Ryan OShea | de36e4a | 2020-03-13 16:26:19 +0000 | [diff] [blame] | 1 | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
| 2 | <html xmlns="http://www.w3.org/1999/xhtml"> |
| 3 | <head> |
| 4 | <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> |
| 5 | <meta http-equiv="X-UA-Compatible" content="IE=9"/> |
| 6 | <meta name="generator" content="Doxygen 1.8.13"/> |
| 7 | <meta name="viewport" content="width=device-width, initial-scale=1"/> |
| 8 | <title>ArmNN: src/backends/reference/workloads/Decoders.hpp Source File</title> |
| 9 | <link href="tabs.css" rel="stylesheet" type="text/css"/> |
| 10 | <script type="text/javascript" src="jquery.js"></script> |
| 11 | <script type="text/javascript" src="dynsections.js"></script> |
| 12 | <link href="navtree.css" rel="stylesheet" type="text/css"/> |
| 13 | <script type="text/javascript" src="resize.js"></script> |
| 14 | <script type="text/javascript" src="navtreedata.js"></script> |
| 15 | <script type="text/javascript" src="navtree.js"></script> |
| 16 | <script type="text/javascript"> |
| 17 | $(document).ready(initResizable); |
| 18 | </script> |
| 19 | <link href="search/search.css" rel="stylesheet" type="text/css"/> |
| 20 | <script type="text/javascript" src="search/searchdata.js"></script> |
| 21 | <script type="text/javascript" src="search/search.js"></script> |
| 22 | <link href="doxygen.css" rel="stylesheet" type="text/css" /> |
| 23 | </head> |
| 24 | <body> |
| 25 | <div id="top"><!-- do not remove this div, it is closed by doxygen! --> |
| 26 | <div id="titlearea"> |
| 27 | <table cellspacing="0" cellpadding="0"> |
| 28 | <tbody> |
| 29 | <tr style="height: 56px;"> |
| 30 | <td id="projectalign" style="padding-left: 0.5em;"> |
| 31 | <div id="projectname">ArmNN |
| 32 |  <span id="projectnumber">NotReleased</span> |
| 33 | </div> |
| 34 | </td> |
| 35 | </tr> |
| 36 | </tbody> |
| 37 | </table> |
| 38 | </div> |
| 39 | <!-- end header part --> |
| 40 | <!-- Generated by Doxygen 1.8.13 --> |
| 41 | <script type="text/javascript"> |
| 42 | var searchBox = new SearchBox("searchBox", "search",false,'Search'); |
| 43 | </script> |
| 44 | <script type="text/javascript" src="menudata.js"></script> |
| 45 | <script type="text/javascript" src="menu.js"></script> |
| 46 | <script type="text/javascript"> |
| 47 | $(function() { |
| 48 | initMenu('',true,false,'search.php','Search'); |
| 49 | $(document).ready(function() { init_search(); }); |
| 50 | }); |
| 51 | </script> |
| 52 | <div id="main-nav"></div> |
| 53 | </div><!-- top --> |
| 54 | <div id="side-nav" class="ui-resizable side-nav-resizable"> |
| 55 | <div id="nav-tree"> |
| 56 | <div id="nav-tree-contents"> |
| 57 | <div id="nav-sync" class="sync"></div> |
| 58 | </div> |
| 59 | </div> |
| 60 | <div id="splitbar" style="-moz-user-select:none;" |
| 61 | class="ui-resizable-handle"> |
| 62 | </div> |
| 63 | </div> |
| 64 | <script type="text/javascript"> |
| 65 | $(document).ready(function(){initNavTree('_decoders_8hpp_source.html','');}); |
| 66 | </script> |
| 67 | <div id="doc-content"> |
| 68 | <!-- window showing the filter options --> |
| 69 | <div id="MSearchSelectWindow" |
| 70 | onmouseover="return searchBox.OnSearchSelectShow()" |
| 71 | onmouseout="return searchBox.OnSearchSelectHide()" |
| 72 | onkeydown="return searchBox.OnSearchSelectKey(event)"> |
| 73 | </div> |
| 74 | |
| 75 | <!-- iframe showing the search results (closed by default) --> |
| 76 | <div id="MSearchResultsWindow"> |
| 77 | <iframe src="javascript:void(0)" frameborder="0" |
| 78 | name="MSearchResults" id="MSearchResults"> |
| 79 | </iframe> |
| 80 | </div> |
| 81 | |
| 82 | <div class="header"> |
| 83 | <div class="headertitle"> |
| 84 | <div class="title">Decoders.hpp</div> </div> |
| 85 | </div><!--header--> |
| 86 | <div class="contents"> |
| 87 | <a href="_decoders_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 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="_base_iterator_8hpp.html">BaseIterator.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.html">armnnUtils/FloatingPointConverter.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_tensor_utils_8hpp.html">armnnUtils/TensorUtils.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <boost/assert.hpp></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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">inline</span> std::unique_ptr<Decoder<float>> MakeSigned32PerAxisDecoder(<span class="keyword">const</span> TensorInfo& info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data)</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>  <span class="keyword">auto</span> params = <a class="code" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a>(info);</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordflow">return</span> std::make_unique<ScaledInt32PerAxisDecoder>(</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span>int32_t*<span class="keyword">></span>(data),</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  params.second,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  params.first);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> }</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">inline</span> std::unique_ptr<Decoder<float>> MakeSigned32Decoder(<span class="keyword">const</span> TensorInfo& info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data)</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>  <span class="keywordflow">if</span>(info.HasMultipleQuantizationScales())</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>  <span class="comment">// NOTE: If we have multiple quantization scales, we create a ScaledInt32PerAxisDecoder.</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="comment">// This will be used to decode per-axis quantized convolution biases.