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author | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
commit | 8efb48a6847c5cd166c561127ae6611150963ce3 (patch) | |
tree | f4262b7e54d26021a54bbc310f46d16a291463e5 /23.05/_ref_elementwise_binary_workload_8cpp_source.xhtml | |
parent | 023fe66a59414a0a7b337c7be5c3c341eb5b55d2 (diff) | |
download | armnn-8efb48a6847c5cd166c561127ae6611150963ce3.tar.gz |
Update Doxygen docu for 23.05
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I0a992286f14fa68fcc6e5eba31ac39fed003cbbe
Diffstat (limited to '23.05/_ref_elementwise_binary_workload_8cpp_source.xhtml')
-rw-r--r-- | 23.05/_ref_elementwise_binary_workload_8cpp_source.xhtml | 283 |
1 files changed, 283 insertions, 0 deletions
diff --git a/23.05/_ref_elementwise_binary_workload_8cpp_source.xhtml b/23.05/_ref_elementwise_binary_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..ae0e556fbb --- /dev/null +++ b/23.05/_ref_elementwise_binary_workload_8cpp_source.xhtml @@ -0,0 +1,283 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://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="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/reference/workloads/RefElementwiseBinaryWorkload.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="stylesheet.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: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">23.05</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('_ref_elementwise_binary_workload_8cpp_source.xhtml',''); 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">RefElementwiseBinaryWorkload.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_ref_elementwise_binary_workload_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> +<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 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="_ref_elementwise_binary_workload_8hpp.xhtml">RefElementwiseBinaryWorkload.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="_decoders_8hpp.xhtml">Decoders.hpp</a>"</span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_elementwise_function_8hpp.xhtml">ElementwiseFunction.hpp</a>"</span></div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_encoders_8hpp.xhtml">Encoders.hpp</a>"</span></div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a>"</span></div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "<a class="code" href="_maximum_8hpp.xhtml">Maximum.hpp</a>"</span></div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "<a class="code" href="_minimum_8hpp.xhtml">Minimum.hpp</a>"</span></div> +<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_profiling_8hpp.xhtml">Profiling.hpp</a>></span></div> +<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div> +<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  </div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <functional></span></div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  </div> +<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  </div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">template</span><<span class="keyword">typename</span> DataType></div> +<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae0a1229cfc1151ff1324c026aa50bb03"> 25</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#ae0a1229cfc1151ff1324c026aa50bb03">ExecuteFunction</a>(std::vector<ITensorHandle*> inputs,</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  std::vector<ITensorHandle*> outputs,</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047">BinaryOperation</a> operation)</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& inputInfo0 = <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]);</div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& inputInfo1 = <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[1]);</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputInfo = <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& inShape0 = inputInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& inShape1 = inputInfo1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& outShape = outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  </div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  std::unique_ptr<Decoder<DataType>> input0 = MakeDecoder<DataType>(inputInfo0, inputs[0]-><a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  std::unique_ptr<Decoder<DataType>> input1 = MakeDecoder<DataType>(inputInfo1, inputs[1]-><a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  std::unique_ptr<Encoder<DataType>> output = MakeEncoder<DataType>(outputInfo, outputs[0]-><a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">Map</a>());</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  </div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">using</span> AddFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.xhtml">ElementwiseBinaryFunction<std::plus<DataType></a>>;</div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">using</span> DivFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.xhtml">ElementwiseBinaryFunction<std::divides<DataType></a>>;</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">using</span> MaximumFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.xhtml">ElementwiseBinaryFunction<armnn::maximum<DataType></a>>;</div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">using</span> MinimumFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.xhtml">ElementwiseBinaryFunction<armnn::minimum<DataType></a>>;</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">using</span> MulFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.xhtml">ElementwiseBinaryFunction<std::multiplies<DataType></a>>;</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">using</span> SubFunction = <a class="code" href="structarmnn_1_1_elementwise_binary_function.xhtml">ElementwiseBinaryFunction<std::minus<DataType></a>>;</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="keywordflow">switch</span> (operation)</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="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>:</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  {</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  AddFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">break</span>;</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="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>:</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  DivFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">break</span>;</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="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">BinaryOperation::Maximum</a>:</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  MaximumFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">break</span>;</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">case</span> <a