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<div class="title">ClConvolution2dWorkload.hpp</div> </div>
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<a href="_cl_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> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_cl_base_workload_8hpp.xhtml">ClBaseWorkload.hpp</a>"</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <arm_compute/runtime/CL/functions/CLConvolutionLayer.h></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <arm_compute/runtime/MemoryManagerOnDemand.h></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_i_c_l_tensor_proxy_8hpp.xhtml">cl/ICLTensorProxy.hpp</a>></span></div><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> <span class="preprocessor">#include <memory></span></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="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#a61cf0886d4c1a6e24c101a57ccb2ec31">ClConvolution2dWorkloadValidate</a>(<span class="keyword">const</span> TensorInfo& input,</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> TensorInfo& output,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> Convolution2dDescriptor& descriptor,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">const</span> TensorInfo& weights,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> Optional<TensorInfo>& biases,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> ActivationDescriptor* activationDescriptor = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_convolution2d_workload.xhtml"> 31</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_cl_convolution2d_workload.xhtml">ClConvolution2dWorkload</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_cl_base_workload.xhtml">ClBaseWorkload</a><Convolution2dQueueDescriptor></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#a6390f4b8ab4a76a95b3366cf17224025">ClConvolution2dWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">Convolution2dQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">const</span> arm_compute::CLCompileContext& clCompileContext,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  arm_compute::ConvolutionMethod <a class="code" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#a71044720ef6341c8d11795b5d234c8cd">GetConvolutionMethod</a>() <span class="keyword">const</span>;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#ac145e7f83bc14257d8d4f9941245163f"> 43</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#ac145e7f83bc14257d8d4f9941245163f">SupportsTensorHandleReplacement</a>()<span class="keyword"> const override</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">// NCHW DataLayout on ACL still uses paddding for alignment on the Conv2d workload so importing is unreliable.</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">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_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  }</div><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> </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> <span class="keyword">protected</span>:</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#a459ed0eff27e88c466b9173a6ac77de8">Reconfigure</a>() <span class="keyword">override</span>;</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> <span class="keyword">private</span>:</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">mutable</span> arm_compute::CLConvolutionLayer m_ConvolutionLayer;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  arm_compute::ConvolutionMethod m_ConvolutionMethod;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  std::unique_ptr<ICLTensorProxy> m_InputProxy;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  std::unique_ptr<ICLTensorProxy> m_OutputProxy;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> };</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> } <span class="comment">//namespace armnn</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Convolution2dDescriptor::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#l00549">Descriptors.hpp:549</a></div></div>
<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_convolution2d_workload_xhtml_a459ed0eff27e88c466b9173a6ac77de8"><div class="ttname"><a href="classarmnn_1_1_cl_convolution2d_workload.xhtml#a459ed0eff27e88c466b9173a6ac77de8">armnn::ClConvolution2dWorkload::Reconfigure</a></div><div class="ttdeci">void Reconfigure() override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convolution2d_workload_8cpp_source.xhtml#l00175">ClConvolution2dWorkload.cpp:175</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a61cf0886d4c1a6e24c101a57ccb2ec31"><div class="ttname"><a href="namespacearmnn.xhtml#a61cf0886d4c1a6e24c101a57ccb2ec31">armnn::ClConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClConvolution2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convolution2d_workload_8cpp_source.xhtml#l00023">ClConvolution2dWorkload.cpp:23</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="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00066">WorkloadData.hpp:66</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_convolution2d_workload_xhtml_a71044720ef6341c8d11795b5d234c8cd"><div class="ttname"><a href="classarmnn_1_1_cl_convolution2d_workload.xhtml#a71044720ef6341c8d11795b5d234c8cd">armnn::ClConvolution2dWorkload::GetConvolutionMethod</a></div><div class="ttdeci">arm_compute::ConvolutionMethod GetConvolutionMethod() const</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convolution2d_workload_8cpp_source.xhtml#l00170">ClConvolution2dWorkload.cpp:170</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_convolution2d_workload_xhtml_a6390f4b8ab4a76a95b3366cf17224025"><div class="ttname"><a href="classarmnn_1_1_cl_convolution2d_workload.xhtml#a6390f4b8ab4a76a95b3366cf17224025">armnn::ClConvolution2dWorkload::ClConvolution2dWorkload</a></div><div class="ttdeci">ClConvolution2dWorkload(const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info, std::shared_ptr< arm_compute::MemoryManagerOnDemand > &memoryManager, const arm_compute::CLCompileContext &clCompileContext, const bool isFastMathEnabled=false)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convolution2d_workload_8cpp_source.xhtml#l00081">ClConvolution2dWorkload.cpp:81</a></div></div>
<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< Convolution2dQueueDescriptor >::m_Data</a></div><div class="ttdeci">Convolution2dQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_8hpp_source.xhtml#l00081">Workload.hpp:81</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#l00042">Types.hpp:42</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_cl_base_workload.xhtml">armnn::ClBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_base_workload_8hpp_source.xhtml#l00013">ClBaseWorkload.hpp:13</a></div></div>
<div class="ttc" id="_i_c_l_tensor_proxy_8hpp_xhtml"><div class="ttname"><a href="_i_c_l_tensor_proxy_8hpp.xhtml">ICLTensorProxy.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_convolution2d_workload_xhtml_ac145e7f83bc14257d8d4f9941245163f"><div class="ttname"><a href="classarmnn_1_1_cl_convolution2d_workload.xhtml#ac145e7f83bc14257d8d4f9941245163f">armnn::ClConvolution2dWorkload::SupportsTensorHandleReplacement</a></div><div class="ttdeci">bool SupportsTensorHandleReplacement() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convolution2d_workload_8hpp_source.xhtml#l00043">ClConvolution2dWorkload.hpp:43</a></div></div>
<div class="ttc" id="structarmnn_1_1_convolution2d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_convolution2d_queue_descriptor.xhtml">armnn::Convolution2dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00214">WorkloadData.hpp:214</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="classarmnn_1_1_cl_convolution2d_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::ClConvolution2dWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_convolution2d_workload_8cpp_source.xhtml#l00164">ClConvolution2dWorkload.cpp:164</a></div></div>
<div class="ttc" id="_descriptors_8hpp_xhtml"><div class="ttname"><a href="_descriptors_8hpp.xhtml">Descriptors.hpp</a></div></div>
<div class="ttc" id="_cl_base_workload_8hpp_xhtml"><div class="ttname"><a href="_cl_base_workload_8hpp.xhtml">ClBaseWorkload.hpp</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 TensorInfos of 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>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
<div class="ttc" id="classarmnn_1_1_cl_convolution2d_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_cl_convolution2d_workload.xhtml">armnn::ClConvolution2dWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_convolution2d_workload_8hpp_source.xhtml#l00031">ClConvolution2dWorkload.hpp:31</a></div></div>
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<li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_1ad86c6d39ab715a831555571b9e98a5.xhtml">cl</a></li><li class="navelem"><a class="el" href="dir_2d9c087bc7f49a1d7a25fdc615d2f0c9.xhtml">workloads</a></li><li class="navelem"><a class="el" href="_cl_convolution2d_workload_8hpp.xhtml">ClConvolution2dWorkload.hpp</a></li>
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