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+<div class="header">
+ <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> |
+<a href="classarmnn_1_1_ref_transpose_convolution2d_workload-members.html">List of all members</a> </div>
+ <div class="headertitle">
+<div class="title">RefTransposeConvolution2dWorkload Class Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+
+<p><code>#include <<a class="el" href="_ref_transpose_convolution2d_workload_8hpp_source.html">RefTransposeConvolution2dWorkload.hpp</a>></code></p>
+<div class="dynheader">
+Inheritance diagram for RefTransposeConvolution2dWorkload:</div>
+<div class="dyncontent">
+ <div class="center">
+ <img src="classarmnn_1_1_ref_transpose_convolution2d_workload.png" usemap="#RefTransposeConvolution2dWorkload_map" alt=""/>
+ <map id="RefTransposeConvolution2dWorkload_map" name="RefTransposeConvolution2dWorkload_map">
+<area href="classarmnn_1_1_base_workload.html" alt="BaseWorkload< TransposeConvolution2dQueueDescriptor >" shape="rect" coords="0,56,354,80"/>
+<area href="classarmnn_1_1_i_workload.html" title="Workload interface to enqueue a layer computation. " alt="IWorkload" shape="rect" coords="0,0,354,24"/>
+</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:a3f494159e94cbae76f30e739f7fe9889"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html#a3f494159e94cbae76f30e739f7fe9889">RefTransposeConvolution2dWorkload</a> (const <a class="el" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html">TransposeConvolution2dQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &<a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</td></tr>
+<tr class="separator:a3f494159e94cbae76f30e739f7fe9889"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:aa30a2aa515473eeeae5d9ac636602fe6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html#aa30a2aa515473eeeae5d9ac636602fe6">~RefTransposeConvolution2dWorkload</a> ()=default</td></tr>
+<tr class="separator:aa30a2aa515473eeeae5d9ac636602fe6"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a81627f96ba06d76e147f7d392a8117ed"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html#a81627f96ba06d76e147f7d392a8117ed">PostAllocationConfigure</a> () override</td></tr>
+<tr class="separator:a81627f96ba06d76e147f7d392a8117ed"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ae071e8822437c78baea75c3aef3a263a"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a> () const override</td></tr>
+<tr class="separator:ae071e8822437c78baea75c3aef3a263a"><td class="memSeparator" colspan="2"> </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="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_base_workload.html">BaseWorkload< TransposeConvolution2dQueueDescriptor ></a></td></tr>
+<tr class="memitem:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#af2ef420610280dc5a661cd3d4836d5a2">BaseWorkload</a> (const <a class="el" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html">TransposeConvolution2dQueueDescriptor</a> &descriptor, const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &info)</td></tr>
+<tr class="separator:af2ef420610280dc5a661cd3d4836d5a2 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a81627f96ba06d76e147f7d392a8117ed">PostAllocationConfigure</a> () override</td></tr>
+<tr class="separator:a81627f96ba06d76e147f7d392a8117ed inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </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_transpose_convolution2d_queue_descriptor.html">TransposeConvolution2dQueueDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a965cf380c7adf547d0f14b3f6d1da249">GetData</a> () const</td></tr>
+<tr class="separator:a965cf380c7adf547d0f14b3f6d1da249 inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </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.html">profiling::ProfilingGuid</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a29c2c6dd77c6fe10674fc6876751cbce">GetGuid</a> () const final</td></tr>
+<tr class="separator:a29c2c6dd77c6fe10674fc6876751cbce inherit pub_methods_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </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="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_workload.html">IWorkload</a></td></tr>
+<tr class="memitem:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#a69c83c02ae8de866bc7a46c49e69c1ba">~IWorkload</a> ()</td></tr>
+<tr class="separator:a69c83c02ae8de866bc7a46c49e69c1ba inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_workload.html#ab81312bd5e64cbae2803de9f243bdb32">RegisterDebugCallback</a> (const <a class="el" href="namespacearmnn.html#a15f3ad9b5e4e3d46b0a6dda246a7bc28">DebugCallbackFunction</a> &)</td></tr>
+<tr class="separator:ab81312bd5e64cbae2803de9f243bdb32 inherit pub_methods_classarmnn_1_1_i_workload"><td class="memSeparator" colspan="2"> </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="-"/> Protected Attributes inherited from <a class="el" href="classarmnn_1_1_base_workload.html">BaseWorkload< TransposeConvolution2dQueueDescriptor ></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_transpose_convolution2d_queue_descriptor.html">TransposeConvolution2dQueueDescriptor</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a></td></tr>
+<tr class="separator:a0a487c549c63319505095b855ea3c195 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </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.html">profiling::ProfilingGuid</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_base_workload.html#a902044db290170b8467ed4697b7fed24">m_Guid</a></td></tr>