class="code" href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">BinaryOperation::Minimum</a>:</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>  MinimumFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>:</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>  MulFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">break</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>:</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>  SubFunction(inShape0, inShape1, outShape, *input0, *input1, *output);</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(std::string(<span class="stringliteral">"Unsupported binary operation "</span>) +</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="namespacearmnn.xhtml#aed346b74795fd613f727ca8369778704">GetBinaryOperationAsCString</a>(operation), <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</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>  }</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>  </div> +<div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ad35fcad82380a8e2314bea8aa19cc161"> 88</a></span> <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ad35fcad82380a8e2314bea8aa19cc161">RefElementwiseBinaryWorkload::RefElementwiseBinaryWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_queue_descriptor.xhtml">ElementwiseBinaryQueueDescriptor</a>& desc,</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a>& info)</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  : <a class="code" href="classarmnn_1_1_ref_base_workload.xhtml">RefBaseWorkload</a><<a class="code" href="structarmnn_1_1_elementwise_binary_queue_descriptor.xhtml">ElementwiseBinaryQueueDescriptor</a>>(desc, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</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>  </div> +<div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 93</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefElementwiseBinaryWorkload::Execute</a>()<span class="keyword"> const</span></div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> }</div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  </div> +<div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c"> 98</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseBinaryWorkload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.xhtml">ExecutionData</a>& executionData)</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>  <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast<</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml">WorkingMemDescriptor</a>*<span class="keyword">></span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.xhtml#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> }</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  </div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefElementwiseBinaryWorkload::Execute</a>(std::vector<ITensorHandle*> inputs,</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  std::vector<ITensorHandle*> outputs)<span class="keyword"> const</span></div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="keyword"></span>{</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">Compute::CpuRef</a>, <span class="stringliteral">"RefElementwiseBinaryWorkload_Execute"</span>);</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  </div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]).GetDataType() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>)</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>  ExecuteFunction<int32_t>(inputs, outputs, <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.xhtml#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>);</div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  }</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  {</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  ExecuteFunction<float>(inputs, outputs, <a class="code" href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.xhtml#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>);</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>  </div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> } <span class="comment">// namespace armnn</span></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="anamespacearmnn_xhtml_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00027">RefWorkloadUtils.hpp:27</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_ref_base_workload.xhtml">armnn::RefBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_ref_base_workload_8hpp_source.xhtml#l00013">RefBaseWorkload.hpp:13</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a46f3ea056caa3126b91f3f70beea068c">armnn::LayerType::Map</a></div><div class="ttdeci">@ Map</div></div> +<div class="ttc" id="a_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00203">Exceptions.hpp:203</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac4f8557279754ed7b3f749d55b0e3047"><div class="ttname"><a href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047">armnn::BinaryOperation</a></div><div class="ttdeci">BinaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00137">Types.hpp:137</a></div></div> +<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::experimental::WorkingMemDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.xhtml#l00020">WorkingMemDescriptor.hpp:20</a></div></div> +<div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_xhtml"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.xhtml">armnn::experimental::ExecutionData</a></div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.xhtml#l00014">ExecutionData.hpp:14</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div> +<div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_xhtml_ad2b382076f26f48cd44783cfca2e3642"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.xhtml#ad2b382076f26f48cd44783cfca2e3642">armnn::experimental::ExecutionData::m_Data</a></div><div class="ttdeci">void * m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.xhtml#l00016">ExecutionData.hpp:16</a></div></div> +<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml">armnn::experimental::WorkingMemDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.xhtml#l00018">WorkingMemDescriptor.hpp:18</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_base_workload_xhtml_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload< ElementwiseBinaryQueueDescriptor >::m_Data</a></div><div class="ttdeci">ElementwiseBinaryQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00083">Workload.hpp:83</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="a_elementwise_function_8hpp_xhtml"><div class="ttname"><a href="_elementwise_function_8hpp.xhtml">ElementwiseFunction.