Gitiles
Code Review Sign In
review.mlplatform.org / ml / armnn / refs/heads/gh-pages / . / 24.02 / _pad_8cpp_source.html
blob: a39a4294e136af9935d2822525c9f2d42d241dfd [file] [log] [blame]
<!-- 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/Pad.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">
&#160;<span id="projectnumber">24.02</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&amp;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&amp;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&amp;dn=gpl-2.0.txt GPL-v2 */
$(document).ready(function(){initNavTree('_pad_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">Pad.cpp</div> </div>
</div><!--header-->
<div class="contents">
<a href="_pad_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>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_pad_8hpp.html">Pad.hpp</a>&quot;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160; </div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_base_iterator_8hpp.html">BaseIterator.hpp</a>&quot;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_decoders_8hpp.html">Decoders.hpp</a>&quot;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_encoders_8hpp.html">Encoders.hpp</a>&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160; </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_utils_8hpp.html">armnnUtils/TensorUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;cmath&gt;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;cstddef&gt;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;functional&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;limits&gt;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#include &lt;cassert&gt;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">namespace</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;{</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; </div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="keywordtype">void</span> FillOutputWithPadValue(<a class="code" href="classarmnn_1_1_encoder.html">armnn::Encoder&lt;float&gt;</a>&amp; outputData,</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> padValue,</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputElements)</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;{</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numOutputElements; ++i)</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; {</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; outputData[i];</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; outputData.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(padValue);</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; }</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;}</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; </div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;} <span class="comment">// anonymous namespace</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; </div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; </div>
<div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a3c62b52d21e28088f040a4b6c2a06022"> 39</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#a3c62b52d21e28088f040a4b6c2a06022">Pad</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo,</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputInfo,</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* inputHandle,</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* outputHandle,</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_queue_descriptor.html">PadQueueDescriptor</a>&amp; data)</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;{</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keyword">auto</span> padList = data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keyword">auto</span> padValue = data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a>;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputElements = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; </div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> outputShape = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <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="l00052"></a><span class="lineno"> 52</span>&#160; </div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputDimensions = inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="preprocessor">#ifndef NDEBUG</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; </div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputDimensions = outputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; assert(numInputDimensions == numOutputDimensions);</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; </div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatches = 0;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels = 0;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = 0;</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = 0;</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; </div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 0;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 0;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 0;</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; </div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keyword">auto</span> inputData = MakeDecoder&lt;float&gt;(inputInfo, inputHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keyword">auto</span> outData = MakeEncoder&lt;float&gt;(outputInfo, outputHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; </div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="comment">// Fill the output tensor with Pad value first</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">if</span> (outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a7c00efeb540198b33b8558c76e5cc2dd">IsQuantized</a>())</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; {</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="comment">// For Quantized types Pad Value should not be quantized with scale and offset of the tensor info</span></div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keyword">auto</span> temporaryInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>(), 1.0f, 0);</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keyword">auto</span> outputData = MakeEncoder&lt;float&gt;(temporaryInfo, outputHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; FillOutputWithPadValue(*outputData, padValue, numOutputElements);</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; }</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; {</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; FillOutputWithPadValue(*outData, padValue, numOutputElements);</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; }</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="classarmnn_1_1_decoder.html">Decoder&lt;float&gt;</a>&amp; input = *inputData;</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="classarmnn_1_1_encoder.html">Encoder&lt;float&gt;</a>&amp; output = *outData;</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; </div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordflow">switch</span>(numInputDimensions) {</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; </div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordflow">case</span> 1:</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; inputWidth = inputShape[0];</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w &lt; inputWidth ; w++)</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; input[w];</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keyword">auto</span> inputValue = input.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keyword">auto</span> outputIndex = w + std::get&lt;0&gt;(padList[0]);</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; output[outputIndex];</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputValue);</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; }</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; </div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordflow">case</span> 2 :</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; inputHeight = inputShape[0];</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; inputWidth = inputShape[1];</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; outputWidth = outputShape[1];</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; </div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> h = 0; h &lt; inputHeight; h++)</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; {</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w &lt; inputWidth ; w++)</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; {</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; input[h * inputWidth + w];</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keyword">auto</span> inputValue = input.