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| author | Nikhil Raj <nikhil.raj@arm.com> | 2023-08-22 12:00:04 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-08-22 12:00:04 +0100 |
| commit | 03c7ff3f6188240baaeaeb405a357a0c58195fec (patch) | |
| tree | ccfcd5b3481c1a48f2b2c588038e010c09fdfb5f /latest/_convert_fp32_network_to_fp16_8hpp_source.html | |
| parent | 8efb48a6847c5cd166c561127ae6611150963ce3 (diff) | |
| download | armnn-03c7ff3f6188240baaeaeb405a357a0c58195fec.tar.gz | |
IVGCVSW-7702 Update Doxygen Docu for 23.08
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I357a9f7e47614589327c1ac5d95b6224ff77103d
Diffstat (limited to 'latest/_convert_fp32_network_to_fp16_8hpp_source.html')
| -rw-r--r-- | latest/_convert_fp32_network_to_fp16_8hpp_source.html | 230 |
1 files changed, 230 insertions, 0 deletions
diff --git a/latest/_convert_fp32_network_to_fp16_8hpp_source.html b/latest/_convert_fp32_network_to_fp16_8hpp_source.html new file mode 100644 index 0000000000..f502de1e3a --- /dev/null +++ b/latest/_convert_fp32_network_to_fp16_8hpp_source.html @@ -0,0 +1,230 @@ +<!-- HTML header for doxygen 1.8.17--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.17"/> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>Arm NN: src/armnn/optimizations/ConvertFp32NetworkToFp16.hpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script> +<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="customdoxygen.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> + <td id="projectalign" style="padding-left: 0.9em;"> + <div id="projectname"> +  <span id="projectnumber">23.08</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.17 --> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +/* @license-end */</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_convert_fp32_network_to_fp16_8hpp_source.html',''); initResizable(); }); +/* @license-end */ +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">ConvertFp32NetworkToFp16.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_convert_fp32_network_to_fp16_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> <span class="preprocessor">#pragma once</span></div> +<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>  </div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_optimization_8hpp.html">Optimization.hpp</a>"</span></div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_network_utils_8hpp.html">NetworkUtils.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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> {</div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">namespace </span>optimizations</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>  </div> +<div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html"> 15</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html">ConvertFp32NetworkToFp16Impl</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> <span class="keyword">public</span>:</div> +<div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html#aaa2a4663cec52a8aa89a93c7c8317183"> 18</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html#aaa2a4663cec52a8aa89a93c7c8317183">Run</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph, <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer)<span class="keyword"> const</span></div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword"> </span>{</div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keywordflow">if</span>(layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div> +<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  {</div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="comment">// if the outputs of this layer are DataType::Float32</span></div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="comment">// add a ConvertFloat32ToFloat16 layer after each of the outputs</span></div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordflow">if</span> (layer.<a class="code" href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  {</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <a class="code" href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3">InsertConvertFp32ToFp16LayersAfter</a>(graph, layer);</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  }</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  }</div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  {</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="comment">// For DetectionPostProcess Layer output is always Float32 regardless of input type</span></div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& connectedLayer = layer.<a class="code" href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>()[0].GetConnectedOutputSlot()->GetOwningLayer();</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">if</span> (connectedLayer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>)</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="comment">// if the inputs of this layer are DataType::Float32</span></div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="comment">// add a ConvertFloat16ToFloat32 layer before each of the inputs</span></div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">if</span> (layer.