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| author | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
|---|---|---|
| committer | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
| commit | ae050524109f1ce827962665436ef7430f2ac479 (patch) | |
| tree | a087fe0c77570971dd7979f2757426c24e91afc7 /23.02/_detection_post_process_layer_8cpp_source.xhtml | |
| parent | 8d2ca734165a068478df7cffa46185680b05cd20 (diff) | |
| download | armnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz | |
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release.
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
Diffstat (limited to '23.02/_detection_post_process_layer_8cpp_source.xhtml')
| -rw-r--r-- | 23.02/_detection_post_process_layer_8cpp_source.xhtml | 240 |
1 files changed, 174 insertions, 66 deletions
diff --git a/23.02/_detection_post_process_layer_8cpp_source.xhtml b/23.02/_detection_post_process_layer_8cpp_source.xhtml index c08d7d3b70..c9ea73109f 100644 --- a/23.02/_detection_post_process_layer_8cpp_source.xhtml +++ b/23.02/_detection_post_process_layer_8cpp_source.xhtml @@ -8,7 +8,7 @@ <head> <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> <meta http-equiv="X-UA-Compatible" content="IE=9"/> -<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="generator" content="Doxygen 1.8.17"/> <meta name="robots" content="NOINDEX, NOFOLLOW" /> <meta name="viewport" content="width=device-width, initial-scale=1"/> <title>ArmNN: src/armnn/layers/DetectionPostProcessLayer.cpp Source File</title> @@ -19,9 +19,6 @@ <script type="text/javascript" src="resize.js"></script> <script type="text/javascript" src="navtreedata.js"></script> <script type="text/javascript" src="navtree.js"></script> -<script type="text/javascript"> - $(document).ready(initResizable); -</script> <link href="search/search.css" rel="stylesheet" type="text/css"/> <script type="text/javascript" src="search/searchdata.js"></script> <script type="text/javascript" src="search/search.js"></script> @@ -30,7 +27,8 @@ extensions: ["tex2jax.js"], jax: ["input/TeX","output/HTML-CSS"], }); -</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +</script> +<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> <link href="doxygen.css" rel="stylesheet" type="text/css" /> <link href="stylesheet.css" rel="stylesheet" type="text/css"/> </head> @@ -51,18 +49,21 @@ </table> </div> <!-- end header part --> -<!-- Generated by Doxygen 1.8.13 --> +<!-- Generated by Doxygen 1.8.17 --> <script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ </script> <script type="text/javascript" src="menudata.js"></script> <script type="text/javascript" src="menu.js"></script> <script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ $(function() { initMenu('',true,false,'search.php','Search'); $(document).ready(function() { init_search(); }); }); -</script> +/* @license-end */</script> <div id="main-nav"></div> </div><!-- top --> <div id="side-nav" class="ui-resizable side-nav-resizable"> @@ -76,7 +77,9 @@ $(function() { </div> </div> <script type="text/javascript"> -$(document).ready(function(){initNavTree('_detection_post_process_layer_8cpp_source.xhtml','');}); +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_detection_post_process_layer_8cpp_source.xhtml',''); initResizable(); }); +/* @license-end */ </script> <div id="doc-content"> <!-- window showing the filter options --> @@ -98,71 +101,176 @@ $(document).ready(function(){initNavTree('_detection_post_process_layer_8cpp_sou <div class="title">DetectionPostProcessLayer.cpp</div> </div> </div><!--header--> <div class="contents"> -<a href="_detection_post_process_layer_8cpp.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 © 2017-2023 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">#include "<a class="code" href="_detection_post_process_layer_8hpp.xhtml">DetectionPostProcessLayer.hpp</a>"</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="_layer_clone_base_8hpp.xhtml">LayerCloneBase.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.xhtml">armnn/backends/TensorHandle.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">armnn/backends/WorkloadData.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.xhtml">armnn/backends/WorkloadFactory.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</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"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8270bf304cb3fa6af15c99562892b1ff"> 18</a></span> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8270bf304cb3fa6af15c99562892b1ff">DetectionPostProcessLayer::DetectionPostProcessLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>& param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  : <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml">LayerWithParameters</a>(2, 4, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.xhtml#ae76ce23fa9fc18e56448d52b37dd3f32">DetectionPostProcess</a>, param, name)</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</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"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7"> 23</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">DetectionPostProcessLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& factory)<span class="keyword"> const</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword"></span>{</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">DetectionPostProcessQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml#aeb542471c225031a9922db3433f40b56">m_Anchors</a> = <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a>.get();</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">CreateWorkload</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> }</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8d3b0c5e823f04841d74a2647e6a5246"> 32</a></span> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml">DetectionPostProcessLayer</a>* <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8d3b0c5e823f04841d74a2647e6a5246">DetectionPostProcessLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph)<span class="keyword"> const</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword"></span>{</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">auto</span> layer = CloneBase<DetectionPostProcessLayer>(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  layer-><a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> = <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> ? <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> std::move(layer);</div><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> </div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8c8f543d7e9729362c266d12ec169966"> 39</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">DetectionPostProcessLayer::ValidateTensorShapesFromInputs</a>()</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>  <a class="code" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(2, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& outputShape = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</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>  <a class="code" href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// on this level constant data should not be released.