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diff --git a/21.02/_convert_constants_8hpp_source.xhtml b/21.02/_convert_constants_8hpp_source.xhtml new file mode 100644 index 0000000000..9947913993 --- /dev/null +++ b/21.02/_convert_constants_8hpp_source.xhtml @@ -0,0 +1,158 @@ +<!-- 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 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/armnn/optimizations/ConvertConstants.hpp 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> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">21.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_convert_constants_8hpp_source.xhtml','');}); +</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">ConvertConstants.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_convert_constants_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</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="_optimization_8hpp.xhtml">Optimization.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_floating_point_converter_8hpp.xhtml">armnnUtils/FloatingPointConverter.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="preprocessor">#include <<a class="code" href="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="_ignore_unused_8hpp.xhtml">armnn/utility/IgnoreUnused.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_b_float16_8hpp.xhtml">BFloat16.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_half_8hpp.xhtml">Half.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="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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>optimizations</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"><a class="line" href="structarmnn_1_1optimizations_1_1_b_float16_to_float32.xhtml"> 24</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_b_float16_to_float32.xhtml">BFloat16ToFloat32</a></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> {</div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_b_float16_to_float32.xhtml#a90848b29dabf6644d5e98b0ce8118a4f"> 26</a></span>  <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1optimizations_1_1_b_float16_to_float32.xhtml#a90848b29dabf6644d5e98b0ce8118a4f">Func</a>(std::unique_ptr<ScopedCpuTensorHandle>& handle)</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = handle->GetTensorInfo();</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">if</span> (info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  std::vector<float> newValues(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</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>  <a class="code" href="classarmnn_utils_1_1_floating_point_converter.xhtml#af9e9df90cb6319b0406acf9a3bc27667">armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32</a>(handle->GetTensor<<a class="code" href="classarmnn_1_1_b_float16.xhtml">BFloat16</a>>(),</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(),</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  newValues.data());</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> newInfo(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> newInput(newInfo, newValues);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  handle.reset(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>(newInput));</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>  }</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="structarmnn_1_1optimizations_1_1_float16_to_float32.xhtml"> 45</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_float16_to_float32.xhtml">Float16ToFloat32</a></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_float16_to_float32.xhtml#a90848b29dabf6644d5e98b0ce8118a4f"> 47</a></span>  <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1optimizations_1_1_float16_to_float32.xhtml#a90848b29dabf6644d5e98b0ce8118a4f">Func</a>(std::unique_ptr<ScopedCpuTensorHandle>& handle)</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = handle->GetTensorInfo();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">if</span> (info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</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>  std::vector<float> newValues(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</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>  <a class="code" href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a>(handle->GetTensor<<a class="code" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">Half</a>>(),</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(),</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  newValues.data());</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> newInfo(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> newInput(newInfo, newValues);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  handle.reset(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>(newInput));</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  }</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</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> </div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_float32_to_b_float16.xhtml"> 66</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_float32_to_b_float16.xhtml">Float32ToBFloat16</a></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_float32_to_b_float16.xhtml#a90848b29dabf6644d5e98b0ce8118a4f"> 68</a></span>  <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1optimizations_1_1_float32_to_b_float16.xhtml#a90848b29dabf6644d5e98b0ce8118a4f">Func</a>(std::unique_ptr<ScopedCpuTensorHandle>& handle)</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = handle->GetTensorInfo();</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">if</span> (info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</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>  std::vector<BFloat16> newValues(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac7add3b3d40fbaab5e514c756a953d78">armnnUtils::FloatingPointConverter::ConvertFloat32ToBFloat16</a>(handle->GetTensor<<span