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+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="classarmnn_1_1_neon_multiplication_workload-members.html">List of all members</a>  </div>
+  <div class="headertitle">
+<div class="title">NeonMultiplicationWorkload Class Reference</div>  </div>
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+<div class="contents">
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+<p><code>#include &lt;<a class="el" href="_neon_multiplication_workload_8hpp_source.html">NeonMultiplicationWorkload.hpp</a>&gt;</code></p>
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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="_neon_multiplication_workload_8hpp_source.html#l00023">23</a> of file <a class="el" href="_neon_multiplication_workload_8hpp_source.html">NeonMultiplicationWorkload.hpp</a>.</p>
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+<a id="a2998b0d7211a2e61730c2d7af29268f4"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2998b0d7211a2e61730c2d7af29268f4">&#9670;&nbsp;</a></span>NeonMultiplicationWorkload()</h2>
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+          <td class="memname"><a class="el" href="classarmnn_1_1_neon_multiplication_workload.html">NeonMultiplicationWorkload</a> </td>
+          <td>(</td>
+          <td class="paramtype">const <a class="el" href="structarmnn_1_1_multiplication_queue_descriptor.html">MultiplicationQueueDescriptor</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.html">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_multiplication_workload_8cpp_source.html#l00047">47</a> of file <a class="el" href="_neon_multiplication_workload_8cpp_source.html">NeonMultiplicationWorkload.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    : NeonBaseWorkload&lt;MultiplicationQueueDescriptor&gt;(descriptor, info)</div>
+<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;{</div>
+<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">&quot;NeonMultiplicationWorkload&quot;</span>, 2, 1);</div>
+<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160; </div>
+<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    arm_compute::ITensor&amp; input1 = PolymorphicDowncast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])-&gt;GetTensor();</div>
+<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    arm_compute::ITensor&amp; input2 = PolymorphicDowncast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1])-&gt;GetTensor();</div>
+<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    arm_compute::ITensor&amp; output = PolymorphicDowncast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div>
+<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160; </div>
+<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keyword">auto</span> convertPolicy = (<a class="code" href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetDataType()) ||</div>
+<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                          <a class="code" href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">IsQuantizedType</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[1].GetDataType())) ?</div>
+<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                          arm_compute::ConvertPolicy::SATURATE :</div>
+<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;                          arm_compute::ConvertPolicy::WRAP;</div>
+<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160; </div>
+<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(descriptor);</div>
+<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160; </div>
+<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="comment">// At the time of writing, configure() will fail if a rounding policy other than TO_ZERO is supplied to it,</span></div>
+<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="comment">// when providing a scale of 1.0 for F32 tensors, even though the provided rounding policy appears to be</span></div>
+<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="comment">// ignored for F32 tensors.</span></div>
+<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="keyword">auto</span> layer = std::make_unique&lt;arm_compute::NEPixelWiseMultiplication&gt;();</div>
+<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    layer-&gt;configure(&amp;input1,</div>
+<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;                     &amp;input2,</div>
+<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;                     &amp;output,</div>
+<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;                     1.0f,</div>
+<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;                     convertPolicy,</div>
+<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;                     arm_compute::RoundingPolicy::TO_ZERO,</div>
+<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;                     activationInfo);</div>
+<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    m_PixelWiseMultiplication.reset(layer.release());</div>
+<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;}</div>
+</div><!-- fragment -->
+<p class="reference">References <a class="el" href="_arm_compute_utils_8hpp_source.html#l00103">armnn::ConvertAdditionalInfoToAclActivationLayerInfo()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_types_utils_8hpp_source.html#l00301">armnn::IsQuantizedType()</a>, <a class="el" href="_workload_8hpp_source.html#l00089">BaseWorkload&lt; MultiplicationQueueDescriptor &gt;::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.html#l00026">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00027">QueueDescriptor::m_Outputs</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00446">QueueDescriptor::ValidateInputsOutputs()</a>.</p>
+
+</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.html#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_neon_multiplication_workload_8cpp_source.html#l00078">78</a> of file <a class="el" href="_neon_multiplication_workload_8cpp_source.html">NeonMultiplicationWorkload.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;{</div>
+<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <a class="code" href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>(<span class="stringliteral">&quot;NeonMultiplicationWorkload_Execute&quot;</span>);</div>
+<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    m_PixelWiseMultiplication-&gt;run();</div>
+<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;}</div>
+</div><!-- fragment -->
+<p class="reference">References <a class="el" href="_neon_workload_utils_8hpp_source.html#l00032">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>.</p>
+
+</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_multiplication_workload_8hpp_source.html">NeonMultiplicationWorkload.hpp</a></li>
+<li>src/backends/neon/workloads/<a class="el" href="_neon_multiplication_workload_8cpp_source.html">NeonMultiplicationWorkload.cpp</a></li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#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.html#l00446">WorkloadData.cpp:446</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_abfb0841058a8190d30851f07eca3991f"><div class="ttname"><a href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">armnn::ConvertAdditionalInfoToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &amp;queueDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00103">ArmComputeUtils.hpp:103</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
+<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload&lt; MultiplicationQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">MultiplicationQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad44c007f21af2d0375e3ef9400a1b275"><div class="ttname"><a href="namespacearmnn.html#ad44c007f21af2d0375e3ef9400a1b275">armnn::IsQuantizedType</a></div><div class="ttdeci">constexpr bool IsQuantizedType()</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00301">TypesUtils.hpp:301</a></div></div>
+<div class="ttc" id="a_neon_workload_utils_8hpp_html_a7f97eedf3c9436b110df92c947bbb55d"><div class="ttname"><a href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.html#l00032">NeonWorkloadUtils.hpp:32</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
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