</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> != <span class="keyword">nullptr</span>, <span class="stringliteral">"DetectionPostProcessLayer: Anchors data should not be null."</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>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() == 4, <span class="stringliteral">"DetectionPostProcessLayer: The layer should return 4 outputs."</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>  std::vector<TensorShape> inferredShapes = <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  { <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</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>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 4);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes[0].GetDimensionality() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes[1].GetDimensionality() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes[2].GetDimensionality() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes[3].GetDimensionality() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"DetectionPostProcessLayer"</span>);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(1).<a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(),</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  inferredShapes[1],</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="stringliteral">"DetectionPostProcessLayer"</span>, 1);</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>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(2).<a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(),</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  inferredShapes[2],</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="stringliteral">"DetectionPostProcessLayer"</span>, 2);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(3).<a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(),</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  inferredShapes[3],</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="stringliteral">"DetectionPostProcessLayer"</span>, 3);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> }</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#a65ca562c882ad619684445a1402f415a"> 80</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a65ca562c882ad619684445a1402f415a">DetectionPostProcessLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>&)<span class="keyword"> const</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword"></span>{</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> detectedBoxes = <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a> * <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a>;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  std::vector<TensorShape> results;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  results.push_back({ 1, detectedBoxes, 4 });</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  results.push_back({ 1, detectedBoxes });</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  results.push_back({ 1, detectedBoxes });</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  results.push_back({ 1 });</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> results;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a"> 92</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#af978f897fb7e115a901cb7ed95f8e532">Layer::ConstantTensors</a> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">DetectionPostProcessLayer::GetConstantTensorsByRef</a>()</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> {</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// For API stability DO NOT ALTER order and add new members to the end of vector</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">return</span> { <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> };</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> }</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 98</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">DetectionPostProcessLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>& strategy)<span class="keyword"> const</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="keyword"></span>{</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedAnchors(<a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a>);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  std::vector<armnn::ConstTensor> constTensors { {managedAnchors.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), managedAnchors.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()} };</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.xhtml#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), constTensors, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_with_parameters_xhtml_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters< DetectionPostProcessDescriptor >::m_Param</a></div><div class="ttdeci">DetectionPostProcessDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.). </div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00052">LayerWithParameters.hpp:52</a></div></div> -<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div> -<div class="ttc" id="structarmnn_1_1_detection_post_process_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">armnn::DetectionPostProcessQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00234">WorkloadData.hpp:234</a></div></div> -<div class="ttc" id="_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_tensor_handle_8hpp.xhtml">TensorHandle.hpp</a></div></div> -<div class="ttc" id="_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div> -<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_xhtml_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::DetectionPostProcessLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override</div><div class="ttdoc">Makes a workload for the DetectionPostProcess type. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00023">DetectionPostProcessLayer.cpp:23</a></div></div> -<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_xhtml_a8270bf304cb3fa6af15c99562892b1ff"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a8270bf304cb3fa6af15c99562892b1ff">armnn::DetectionPostProcessLayer::DetectionPostProcessLayer</a></div><div class="ttdeci">DetectionPostProcessLayer(const DetectionPostProcessDescriptor &param, const char *name)</div><div class="ttdoc">Constructor to create a DetectionPostProcessLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00018">DetectionPostProcessLayer.cpp:18</a></div></div> -<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml">armnn::DetectionPostProcessLayer</a></div><div class="ttdoc">This layer represents a detection postprocess operator. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8hpp_source.xhtml#l00016">DetectionPostProcessLayer.hpp:16</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_xhtml_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00491">Layer.cpp:491</a></div></div> -<div class="ttc" id="classarmnn_1_1_managed_const_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::ManagedConstTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.xhtml#l00239">TensorHandle.hpp:239</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="classarmnn_1_1_layer_with_parameters_xhtml_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters< DetectionPostProcessDescriptor >::GetParameters</a></div><div class="ttdeci">const DetectionPostProcessDescriptor & GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00019">LayerWithParameters.hpp:19</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div></div> -<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> -<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00206">Layer.hpp:206</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_xhtml_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00322">Layer.hpp:322</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_xhtml_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00422">Layer.cpp:422</a></div></div> -<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_a9ae2c9796692ebeafe19a4d3f09c8ea8"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">armnn::DetectionPostProcessDescriptor::m_MaxClassesPerDetection</a></div><div class="ttdeci">uint32_t m_MaxClassesPerDetection</div><div class="ttdoc">Maximum numbers of classes per detection, used in Fast NMS. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00715">Descriptors.hpp:715</a></div></div> -<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::DetectionPostProcessLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">The model does not specify the output shapes. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00080">DetectionPostProcessLayer.cpp:80</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.xhtml#l00016">IStrategy.hpp:16</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00378">Layer.cpp:378</a></div></div> -<div class="ttc" id="_detection_post_process_layer_8hpp_xhtml"><div class="ttname"><a href="_detection_post_process_layer_8hpp.xhtml">DetectionPostProcessLayer.hpp</a></div></div> -<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml_ae72089bcab60ac175557f4241b16a014"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">armnn::DetectionPostProcessDescriptor::m_MaxDetections</a></div><div class="ttdeci">uint32_t m_MaxDetections</div><div class="ttdoc">Maximum numbers of detections. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00713">Descriptors.hpp:713</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00324">Layer.hpp:324</a></div></div> -<div class="ttc" id="_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_ae76ce23fa9fc18e56448d52b37dd3f32"><div class="ttname"><a href="namespacearmnn.xhtml#ae76ce23fa9fc18e56448d52b37dd3f32">armnn::DetectionPostProcess</a></div><div class="ttdeci">void DetectionPostProcess(const TensorInfo &boxEncodingsInfo, const TensorInfo &scoresInfo, const TensorInfo &anchorsInfo, const TensorInfo &detectionBoxesInfo, const TensorInfo &detectionClassesInfo, const TensorInfo &detectionScoresInfo, const TensorInfo &numDetectionsInfo, const DetectionPostProcessDescriptor &desc, Decoder< float > &boxEncodings, Decoder< float > &scores, Decoder< float > &anchors, float *detectionBoxes, float *detectionClasses, float *detectionScores, float *numDetections)</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_8cpp_source.xhtml#l00140">DetectionPostProcess.cpp:140</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_af978f897fb7e115a901cb7ed95f8e532"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#af978f897fb7e115a901cb7ed95f8e532">armnn::IConnectableLayer::ConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >> ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00124">INetwork.hpp:124</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div></div> -<div class="ttc" id="_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div> -<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div> -<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_xhtml_abe659a5afa7523f5dbc04bcba9b31f1a"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">armnn::DetectionPostProcessLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">ConstantTensors GetConstantTensorsByRef() override</div><div class="ttdoc">Retrieve the handles to the constant values stored by the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00092">DetectionPostProcessLayer.cpp:92</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div> -<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00203">Exceptions.hpp:203</a></div></div> -<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00030">Graph.hpp:30</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_xhtml_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00274">Layer.cpp:274</a></div></div> -<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_xhtml_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">armnn::DetectionPostProcessLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of DetectionPostProcessLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00039">DetectionPostProcessLayer.cpp:39</a></div></div> -<div class="ttc" id="classarmnn_1_1_managed_const_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.xhtml">armnn::ManagedConstTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.xhtml#l00187">TensorHandle.hpp:187</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_with_parameters_xhtml_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters< DetectionPostProcessDescriptor >::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00044">LayerWithParameters.hpp:44</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00326">Layer.hpp:326</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div> -<div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00319">Layer.hpp:319</a></div></div> -<div class="ttc" id="structarmnn_1_1_detection_post_process_queue_descriptor_xhtml_aeb542471c225031a9922db3433f40b56"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml#aeb542471c225031a9922db3433f40b56">armnn::DetectionPostProcessQueueDescriptor::m_Anchors</a></div><div class="ttdeci">const ConstTensorHandle * m_Anchors</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00241">WorkloadData.hpp:241</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_with_parameters_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00014">LayerWithParameters.hpp:14</a></div></div> -<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_xhtml_a8d3b0c5e823f04841d74a2647e6a5246"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a8d3b0c5e823f04841d74a2647e6a5246">armnn::DetectionPostProcessLayer::Clone</a></div><div class="ttdeci">DetectionPostProcessLayer * Clone(Graph &graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00032">DetectionPostProcessLayer.cpp:32</a></div></div> -<div class="ttc" id="classarmnn_1_1_managed_const_tensor_handle_xhtml_a85e02725184184331cc2e3b00642be47"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">armnn::ManagedConstTensorHandle::Map</a></div><div class="ttdeci">const void * Map(bool blocking=true)</div><div class="ttdoc">RAII Managed resource Unmaps MemoryArea once out of scope. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.xhtml#l00196">TensorHandle.hpp:196</a></div></div> -<div class="ttc" id="structarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00681">Descriptors.hpp:681</a></div></div> -<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_xhtml_a6dc8f4e1c0a2109b2a8412251c2cf7b0"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">armnn::DetectionPostProcessLayer::m_Anchors</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_Anchors</div><div class="ttdoc">A unique pointer to store Anchor values. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8hpp_source.xhtml#l00020">DetectionPostProcessLayer.hpp:20</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a13060ebb89d2c21a7a5d897e99cccf72"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01561">WorkloadFactory.cpp:1561</a></div></div> -<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00092">Layer.cpp:92</a></div></div> -<div class="ttc" id="classarmnn_1_1_layer_xhtml_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00423">Layer.hpp:423</a></div></div> -<div class="ttc" id="_layer_clone_base_8hpp_xhtml"><div class="ttname"><a href="_layer_clone_base_8hpp.xhtml">LayerCloneBase.hpp</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">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.xhtml#l00027">RefWorkloadUtils.hpp:27</a></div></div> -<div class="ttc" id="classarmnn_1_1_detection_post_process_layer_xhtml_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::DetectionPostProcessLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const override</div><div class="ttdoc">Apply a visitor to this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00098">DetectionPostProcessLayer.cpp:98</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00466">Types.hpp:466</a></div></div> +<a href="_detection_post_process_layer_8cpp.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 © 2017-2023 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">#include "<a class="code" href="_detection_post_process_layer_8hpp.xhtml">DetectionPostProcessLayer.hpp</a>"</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="_layer_clone_base_8hpp.xhtml">LayerCloneBase.hpp</a>"</span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  </div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.xhtml">armnn/backends/TensorHandle.hpp</a>></span></div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">armnn/backends/WorkloadData.hpp</a>></span></div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.xhtml">armnn/backends/WorkloadFactory.hpp</a>></span></div> +<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div> +<div class="line"><a name="l00016"></a><span class="lineno"> 16</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"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8270bf304cb3fa6af15c99562892b1ff"> 18</a></span> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8270bf304cb3fa6af15c99562892b1ff">DetectionPostProcessLayer::DetectionPostProcessLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml">DetectionPostProcessDescriptor</a>& param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  : <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml">LayerWithParameters</a>(2, 4, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.xhtml#ae76ce23fa9fc18e56448d52b37dd3f32">DetectionPostProcess</a>, param, name)</div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</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"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7"> 23</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">DetectionPostProcessLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& factory)<span class="keyword"> const</span></div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">DetectionPostProcessQueueDescriptor</a> descriptor;</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  descriptor.