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+<div class="title">NeonTransposeConvolution2dWorkload.hpp</div>  </div>
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+<a href="_neon_transpose_convolution2d_workload_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_8hpp.xhtml">backendsCommon/Workload.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/IFunction.h&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/Tensor.h&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/MemoryManagerOnDemand.h&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/NEON/functions/NEDeconvolutionLayer.h&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;{</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;<a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#abc73c3c9a09f91c22c64d7c166e9be4d">NeonTransposeConvolution2dWorkloadValidate</a>(<span class="keyword">const</span> TensorInfo&amp; input,</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;                                                               <span class="keyword">const</span> TensorInfo&amp; output,</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;                                                               <span class="keyword">const</span> TransposeConvolution2dDescriptor&amp; descriptor,</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;                                                               <span class="keyword">const</span> TensorInfo&amp; weights,</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;                                                               <span class="keyword">const</span> Optional&lt;TensorInfo&gt;&amp; biases);</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml">   27</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml">NeonTransposeConvolution2dWorkload</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload</a>&lt;TransposeConvolution2dQueueDescriptor&gt;</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">public</span>:</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <a class="code" href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml#a58184834e21feb8a03afcb9e53e3b503">NeonTransposeConvolution2dWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.xhtml">TransposeConvolution2dQueueDescriptor</a>&amp; descriptor,</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;                                       <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>&amp; <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;                                       std::shared_ptr&lt;arm_compute::MemoryManagerOnDemand&gt;&amp; memoryManager);</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a>() <span class="keyword">const override</span>;</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;<span class="keyword">private</span>:</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    std::unique_ptr&lt;arm_compute::NEDeconvolutionLayer&gt; m_Layer;</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;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_KernelTensor;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    std::unique_ptr&lt;arm_compute::Tensor&gt; m_BiasTensor;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <span class="keywordtype">void</span> FreeUnusedTensors();</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;};</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_neon_transpose_convolution2d_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml">armnn::NeonTransposeConvolution2dWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_transpose_convolution2d_workload_8hpp_source.xhtml#l00027">NeonTransposeConvolution2dWorkload.hpp:27</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_transpose_convolution2d_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonTransposeConvolution2dWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_transpose_convolution2d_workload_8cpp_source.xhtml#l00097">NeonTransposeConvolution2dWorkload.cpp:97</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_abc73c3c9a09f91c22c64d7c166e9be4d"><div class="ttname"><a href="namespacearmnn.xhtml#abc73c3c9a09f91c22c64d7c166e9be4d">armnn::NeonTransposeConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonTransposeConvolution2dWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const TransposeConvolution2dDescriptor &amp;descriptor, const TensorInfo &amp;weights, const Optional&lt; TensorInfo &gt; &amp;biases)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_transpose_convolution2d_workload_8cpp_source.xhtml#l00026">NeonTransposeConvolution2dWorkload.cpp:26</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
+<div class="ttc" id="classarmnn_1_1_neon_transpose_convolution2d_workload_xhtml_a58184834e21feb8a03afcb9e53e3b503"><div class="ttname"><a href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml#a58184834e21feb8a03afcb9e53e3b503">armnn::NeonTransposeConvolution2dWorkload::NeonTransposeConvolution2dWorkload</a></div><div class="ttdeci">NeonTransposeConvolution2dWorkload(const TransposeConvolution2dQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info, std::shared_ptr&lt; arm_compute::MemoryManagerOnDemand &gt; &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_transpose_convolution2d_workload_8cpp_source.xhtml#l00056">NeonTransposeConvolution2dWorkload.cpp:56</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00028">Workload.hpp:28</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div>
+<div class="ttc" id="structarmnn_1_1_transpose_convolution2d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.xhtml">armnn::TransposeConvolution2dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00494">WorkloadData.hpp:494</a></div></div>
+<div class="ttc" id="_workload_8hpp_xhtml"><div class="ttname"><a href="_workload_8hpp.xhtml">Workload.hpp</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_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
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