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="keyword">auto</span> outputIndex = (h + std::get&lt;0&gt;(padList[0])) * outputWidth + (w + std::get&lt;0&gt;(padList[1]));</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; output[outputIndex];</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputValue);</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; }</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; }</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; </div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordflow">case</span> 3 :</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; inputChannels = inputShape[0];</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; inputHeight = inputShape[1];</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; inputWidth = inputShape[2];</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; outputHeight = outputShape[1];</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; outputWidth = outputShape[2];</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; </div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c = 0; c &lt; inputChannels; c++)</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; {</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> h = 0; h &lt; inputHeight; h++)</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; {</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w &lt; inputWidth ; w++)</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; {</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; input[c * inputHeight * inputWidth + h * inputWidth + w];</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keyword">auto</span> inputValue = input.<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>&#160; <span class="keyword">auto</span> outputIndex = (c + std::get&lt;0&gt;(padList[0])) * outputHeight * outputWidth</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; + (h + std::get&lt;0&gt;(padList[1])) * outputWidth</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; + (w + std::get&lt;0&gt;(padList[2]));</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; output[outputIndex];</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputValue);</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; }</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; }</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; }</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; </div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keywordflow">case</span> 4 :</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; inputBatches = inputShape[0];</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; inputChannels = inputShape[1];</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; inputHeight = inputShape[2];</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; inputWidth = inputShape[3];</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; outputChannels = outputShape[1];</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; outputHeight = outputShape[2];</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; outputWidth = outputShape[3];</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; </div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> b = 0; b &lt; inputBatches; b++)</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; {</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> c = 0; c &lt; inputChannels; c++)</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; {</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> h = 0; h &lt; inputHeight; h++)</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; {</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w &lt; inputWidth ; w++)</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; {</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; input[b * inputChannels * inputHeight * inputWidth</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; + c * inputHeight * inputWidth</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; + h * inputWidth</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; + w];</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="keyword">auto</span> inputValue = input.<a class="code" href="classarmnn_1_1_decoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keyword">auto</span> outputIndex = (b + std::get&lt;0&gt;(padList[0]))</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; * outputChannels * outputHeight * outputWidth</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; + (c + std::get&lt;0&gt;(padList[1])) * outputHeight * outputWidth</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; + (h + std::get&lt;0&gt;(padList[2])) * outputWidth</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; + (w + std::get&lt;0&gt;(padList[3]));</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; output[outputIndex];</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; output.<a class="code" href="classarmnn_1_1_encoder.html#ae3b62b846a9c239f332830b9e36030eb">Set</a>(inputValue);</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; }</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; }</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; }</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; }</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; </div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; default :</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; }</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;}</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; </div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160;} <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&lt; float &gt;</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#l00198">Tensor.hpp:198</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_base_iterator_8hpp_html"><div class="ttname"><a href="_base_iterator_8hpp.html">BaseIterator.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_i_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00016">ITensorHandle.hpp:16</a></div></div>
<div class="ttc" id="a_tensor_utils_8hpp_html"><div class="ttname"><a href="_tensor_utils_8hpp.html">TensorUtils.hpp</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&lt; float &gt;</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</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="aclassarmnn_1_1_tensor_info_html_a7c00efeb540198b33b8558c76e5cc2dd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a7c00efeb540198b33b8558c76e5cc2dd">armnn::TensorInfo::IsQuantized</a></div><div class="ttdeci">bool IsQuantized() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00504">Tensor.cpp:504</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pad_descriptor_html_a410fa919f78af0f0f100bd1594eca4ab"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a410fa919f78af0f0f100bd1594eca4ab">armnn::PadDescriptor::m_PadValue</a></div><div class="ttdeci">float m_PadValue</div><div class="ttdoc">Optional value to use for padding, defaults to 0.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01221">Descriptors.hpp:1221</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</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="anamespacearmnn_html_a3c62b52d21e28088f040a4b6c2a06022"><div class="ttname"><a href="namespacearmnn.html#a3c62b52d21e28088f040a4b6c2a06022">armnn::Pad</a></div><div class="ttdeci">void Pad(const TensorInfo &amp;inputInfo, const TensorInfo &amp;outputInfo, const ITensorHandle *inputHandle, ITensorHandle *outputHandle, const PadQueueDescriptor &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_8cpp_source.html#l00039">Pad.cpp:39</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 &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pad_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00294">WorkloadData.hpp:294</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pad_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding for input dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01218">Descriptors.hpp:1218</a></div></div>
<div class="ttc" id="a_pad_8hpp_html"><div class="ttname"><a href="_pad_8hpp.html">Pad.hpp</a></div></div>
<div class="ttc" id="a_decoders_8hpp_html"><div class="ttname"><a href="_decoders_8hpp.html">Decoders.hpp</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 href="_encoders_8hpp.html">Encoders.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div><div class="ttdoc">Map the tensor data for access.</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 class="el" href="_pad_8cpp.html">Pad.cpp</a></li>
<li class="footer">Generated on Wed Feb 14 2024 16:36:17 for Arm NN by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li>
</ul>
</div>
</body>
</html>