<a class="code" href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml#aeb542471c225031a9922db3433f40b56">m_Anchors</a> = <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a>.get();</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  </div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">CreateWorkload</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> }</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  </div> +<div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8d3b0c5e823f04841d74a2647e6a5246"> 32</a></span> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml">DetectionPostProcessLayer</a>* <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8d3b0c5e823f04841d74a2647e6a5246">DetectionPostProcessLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph)<span class="keyword"> const</span></div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">auto</span> layer = CloneBase<DetectionPostProcessLayer>(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  layer->m_Anchors = <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> ? <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> : <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> std::move(layer);</div> +<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>  </div> +<div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8c8f543d7e9729362c266d12ec169966"> 39</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">DetectionPostProcessLayer::ValidateTensorShapesFromInputs</a>()</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>  <a class="code" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(2, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  </div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& outputShape = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</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>  <a class="code" href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// on this level constant data should not be released.</span></div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> != <span class="keyword">nullptr</span>, <span class="stringliteral">"DetectionPostProcessLayer: Anchors data should not be null."</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>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() == 4, <span class="stringliteral">"DetectionPostProcessLayer: The layer should return 4 outputs."</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>  std::vector<TensorShape> inferredShapes = <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  { <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9e3eee087babbe637e77f85404b9d761">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a9e3eee087babbe637e77f85404b9d761">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</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>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 4);</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes[0].GetDimensionality() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>);</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes[1].GetDimensionality() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>);</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes[2].GetDimensionality() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>);</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes[3].GetDimensionality() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>);</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  </div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"DetectionPostProcessLayer"</span>);</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  </div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(1).<a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(),</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  inferredShapes[1],</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>,</div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="stringliteral">"DetectionPostProcessLayer"</span>, 1);</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>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(2).<a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(),</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  inferredShapes[2],</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>,</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="stringliteral">"DetectionPostProcessLayer"</span>, 2);</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  </div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(3).<a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>().GetShape(),</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  inferredShapes[3],</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>,</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="stringliteral">"DetectionPostProcessLayer"</span>, 3);</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> }</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  </div> +<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#a65ca562c882ad619684445a1402f415a"> 80</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a65ca562c882ad619684445a1402f415a">DetectionPostProcessLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>&)<span class="keyword"> const</span></div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> detectedBoxes = <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">m_MaxDetections</a> * <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">m_MaxClassesPerDetection</a>;</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  </div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  std::vector<TensorShape> results;</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  results.push_back({ 1, detectedBoxes, 4 });</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  results.push_back({ 1, detectedBoxes });</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  results.push_back({ 1, detectedBoxes });</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  results.push_back({ 1 });</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> results;</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> }</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  </div> +<div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a"> 92</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#af978f897fb7e115a901cb7ed95f8e532">Layer::ConstantTensors</a> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">DetectionPostProcessLayer::GetConstantTensorsByRef</a>()</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> {</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// For API stability DO NOT ALTER order and add new members to the end of vector</span></div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">return</span> { <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> };</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> }</div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  </div> +<div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarmnn_1_1_detection_post_process_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 98</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">DetectionPostProcessLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>& strategy)<span class="keyword"> const</span></div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedAnchors(<a class="code" href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a>);</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  std::vector<armnn::ConstTensor> constTensors { {managedAnchors.