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+<div class="title">RefMeanWorkload.cpp</div>  </div>
+</div><!--header-->
+<div class="contents">
+<a href="_ref_mean_workload_8cpp.html">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 © 2019,2021-2023 Arm Ltd and Contributors. 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">#include &quot;<a class="code" href="_ref_mean_workload_8hpp.html">RefMeanWorkload.hpp</a>&quot;</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 &quot;<a class="code" href="_reduce_8hpp.html">Reduce.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160; </div>
+<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_profiling_8hpp.html">Profiling.hpp</a>&quot;</span></div>
+<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160; </div>
+<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
+<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160; </div>
+<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
+<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;{</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"><a class="line" href="classarmnn_1_1_ref_mean_workload.html#a715e729188246a28410b3a5bd125415c">   18</a></span>&#160;<a class="code" href="classarmnn_1_1_ref_mean_workload.html#a715e729188246a28410b3a5bd125415c">RefMeanWorkload::RefMeanWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_queue_descriptor.html">MeanQueueDescriptor</a>&amp; descriptor, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info)</div>
+<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;  :<a class="code" href="classarmnn_1_1_ref_base_workload.html">RefBaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_mean_queue_descriptor.html">MeanQueueDescriptor</a>&gt;(descriptor, <a class="code" href="namespacearmnn.html#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"><a class="line" href="classarmnn_1_1_ref_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">   21</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">RefMeanWorkload::Execute</a>()<span class="keyword"> const</span></div>
+<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;    <a class="code" href="classarmnn_1_1_ref_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<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>, <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>);</div>
+<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;}</div>
+<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160; </div>
+<div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_mean_workload.html#ae1c43d025fc90382d7aff7a500937e2c">   26</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_mean_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefMeanWorkload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a>&amp; executionData)</div>
+<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;{</div>
+<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast&lt;</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>*<span class="keyword">&gt;</span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div>
+<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <a class="code" href="classarmnn_1_1_ref_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-&gt;<a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-&gt;<a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</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; </div>
+<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">RefMeanWorkload::Execute</a>(std::vector&lt;ITensorHandle*&gt; inputs, std::vector&lt;ITensorHandle*&gt; outputs)<span class="keyword"> const</span></div>
+<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keyword"></span>{</div>
+<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <a class="code" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a>(<span class="stringliteral">&quot;RefMeanWorkload_Execute&quot;</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">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]);</div>
+<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</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;    <span class="keyword">auto</span> inputDecoder  = MakeDecoder&lt;float&gt;(inputInfo,  inputs[0]-&gt;<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div>
+<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    <span class="keyword">auto</span> outputEncoder = MakeEncoder&lt;float&gt;(outputInfo, outputs[0]-&gt;<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</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;    <a class="code" href="namespacearmnn.html#ad64b7a275169ba1b1ba2d15679f7e8b1">Reduce</a>(inputInfo,</div>
+<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;           outputInfo,</div>
+<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;           *inputDecoder,</div>
+<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;           *outputEncoder,</div>
+<div class="line"><a name="l00046"></a><span class="lineno">   46</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_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_mean_descriptor.html#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a>,</div>
+<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;           <a class="code" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">armnn::ReduceOperation::Mean</a>);</div>
+<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;}</div>
+<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160; </div>
+<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;} <span class="comment">//namespace armnn</span></div>
+</div><!-- fragment --></div><!-- contents -->
+</div><!-- doc-content -->
+<div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html_ad2b382076f26f48cd44783cfca2e3642"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">armnn::experimental::ExecutionData::m_Data</a></div><div class="ttdeci">void * m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00016">ExecutionData.hpp:16</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_ad64b7a275169ba1b1ba2d15679f7e8b1"><div class="ttname"><a href="namespacearmnn.html#ad64b7a275169ba1b1ba2d15679f7e8b1">armnn::Reduce</a></div><div class="ttdeci">void Reduce(const TensorInfo &amp;inputInfo, const TensorInfo &amp;outputInfo, Decoder&lt; float &gt; &amp;input, Encoder&lt; float &gt; &amp;output, const std::vector&lt; uint32_t &gt; axis, const ReduceOperation reduceOperation)</div><div class="ttdef"><b>Definition:</b> <a href="_reduce_8cpp_source.html#l00070">Reduce.cpp:70</a></div></div>
+<div class="ttc" id="a_profiling_8hpp_html"><div class="ttname"><a href="_profiling_8hpp.html">Profiling.hpp</a></div></div>
+<div class="ttc" id="a_ref_workload_utils_8hpp_html_a06acca4fd832e0fb179604112c0505af"><div class="ttname"><a href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_REF_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="_ref_workload_utils_8hpp_source.html#l00022">RefWorkloadUtils.hpp:22</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d"><div class="ttname"><a href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0a3d6c9ac08ada31c184094bbc67afe00d">armnn::ReduceOperation::Mean</a></div><div class="ttdeci">@ Mean</div></div>
+<div class="ttc" id="astructarmnn_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#l00066">WorkloadData.hpp:66</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_ref_mean_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_mean_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::RefMeanWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_mean_workload_8cpp_source.html#l00021">RefMeanWorkload.cpp:21</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; 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#l00033">RefWorkloadUtils.hpp:33</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="a_ref_mean_workload_8hpp_html"><div class="ttname"><a href="_ref_mean_workload_8hpp.html">RefMeanWorkload.hpp</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_ref_mean_workload_html_a715e729188246a28410b3a5bd125415c"><div class="ttname"><a href="classarmnn_1_1_ref_mean_workload.html#a715e729188246a28410b3a5bd125415c">armnn::RefMeanWorkload::RefMeanWorkload</a></div><div class="ttdeci">RefMeanWorkload(const MeanQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_mean_workload_8cpp_source.html#l00018">RefMeanWorkload.cpp:18</a></div></div>
+<div class="ttc" id="a_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_mean_descriptor_html_a1f0d67b087c491248bd1cde3ff995a95"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.html#a1f0d67b087c491248bd1cde3ff995a95">armnn::MeanDescriptor::m_Axis</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_Axis</div><div class="ttdoc">Values for the dimensions to reduce.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01169">Descriptors.hpp:1169</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; MeanQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">MeanQueueDescriptor 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="a_reduce_8hpp_html"><div class="ttname"><a href="_reduce_8hpp.html">Reduce.hpp</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</a></div><div class="ttdeci">@ Map</div></div>
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+<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">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.html#l00006">01_00_quick_start.dox:6</a></div></div>
+<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">armnn::experimental::WorkingMemDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00018">WorkingMemDescriptor.hpp:18</a></div></div>
+<div class="ttc" id="astructarmnn_1_1_mean_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_mean_queue_descriptor.html">armnn::MeanQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00283">WorkloadData.hpp:283</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_ref_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_ref_base_workload.html">armnn::RefBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_ref_base_workload_8hpp_source.html#l00013">RefBaseWorkload.hpp:13</a></div></div>
+<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::experimental::WorkingMemDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00021">WorkingMemDescriptor.hpp:21</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>
+<div class="ttc" id="aclassarmnn_1_1_ref_mean_workload_html_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_mean_workload.html#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefMeanWorkload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &amp;executionData) override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_mean_workload_8cpp_source.html#l00026">RefMeanWorkload.cpp:26</a></div></div>
+<div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html">armnn::experimental::ExecutionData</a></div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00014">ExecutionData.hpp:14</a></div></div>
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