<a class="code" href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// NOTE: We need to call InsertConvertFp16ToFp32LayersBefore with expectCorrectInputType = false</span></div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="comment">// here, otherwise it will expect the inputs to be DataType::Float16</span></div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb">InsertConvertFp16ToFp32LayersBefore</a>(graph, layer, <span class="keyword">false</span>);</div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  }</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">LayerType::ConvertFp32ToFp16</a> && layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">LayerType::ConvertFp16ToFp32</a>)</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// if the inputs/outputs of this layer are DataType::Float32</span></div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">// change the data type for all inputs and outputs to DataType::Float16</span></div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& input = layer.<a class="code" href="classarmnn_1_1_layer.html#af6cb8de21ef0da269ec9b67755ae92a0">BeginInputSlots</a>(); input != layer.<a class="code" href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">EndInputSlots</a>(); ++input)</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">// if it is connected to OutputSlot of the InputLayer do not change the DataType of connection</span></div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// InputSlots of the current layer will be updated when conversion layer is inserted after InputLayer</span></div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& base = input->GetConnectedOutputSlot()->GetOwningLayer();</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</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>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> convertInfo = input->GetConnection()->GetTensorInfo();</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">if</span> (convertInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  {</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  convertInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>);</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  input->GetConnection()->SetTensorInfo(convertInfo);</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>  </div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// For DetectionPostProcess Layer output is always Float32 regardless of input type</span></div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">if</span> (layer.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() != <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">LayerType::DetectionPostProcess</a>)</div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// change outputs to DataType::Float16</span></div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& output = layer.<a class="code" href="classarmnn_1_1_layer.html#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a>(); output != layer.<a class="code" href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">EndOutputSlots</a>(); ++output)</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> convertInfo = output->GetTensorInfo();</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">if</span> (convertInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  {</div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  convertInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>);</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  output->SetTensorInfo(convertInfo);</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>  }</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>  }</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  </div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keyword">protected</span>:</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html#a8c54552a0f174237e8c7edeb7daf2684">ConvertFp32NetworkToFp16Impl</a>() = <span class="keywordflow">default</span>;</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html#a2b3e400ddbdb7b3f846b47bb535dfd97">~ConvertFp32NetworkToFp16Impl</a>() = <span class="keywordflow">default</span>;</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> };</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div> +<div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="namespacearmnn_1_1optimizations.html#a86d19da62b6cfed3928f6fe7026f22fa"> 87</a></span> <span class="keyword">using</span> <a class="code" href="classarmnn_1_1_optimize_for_type.html">Fp32NetworkToFp16Converter</a> = <a class="code" href="classarmnn_1_1_optimize_for_type.html">OptimizeForType<Layer, ConvertFp32NetworkToFp16Impl></a>;</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  </div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> } <span class="comment">// namespace optimizations</span></div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> } <span class="comment">// namespace armnn</span></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="anamespacearmnn_html_ad31c56533e4f9f9f51719599fbfcf7bb"><div class="ttname"><a href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb">armnn::InsertConvertFp16ToFp32LayersBefore</a></div><div class="ttdeci">std::vector< ConvertFp16ToFp32Layer * > InsertConvertFp16ToFp32LayersBefore(Graph &graph, Layer &layer, bool expectCorrectInputType)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.html#l00040">NetworkUtils.cpp:40</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a912a4b4d73726c282e3f79aa2c390d6c">armnn::LayerType::ConvertFp16ToFp32</a></div><div class="ttdeci">@ ConvertFp16ToFp32</div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a71975fcec1464d639f1a78f73164d1bd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">armnn::TensorInfo::SetDataType</a></div><div class="ttdeci">void SetDataType(DataType type)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00199">Tensor.hpp:199</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div> +<div class="ttc" id="a_network_utils_8hpp_html"><div class="ttname"><a href="_network_utils_8hpp.html">NetworkUtils.