</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> MakeSigned32PerAxisDecoder(info, 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>  <span class="keywordflow">else</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">if</span> (info.GetQuantizationDim().has_value())</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="comment">// NOTE: Even though we only have a single quantization scale, if the quantization</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="comment">// dimension is set, the tensor has per-axis quantization and we need to create a</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">// ScaledInt32PerAxisDecoder</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> MakeSigned32PerAxisDecoder(info, data);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  }</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> scale = info.GetQuantizationScale();</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">if</span> (scale == 0.f)</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="comment">// NOTE:: If no quantization scale is set, we create an Int32Decoder, which simply</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// casts the int value to float. This will be used for any INT32 data other than</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">// convolution biases.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">return</span> std::make_unique<Int32Decoder>(<span class="keyword">static_cast<</span><span class="keyword">const </span>int32_t*<span class="keyword">></span>(data));</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</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>  <span class="comment">// NOTE: If we only have a single (non-zero) quantization scale and no quantization</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// dimension is specified, we need to create a ScaledInt32Decoder. This will be used</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// to decode per-tensor quantized convolution biases.</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">return</span> std::make_unique<ScaledInt32Decoder>(<span class="keyword">static_cast<</span><span class="keyword">const </span>int32_t*<span class="keyword">></span>(data), scale);</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> }</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> } <span class="comment">// anonymous namespace</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"> 66</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="keyword">inline</span> std::unique_ptr<Decoder<T>> <a class="code" href="namespacearmnn.html#a1545cb162c5a64d75d9c0c05e8ea387c">MakeDecoder</a>(<span class="keyword">const</span> TensorInfo& info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data = <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">template</span><></div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="namespacearmnn.html#adb59a379c467b6d48874e946183b4d21"> 70</a></span> <span class="keyword">inline</span> std::unique_ptr<Decoder<float>> <a class="code" href="namespacearmnn.html#a1545cb162c5a64d75d9c0c05e8ea387c">MakeDecoder</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data)</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">switch</span>(info.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</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>  <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a34346ec9593088efe3a29c0dad92166d">armnn::DataType::QuantizedSymm8PerAxis</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>  std::pair<unsigned int, std::vector<float>> params = <a class="code" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a>(info);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> std::make_unique<QSymm8PerAxisDecoder>(</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span>int8_t*<span class="keyword">></span>(data),</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  params.second,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  params.first);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>:</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> std::make_unique<QASymmS8Decoder>(</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span>int8_t*<span class="keyword">></span>(data),</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>:</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">return</span> std::make_unique<QASymm8Decoder>(</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t*<span class="keyword">></span>(data),</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  }</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>:</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>  <span class="keywordflow">return</span> std::make_unique<QSymm16Decoder>(</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span>int16_t*<span class="keyword">></span>(data),</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>:</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>  <span class="keywordflow">return</span> std::make_unique<Float16Decoder>(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>*<span class="keyword">></span>(data));</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</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="keywordflow">return</span> std::make_unique<Float32Decoder>(<span class="keyword">static_cast<</span><span class="keyword">const </span><span class="keywordtype">float</span>*<span class="keyword">></span>(data));</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>:</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">return</span> MakeSigned32Decoder(info, data);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  }</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>:</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  {</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">if</span> (info.