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diff --git a/latest/_tile_8cpp_source.html b/latest/_tile_8cpp_source.html new file mode 100644 index 0000000000..59d69d61b2 --- /dev/null +++ b/latest/_tile_8cpp_source.html @@ -0,0 +1,234 @@ +<!-- 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/Tile.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">23.08</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('_tile_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">Tile.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_tile_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="_tile_8hpp.html">Tile.hpp</a>"</span></div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_encoders_8hpp.html">Encoders.hpp</a>"</span></div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <numeric></span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</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="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_logging_8hpp.html">armnn/Logging.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">// Converts a flatten index into a multi-dimensional coordinate.</span></div> +<div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a536bd930213ea3fd689fc28c8589fc4a"> 16</a></span> std::vector<uint32_t> <a class="code" href="namespacearmnn.html#a536bd930213ea3fd689fc28c8589fc4a">IndexToCoordinates</a>(std::vector<uint32_t>& shape, uint32_t index)</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>  std::vector<uint32_t> coordinates;</div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="comment">// Iterating through dimensions starting from the last dimension to the first</span></div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keywordflow">for</span> (std::size_t i = shape.size() - 1; i < shape.size(); --i)</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="comment">// Coordinate is found by getting the index and modulus it by the current dimension size</span></div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="comment">// shape of dimension = dimension size</span></div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  coordinates.insert(coordinates.begin(), index % shape[i]);</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="comment">// Pass the index to next iteration making index = index / size of the current dimension</span></div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  index = index/shape[i];</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  }</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">return</span> coordinates;</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>  </div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment">// Convert a multidimensional coordinate to a flattened index.</span></div> +<div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a8b5472bb95f8226e5c82b95c1de1dab0"> 32</a></span> uint32_t <a class="code" href="namespacearmnn.html#a8b5472bb95f8226e5c82b95c1de1dab0">CoordinatesToIndex</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& shape, std::vector<uint32_t>& coordinates)</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  uint32_t index = 0;</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  uint32_t base = 1;</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  uint32_t rank = shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">for</span> (uint32_t i = rank; i > 0; --i)</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>  index = index + coordinates[i - 1] * base;</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  base = base * shape[i - 1];</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>  <span class="keywordflow">return</span> index;</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"><a class="line" href="namespacearmnn.html#ae789852d4625b71ca83474fe12c511e8"> 45</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ae789852d4625b71ca83474fe12c511e8">Tile</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a>& params,</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo,</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarmnn_1_1_decoder.html">Decoder<float></a>& inputDecoder,</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarmnn_1_1_encoder.html">Encoder<float></a>& outputEncoder)</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>  <span class="comment">// Input and output will always have same rank</span></div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  uint32_t rank = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</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>  <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="l00054"></a><span class="lineno"> 54</span>  </div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::vector<uint32_t> outputShape(rank);</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < rank; ++i)</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>  outputShape[i] = inputShape[i] * params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>[i];</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>  </div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// If all values of multiples are 1, then return the input</span></div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">if</span> ( std::adjacent_find( params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>.begin(), params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>.end(),</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  std::not_equal_to<>() ) == params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>.end() && params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>[0] == 1)</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>  <span class="keywordflow">for</span> (uint32_t idx = 0; idx < inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); ++idx)</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="keywordtype">float</span> inputValue = inputDecoder.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  ++inputDecoder;</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  outputEncoder.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputValue);</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  ++outputEncoder;</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>  <span class="keywordflow">return</span>;</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>  </div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  std::vector<float> inputData = inputDecoder.<a class="code" href="classarmnn_1_1_decoder.html#aafe0168dd5ece89e7c62e8d83a4e57cd">DecodeTensor</a>(inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::vector<float> outputData;</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">auto</span> outputNumElements = inputData.size() * <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(std::accumulate(begin(params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>),</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  end(params.<a class="code" href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">m_Multiples</a>),</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  1,</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::multiplies<>()));</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  outputData.reserve(outputNumElements);</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>  <span class="keywordflow">for</span> (uint32_t outputIndex = 0; outputIndex < outputNumElements; ++outputIndex)</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>  std::vector<uint32_t> outputCoords = <a class="code" href="namespacearmnn.html#a536bd930213ea3fd689fc28c8589fc4a">IndexToCoordinates</a>(outputShape, outputIndex);</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// Converting output coordinates to input coordinates using modulus</span></div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  std::vector<uint32_t> inputCoordinates;</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  inputCoordinates.reserve(rank);</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < rank; ++i)</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  inputCoordinates.push_back(outputCoords[i] % inputShape[i]);</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>  </div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  uint32_t inputIndex = <a class="code" href="namespacearmnn.html#a8b5472bb95f8226e5c82b95c1de1dab0">CoordinatesToIndex</a>(inputShape, inputCoordinates);</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>  outputEncoder[outputIndex];</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  outputEncoder.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputData[inputIndex]);</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</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>  </div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</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="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="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</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_a536bd930213ea3fd689fc28c8589fc4a"><div class="ttname"><a href="namespacearmnn.html#a536bd930213ea3fd689fc28c8589fc4a">armnn::IndexToCoordinates</a></div><div class="ttdeci">std::vector< uint32_t > IndexToCoordinates(std::vector< uint32_t > &shape, uint32_t index)</div><div class="ttdef"><b>Definition:</b> <a href="_tile_8cpp_source.html#l00016">Tile.cpp:16</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_decoder_html_aafe0168dd5ece89e7c62e8d83a4e57cd"><div class="ttname"><a href="classarmnn_1_1_decoder.html#aafe0168dd5ece89e7c62e8d83a4e57cd">armnn::Decoder::DecodeTensor</a></div><div class="ttdeci">virtual std::vector< float > DecodeTensor(const TensorShape &tensorShape, bool isDepthwise=false)=0</div></div> +<div class="ttc" id="anamespacearmnn_html_ae789852d4625b71ca83474fe12c511e8"><div class="ttname"><a href="namespacearmnn.html#ae789852d4625b71ca83474fe12c511e8">armnn::Tile</a></div><div class="ttdeci">void Tile(const TileDescriptor &params, const TensorInfo &inputInfo, Decoder< float > &inputDecoder, Encoder< float > &outputEncoder)</div><div class="ttdef"><b>Definition:</b> <a href="_tile_8cpp_source.html#l00045">Tile.cpp:45</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_tile_8hpp_html"><div class="ttname"><a href="_tile_8hpp.html">Tile.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a8b5472bb95f8226e5c82b95c1de1dab0"><div class="ttname"><a href="namespacearmnn.html#a8b5472bb95f8226e5c82b95c1de1dab0">armnn::CoordinatesToIndex</a></div><div class="ttdeci">uint32_t CoordinatesToIndex(TensorShape &shape, std::vector< uint32_t > &coordinates)</div><div class="ttdef"><b>Definition:</b> <a href="_tile_8cpp_source.html#l00032">Tile.cpp:32</a></div></div> +<div class="ttc" id="astructarmnn_1_1_tile_descriptor_html_a4e66396e5ed6ede8d87dc75103645def"><div class="ttname"><a href="structarmnn_1_1_tile_descriptor.html#a4e66396e5ed6ede8d87dc75103645def">armnn::TileDescriptor::m_Multiples</a></div><div class="ttdeci">std::vector< uint32_t > m_Multiples</div><div class="ttdoc">The vector to multiply the input shape by.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01635">Descriptors.hpp:1635</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> +<div class="ttc" id="a_encoders_8hpp_html"><div class="ttname"><a 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