class="keywordtype">float</span>>(),</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(),</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  newValues.data());</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> newInfo(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> newInput(newInfo, newValues);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  handle.reset(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>(newInput));</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> };</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_float32_to_float16.xhtml"> 87</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_float32_to_float16.xhtml">Float32ToFloat16</a></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> {</div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_float32_to_float16.xhtml#a90848b29dabf6644d5e98b0ce8118a4f"> 89</a></span>  <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1optimizations_1_1_float32_to_float16.xhtml#a90848b29dabf6644d5e98b0ce8118a4f">Func</a>(std::unique_ptr<ScopedCpuTensorHandle>& handle)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = handle->GetTensorInfo();</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">if</span> (info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</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>  std::vector<Half> newValues(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</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>  <a class="code" href="classarmnn_utils_1_1_floating_point_converter.xhtml#af0fdbfb53596052d571cb73899f9da2b">armnnUtils::FloatingPointConverter::ConvertFloat32To16</a>(handle->GetTensor<<span class="keywordtype">float</span>>(),</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(),</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  newValues.data());</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="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> newInfo(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> newInput(newInfo, newValues);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  handle.reset(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>(newInput));</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>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> };</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="keyword">template</span><<span class="keyword">typename</span> Converter, <span class="keyword">typename</span> Predicate></div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml"> 109</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstants</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_optimization.xhtml">Optimization</a></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstants</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstants</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstants</a>&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">virtual</span> ~<a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstants</a>() = <span class="keywordflow">default</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"><a class="line" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml#a47831303c57efc1f46d26934a3d773fb"> 116</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml#a47831303c57efc1f46d26934a3d773fb">Run</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph, <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer)<span class="keyword"> const override</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(graph);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">if</span> (Predicate::Test(layer))</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  {</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  layer.<a class="code" href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a>(Converter::Func);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> };</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_is_float32_layer.xhtml"> 127</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_is_float32_layer.xhtml">IsFloat32Layer</a></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> {</div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_is_float32_layer.xhtml#a4d870e13875a9a0a1cf09ba349904350"> 129</a></span>  <span class="keyword">static</span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1optimizations_1_1_is_float32_layer.xhtml#a4d870e13875a9a0a1cf09ba349904350">Test</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> };</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_is_float16_layer.xhtml"> 135</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_is_float16_layer.xhtml">IsFloat16Layer</a></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> {</div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_is_float16_layer.xhtml#a4d870e13875a9a0a1cf09ba349904350"> 137</a></span>  <span class="keyword">static</span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1optimizations_1_1_is_float16_layer.xhtml#a4d870e13875a9a0a1cf09ba349904350">Test</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer)</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> };</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_is_b_float16_layer.xhtml"> 143</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_is_b_float16_layer.xhtml">IsBFloat16Layer</a></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> {</div><div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_is_b_float16_layer.xhtml#a4d870e13875a9a0a1cf09ba349904350"> 145</a></span>  <span class="keyword">static</span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1optimizations_1_1_is_b_float16_layer.xhtml#a4d870e13875a9a0a1cf09ba349904350">Test</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>& layer)</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> };</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="namespacearmnn_1_1optimizations.xhtml#ae8c1ba6bb2208ba3a0e17ad9ba5791ad"> 151</a></span> <span