+<tr class="separator:a902044db290170b8467ed4697b7fed24 inherit pro_attribs_classarmnn_1_1_base_workload"><td class="memSeparator" colspan="2"> </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="_ref_transpose_convolution2d_workload_8hpp_source.html#l00017">17</a> of file <a class="el" href="_ref_transpose_convolution2d_workload_8hpp_source.html">RefTransposeConvolution2dWorkload.hpp</a>.</p>
+</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
+<a id="a3f494159e94cbae76f30e739f7fe9889"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3f494159e94cbae76f30e739f7fe9889">◆ </a></span>RefTransposeConvolution2dWorkload()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html">RefTransposeConvolution2dWorkload</a> </td>
+ <td>(</td>
+ <td class="paramtype">const <a class="el" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html">TransposeConvolution2dQueueDescriptor</a> & </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> & </td>
+ <td class="paramname"><em>info</em> </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="_ref_transpose_convolution2d_workload_8cpp_source.html#l00016">16</a> of file <a class="el" href="_ref_transpose_convolution2d_workload_8cpp_source.html">RefTransposeConvolution2dWorkload.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_workload_data_8hpp_source.html#l00502">TransposeConvolution2dQueueDescriptor::m_Bias</a>, <a class="el" href="_descriptors_8hpp_source.html#l01117">TransposeConvolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00501">TransposeConvolution2dQueueDescriptor::m_Weight</a>.</p>
+<div class="fragment"><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  :</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="comment">// set up weights decoder</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  m_Weights = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight));</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> TensorInfo& weightsInfo = m_Weights->GetTensorInfo();</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  m_WeightsDecoder = MakeDecoder<float>(weightsInfo, m_Weights->Map(<span class="keyword">true</span>));</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  m_WeightsShape = weightsInfo.GetShape();</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="comment">// set up biases decoder</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">if</span> (descriptor.m_Parameters.m_BiasEnabled)</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  {</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  m_Biases = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> TensorInfo& biasesInfo = m_Biases->GetTensorInfo();</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  m_BiasesDecoder = MakeDecoder<float>(biasesInfo, m_Biases->Map(<span class="keyword">true</span>));</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  }</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> }</div><div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="aa30a2aa515473eeeae5d9ac636602fe6"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aa30a2aa515473eeeae5d9ac636602fe6">◆ </a></span>~RefTransposeConvolution2dWorkload()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">~<a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.html">RefTransposeConvolution2dWorkload</a> </td>
+ <td>(</td>
+ <td class="paramname"></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">default</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="ae071e8822437c78baea75c3aef3a263a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae071e8822437c78baea75c3aef3a263a">◆ </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="_ref_transpose_convolution2d_workload_8cpp_source.html#l00053">53</a> of file <a class="el" href="_ref_transpose_convolution2d_workload_8cpp_source.html">RefTransposeConvolution2dWorkload.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_profiling_8hpp_source.html#l00170">ARMNN_SCOPED_PROFILING_EVENT</a>, <a class="el" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::CpuRef</a>, <a class="el" href="_workload_8hpp_source.html#l00046">BaseWorkload< TransposeConvolution2dQueueDescriptor >::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.html#l00030">QueueDescriptor::m_Inputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00031">QueueDescriptor::m_Outputs</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters< LayerDescriptor >::m_Parameters</a>, and <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">Compute::CpuRef</a>, <span class="stringliteral">"RefTransposeConvolution2dWorkload_Execute"</span>);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  m_InputDecoder->Reset(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]->Map());</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  m_OutputEncoder->Reset(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0]->Map());</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="namespacearmnn.html#affec174d91f234497dfbceba5e251dee">TransposeConvolution2dImpl</a>(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  m_InputShape,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  *m_InputDecoder,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  m_OutputShape,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  *m_OutputEncoder,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  m_WeightsShape,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  *m_WeightsDecoder,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  m_BiasesDecoder.get());</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> }</div><div class="ttc" id="_profiling_8hpp_html_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00170">Profiling.hpp:170</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#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.html#l00049">WorkloadData.hpp:49</a></div></div>
+<div class="ttc" id="namespacearmnn_html_affec174d91f234497dfbceba5e251dee"><div class="ttname"><a href="namespacearmnn.html#affec174d91f234497dfbceba5e251dee">armnn::TransposeConvolution2dImpl</a></div><div class="ttdeci">void TransposeConvolution2dImpl(const TransposeConvolution2dDescriptor &descriptor, const TensorShape &inputShape, Decoder< float > &inputDecoder, const TensorShape &outputShape, Encoder< float > &outputEncoder, const TensorShape &weightsShape, Decoder< float > &weightsDecoder, Decoder< float > *biasesDecoder)</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_8cpp_source.html#l00015">TransposeConvolution2d.cpp:15</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_workload_html_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload< TransposeConvolution2dQueueDescriptor >::m_Data</a></div><div class="ttdeci">const TransposeConvolution2dQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00046">Workload.hpp:46</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdoc">CPU Execution: Reference C++ kernels. </div></div>
+<div class="ttc" id="structarmnn_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< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00031">WorkloadData.hpp:31</a></div></div>
+<div class="ttc" id="structarmnn_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< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00030">WorkloadData.hpp:30</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a81627f96ba06d76e147f7d392a8117ed"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a81627f96ba06d76e147f7d392a8117ed">◆ </a></span>PostAllocationConfigure()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">void PostAllocationConfigure </td>
+ <td>(</td>
+ <td class="paramname"></td><td>)</td>
+ <td></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#ab8e9559f02bf8e7cdb73741c9da8d991">IWorkload</a>.</p>
+
+<p class="definition">Definition at line <a class="el" href="_ref_transpose_convolution2d_workload_8cpp_source.html#l00036">36</a> of file <a class="el" href="_ref_transpose_convolution2d_workload_8cpp_source.html">RefTransposeConvolution2dWorkload.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, <a class="el" href="_ref_workload_utils_8hpp_source.html#l00025">armnn::GetTensorInfo()</a>, <a class="el" href="_workload_8hpp_source.html#l00046">BaseWorkload< TransposeConvolution2dQueueDescriptor >::m_Data</a>, <a class="el" href="_workload_data_8hpp_source.html#l00030">QueueDescriptor::m_Inputs</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00031">QueueDescriptor::m_Outputs</a>.</p>
+<div class="fragment"><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="comment">// set up input decoder</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">const</span> ITensorHandle* input = <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0];</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">const</span> TensorInfo& inputInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(input);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  m_InputShape = inputInfo.GetShape();</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  m_InputDecoder = MakeDecoder<float>(inputInfo);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">// set up output encoder</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  ITensorHandle* output = <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0];</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">const</span> TensorInfo& outputInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(output);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  m_OutputShape = outputInfo.GetShape();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  m_OutputEncoder = MakeEncoder<float>(outputInfo);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> }</div><div class="ttc" id="classarmnn_1_1_base_workload_html_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload< TransposeConvolution2dQueueDescriptor >::m_Data</a></div><div class="ttdeci">const TransposeConvolution2dQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00046">Workload.hpp:46</a></div></div>
+<div class="ttc" id="structarmnn_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< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00031">WorkloadData.hpp:31</a></div></div>
+<div class="ttc" id="structarmnn_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< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00030">WorkloadData.hpp:30</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a93d269806f34407695dc10f510001c30"><div class="ttname"><a href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers </div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00025">RefWorkloadUtils.hpp:25</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>src/backends/reference/workloads/<a class="el" href="_ref_transpose_convolution2d_workload_8hpp_source.html">RefTransposeConvolution2dWorkload.hpp</a></li>
+<li>src/backends/reference/workloads/<a class="el" href="_ref_transpose_convolution2d_workload_8cpp_source.html">RefTransposeConvolution2dWorkload.cpp</a></li>
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