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), managedAnchors.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()} };</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.xhtml#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), constTensors, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> }</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  </div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> } <span class="comment">// namespace armnn</span></div> </div><!-- fragment --></div><!-- contents --> </div><!-- doc-content --> +<div class="ttc" id="anamespacearmnn_xhtml_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">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.xhtml#l00027">RefWorkloadUtils.hpp:27</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div><div class="ttdeci">@ Specified</div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00322">Layer.hpp:322</a></div></div> +<div class="ttc" id="a_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00203">Exceptions.hpp:203</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00378">Layer.cpp:378</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_input_slot_xhtml_a9e3eee087babbe637e77f85404b9d761"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a9e3eee087babbe637e77f85404b9d761">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00206">Layer.hpp:206</a></div></div> +<div class="ttc" id="astructarmnn_1_1_detection_post_process_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml">armnn::DetectionPostProcessQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00234">WorkloadData.hpp:234</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.xhtml">armnn::ManagedConstTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.xhtml#l00187">TensorHandle.hpp:187</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::DetectionPostProcessLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00098">DetectionPostProcessLayer.cpp:98</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00014">LayerWithParameters.hpp:14</a></div></div> +<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_ae72089bcab60ac175557f4241b16a014"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#ae72089bcab60ac175557f4241b16a014">armnn::DetectionPostProcessDescriptor::m_MaxDetections</a></div><div class="ttdeci">uint32_t m_MaxDetections</div><div class="ttdoc">Maximum numbers of detections.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00713">Descriptors.hpp:713</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_xhtml_a85e02725184184331cc2e3b00642be47"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">armnn::ManagedConstTensorHandle::Map</a></div><div class="ttdeci">const void * Map(bool blocking=true)</div><div class="ttdoc">RAII Managed resource Unmaps MemoryArea once out of scope.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.xhtml#l00196">TensorHandle.hpp:196</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml_af978f897fb7e115a901cb7ed95f8e532"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#af978f897fb7e115a901cb7ed95f8e532">armnn::IConnectableLayer::ConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >> ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00124">INetwork.hpp:124</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00491">Layer.cpp:491</a></div></div> +<div class="ttc" id="a_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_tensor_handle_8hpp.xhtml">TensorHandle.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div> +<div class="ttc" id="astructarmnn_1_1_detection_post_process_queue_descriptor_xhtml_aeb542471c225031a9922db3433f40b56"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_queue_descriptor.xhtml#aeb542471c225031a9922db3433f40b56">armnn::DetectionPostProcessQueueDescriptor::m_Anchors</a></div><div class="ttdeci">const ConstTensorHandle * m_Anchors</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00241">WorkloadData.hpp:241</a></div></div> +<div class="ttc" id="a_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00274">Layer.cpp:274</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00423">Layer.hpp:423</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00422">Layer.cpp:422</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::ManagedConstTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.xhtml#l00239">TensorHandle.hpp:239</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml">armnn::DetectionPostProcessLayer</a></div><div class="ttdoc">This layer represents a detection postprocess operator.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8hpp_source.xhtml#l00016">DetectionPostProcessLayer.hpp:16</a></div></div> +<div class="ttc" id="anamespacearmnn_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="aclassarmnn_1_1_i_strategy_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.xhtml#l00016">IStrategy.hpp:16</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::DetectionPostProcessLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override</div><div class="ttdoc">Makes a workload for the DetectionPostProcess type.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00023">DetectionPostProcessLayer.cpp:23</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00092">Layer.cpp:92</a></div></div> +<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00681">Descriptors.hpp:681</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="a_detection_post_process_layer_8hpp_xhtml"><div class="ttname"><a href="_detection_post_process_layer_8hpp.xhtml">DetectionPostProcessLayer.