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+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="classarmnn_1_1_neon_convert_bf16_to_fp32_workload-members.xhtml">List of all members</a>  </div>
+  <div class="headertitle">
+<div class="title">NeonConvertBf16ToFp32Workload Class Reference</div>  </div>
+</div><!--header-->
+<div class="contents">
+
+<p><code>#include &lt;<a class="el" href="_neon_convert_bf16_to_fp32_workload_8hpp_source.xhtml">NeonConvertBf16ToFp32Workload.hpp</a>&gt;</code></p>
+<div class="dynheader">
+Inheritance diagram for NeonConvertBf16ToFp32Workload:</div>
+<div class="dyncontent">
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+<tr class="separator:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<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; QueueDescriptor &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_queue_descriptor.xhtml">QueueDescriptor</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a></td></tr>
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+<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_convert_bf16_to_fp32_workload_8hpp_source.xhtml#l00015">15</a> of file <a class="el" href="_neon_convert_bf16_to_fp32_workload_8hpp_source.xhtml">NeonConvertBf16ToFp32Workload.hpp</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a3cd589cb8b149a6f13087130d75e640e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3cd589cb8b149a6f13087130d75e640e">&#9670;&nbsp;</a></span>NeonConvertBf16ToFp32Workload()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="classarmnn_1_1_neon_convert_bf16_to_fp32_workload.xhtml">NeonConvertBf16ToFp32Workload</a> </td>
+          <td>(</td>
+          <td class="paramtype">const <a class="el" href="structarmnn_1_1_convert_bf16_to_fp32_queue_descriptor.xhtml">ConvertBf16ToFp32QueueDescriptor</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_convert_bf16_to_fp32_workload_8cpp_source.xhtml#l00017">17</a> of file <a class="el" href="_neon_convert_bf16_to_fp32_workload_8cpp_source.xhtml">NeonConvertBf16ToFp32Workload.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_workload_utils_8hpp_source.xhtml#l00190">armnn::GatherTensorHandlePairs()</a>, <a class="el" href="_workload_8hpp_source.xhtml#l00046">BaseWorkload&lt; QueueDescriptor &gt;::m_Data</a>, and <a class="el" href="_workload_data_8cpp_source.xhtml#l00460">QueueDescriptor::ValidateInputsOutputs()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;     : BFloat16ToFloat32Workload&lt;ConvertBf16ToFp32QueueDescriptor&gt;(descriptor, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;    this-&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#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">&quot;NeonConvertBf16ToFp32Workload&quot;</span>, 1, 1);</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    <a class="code" href="namespacearmnn.xhtml#afb5b53a8b0c01d4f27830bef0f25ca09">GatherTensorHandlePairs</a>(descriptor, m_TensorHandlePairs);</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;}</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::m_Data</a></div><div class="ttdeci">const QueueDescriptor 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_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#l00460">WorkloadData.cpp:460</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="namespacearmnn_xhtml_afb5b53a8b0c01d4f27830bef0f25ca09"><div class="ttname"><a href="namespacearmnn.xhtml#afb5b53a8b0c01d4f27830bef0f25ca09">armnn::GatherTensorHandlePairs</a></div><div class="ttdeci">void GatherTensorHandlePairs(const DescriptorType &amp;descriptor, std::vector&lt; std::pair&lt; SrcTensorHandleType *, DstTensorHandleType *&gt;&gt; &amp;tensorHandlePairs)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8hpp_source.xhtml#l00190">WorkloadUtils.hpp:190</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">
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+<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>
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+<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_convert_bf16_to_fp32_workload_8cpp_source.xhtml#l00025">25</a> of file <a class="el" href="_neon_convert_bf16_to_fp32_workload_8cpp_source.xhtml">NeonConvertBf16ToFp32Workload.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_neon_workload_utils_8hpp_source.xhtml#l00017">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>, <a class="el" href="_floating_point_converter_8cpp_source.xhtml#l00061">FloatingPointConverter::ConvertBFloat16ToFloat32()</a>, and <a class="el" href="_workload_utils_8hpp_source.xhtml#l00047">armnn::CopyTensorContentsGeneric()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;{</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <a class="code" href="_neon_workload_utils_8hpp.xhtml#a8bf91fd5e5875631bcf6abbcd97fe2f4">ARMNN_SCOPED_PROFILING_EVENT_NEON</a>(<span class="stringliteral">&quot;NeonConvertBf16ToFp32Workload_Execute&quot;</span>);</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keyword">auto</span> convertFunc = [](uint8_t* dst, <span class="keyword">const</span> uint8_t* src, <span class="keywordtype">size_t</span> size)</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;        {</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;            <span class="keyword">auto</span> input = <span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">BFloat16</a>*<span class="keyword">&gt;</span>(src);</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;            <span class="keyword">auto</span> output = <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(dst);</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;            <span class="keywordtype">size_t</span> numElements = size/2; <span class="comment">// 2 bytes per Bf16</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;            <a class="code" href="classarmnn_utils_1_1_floating_point_converter.xhtml#af9e9df90cb6319b0406acf9a3bc27667">armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32</a>(input, numElements, output);</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;        };</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>&amp; pair : m_TensorHandlePairs)</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    {</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;        <a class="code" href="namespacearmnn.xhtml#a92c91193007aa49f4732d6dba5397f8d">CopyTensorContentsGeneric</a>(pair.first, pair.second, convertFunc);</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    }</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;}</div><div class="ttc" id="classarmnn_utils_1_1_floating_point_converter_xhtml_af9e9df90cb6319b0406acf9a3bc27667"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.xhtml#af9e9df90cb6319b0406acf9a3bc27667">armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32</a></div><div class="ttdeci">static void ConvertBFloat16ToFloat32(const void *srcBFloat16Buffer, size_t numElements, float *dstFloat32Buffer)</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.xhtml#l00061">FloatingPointConverter.cpp:61</a></div></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 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_a92c91193007aa49f4732d6dba5397f8d"><div class="ttname"><a href="namespacearmnn.xhtml#a92c91193007aa49f4732d6dba5397f8d">armnn::CopyTensorContentsGeneric</a></div><div class="ttdeci">void CopyTensorContentsGeneric(const ITensorHandle *srcTensor, ITensorHandle *dstTensor, CopyFunc copy)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_utils_8hpp_source.xhtml#l00047">WorkloadUtils.hpp:47</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_convert_bf16_to_fp32_workload_8hpp_source.xhtml">NeonConvertBf16ToFp32Workload.hpp</a></li>
+<li>src/backends/neon/workloads/<a class="el" href="_neon_convert_bf16_to_fp32_workload_8cpp_source.xhtml">NeonConvertBf16ToFp32Workload.cpp</a></li>
+</ul>
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+</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="classarmnn_1_1_neon_convert_bf16_to_fp32_workload.xhtml">NeonConvertBf16ToFp32Workload</a></li>
+    <li class="footer">Generated on Thu Nov 26 2020 11:04:31 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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