<a class="code" href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>())</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  {</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  std::pair<unsigned int, std::vector<float>> params = <a class="code" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a>(info);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">return</span> std::make_unique<QSymm8PerAxisDecoder>(</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span>int8_t*<span class="keyword">></span>(data),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  params.second,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  params.first);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  }</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">return</span> std::make_unique<QSymmS8Decoder>(</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">static_cast<</span><span class="keyword">const </span>int8_t*<span class="keyword">></span>(data),</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</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"> 135</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">"Unsupported Data Type!"</span>);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  }</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>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_tensor_info_html_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00232">Tensor.cpp:232</a></div></div> |
| 88 | <div class="ttc" id="namespacearmnn_html_a0f38fa92b2468d5378258a2b074c1a31"><div class="ttname"><a href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00016">Half.hpp:16</a></div></div> |
| 89 | <div class="ttc" id="classarmnn_1_1_tensor_info_html_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00264">Tensor.cpp:264</a></div></div> |
| 90 | <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div> |
| 91 | <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> |
| 92 | <div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div> |
| 93 | <div class="ttc" id="_tensor_utils_8hpp_html"><div class="ttname"><a href="_tensor_utils_8hpp.html">TensorUtils.hpp</a></div></div> |
| 94 | <div class="ttc" id="_floating_point_converter_8hpp_html"><div class="ttname"><a href="_floating_point_converter_8hpp.html">FloatingPointConverter.hpp</a></div></div> |
| 95 | <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> |
| 96 | <div class="ttc" id="_base_iterator_8hpp_html"><div class="ttname"><a href="_base_iterator_8hpp.html">BaseIterator.hpp</a></div></div> |
| 97 | <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> |
| 98 | <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> |
| 99 | <div class="ttc" id="_deprecated_8hpp_html_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_BEGIN</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.html#l00033">Deprecated.hpp:33</a></div></div> |
| 100 | <div class="ttc" id="namespacearmnn_utils_html_a1826e433f7e6817976a8175b4ef8296c"><div class="ttname"><a href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a></div><div class="ttdeci">std::pair< unsigned int, std::vector< float > > GetPerAxisParams(const armnn::TensorInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00152">TensorUtils.cpp:152</a></div></div> |
| 101 | <div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div> |
| 102 | <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a34346ec9593088efe3a29c0dad92166d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a34346ec9593088efe3a29c0dad92166d">armnn::DataType::QuantizedSymm8PerAxis</a></div></div> |
| 103 | <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div> |
| 104 | <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div> |
| 105 | <div class="ttc" id="namespacearmnn_html_a1545cb162c5a64d75d9c0c05e8ea387c"><div class="ttname"><a href="namespacearmnn.html#a1545cb162c5a64d75d9c0c05e8ea387c">armnn::MakeDecoder</a></div><div class="ttdeci">std::unique_ptr< Decoder< T > > MakeDecoder(const TensorInfo &info, const void *data=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_decoders_8hpp_source.html#l00070">Decoders.hpp:70</a></div></div> |
| 106 | <div class="ttc" id="classarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00095">Tensor.hpp:95</a></div></div> |
| 107 | <div class="ttc" id="classarmnn_1_1_tensor_info_html_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00247">Tensor.cpp:247</a></div></div> |
| 108 | <div class="ttc" id="_deprecated_8hpp_html_ad762b11b48e5c1d1c1743f529485728a"><div class="ttname"><a href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_END</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.html#l00034">Deprecated.hpp:34</a></div></div> |
| 109 | </div><!-- fragment --></div><!-- contents --> |
| 110 | </div><!-- doc-content --> |
| 111 | <!-- start footer part --> |
| 112 | <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| 113 | <ul> |
| 114 | <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_efae4012d0e357ebeaba7d02491d70e5.html">reference</a></li><li class="navelem"><a class="el" href="dir_d2f3b8e2e64df3181ebe92efcc0a3012.html">workloads</a></li><li class="navelem"><a class="el" href="_decoders_8hpp.html">Decoders.hpp</a></li> |
| 115 | <li class="footer">Generated on Fri Mar 13 2020 16:06:58 for ArmNN by |
| 116 | <a href="http://www.doxygen.org/index.html"> |
| 117 | <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> |
| 118 | </ul> |
| 119 | </div> |
| 120 | </body> |
| 121 | </html> |