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| author | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
|---|---|---|
| committer | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
| commit | ae050524109f1ce827962665436ef7430f2ac479 (patch) | |
| tree | a087fe0c77570971dd7979f2757426c24e91afc7 /23.02/_ref_workload_utils_8hpp_source.xhtml | |
| parent | 8d2ca734165a068478df7cffa46185680b05cd20 (diff) | |
| download | armnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz | |
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release.
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
Diffstat (limited to '23.02/_ref_workload_utils_8hpp_source.xhtml')
| -rw-r--r-- | 23.02/_ref_workload_utils_8hpp_source.xhtml | 200 |
1 files changed, 162 insertions, 38 deletions
diff --git a/23.02/_ref_workload_utils_8hpp_source.xhtml b/23.02/_ref_workload_utils_8hpp_source.xhtml index 4a7ab3a438..9acf3c13cc 100644 --- a/23.02/_ref_workload_utils_8hpp_source.xhtml +++ b/23.02/_ref_workload_utils_8hpp_source.xhtml @@ -8,7 +8,7 @@ <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="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/RefWorkloadUtils.hpp Source File</title> @@ -19,9 +19,6 @@ <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> @@ -30,7 +27,8 @@ extensions: ["tex2jax.js"], jax: ["input/TeX","output/HTML-CSS"], }); -</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +</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> @@ -51,18 +49,21 @@ </table> </div> <!-- end header part --> -<!-- Generated by Doxygen 1.8.13 --> +<!-- 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(); }); }); -</script> +/* @license-end */</script> <div id="main-nav"></div> </div><!-- top --> <div id="side-nav" class="ui-resizable side-nav-resizable"> @@ -76,7 +77,9 @@ $(function() { </div> </div> <script type="text/javascript"> -$(document).ready(function(){initNavTree('_ref_workload_utils_8hpp_source.xhtml','');}); +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_ref_workload_utils_8hpp_source.xhtml',''); initResizable(); }); +/* @license-end */ </script> <div id="doc-content"> <!-- window showing the filter options --> @@ -98,43 +101,164 @@ $(document).ready(function(){initNavTree('_ref_workload_utils_8hpp_source.xhtml' <div class="title">RefWorkloadUtils.hpp</div> </div> </div><!--header--> <div class="contents"> -<a href="_ref_workload_utils_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="_tensor_handle_8hpp.xhtml">armnn/backends/TensorHandle.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="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.xhtml">armnn/utility/PolymorphicDowncast.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="_ref_tensor_handle_8hpp.xhtml">reference/RefTensorHandle.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="comment"></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">////////////////////////////////////////////</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">/// float32 helpers</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment">////////////////////////////////////////////</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"></span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">template</span> <<span class="keyword">typename</span> TensorHandleType = RefTensorHandle></div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b"> 27</a></span> <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle)</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="comment">// We know that reference workloads use RefTensorHandles for inputs and outputs</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> TensorHandleType* refTensorHandle =</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  PolymorphicDowncast<const TensorHandleType*>(tensorHandle);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">return</span> refTensorHandle->GetTensorInfo();</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> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType, <span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2187ea15b1ae8c323a0cc5c211fc43d9"> 36</a></span> <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.xhtml#a2187ea15b1ae8c323a0cc5c211fc43d9">GetInputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& 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="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle = data.m_Inputs[idx];</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">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> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType, <span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.xhtml#ae9f37e0b5f15afd89a29788a319da9ec">GetOutputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle = data.m_Outputs[idx];</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">Map</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> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType></div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a5442d22144b3608bcfc7eea1bc55e35d"> 50</a></span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.xhtml#ae9f37e0b5f15afd89a29788a319da9ec">GetOutputTensorData</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle)</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>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</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="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a691846a9eee59b0cd5b22fb5f674e007"> 56</a></span> <span class="keyword">const</span> <span class="keywordtype">float</span>* <a class="code" href="namespacearmnn.xhtml#a691846a9eee59b0cd5b22fb5f674e007">GetInputTensorDataFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">return</span> GetInputTensorData<float>(idx, data);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ab5f0afc1e37fd100843ecd55d8f284c1"> 62</a></span> <span class="keywordtype">float</span>* <a class="code" href="namespacearmnn.xhtml#ab5f0afc1e37fd100843ecd55d8f284c1">GetOutputTensorDataFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</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="keywordflow">return</span> GetOutputTensorData<float>(idx, data);</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> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a084b0ce273bef78aa314bd97fc574b84"> 68</a></span> <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">Half</a>* <a class="code" href="namespacearmnn.xhtml#a084b0ce273bef78aa314bd97fc574b84">GetInputTensorDataHalf</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</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">return</span> GetInputTensorData<Half>(idx, 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> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ab98e77207c3d676b0b9ffa67357dbc6a"> 74</a></span> <a class="code" href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">Half</a>* <a class="code" href="namespacearmnn.xhtml#ab98e77207c3d676b0b9ffa67357dbc6a">GetOutputTensorDataHalf</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</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>  <span class="keywordflow">return</span> GetOutputTensorData<Half>(idx, data);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac44cb4d413a43342b120b2c4d047d648"> 80</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_b_float16.xhtml">BFloat16</a>* <a class="code" href="namespacearmnn.xhtml#ac44cb4d413a43342b120b2c4d047d648">GetInputTensorDataBFloat16</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</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">return</span> GetInputTensorData<BFloat16>(idx, data);</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> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a85ace5e5f41a093622a8c04150d24c60"> 86</a></span> <a class="code" href="classarmnn_1_1_b_float16.xhtml">BFloat16</a>* <a class="code" href="namespacearmnn.xhtml#a85ace5e5f41a093622a8c04150d24c60">GetOutputTensorDataBFloat16</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> GetOutputTensorData<BFloat16>(idx, data);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"></span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment">////////////////////////////////////////////</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment">/// u8 helpers</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment">////////////////////////////////////////////</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"></span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a4144d7535639c617fca0d095379493f0"> 96</a></span> std::vector<float> <a class="code" href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(<span class="keyword">const</span> T* quant, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& info)</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>  std::vector<float> ret(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>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</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>  ret[i] = <a class="code" href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a>(quant[i], info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">return</span> ret;</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> <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a1204727d8ce3ee1e60daf08079eb892e"> 107</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(<span class="keyword">const</span> T* inputData, <span class="keywordtype">float</span>* outputData, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& info)</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">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</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>  outputData[i] = Dequantize<T>(inputData[i], info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</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> }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abbbe4a59b72fba606f21e7c24dcbd8c0"> 115</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">Quantize</a>(uint8_t* quant, <span class="keyword">const</span> <span class="keywordtype">float</span>* dequant, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& info)</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">for</span> (<span class="keywordtype">size_t</span> i = 0; i < info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); i++)</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>  quant[i] = armnn::Quantize<uint8_t>(dequant[i], info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(), info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</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> }</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> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="namespacearmnn_xhtml_ac44cb4d413a43342b120b2c4d047d648"><div class="ttname"><a href="namespacearmnn.xhtml#ac44cb4d413a43342b120b2c4d047d648">armnn::GetInputTensorDataBFloat16</a></div><div class="ttdeci">const BFloat16 * GetInputTensorDataBFloat16(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00080">RefWorkloadUtils.hpp:80</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a691846a9eee59b0cd5b22fb5f674e007"><div class="ttname"><a href="namespacearmnn.xhtml#a691846a9eee59b0cd5b22fb5f674e007">armnn::GetInputTensorDataFloat</a></div><div class="ttdeci">const float * GetInputTensorDataFloat(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00056">RefWorkloadUtils.hpp:56</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a855293b1be0581fb61ef6a1c5b027d0f"><div class="ttname"><a href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a></div><div class="ttdeci">float Dequantize(QuantizedType value, float scale, int32_t offset)</div><div class="ttdoc">Dequantize an 8-bit data type into a floating point data type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00046">TypesUtils.cpp:46</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a2187ea15b1ae8c323a0cc5c211fc43d9"><div class="ttname"><a href="namespacearmnn.xhtml#a2187ea15b1ae8c323a0cc5c211fc43d9">armnn::GetInputTensorData</a></div><div class="ttdeci">const DataType * GetInputTensorData(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00036">RefWorkloadUtils.hpp:36</a></div></div> -<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div> -<div class="ttc" id="_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_tensor_handle_8hpp.xhtml">TensorHandle.