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| author | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
| commit | 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (patch) | |
| tree | 0c076149c03ac45c2617f5e02a77b79287ff5a0f /23.11/_reverse_v2_impl_8cpp_source.html | |
| parent | 03c7ff3f6188240baaeaeb405a357a0c58195fec (diff) | |
| download | armnn-6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c.tar.gz | |
Update Doxygen for 23.11
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849
Diffstat (limited to '23.11/_reverse_v2_impl_8cpp_source.html')
| -rw-r--r-- | 23.11/_reverse_v2_impl_8cpp_source.html | 273 |
1 files changed, 273 insertions, 0 deletions
diff --git a/23.11/_reverse_v2_impl_8cpp_source.html b/23.11/_reverse_v2_impl_8cpp_source.html new file mode 100644 index 0000000000..9417f5e79b --- /dev/null +++ b/23.11/_reverse_v2_impl_8cpp_source.html @@ -0,0 +1,273 @@ +<!-- HTML header for doxygen 1.8.17--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<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 1.8.17"/> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>Arm NN: src/backends/reference/workloads/ReverseV2Impl.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></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> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</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="customdoxygen.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> + <td id="projectalign" style="padding-left: 0.9em;"> + <div id="projectname"> +  <span id="projectnumber">23.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- 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'); + $(document).ready(function() { init_search(); }); +}); +/* @license-end */</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_reverse_v2_impl_8cpp_source.html',''); initResizable(); }); +/* @license-end */ +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">ReverseV2Impl.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_reverse_v2_impl_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> +<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 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="_reverse_v2_impl_8hpp.html">ReverseV2Impl.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="_workload_data_8hpp.html">armnn/backends/WorkloadData.hpp</a>></span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.html">armnn/Logging.hpp</a>></span></div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_permute_8hpp.html">armnnUtils/Permute.hpp</a>></span></div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</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="comment">// Get multi-dimensional index for input tensor</span></div> +<div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ae9f7ce777fbcab84555a1e80ab03c13a"> 16</a></span> std::vector<unsigned int> <a class="code" href="namespacearmnn.html#ae9f7ce777fbcab84555a1e80ab03c13a">ReverseGetMultIdx</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx,</div> +<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputRank,</div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  std::vector<unsigned int>& elementNumInner)</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::vector<unsigned int> indexList(inputRank);</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> mIdx = idx;</div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  </div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iDim = 0; iDim < inputRank; ++iDim)</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  {</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  indexList[iDim] = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(mIdx / elementNumInner[iDim]);</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  mIdx %= elementNumInner[iDim];</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>  </div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">return</span> indexList;</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>  </div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment">// Get flattened index for output encoder</span></div> +<div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a8d4ef1958eb8b75e33ff5f9e1682c9a8"> 34</a></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.html#a8d4ef1958eb8b75e33ff5f9e1682c9a8">ReverseGetFlatIdx</a>(<span class="keyword">const</span> std::vector<unsigned int>& idxList,</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputRank,</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  std::vector<unsigned int>& elementNumInner)</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0;</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  </div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iDim = 0; iDim < inputRank; ++iDim)</div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  idx += idxList[iDim] * elementNumInner[iDim];</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</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="keywordflow">return</span> idx;</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>  </div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment">// Relocate the coordinate to the reversed tensor</span></div> +<div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a8a0d9d6566aa1e098f6988b2ee98bf00"> 49</a></span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn.html#a8a0d9d6566aa1e098f6988b2ee98bf00">ReverseRelocateIdx</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx,</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputRank,</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  std::vector<bool>& axisFlag,</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  std::vector<unsigned int>& dimSize,</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  std::vector<unsigned int>& elementNumInner)</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>  <span class="comment">// Get the multidimensional index list for input</span></div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">auto</span> inputIdxList = <a class="code" href="namespacearmnn.html#ae9f7ce777fbcab84555a1e80ab03c13a">ReverseGetMultIdx</a>(idx, inputRank, elementNumInner);</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>  std::vector<unsigned int> outputIdxList(inputRank);</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// Relocate the input index to the output one</span></div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iDim = 0; iDim < inputRank; ++iDim)</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">if</span> (axisFlag[iDim])</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  outputIdxList[iDim] = dimSize[iDim] - inputIdxList[iDim] - 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">else</span></div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  outputIdxList[iDim] = inputIdxList[iDim];</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</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>  </div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// Get the 1-dimensional flattened index for output</span></div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIdx = <a class="code" href="namespacearmnn.html#a8d4ef1958eb8b75e33ff5f9e1682c9a8">ReverseGetFlatIdx</a>(outputIdxList, inputRank, elementNumInner);</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">return</span> outputIdx;</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> }</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  </div> +<div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a8caac207d532c38c3909d40c742d8c3f"> 78</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a8caac207d532c38c3909d40c742d8c3f">ReverseV2</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo,</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& axisInfo,</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <a class="code" href="classarmnn_1_1_decoder.html">Decoder<float></a>& inputDecoder,</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarmnn_1_1_decoder.html">Decoder<int></a>& axisDecoder,</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarmnn_1_1_encoder.html">Encoder<float></a>& outputEncoder)</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axesRank = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(axisInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="comment">// Empty axis and empty tensor case: copy input to output</span></div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">if</span> ((axesRank == 0) || inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() == 0)</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  {</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> idx = 0; idx < inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); idx++)</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>  <span class="keywordtype">float</span> inputValue = inputDecoder.