class="keyword">using</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstantsBFloatToFloat</a> = <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstants<BFloat16ToFloat32, IsFloat32Layer></a>;</div><div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="namespacearmnn_1_1optimizations.xhtml#aee1a3b292f726335f0a3998b51101aef"> 152</a></span> <span class="keyword">using</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstantsFloatToBFloat</a> = <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstants<Float32ToBFloat16, IsBFloat16Layer></a>;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"><a class="line" href="namespacearmnn_1_1optimizations.xhtml#a06cac66872538895dd6b59cdf39173d2"> 154</a></span> <span class="keyword">using</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstantsHalfToFloat</a> = <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstants<Float16ToFloat32, IsFloat32Layer></a>;</div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="namespacearmnn_1_1optimizations.xhtml#a226cef3d775179e25ee35d231f4e8fae"> 155</a></span> <span class="keyword">using</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstantsFloatToHalf</a> = <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">ConvertConstants<Float32ToFloat16, IsFloat16Layer></a>;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> } <span class="comment">//namespace optimizations</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="classarmnn_1_1optimizations_1_1_convert_constants_xhtml"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml">armnn::optimizations::ConvertConstants</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00109">ConvertConstants.hpp:109</a></div></div> +<div class="ttc" id="_ignore_unused_8hpp_xhtml"><div class="ttname"><a href="_ignore_unused_8hpp.xhtml">IgnoreUnused.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_is_float32_layer_xhtml_a4d870e13875a9a0a1cf09ba349904350"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_is_float32_layer.xhtml#a4d870e13875a9a0a1cf09ba349904350">armnn::optimizations::IsFloat32Layer::Test</a></div><div class="ttdeci">static bool Test(const Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00129">ConvertConstants.hpp:129</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_is_float32_layer_xhtml"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_is_float32_layer.xhtml">armnn::optimizations::IsFloat32Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00127">ConvertConstants.hpp:127</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div> +<div class="ttc" id="_floating_point_converter_8hpp_xhtml"><div class="ttname"><a href="_floating_point_converter_8hpp.xhtml">FloatingPointConverter.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_is_float16_layer_xhtml_a4d870e13875a9a0a1cf09ba349904350"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_is_float16_layer.xhtml#a4d870e13875a9a0a1cf09ba349904350">armnn::optimizations::IsFloat16Layer::Test</a></div><div class="ttdeci">static bool Test(const Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00137">ConvertConstants.hpp:137</a></div></div> +<div class="ttc" id="classarmnn_utils_1_1_floating_point_converter_xhtml_af9e9df90cb6319b0406acf9a3bc27667"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.xhtml#af9e9df90cb6319b0406acf9a3bc27667">armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32</a></div><div class="ttdeci">static void ConvertBFloat16ToFloat32(const void *srcBFloat16Buffer, size_t numElements, float *dstFloat32Buffer)</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.xhtml#l00061">FloatingPointConverter.cpp:61</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a386acff5f8430245239ce58d00ba7576"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">armnn::Layer::OperateOnConstantTensors</a></div><div class="ttdeci">void OperateOnConstantTensors(Op op)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00298">Layer.hpp:298</a></div></div> +<div class="ttc" id="classarmnn_1_1_b_float16_xhtml"><div class="ttname"><a href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a></div><div class="ttdef"><b>Definition:</b> <a href="_b_float16_8hpp_source.xhtml#l00014">BFloat16.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_is_b_float16_layer_xhtml_a4d870e13875a9a0a1cf09ba349904350"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_is_b_float16_layer.xhtml#a4d870e13875a9a0a1cf09ba349904350">armnn::optimizations::IsBFloat16Layer::Test</a></div><div class="ttdeci">static bool Test(const Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00145">ConvertConstants.hpp:145</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_float32_to_float16_xhtml_a90848b29dabf6644d5e98b0ce8118a4f"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_float32_to_float16.xhtml#a90848b29dabf6644d5e98b0ce8118a4f">armnn::optimizations::Float32ToFloat16::Func</a></div><div class="ttdeci">static void Func(std::unique_ptr< ScopedCpuTensorHandle > &handle)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00089">ConvertConstants.hpp:89</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_is_b_float16_layer_xhtml"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_is_b_float16_layer.xhtml">armnn::optimizations::IsBFloat16Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00143">ConvertConstants.hpp:143</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_float32_to_b_float16_xhtml_a90848b29dabf6644d5e98b0ce8118a4f"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_float32_to_b_float16.xhtml#a90848b29dabf6644d5e98b0ce8118a4f">armnn::optimizations::Float32ToBFloat16::Func</a></div><div class="ttdeci">static void Func(std::unique_ptr< ScopedCpuTensorHandle > &handle)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00068">ConvertConstants.hpp:68</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_float16_to_float32_xhtml_a90848b29dabf6644d5e98b0ce8118a4f"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_float16_to_float32.xhtml#a90848b29dabf6644d5e98b0ce8118a4f">armnn::optimizations::Float16ToFloat32::Func</a></div><div class="ttdeci">static void Func(std::unique_ptr< ScopedCpuTensorHandle > &handle)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00047">ConvertConstants.hpp:47</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_b_float16_to_float32_xhtml_a90848b29dabf6644d5e98b0ce8118a4f"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_b_float16_to_float32.xhtml#a90848b29dabf6644d5e98b0ce8118a4f">armnn::optimizations::BFloat16ToFloat32::Func</a></div><div class="ttdeci">static void Func(std::unique_ptr< ScopedCpuTensorHandle > &handle)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00026">ConvertConstants.hpp:26</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_float32_to_float16_xhtml"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_float32_to_float16.xhtml">armnn::optimizations::Float32ToFloat16</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00087">ConvertConstants.hpp:87</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00194">Tensor.hpp:194</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_is_float16_layer_xhtml"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_is_float16_layer.xhtml">armnn::optimizations::IsFloat16Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00135">ConvertConstants.hpp:135</a></div></div> +<div class="ttc" id="classarmnn_utils_1_1_floating_point_converter_xhtml_af0fdbfb53596052d571cb73899f9da2b"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.xhtml#af0fdbfb53596052d571cb73899f9da2b">armnnUtils::FloatingPointConverter::ConvertFloat32To16</a></div><div class="ttdeci">static void ConvertFloat32To16(const float *srcFloat32Buffer, size_t numElements, void *dstFloat16Buffer)</div><div class="ttdoc">Converts a buffer of FP32 values to FP16, and stores in the given dstFloat16Buffer. </div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.xhtml#l00016">FloatingPointConverter.cpp:16</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00314">Tensor.hpp:314</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_float32_to_b_float16_xhtml"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_float32_to_b_float16.xhtml">armnn::optimizations::Float32ToBFloat16</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00066">ConvertConstants.hpp:66</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> +<div class="ttc" id="classarmnn_1_1_optimization_xhtml"><div class="ttname"><a href="classarmnn_1_1_optimization.xhtml">armnn::Optimization</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.xhtml#l00015">Optimization.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_utils_1_1_floating_point_converter_xhtml_ac1f1568f02163a68906a0030e0ba9871"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a></div><div class="ttdeci">static void ConvertFloat16To32(const void *srcFloat16Buffer, size_t numElements, float *dstFloat32Buffer)</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.xhtml#l00031">FloatingPointConverter.cpp:31</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div> +<div class="ttc" id="classarmnn_1_1optimizations_1_1_convert_constants_xhtml_a47831303c57efc1f46d26934a3d773fb"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_convert_constants.xhtml#a47831303c57efc1f46d26934a3d773fb">armnn::optimizations::ConvertConstants::Run</a></div><div class="ttdeci">void Run(Graph &graph, Layer &layer) const override</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00116">ConvertConstants.hpp:116</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div> +<div class="ttc" id="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.hpp</a></div></div> +<div class="ttc" id="_half_8hpp_xhtml"><div class="ttname"><a href="_half_8hpp.xhtml">Half.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_scoped_cpu_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">armnn::ScopedCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00106">CpuTensorHandle.hpp:106</a></div></div> +<div class="ttc" id="classarmnn_utils_1_1_floating_point_converter_xhtml_ac7add3b3d40fbaab5e514c756a953d78"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.xhtml#ac7add3b3d40fbaab5e514c756a953d78">armnnUtils::FloatingPointConverter::ConvertFloat32ToBFloat16</a></div><div class="ttdeci">static void ConvertFloat32ToBFloat16(const float *srcFloat32Buffer, size_t numElements, void *dstBFloat16Buffer)</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.xhtml#l00046">FloatingPointConverter.cpp:46</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">armnn::Layer::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00283">Layer.cpp:283</a></div></div> +<div class="ttc" id="_b_float16_8hpp_xhtml"><div class="ttname"><a href="_b_float16_8hpp.xhtml">BFloat16.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_b_float16_to_float32_xhtml"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_b_float16_to_float32.xhtml">armnn::optimizations::BFloat16ToFloat32</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00024">ConvertConstants.hpp:24</a></div></div> +<div class="ttc" id="_optimization_8hpp_xhtml"><div class="ttname"><a href="_optimization_8hpp.xhtml">Optimization.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a0f38fa92b2468d5378258a2b074c1a31"><div class="ttname"><a href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.xhtml#l00016">Half.hpp:16</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00210">Layer.hpp:210</a></div></div> +<div class="ttc" id="structarmnn_1_1optimizations_1_1_float16_to_float32_xhtml"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_float16_to_float32.xhtml">armnn::optimizations::Float16ToFloat32</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.xhtml#l00045">ConvertConstants.hpp:45</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00192">Tensor.hpp:192</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- 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_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="dir_5bee762cfd03f62aa80233ed05f1bfdf.xhtml">optimizations</a></li><li class="navelem"><a class="el" href="_convert_constants_8hpp.xhtml">ConvertConstants.hpp</a></li> + <li class="footer">Generated on Thu Feb 25 2021 17:27:29 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |