
+          <td class="paramtype">const <a class="el" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml">BatchNormalizationQueueDescriptor</a> &amp;&#160;</td>
+          <td class="paramname"><em>descriptor</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></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>info</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_neon_batch_normalization_workload_8cpp_source.xhtml#l00050">50</a> of file <a class="el" href="_neon_batch_normalization_workload_8cpp_source.xhtml">NeonBatchNormalizationWorkload.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_workload_8hpp_source.xhtml#l00046">BaseWorkload&lt; BatchNormalizationQueueDescriptor &gt;::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00030">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00031">QueueDescriptor::m_Outputs</a>, and <a class="el" href="_workload_data_8cpp_source.xhtml#l00461">QueueDescriptor::ValidateInputsOutputs()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    : BaseWorkload&lt;BatchNormalizationQueueDescriptor&gt;(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;{</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">&quot;NeonBatchNormalizationWorkload&quot;</span>, 1, 1);</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    arm_compute::ITensor&amp; input = boost::polymorphic_downcast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])-&gt;GetTensor();</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    arm_compute::ITensor&amp; output = boost::polymorphic_downcast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout = ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    input.info()-&gt;set_data_layout(aclDataLayout);</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    output.info()-&gt;set_data_layout(aclDataLayout);</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    m_Mean = std::make_unique&lt;arm_compute::Tensor&gt;();</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    BuildArmComputeTensor(*m_Mean, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<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="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    m_Variance = std::make_unique&lt;arm_compute::Tensor&gt;();</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    BuildArmComputeTensor(*m_Variance, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<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="l00068"></a><span class="lineno">   68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    m_Gamma = std::make_unique&lt;arm_compute::Tensor&gt;();</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    BuildArmComputeTensor(*m_Gamma, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<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="l00071"></a><span class="lineno">   71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    m_Beta = std::make_unique&lt;arm_compute::Tensor&gt;();</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    BuildArmComputeTensor(*m_Beta, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<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="l00074"></a><span class="lineno">   74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keyword">auto</span> layer = std::make_unique&lt;arm_compute::NEBatchNormalizationLayer&gt;();</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    layer-&gt;configure(&amp;input,</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;                     &amp;output,</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;                     m_Mean.get(),</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                     m_Variance.get(),</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;                     m_Beta.get(),</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                     m_Gamma.get(),</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                     <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">m_Eps</a>);</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    m_Layer.reset(layer.release());</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_Mean, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a40051a7aa82f25df43cc4244de04a7ec">m_Mean</a>);</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_Variance, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#a8cd8696bb773a02714d3fc095794ec54">m_Variance</a>);</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_Gamma, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#afbe59e02a5464703b865ea1ccfff49fd">m_Gamma</a>);</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_Beta, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.xhtml#ad5f8f205ba69eb186688ca1c2aec207c">m_Beta</a>);</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <span class="comment">// Force Compute Library to perform the necessary copying and reshaping, after which</span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    <span class="comment">// delete all the input tensors that will no longer be needed</span></div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    m_Layer-&gt;prepare();</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    FreeUnusedTensors();</div><div class="line"><a name="l00094"></a><span class="lineno">   94</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="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00049">Types.hpp:49</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload&lt; BatchNormalizationQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">const BatchNormalizationQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00046">Workload.hpp:46</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_descriptor_xhtml_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a11c821c7524251004a72ed13c510853c">armnn::BatchNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Value to add to the variance. Used to avoid dividing by zero. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00623">Descriptors.hpp:623</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::BatchNormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00625">Descriptors.hpp:625</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="structarmnn_1_1_queue_descriptor_xhtml_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &amp;descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.xhtml#l00461">WorkloadData.cpp:461</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad9aa8d49d42ada3f757290033af39857"><div class="ttname"><a href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">armnn::InitializeArmComputeTensorData</a></div><div class="ttdeci">void InitializeArmComputeTensorData(arm_compute::Tensor &amp;tensor, const ConstCpuTensorHandle *handle)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.xhtml#l00035">NeonWorkloadUtils.hpp:35</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#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.xhtml#l00031">WorkloadData.hpp:31</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#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.xhtml#l00030">WorkloadData.hpp:30</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 Function Documentation</h2>
+<a id="ae071e8822437c78baea75c3aef3a263a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae071e8822437c78baea75c3aef3a263a">&#9670;&nbsp;</a></span>Execute()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+  <tr>
+  <td class="mlabels-left">
+      <table class="memname">
+        <tr>
+          <td class="memname">void Execute </td>
+          <td>(</td>
+          <td class="paramname"></td><td>)</td>
+          <td> const</td>
+        </tr>
+      </table>
+  </td>
+  <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
+  </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Implements <a class="el" href="classarmnn_1_1_i_workload.xhtml#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_neon_batch_normalization_workload_8cpp_source.xhtml#l00096">96</a> of file <a class="el" href="_neon_batch_normalization_workload_8cpp_source.xhtml">NeonBatchNormalizationWorkload.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_neon_workload_utils_8hpp_source.xhtml#l00017">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>.</p>
+<div class="fragment"><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;{</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <a class="code" href="_neon_workload_utils_8hpp.xhtml#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>(<span class="stringliteral">&quot;NeonBatchNormalizationWorkload_Execute&quot;</span>);</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    m_Layer-&gt;run();</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;}</div><div class="ttc" id="_neon_workload_utils_8hpp_xhtml_a8bf91fd5e5875631bcf6abbcd97fe2f4"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON(name)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.xhtml#l00017">NeonWorkloadUtils.hpp:17</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>src/backends/neon/workloads/<a class="el" href="_neon_batch_normalization_workload_8hpp_source.xhtml">NeonBatchNormalizationWorkload.hpp</a></li>
+<li>src/backends/neon/workloads/<a class="el" href="_neon_batch_normalization_workload_8cpp_source.xhtml">NeonBatchNormalizationWorkload.cpp</a></li>
+</ul>
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+  <ul>
+    <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.xhtml">NeonBatchNormalizationWorkload</a></li>
+    <li class="footer">Generated on Fri Mar 13 2020 16:09:19 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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