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="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#l00015">BFloat16.hpp:15</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_ab98e77207c3d676b0b9ffa67357dbc6a"><div class="ttname"><a href="namespacearmnn.xhtml#ab98e77207c3d676b0b9ffa67357dbc6a">armnn::GetOutputTensorDataHalf</a></div><div class="ttdeci">Half * GetOutputTensorDataHalf(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00074">RefWorkloadUtils.hpp:74</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__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a084b0ce273bef78aa314bd97fc574b84"><div class="ttname"><a href="namespacearmnn.xhtml#a084b0ce273bef78aa314bd97fc574b84">armnn::GetInputTensorDataHalf</a></div><div class="ttdeci">const Half * GetInputTensorDataHalf(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00068">RefWorkloadUtils.hpp:68</a></div></div> -<div class="ttc" id="_polymorphic_downcast_8hpp_xhtml"><div class="ttname"><a href="_polymorphic_downcast_8hpp.xhtml">PolymorphicDowncast.hpp</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00048">Types.hpp:48</a></div></div> -<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00478">Tensor.cpp:478</a></div></div> -<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.hpp:15</a></div></div> -<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00461">Tensor.cpp:461</a></div></div> -<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.xhtml#l00022">Half.hpp:22</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_ad773a034fb9983e15f3094b4c5c7c30c"><div class="ttname"><a href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">armnn::Quantize</a></div><div class="ttdeci">QuantizedType Quantize(float value, float scale, int32_t offset)</div><div class="ttdoc">Quantize a floating point data type into an 8-bit data type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00030">TypesUtils.cpp:30</a></div></div> -<div class="ttc" id="_ref_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_ref_tensor_handle_8hpp.xhtml">RefTensorHandle.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_i_tensor_handle_xhtml_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div><div class="ttdoc">Map the tensor data for access. </div></div> -<div class="ttc" id="namespacearmnn_xhtml_ae9f37e0b5f15afd89a29788a319da9ec"><div class="ttname"><a href="namespacearmnn.xhtml#ae9f37e0b5f15afd89a29788a319da9ec">armnn::GetOutputTensorData</a></div><div class="ttdeci">DataType * GetOutputTensorData(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00173">ClWorkloadUtils.hpp:173</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_ab5f0afc1e37fd100843ecd55d8f284c1"><div class="ttname"><a href="namespacearmnn.xhtml#ab5f0afc1e37fd100843ecd55d8f284c1">armnn::GetOutputTensorDataFloat</a></div><div class="ttdeci">float * GetOutputTensorDataFloat(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00062">RefWorkloadUtils.hpp:62</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a85ace5e5f41a093622a8c04150d24c60"><div class="ttname"><a href="namespacearmnn.xhtml#a85ace5e5f41a093622a8c04150d24c60">armnn::GetOutputTensorDataBFloat16</a></div><div class="ttdeci">BFloat16 * GetOutputTensorDataBFloat16(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00086">RefWorkloadUtils.hpp:86</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#l00196">Tensor.hpp:196</a></div></div> -<div class="ttc" id="namespacearmnn_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> +<a href="_ref_workload_utils_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="_tensor_handle_8hpp.xhtml">armnn/backends/TensorHandle.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="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.xhtml">armnn/utility/PolymorphicDowncast.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="_ref_tensor_handle_8hpp.xhtml">reference/RefTensorHandle.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="comment"></span> </div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">////////////////////////////////////////////</span></div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">/// float32 helpers</span></div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment">////////////////////////////////////////////</span></div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"></span> </div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="keyword">template</span> <<span class="keyword">typename</span> TensorHandleType = RefTensorHandle></div> +<div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b"> 27</a></span> <span class="keyword">inline</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& <a class="code" href="namespacearmnn.xhtml#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle)</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="comment">// We know that reference workloads use RefTensorHandles for inputs and outputs</span></div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> TensorHandleType* refTensorHandle =</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  PolymorphicDowncast<const TensorHandleType*>(tensorHandle);</div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">return</span> refTensorHandle->GetTensorInfo();</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>  </div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType, <span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a2187ea15b1ae8c323a0cc5c211fc43d9"> 36</a></span> <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.xhtml#a2187ea15b1ae8c323a0cc5c211fc43d9">GetInputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& 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="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle = data.m_Inputs[idx];</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">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>  </div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType, <span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.xhtml#ae9f37e0b5f15afd89a29788a319da9ec">GetOutputTensorData</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  ITensorHandle* tensorHandle = data.m_Outputs[idx];</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle->Map());</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>  </div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">template</span> <<span class="keyword">typename</span> DataType></div> +<div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a5442d22144b3608bcfc7eea1bc55e35d"> 50</a></span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>* <a class="code" href="namespacearmnn.xhtml#ae9f37e0b5f15afd89a29788a319da9ec">GetOutputTensorData</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* tensorHandle)</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>  <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>*<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">Map</a>());</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</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="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a691846a9eee59b0cd5b22fb5f674e007"> 56</a></span> <span class="keyword">const</span> <span class="keywordtype">float</span>* <a class="code" href="namespacearmnn.xhtml#a691846a9eee59b0cd5b22fb5f674e007">GetInputTensorDataFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">return</span> GetInputTensorData<float>(idx, data);</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  </div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ab5f0afc1e37fd100843ecd55d8f284c1"> 62</a></span> <span class="keywordtype">float</span>* <a class="code" href="namespacearmnn.xhtml#ab5f0afc1e37fd100843ecd55d8f284c1">GetOutputTensorDataFloat</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</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="keywordflow">return</span> GetOutputTensorData<float>(idx, data);</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>  </div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a084b0ce273bef78aa314bd97fc574b84"> 68</a></span> <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">Half</a>* <a class="code" href="namespacearmnn.xhtml#a084b0ce273bef78aa314bd97fc574b84">GetInputTensorDataHalf</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</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">return</span> GetInputTensorData<Half>(idx, 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>  </div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ab98e77207c3d676b0b9ffa67357dbc6a"> 74</a></span> <a class="code" href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">Half</a>* <a class="code" href="namespacearmnn.xhtml#ab98e77207c3d676b0b9ffa67357dbc6a">GetOutputTensorDataHalf</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</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>  <span class="keywordflow">return</span> GetOutputTensorData<Half>(idx, data);</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  </div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ac44cb4d413a43342b120b2c4d047d648"> 80</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_b_float16.xhtml">BFloat16</a>* <a class="code" href="namespacearmnn.xhtml#ac44cb4d413a43342b120b2c4d047d648">GetInputTensorDataBFloat16</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</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">return</span> GetInputTensorData<BFloat16>(idx, data);</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> <span class="keyword">template</span> <<span class="keyword">typename</span> PayloadType></div> +<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a85ace5e5f41a093622a8c04150d24c60"> 86</a></span> <a class="code" href="classarmnn_1_1_b_float16.xhtml">BFloat16</a>* <a class="code" href="namespacearmnn.xhtml#a85ace5e5f41a093622a8c04150d24c60">GetOutputTensorDataBFloat16</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx, <span class="keyword">const</span> PayloadType& data)</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> GetOutputTensorData<BFloat16>(idx, data);</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"></span> </div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment">////////////////////////////////////////////</span></div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment">/// u8 helpers</span></div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment">////////////////////////////////////////////</span></div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"></span> </div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div> +<div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a4144d7535639c617fca0d095379493f0"> 96</a></span> std::vector<float> <a class="code" href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(<span class="keyword">const</span> T* quant, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& info)</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>  std::vector<float> ret(<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements());</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(); i++)</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>  ret[i] = <a class="code" href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a>(quant[i], <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(), <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  }</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">return</span> ret;</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> <span class="keyword">template</span><<span class="keyword">typename</span> T></div> +<div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a1204727d8ce3ee1e60daf08079eb892e"> 107</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(<span class="keyword">const</span> T* inputData, <span class="keywordtype">float</span>* outputData, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& info)</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">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(); i++)</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>  outputData[i] = Dequantize<T>(inputData[i], <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(), <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</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> }</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div> +<div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#abbbe4a59b72fba606f21e7c24dcbd8c0"> 115</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">Quantize</a>(uint8_t* quant, <span class="keyword">const</span> <span class="keywordtype">float</span>* dequant, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& info)</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">for</span> (<span class="keywordtype">size_t</span> i = 0; i < <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetNumElements(); i++)</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>  quant[i] = armnn::Quantize<uint8_t>(dequant[i], <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(), <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</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> }</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> } <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="anamespacearmnn_xhtml_a2187ea15b1ae8c323a0cc5c211fc43d9"><div class="ttname"><a href="namespacearmnn.xhtml#a2187ea15b1ae8c323a0cc5c211fc43d9">armnn::GetInputTensorData</a></div><div class="ttdeci">const DataType * GetInputTensorData(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00036">RefWorkloadUtils.hpp:36</a></div></div> +<div class="ttc" id="a_polymorphic_downcast_8hpp_xhtml"><div class="ttname"><a href="_polymorphic_downcast_8hpp.xhtml">PolymorphicDowncast.hpp</a></div></div> +<div class="ttc" id="a_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_tensor_handle_8hpp.xhtml">TensorHandle.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a691846a9eee59b0cd5b22fb5f674e007"><div class="ttname"><a href="namespacearmnn.xhtml#a691846a9eee59b0cd5b22fb5f674e007">armnn::GetInputTensorDataFloat</a></div><div class="ttdeci">const float * GetInputTensorDataFloat(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00056">RefWorkloadUtils.hpp:56</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="anamespacearmnn_xhtml_a084b0ce273bef78aa314bd97fc574b84"><div class="ttname"><a href="namespacearmnn.xhtml#a084b0ce273bef78aa314bd97fc574b84">armnn::GetInputTensorDataHalf</a></div><div class="ttdeci">const Half * GetInputTensorDataHalf(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00068">RefWorkloadUtils.hpp:68</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ac44cb4d413a43342b120b2c4d047d648"><div class="ttname"><a href="namespacearmnn.xhtml#ac44cb4d413a43342b120b2c4d047d648">armnn::GetInputTensorDataBFloat16</a></div><div class="ttdeci">const BFloat16 * GetInputTensorDataBFloat16(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00080">RefWorkloadUtils.hpp:80</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.hpp:15</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ab98e77207c3d676b0b9ffa67357dbc6a"><div class="ttname"><a href="namespacearmnn.xhtml#ab98e77207c3d676b0b9ffa67357dbc6a">armnn::GetOutputTensorDataHalf</a></div><div class="ttdeci">Half * GetOutputTensorDataHalf(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00074">RefWorkloadUtils.hpp:74</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ab5f0afc1e37fd100843ecd55d8f284c1"><div class="ttname"><a href="namespacearmnn.xhtml#ab5f0afc1e37fd100843ecd55d8f284c1">armnn::GetOutputTensorDataFloat</a></div><div class="ttdeci">float * GetOutputTensorDataFloat(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00062">RefWorkloadUtils.hpp:62</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.xhtml#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.xhtml#l00022">Half.hpp:22</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_xhtml_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div><div class="ttdoc">Map the tensor data for access.</div></div> +<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="a_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ae9f37e0b5f15afd89a29788a319da9ec"><div class="ttname"><a href="namespacearmnn.xhtml#ae9f37e0b5f15afd89a29788a319da9ec">armnn::GetOutputTensorData</a></div><div class="ttdeci">DataType * GetOutputTensorData(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.xhtml#l00173">ClWorkloadUtils.hpp:173</a></div></div> +<div class="ttc" id="aclassarmnn_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#l00015">BFloat16.hpp:15</a></div></div> +<div class="ttc" id="a_half_8hpp_xhtml"><div class="ttname"><a href="_half_8hpp.xhtml">Half.hpp</a></div></div> +<div class="ttc" id="a_ref_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_ref_tensor_handle_8hpp.xhtml">RefTensorHandle.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00048">Types.hpp:48</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad773a034fb9983e15f3094b4c5c7c30c"><div class="ttname"><a href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">armnn::Quantize</a></div><div class="ttdeci">QuantizedType Quantize(float value, float scale, int32_t offset)</div><div class="ttdoc">Quantize a floating point data type into an 8-bit data type.</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00030">TypesUtils.cpp:30</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a85ace5e5f41a093622a8c04150d24c60"><div class="ttname"><a href="namespacearmnn.xhtml#a85ace5e5f41a093622a8c04150d24c60">armnn::GetOutputTensorDataBFloat16</a></div><div class="ttdeci">BFloat16 * GetOutputTensorDataBFloat16(unsigned int idx, const PayloadType &data)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.xhtml#l00086">RefWorkloadUtils.hpp:86</a></div></div> +<div class="ttc" id="a_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a855293b1be0581fb61ef6a1c5b027d0f"><div class="ttname"><a href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a></div><div class="ttdeci">float Dequantize(QuantizedType value, float scale, int32_t offset)</div><div class="ttdoc">Dequantize an 8-bit data type into a floating point data type.</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00046">TypesUtils.cpp:46</a></div></div> +<div class="ttc" id="a_b_float16_8hpp_xhtml"><div class="ttname"><a href="_b_float16_8hpp.xhtml">BFloat16.hpp</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> <!-- 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 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