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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/_concatenate_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/_concatenate_8cpp_source.xhtml')
-rw-r--r-- | 23.02/_concatenate_8cpp_source.xhtml | 148 |
1 files changed, 120 insertions, 28 deletions
diff --git a/23.02/_concatenate_8cpp_source.xhtml b/23.02/_concatenate_8cpp_source.xhtml index 2e8253dc3f..16e9262dd8 100644 --- a/23.02/_concatenate_8cpp_source.xhtml +++ b/23.02/_concatenate_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/backends/reference/workloads/Concatenate.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('_concatenate_8cpp_source.xhtml','');}); +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_concatenate_8cpp_source.xhtml',''); initResizable(); }); +/* @license-end */ </script> <div id="doc-content"> <!-- window showing the filter options --> @@ -98,33 +101,122 @@ $(document).ready(function(){initNavTree('_concatenate_8cpp_source.xhtml','');}) <div class="title">Concatenate.cpp</div> </div> </div><!--header--> <div class="contents"> -<a href="_concatenate_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 Arm Ltd. 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="_concatenate_8hpp.xhtml">Concatenate.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_decoders_8hpp.xhtml">Decoders.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_encoders_8hpp.xhtml">Encoders.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> {</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aa58cffc192978865f4fc8d3b39f62460"> 14</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#aa58cffc192978865f4fc8d3b39f62460">Concatenate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> &data,</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  std::vector<ITensorHandle*> inputs,</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  std::vector<ITensorHandle*> outputs)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputInfo0 = <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputInfo0, outputs[0]->Map());</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <a class="code" href="classarmnn_1_1_encoder.xhtml">Encoder<float></a>& encoder = *encoderPtr;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0 ; index < outputInfo0.GetNumElements(); ++index)</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> indices[<a class="code" href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">MaxNumOfTensorDimensions</a>] = { 0 };</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> indexRemainder = index;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimensionStride = outputInfo0.GetNumElements();</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputInfo0.GetNumDimensions(); i++)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  dimensionStride /= outputInfo0.GetShape()[i];</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  indices[i] = indexRemainder / dimensionStride; <span class="comment">// Use integer division to round down.</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  indexRemainder -= indices[i] * dimensionStride;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  }</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> viewIdx = 0; viewIdx < data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size(); ++viewIdx)</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> <span class="keyword">const</span>& view = data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>[viewIdx];</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>  <span class="comment">//Split view extents are defined by the size of (the corresponding) input tensor.</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& inputInfo = <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[viewIdx]);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == outputInfo0.GetNumDimensions());</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>  <span class="comment">// Check all dimensions to see if this element is inside the given input view.</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">bool</span> insideView = <span class="keyword">true</span>;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">if</span> (indices[i] < view.<a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i])</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  insideView = <span class="keyword">false</span>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">if</span> (indices[i] >= view.<a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i] + inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i])</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  insideView = <span class="keyword">false</span>;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">if</span> (insideView)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  std::unique_ptr<Decoder<float>> decoderPtr =</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  MakeDecoder<float>(inputInfo,inputs[viewIdx]->Map());</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder<float></a>& decoder = *decoderPtr;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inIndex = 0;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimensionStride = 1;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = inputInfo.GetNumDimensions(); i-- > 0;)</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>  inIndex += dimensionStride * (indices[i] - view.<a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i]);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  dimensionStride *= inputInfo.GetShape()[i];</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  decoder += inIndex;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  encoder.Set(decoder.Get());</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">//What should we do if input views overlap on the output tensor?</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">//We could error, take the average, or shm else...</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">//For now just stop after finding first view (input) that matches.</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">break</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"> 80</span>  }</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  ++encoder;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</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> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml_af2f0a8c9eb32861711c0ce30b7986c44"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml#af2f0a8c9eb32861711c0ce30b7986c44">armnn::ConcatQueueDescriptor::ViewOrigin::m_Origin</a></div><div class="ttdeci">std::vector< unsigned int > m_Origin</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00138">WorkloadData.hpp:138</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_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00132">WorkloadData.hpp:132</a></div></div> -<div class="ttc" id="_ref_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a></div></div> -<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> -<div class="ttc" id="classarmnn_1_1_encoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_encoder.xhtml">armnn::Encoder< float ></a></div></div> -<div class="ttc" id="_concatenate_8hpp_xhtml"><div class="ttname"><a href="_concatenate_8hpp.xhtml">Concatenate.hpp</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="structarmnn_1_1_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00130">WorkloadData.hpp:130</a></div></div> -<div class="ttc" id="_encoders_8hpp_xhtml"><div class="ttname"><a href="_encoders_8hpp.xhtml">Encoders.hpp</a></div></div> -<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector< ViewOrigin > m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00143">WorkloadData.hpp:143</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_aa58cffc192978865f4fc8d3b39f62460"><div class="ttname"><a href="namespacearmnn.xhtml#aa58cffc192978865f4fc8d3b39f62460">armnn::Concatenate</a></div><div class="ttdeci">void Concatenate(const ConcatQueueDescriptor &data, std::vector< ITensorHandle *> inputs, std::vector< ITensorHandle *> outputs)</div><div class="ttdef"><b>Definition:</b> <a href="_concatenate_8cpp_source.xhtml#l00014">Concatenate.cpp:14</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="_decoders_8hpp_xhtml"><div class="ttname"><a href="_decoders_8hpp.xhtml">Decoders.hpp</a></div></div> -<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00195">Tensor.hpp:195</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00031">Types.hpp:31</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_decoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_decoder.xhtml">armnn::Decoder< float ></a></div></div> +<a href="_concatenate_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 Arm Ltd. 