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2"><div class="ttname"><a href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::BinaryOperation::Sub</a></div><div class="ttdeci">@ Sub</div></div> +<div class="ttc" id="a_minimum_8hpp_xhtml"><div class="ttname"><a href="_minimum_8hpp.xhtml">Minimum.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="astructarmnn_1_1_elementwise_binary_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_queue_descriptor.xhtml">armnn::ElementwiseBinaryQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00666">WorkloadData.hpp:666</a></div></div> +<div class="ttc" id="a_ref_elementwise_binary_workload_8hpp_xhtml"><div class="ttname"><a href="_ref_elementwise_binary_workload_8hpp.xhtml">RefElementwiseBinaryWorkload.hpp</a></div></div> +<div class="ttc" id="a_maximum_8hpp_xhtml"><div class="ttname"><a href="_maximum_8hpp.xhtml">Maximum.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_elementwise_binary_workload_xhtml_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefElementwiseBinaryWorkload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &executionData) override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_elementwise_binary_workload_8cpp_source.xhtml#l00098">RefElementwiseBinaryWorkload.cpp:98</a></div></div> +<div class="ttc" id="a_ref_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_ref_workload_utils_8hpp.xhtml">RefWorkloadUtils.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2"><div class="ttname"><a href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::BinaryOperation::Mul</a></div><div class="ttdeci">@ Mul</div></div> +<div class="ttc" id="a_profiling_8hpp_xhtml_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.xhtml#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.xhtml#l00220">Profiling.hpp:220</a></div></div> +<div class="ttc" id="a_encoders_8hpp_xhtml"><div class="ttname"><a href="_encoders_8hpp.xhtml">Encoders.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_elementwise_binary_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::RefElementwiseBinaryWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_elementwise_binary_workload_8cpp_source.xhtml#l00093">RefElementwiseBinaryWorkload.cpp:93</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4"><div class="ttname"><a href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047aa1d0ec6d56f8833a078b5a7ac4caf2d4">armnn::BinaryOperation::Minimum</a></div><div class="ttdeci">@ Minimum</div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892"><div class="ttname"><a href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047a8321e79c278ec510f63675c040594892">armnn::BinaryOperation::Maximum</a></div><div class="ttdeci">@ Maximum</div></div> +<div class="ttc" id="astructarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#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.xhtml#l00066">WorkloadData.hpp:66</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9"><div class="ttname"><a href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::BinaryOperation::Add</a></div><div class="ttdeci">@ Add</div></div> +<div class="ttc" id="astructarmnn_1_1_elementwise_binary_descriptor_xhtml_a7e4ece533ef2cb0f251e11c47a17371c"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_descriptor.xhtml#a7e4ece533ef2cb0f251e11c47a17371c">armnn::ElementwiseBinaryDescriptor::m_Operation</a></div><div class="ttdeci">BinaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseBinary operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00125">Descriptors.hpp:125</a></div></div> +<div class="ttc" id="a_decoders_8hpp_xhtml"><div class="ttname"><a href="_decoders_8hpp.xhtml">Decoders.hpp</a></div></div> +<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::experimental::WorkingMemDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.xhtml#l00021">WorkingMemDescriptor.hpp:21</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ae0a1229cfc1151ff1324c026aa50bb03"><div class="ttname"><a href="namespacearmnn.xhtml#ae0a1229cfc1151ff1324c026aa50bb03">armnn::ExecuteFunction</a></div><div class="ttdeci">void ExecuteFunction(std::vector< ITensorHandle * > inputs, std::vector< ITensorHandle * > outputs, BinaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_elementwise_binary_workload_8cpp_source.xhtml#l00025">RefElementwiseBinaryWorkload.cpp:25</a></div></div> +<div class="ttc" id="astructarmnn_1_1_elementwise_binary_function_xhtml"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_function.xhtml">armnn::ElementwiseBinaryFunction</a></div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_function_8hpp_source.xhtml#l00015">ElementwiseFunction.hpp:15</a></div></div> +<div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00027">WorkloadData.hpp:27</a></div></div> +<div class="ttc" id="a_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_ref_elementwise_binary_workload_xhtml_ad35fcad82380a8e2314bea8aa19cc161"><div class="ttname"><a href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ad35fcad82380a8e2314bea8aa19cc161">armnn::RefElementwiseBinaryWorkload::RefElementwiseBinaryWorkload</a></div><div class="ttdeci">RefElementwiseBinaryWorkload(const ElementwiseBinaryQueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_elementwise_binary_workload_8cpp_source.xhtml#l00088">RefElementwiseBinaryWorkload.cpp:88</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a"><div class="ttname"><a href="namespacearmnn.xhtml#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::BinaryOperation::Div</a></div><div class="ttdeci">@ Div</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.xhtml#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdeci">@ CpuRef</div><div class="ttdoc">CPU Execution: Reference C++ kernels.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_aed346b74795fd613f727ca8369778704"><div class="ttname"><a href="namespacearmnn.xhtml#aed346b74795fd613f727ca8369778704">armnn::GetBinaryOperationAsCString</a></div><div class="ttdeci">constexpr char const * GetBinaryOperationAsCString(BinaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00075">TypesUtils.hpp:75</a></div></div> +<div class="ttc" id="astructarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00026">WorkloadData.hpp:26</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div> +<div class="ttc" id="a_profiling_8hpp_xhtml"><div class="ttname"><a href="_profiling_8hpp.xhtml">Profiling.hpp</a></div></div> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_efae4012d0e357ebeaba7d02491d70e5.xhtml">reference</a></li><li class="navelem"><a class="el" href="dir_d2f3b8e2e64df3181ebe92efcc0a3012.xhtml">workloads</a></li><li class="navelem"><a class="el" href="_ref_elementwise_binary_workload_8cpp.xhtml">RefElementwiseBinaryWorkload.cpp</a></li> + <li class="footer">Generated on Thu May 18 2023 10:35:43 for ArmNN 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> |