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00466">Types.hpp:466</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::DetectionPostProcessLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">The model does not specify the output shapes.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00080">DetectionPostProcessLayer.cpp:80</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml_a6dc8f4e1c0a2109b2a8412251c2cf7b0"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a6dc8f4e1c0a2109b2a8412251c2cf7b0">armnn::DetectionPostProcessLayer::m_Anchors</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_Anchors</div><div class="ttdoc">A unique pointer to store Anchor values.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8hpp_source.xhtml#l00020">DetectionPostProcessLayer.hpp:20</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00326">Layer.hpp:326</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml_a8270bf304cb3fa6af15c99562892b1ff"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a8270bf304cb3fa6af15c99562892b1ff">armnn::DetectionPostProcessLayer::DetectionPostProcessLayer</a></div><div class="ttdeci">DetectionPostProcessLayer(const DetectionPostProcessDescriptor &param, const char *name)</div><div class="ttdoc">Constructor to create a DetectionPostProcessLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00018">DetectionPostProcessLayer.cpp:18</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml_abe659a5afa7523f5dbc04bcba9b31f1a"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">armnn::DetectionPostProcessLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">ConstantTensors GetConstantTensorsByRef() override</div><div class="ttdoc">Retrieve the handles to the constant values stored by the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00092">DetectionPostProcessLayer.cpp:92</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters< DetectionPostProcessDescriptor >::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00044">LayerWithParameters.hpp:44</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ae76ce23fa9fc18e56448d52b37dd3f32"><div class="ttname"><a href="namespacearmnn.xhtml#ae76ce23fa9fc18e56448d52b37dd3f32">armnn::DetectionPostProcess</a></div><div class="ttdeci">void DetectionPostProcess(const TensorInfo &boxEncodingsInfo, const TensorInfo &scoresInfo, const TensorInfo &anchorsInfo, const TensorInfo &detectionBoxesInfo, const TensorInfo &detectionClassesInfo, const TensorInfo &detectionScoresInfo, const TensorInfo &numDetectionsInfo, const DetectionPostProcessDescriptor &desc, Decoder< float > &boxEncodings, Decoder< float > &scores, Decoder< float > &anchors, float *detectionBoxes, float *detectionClasses, float *detectionScores, float *numDetections)</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_8cpp_source.xhtml#l00140">DetectionPostProcess.cpp:140</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml_a8d3b0c5e823f04841d74a2647e6a5246"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a8d3b0c5e823f04841d74a2647e6a5246">armnn::DetectionPostProcessLayer::Clone</a></div><div class="ttdeci">DetectionPostProcessLayer * Clone(Graph &graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00032">DetectionPostProcessLayer.cpp:32</a></div></div> +<div class="ttc" id="a_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div> +<div class="ttc" id="a_layer_clone_base_8hpp_xhtml"><div class="ttname"><a href="_layer_clone_base_8hpp.xhtml">LayerCloneBase.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00324">Layer.hpp:324</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div><div class="ttdeci">@ DetectionPostProcess</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_strategy_xhtml_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div> +<div class="ttc" id="aclassarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00030">Graph.hpp:30</a></div></div> +<div class="ttc" id="a_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_xhtml_a13060ebb89d2c21a7a5d897e99cccf72"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01561">WorkloadFactory.cpp:1561</a></div></div> +<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_xhtml_a9ae2c9796692ebeafe19a4d3f09c8ea8"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.xhtml#a9ae2c9796692ebeafe19a4d3f09c8ea8">armnn::DetectionPostProcessDescriptor::m_MaxClassesPerDetection</a></div><div class="ttdeci">uint32_t m_MaxClassesPerDetection</div><div class="ttdoc">Maximum numbers of classes per detection, used in Fast NMS.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00715">Descriptors.hpp:715</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00319">Layer.hpp:319</a></div></div> +<div class="ttc" id="a_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div> +<div class="ttc" id="a_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters< DetectionPostProcessDescriptor >::GetParameters</a></div><div class="ttdeci">const DetectionPostProcessDescriptor & GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00019">LayerWithParameters.hpp:19</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_xhtml_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters< DetectionPostProcessDescriptor >::m_Param</a></div><div class="ttdeci">DetectionPostProcessDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00052">LayerWithParameters.hpp:52</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_xhtml_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">armnn::DetectionPostProcessLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of DetectionPostProcessLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8cpp_source.xhtml#l00039">DetectionPostProcessLayer.cpp:39</a></div></div> <!-- start footer part --> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="dir_9da6642ce0fd5a8c83524f1b621275be.xhtml">layers</a></li><li class="navelem"><a class="el" href="_detection_post_process_layer_8cpp.xhtml">DetectionPostProcessLayer.cpp</a></li> - <li class="footer">Generated on Fri Feb 24 2023 10:24:24 for ArmNN by + <li class="footer">Generated on Wed Mar 22 2023 15:52:59 for ArmNN by <a href="http://www.doxygen.org/index.html"> - <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> 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