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  inputDecoder += 1;</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  outputEncoder.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputValue);</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  outputEncoder += 1;</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">return</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"> 98</span>  </div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputRank = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  </div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  std::vector<bool> axisFlag(inputRank, <span class="keyword">false</span>);</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  std::vector<unsigned int> dimSize(inputRank, 0);</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  std::vector<int32_t> axis(axesRank, 0);</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">// Decode the axis information</span></div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i < axesRank; i++)</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  axis[i] = axisDecoder.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  axisDecoder += 1;</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  }</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  </div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">// Make sure the axes are positive</span></div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">for</span> (int32_t axisElement: axis)</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  {</div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  axisElement = axisElement < 0 ? axisElement + static_cast<int32_t>(inputRank) : axisElement;</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  axisFlag[<span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(axisElement)] = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  </div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> &inputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  </div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elementNum = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> baseDimSize = 1;</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  </div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  std::vector<unsigned int> elementNumInner;</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  </div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// Get the number of element within the specific dimension</span></div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> iDim = 0; iDim < inputRank; ++iDim) {</div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  dimSize[iDim] = inputShape[iDim];</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  baseDimSize *= dimSize[iDim];</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  elementNumInner.push_back(<span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(elementNum / baseDimSize));</div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  }</div> +<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  </div> +<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// Iterate through all elements</span></div> +<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0; idx < elementNum; ++idx)</div> +<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {</div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordtype">float</span> inputValue = inputDecoder.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  inputDecoder += 1;</div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">auto</span> outputIdx = <a class="code" href="namespacearmnn.html#a8a0d9d6566aa1e098f6988b2ee98bf00">ReverseRelocateIdx</a>(idx, inputRank, axisFlag, dimSize, elementNumInner);</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  outputEncoder[outputIdx];</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  outputEncoder.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputValue);</div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  }</div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span> }</div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  </div> +<div class="line"><a name="l00144"></a><span class="lineno"> 144</span> } <span class="comment">// namespace armnn</span></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="aclassarmnn_1_1_decoder_html"><div class="ttname"><a href="classarmnn_1_1_decoder.html">armnn::Decoder< float ></a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00196">Tensor.hpp:196</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_encoder_html_ae3b62b846a9c239f332830b9e36030eb"><div class="ttname"><a href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">armnn::Encoder::Set</a></div><div class="ttdeci">virtual void Set(IType right)=0</div></div> +<div class="ttc" id="a_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00195">Tensor.hpp:195</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a8caac207d532c38c3909d40c742d8c3f"><div class="ttname"><a href="namespacearmnn.html#a8caac207d532c38c3909d40c742d8c3f">armnn::ReverseV2</a></div><div class="ttdeci">void ReverseV2(const TensorInfo &inputInfo, const TensorInfo &axisInfo, Decoder< float > &inputDecoder, Decoder< int > &axisDecoder, Encoder< float > &outputEncoder)</div><div class="ttdef"><b>Definition:</b> <a href="_reverse_v2_impl_8cpp_source.html#l00078">ReverseV2Impl.cpp:78</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_encoder_html"><div class="ttname"><a href="classarmnn_1_1_encoder.html">armnn::Encoder< float ></a></div></div> +<div class="ttc" id="a_logging_8hpp_html"><div class="ttname"><a href="_logging_8hpp.html">Logging.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a8a0d9d6566aa1e098f6988b2ee98bf00"><div class="ttname"><a href="namespacearmnn.html#a8a0d9d6566aa1e098f6988b2ee98bf00">armnn::ReverseRelocateIdx</a></div><div class="ttdeci">unsigned int ReverseRelocateIdx(unsigned int idx, unsigned int inputRank, std::vector< bool > &axisFlag, std::vector< unsigned int > &dimSize, std::vector< unsigned int > &elementNumInner)</div><div class="ttdef"><b>Definition:</b> <a href="_reverse_v2_impl_8cpp_source.html#l00049">ReverseV2Impl.cpp:49</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ae9f7ce777fbcab84555a1e80ab03c13a"><div class="ttname"><a href="namespacearmnn.html#ae9f7ce777fbcab84555a1e80ab03c13a">armnn::ReverseGetMultIdx</a></div><div class="ttdeci">std::vector< unsigned int > ReverseGetMultIdx(const unsigned int idx, unsigned int inputRank, std::vector< unsigned int > &elementNumInner)</div><div class="ttdef"><b>Definition:</b> <a href="_reverse_v2_impl_8cpp_source.html#l00016">ReverseV2Impl.cpp:16</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a8d4ef1958eb8b75e33ff5f9e1682c9a8"><div class="ttname"><a href="namespacearmnn.html#a8d4ef1958eb8b75e33ff5f9e1682c9a8">armnn::ReverseGetFlatIdx</a></div><div class="ttdeci">unsigned int ReverseGetFlatIdx(const std::vector< unsigned int > &idxList, unsigned int inputRank, std::vector< unsigned int > &elementNumInner)</div><div class="ttdef"><b>Definition:</b> <a href="_reverse_v2_impl_8cpp_source.html#l00034">ReverseV2Impl.cpp:34</a></div></div> +<div class="ttc" id="a_permute_8hpp_html"><div class="ttname"><a href="_permute_8hpp.html">Permute.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_decoder_html_ac729108381e2340bea12877971713ecb"><div class="ttname"><a href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">armnn::Decoder::Get</a></div><div class="ttdeci">virtual IType Get() const =0</div></div> +<div class="ttc" id="a_reverse_v2_impl_8hpp_html"><div class="ttname"><a href="_reverse_v2_impl_8hpp.html">ReverseV2Impl.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00191">Tensor.hpp:191</a></div></div> +<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div> +<!-- 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.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_efae4012d0e357ebeaba7d02491d70e5.html">reference</a></li><li class="navelem"><a class="el" href="dir_d2f3b8e2e64df3181ebe92efcc0a3012.html">workloads</a></li><li class="navelem"><a 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