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_af5f530544d09a44d726f24702b67b35b"><div class="ttname"><a href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">armnn::Layer::GetInputSlots</a></div><div class="ttdeci">const std::vector< InputSlot > & GetInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00258">Layer.hpp:258</a></div></div> +<div class="ttc" id="a_optimization_8hpp_html"><div class="ttname"><a href="_optimization_8hpp.html">Optimization.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div> +<div class="ttc" id="aclassarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl_html_aaa2a4663cec52a8aa89a93c7c8317183"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html#aaa2a4663cec52a8aa89a93c7c8317183">armnn::optimizations::ConvertFp32NetworkToFp16Impl::Run</a></div><div class="ttdeci">void Run(Graph &graph, Layer &layer) const</div><div class="ttdef"><b>Definition:</b> <a href="_convert_fp32_network_to_fp16_8hpp_source.html#l00018">ConvertFp32NetworkToFp16.hpp:18</a></div></div> +<div class="ttc" id="anamespacearmnn_html_abf625e50a5eaeafce5b39580dc95a9d3"><div class="ttname"><a href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3">armnn::InsertConvertFp32ToFp16LayersAfter</a></div><div class="ttdeci">std::vector< ConvertFp32ToFp16Layer * > InsertConvertFp32ToFp16LayersAfter(Graph &graph, Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.html#l00079">NetworkUtils.cpp:79</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_a9752e12d6b79e18da1a25f76159d2a72"><div class="ttname"><a href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">armnn::Layer::EndInputSlots</a></div><div class="ttdeci">std::vector< InputSlot >::iterator EndInputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00263">Layer.hpp:263</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_af6cb8de21ef0da269ec9b67755ae92a0"><div class="ttname"><a href="classarmnn_1_1_layer.html#af6cb8de21ef0da269ec9b67755ae92a0">armnn::Layer::BeginInputSlots</a></div><div class="ttdeci">std::vector< InputSlot >::iterator BeginInputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00262">Layer.hpp:262</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1db19222ac424bd7162142ddf929fd2a">armnn::LayerType::DetectionPostProcess</a></div><div class="ttdeci">@ DetectionPostProcess</div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_optimize_for_type_html"><div class="ttname"><a href="classarmnn_1_1_optimize_for_type.html">armnn::OptimizeForType</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.html#l00067">Optimization.hpp:67</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3">armnn::Layer::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00326">Layer.cpp:326</a></div></div> +<div class="ttc" id="aclassarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl_html"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html">armnn::optimizations::ConvertFp32NetworkToFp16Impl</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_fp32_network_to_fp16_8hpp_source.html#l00015">ConvertFp32NetworkToFp16.hpp:15</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00286">Layer.hpp:286</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_a817d4be6dd88f532d36f51748ec14185"><div class="ttname"><a href="classarmnn_1_1_layer.html#a817d4be6dd88f532d36f51748ec14185">armnn::Layer::BeginOutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot >::iterator BeginOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00266">Layer.hpp:266</a></div></div> +<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div> +<div class="ttc" id="aclassarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl_html_a8c54552a0f174237e8c7edeb7daf2684"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html#a8c54552a0f174237e8c7edeb7daf2684">armnn::optimizations::ConvertFp32NetworkToFp16Impl::ConvertFp32NetworkToFp16Impl</a></div><div class="ttdeci">ConvertFp32NetworkToFp16Impl()=default</div></div> +<div class="ttc" id="aclassarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl_html_a2b3e400ddbdb7b3f846b47bb535dfd97"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_convert_fp32_network_to_fp16_impl.html#a2b3e400ddbdb7b3f846b47bb535dfd97">armnn::optimizations::ConvertFp32NetworkToFp16Impl::~ConvertFp32NetworkToFp16Impl</a></div><div class="ttdeci">~ConvertFp32NetworkToFp16Impl()=default</div></div> +<div class="ttc" id="aclassarmnn_1_1_layer_html_a55f76d98fcd2f5cdac3e2b14536cb7ab"><div class="ttname"><a href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">armnn::Layer::EndOutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot >::iterator EndOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00267">Layer.hpp:267</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.html">armnn</a></li><li class="navelem"><a class="el" href="dir_5bee762cfd03f62aa80233ed05f1bfdf.html">optimizations</a></li><li class="navelem"><a class="el" href="_convert_fp32_network_to_fp16_8hpp.html">ConvertFp32NetworkToFp16.hpp</a></li> + <li class="footer">Generated on Tue Aug 22 2023 11:36:58 for Arm NN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> + </ul> +</div> +</body> +</html> |