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="_concatenate_8hpp.xhtml">Concatenate.hpp</a>"</span></div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a>"</span></div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_decoders_8hpp.xhtml">Decoders.hpp</a>"</span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_encoders_8hpp.xhtml">Encoders.hpp</a>"</span></div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>  </div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> {</div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div> +<div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a83b1d61a12c9e1911c2b6d79c35ef551"> 14</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a83b1d61a12c9e1911c2b6d79c35ef551">Concatenate</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> &data,</div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  std::vector<ITensorHandle*> inputs,</div> +<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  std::vector<ITensorHandle*> outputs)</div> +<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputInfo0 = <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  </div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputInfo0, outputs[0]-><a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> +<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <a class="code" href="classarmnn_1_1_encoder.xhtml">Encoder<float></a>& encoder = *encoderPtr;</div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  </div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0 ; index < outputInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); ++index)</div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  {</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> indices[<a class="code" href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">MaxNumOfTensorDimensions</a>] = { 0 };</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  </div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> indexRemainder = index;</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimensionStride = outputInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  </div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < outputInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  {</div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  dimensionStride /= outputInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  indices[i] = indexRemainder / dimensionStride; <span class="comment">// Use integer division to round down.</span></div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  indexRemainder -= indices[i] * dimensionStride;</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  }</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  </div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> viewIdx = 0; viewIdx < data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size(); ++viewIdx)</div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> <span class="keyword">const</span>& view = data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>[viewIdx];</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>  <span class="comment">//Split view extents are defined by the size of (the corresponding) input tensor.</span></div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& inputInfo = <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[viewIdx]);</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == outputInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</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>  <span class="comment">// Check all dimensions to see if this element is inside the given input view.</span></div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">bool</span> insideView = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">if</span> (indices[i] < view.<a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i])</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  {</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  insideView = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">if</span> (indices[i] >= view.<a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i] + inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i])</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  insideView = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  </div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">if</span> (insideView)</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  std::unique_ptr<Decoder<float>> decoderPtr =</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  MakeDecoder<float>(inputInfo,inputs[viewIdx]-><a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder<float></a>& decoder = *decoderPtr;</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inIndex = 0;</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimensionStride = 1;</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  </div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i-- > 0;)</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>  inIndex += dimensionStride * (indices[i] - view.<a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i]);</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  dimensionStride *= inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  decoder += inIndex;</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  encoder.<a class="code" href="classarmnn_1_1_encoder.xhtml#ae3b62b846a9c239f332830b9e36030eb">Set</a>(decoder.<a class="code" href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">Get</a>());</div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  </div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">//What should we do if input views overlap on the output tensor?</span></div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">//We could error, take the average, or shm else...</span></div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">//For now just stop after finding first view (input) that matches.</span></div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">break</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"> 80</span>  }</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  ++encoder;</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</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>  </div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</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="astructarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00132">WorkloadData.hpp:132</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a83b1d61a12c9e1911c2b6d79c35ef551"><div class="ttname"><a href="namespacearmnn.xhtml#a83b1d61a12c9e1911c2b6d79c35ef551">armnn::Concatenate</a></div><div class="ttdeci">void Concatenate(const ConcatQueueDescriptor &data, std::vector< ITensorHandle * > inputs, std::vector< ITensorHandle * > outputs)</div><div class="ttdef"><b>Definition:</b> <a href="_concatenate_8cpp_source.xhtml#l00014">Concatenate.cpp:14</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</a></div><div class="ttdeci">@ Map</div></div> +<div class="ttc" id="astructarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml_af2f0a8c9eb32861711c0ce30b7986c44"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml#af2f0a8c9eb32861711c0ce30b7986c44">armnn::ConcatQueueDescriptor::ViewOrigin::m_Origin</a></div><div class="ttdeci">std::vector< unsigned int > m_Origin</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00138">WorkloadData.hpp:138</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_encoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_encoder.xhtml">armnn::Encoder< float ></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_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00195">Tensor.hpp:195</a></div></div> +<div class="ttc" id="a_ref_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00196">Tensor.hpp:196</a></div></div> +<div class="ttc" id="a_encoders_8hpp_xhtml"><div class="ttname"><a href="_encoders_8hpp.xhtml">Encoders.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_decoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_decoder.xhtml">armnn::Decoder< float ></a></div></div> +<div class="ttc" id="astructarmnn_1_1_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00130">WorkloadData.hpp:130</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</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="a_concatenate_8hpp_xhtml"><div class="ttname"><a href="_concatenate_8hpp.xhtml">Concatenate.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_encoder_xhtml_ae3b62b846a9c239f332830b9e36030eb"><div class="ttname"><a href="classarmnn_1_1_encoder.xhtml#ae3b62b846a9c239f332830b9e36030eb">armnn::Encoder::Set</a></div><div class="ttdeci">virtual void Set(IType right)=0</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="a_decoders_8hpp_xhtml"><div class="ttname"><a href="_decoders_8hpp.xhtml">Decoders.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_decoder_xhtml_ac729108381e2340bea12877971713ecb"><div class="ttname"><a href="classarmnn_1_1_decoder.xhtml#ac729108381e2340bea12877971713ecb">armnn::Decoder::Get</a></div><div class="ttdeci">virtual IType Get() const =0</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00031">Types.hpp:31</a></div></div> +<div class="ttc" id="astructarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector< ViewOrigin > m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00143">WorkloadData.hpp:143</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 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