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96<div class="title">WorkloadInfo.hpp</div> </div>
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99<a href="_workload_info_8hpp.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>
100<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
101<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
102<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
103<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#pragma once</span></div>
104<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160; </div>
105<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>&gt;</span></div>
106<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160; </div>
107<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
108<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; </div>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
110<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;{</div>
111<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"></span> </div>
112<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment">/// Contains information about TensorInfos of a layer.</span></div>
113<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment">/// This is needed at construction of workloads, but are not stored.</span></div>
114<div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="structarmnn_1_1_workload_info.html"> 16</a></span>&#160;<span class="comment"></span><span class="keyword">struct </span><a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a></div>
115<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;{</div>
116<div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309"> 18</a></span>&#160; std::vector&lt;TensorInfo&gt; <a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>;</div>
117<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd"> 19</a></span>&#160; std::vector&lt;TensorInfo&gt; <a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>;</div>
118<div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="structarmnn_1_1_workload_info.html#ab13844df5477a9ab8f13069e3d8abad6"> 20</a></span>&#160; std::string <a class="code" href="structarmnn_1_1_workload_info.html#ab13844df5477a9ab8f13069e3d8abad6">m_Name</a>;</div>
119<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structarmnn_1_1_workload_info.html#afd0d41a1e6de4c1565b7f4bfd04b4abc"> 21</a></span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;TensorInfo&gt;</a> <a class="code" href="structarmnn_1_1_workload_info.html#afd0d41a1e6de4c1565b7f4bfd04b4abc">m_WeightsTensorInfo</a> = <a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>();</div>
120<div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="structarmnn_1_1_workload_info.html#a00c11ec4cda30e66fb6b6c25b3e4541b"> 22</a></span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;TensorInfo&gt;</a> <a class="code" href="structarmnn_1_1_workload_info.html#a00c11ec4cda30e66fb6b6c25b3e4541b">m_BiasTensorInfo</a> = <a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>();</div>
121<div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="structarmnn_1_1_workload_info.html#ab236e9e1e9749f12ac8a28e7311b72ea"> 23</a></span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&gt;</a> <a class="code" href="structarmnn_1_1_workload_info.html#ab236e9e1e9749f12ac8a28e7311b72ea">m_ConvolutionMethod</a> = <a class="code" href="structarmnn_1_1_empty_optional.html">EmptyOptional</a>();</div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;};</div>
123<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; </div>
124<div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_memory_info.html"> 26</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_memory_info.html">MemoryInfo</a></div>
125<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;{</div>
126<div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="structarmnn_1_1_memory_info.html#add7faa7aeccf7aafc41972c3b0a8baa2"> 28</a></span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="structarmnn_1_1_memory_info.html#add7faa7aeccf7aafc41972c3b0a8baa2">m_OutputSlotIndex</a>;</div>
127<div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="structarmnn_1_1_memory_info.html#a4b9e2e2b5358e3996f35175558709e1c"> 29</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="structarmnn_1_1_memory_info.html#a4b9e2e2b5358e3996f35175558709e1c">m_Size</a>{ 0 };</div>
128<div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="structarmnn_1_1_memory_info.html#a84b04a7eb9cb29c23dac4fe55eb1d78c"> 30</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="structarmnn_1_1_memory_info.html#a84b04a7eb9cb29c23dac4fe55eb1d78c">m_Alignment</a>{ 64 };</div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;};</div>
130<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; </div>
131<div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="structarmnn_1_1_memory_requirements.html"> 33</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1_memory_requirements.html">MemoryRequirements</a></div>
132<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;{</div>
133<div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="structarmnn_1_1_memory_requirements.html#a35195fd10bb12128c81da2689a125bbd"> 35</a></span>&#160; <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional&lt;std::vector&lt;MemoryInfo&gt;</a>&gt; <a class="code" href="structarmnn_1_1_memory_requirements.html#a35195fd10bb12128c81da2689a125bbd">m_IntraLayerTensors</a>;</div>
134<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;};</div>
135<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; </div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;} <span class="comment">//namespace armnn</span></div>
137</div><!-- fragment --></div><!-- contents -->
138</div><!-- doc-content -->
139<div class="ttc" id="astructarmnn_1_1_workload_info_html_ab13844df5477a9ab8f13069e3d8abad6"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#ab13844df5477a9ab8f13069e3d8abad6">armnn::WorkloadInfo::m_Name</a></div><div class="ttdeci">std::string m_Name</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00020">WorkloadInfo.hpp:20</a></div></div>
140<div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div>
141<div class="ttc" id="astructarmnn_1_1_memory_info_html_a84b04a7eb9cb29c23dac4fe55eb1d78c"><div class="ttname"><a href="structarmnn_1_1_memory_info.html#a84b04a7eb9cb29c23dac4fe55eb1d78c">armnn::MemoryInfo::m_Alignment</a></div><div class="ttdeci">size_t m_Alignment</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00030">WorkloadInfo.hpp:30</a></div></div>
142<div class="ttc" id="astructarmnn_1_1_memory_info_html_add7faa7aeccf7aafc41972c3b0a8baa2"><div class="ttname"><a href="structarmnn_1_1_memory_info.html#add7faa7aeccf7aafc41972c3b0a8baa2">armnn::MemoryInfo::m_OutputSlotIndex</a></div><div class="ttdeci">unsigned int m_OutputSlotIndex</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00028">WorkloadInfo.hpp:28</a></div></div>
143<div class="ttc" id="astructarmnn_1_1_memory_requirements_html_a35195fd10bb12128c81da2689a125bbd"><div class="ttname"><a href="structarmnn_1_1_memory_requirements.html#a35195fd10bb12128c81da2689a125bbd">armnn::MemoryRequirements::m_IntraLayerTensors</a></div><div class="ttdeci">armnn::Optional&lt; std::vector&lt; MemoryInfo &gt; &gt; m_IntraLayerTensors</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00035">WorkloadInfo.hpp:35</a></div></div>
144<div class="ttc" id="astructarmnn_1_1_memory_requirements_html"><div class="ttname"><a href="structarmnn_1_1_memory_requirements.html">armnn::MemoryRequirements</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00033">WorkloadInfo.hpp:33</a></div></div>
145<div class="ttc" id="astructarmnn_1_1_workload_info_html_ab236e9e1e9749f12ac8a28e7311b72ea"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#ab236e9e1e9749f12ac8a28e7311b72ea">armnn::WorkloadInfo::m_ConvolutionMethod</a></div><div class="ttdeci">Optional&lt; std::string &gt; m_ConvolutionMethod</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00023">WorkloadInfo.hpp:23</a></div></div>
146<div class="ttc" id="astructarmnn_1_1_workload_info_html_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00019">WorkloadInfo.hpp:19</a></div></div>
147<div class="ttc" id="astructarmnn_1_1_workload_info_html_afd0d41a1e6de4c1565b7f4bfd04b4abc"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#afd0d41a1e6de4c1565b7f4bfd04b4abc">armnn::WorkloadInfo::m_WeightsTensorInfo</a></div><div class="ttdeci">Optional&lt; TensorInfo &gt; m_WeightsTensorInfo</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00021">WorkloadInfo.hpp:21</a></div></div>
148<div class="ttc" id="astructarmnn_1_1_workload_info_html_a00c11ec4cda30e66fb6b6c25b3e4541b"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#a00c11ec4cda30e66fb6b6c25b3e4541b">armnn::WorkloadInfo::m_BiasTensorInfo</a></div><div class="ttdeci">Optional&lt; TensorInfo &gt; m_BiasTensorInfo</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00022">WorkloadInfo.hpp:22</a></div></div>
149<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>
150<div class="ttc" id="astructarmnn_1_1_empty_optional_html"><div class="ttname"><a href="structarmnn_1_1_empty_optional.html">armnn::EmptyOptional</a></div><div class="ttdoc">EmptyOptional is used to initialize the Optional class in case we want to have default value for an O...</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00032">Optional.hpp:32</a></div></div>
151<div class="ttc" id="astructarmnn_1_1_memory_info_html"><div class="ttname"><a href="structarmnn_1_1_memory_info.html">armnn::MemoryInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00026">WorkloadInfo.hpp:26</a></div></div>
152<div class="ttc" id="astructarmnn_1_1_memory_info_html_a4b9e2e2b5358e3996f35175558709e1c"><div class="ttname"><a href="structarmnn_1_1_memory_info.html#a4b9e2e2b5358e3996f35175558709e1c">armnn::MemoryInfo::m_Size</a></div><div class="ttdeci">size_t m_Size</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00029">WorkloadInfo.hpp:29</a></div></div>
153<div class="ttc" id="a_tensor_8hpp_html"><div class="ttname"><a href="_tensor_8hpp.html">Tensor.hpp</a></div></div>
154<div class="ttc" id="astructarmnn_1_1_workload_info_html_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00018">WorkloadInfo.hpp:18</a></div></div>
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