diff options
| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-06-17 13:24:58 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-06-17 13:24:58 +0100 |
| commit | d5d43d82c0137e08553e44345c609cdd1a7931c7 (patch) | |
| tree | f1509f7fa94db0373a2c127682dd3d0ccc1915bd /22.05.01/_lstm_parameters_8hpp_source.xhtml | |
| parent | 549b9600a6eaf0727fa084465a75f173edf8f381 (diff) | |
| download | armnn-d5d43d82c0137e08553e44345c609cdd1a7931c7.tar.gz | |
Update Doxygen for 22.05 patch release
* Pooling3D added to tfLite delegate
* Available in tag 22.05.01
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8d605bba4e87d30baa2c6d7b338c78a4400dc021
Diffstat (limited to '22.05.01/_lstm_parameters_8hpp_source.xhtml')
| -rw-r--r-- | 22.05.01/_lstm_parameters_8hpp_source.xhtml | 141 |
1 files changed, 141 insertions, 0 deletions
diff --git a/22.05.01/_lstm_parameters_8hpp_source.xhtml b/22.05.01/_lstm_parameters_8hpp_source.xhtml new file mode 100644 index 0000000000..5d1b6213b1 --- /dev/null +++ b/22.05.01/_lstm_parameters_8hpp_source.xhtml @@ -0,0 +1,141 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/armnn/layers/LstmParameters.hpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.05.01</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_lstm_parameters_8hpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">LstmParameters.hpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_lstm_parameters_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 © 2021 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <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="_layer_with_parameters_8hpp.xhtml">LayerWithParameters.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> {</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">class </span>ScopedTensorHandle;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml"> 14</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml">LstmOptLayerNormParameters</a></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {<span class="comment"></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a47786528c742271a3937535426934219"> 17</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a47786528c742271a3937535426934219">m_InputLayerNormWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#af03d5f9789e673011a9fa19a699530db"> 19</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#af03d5f9789e673011a9fa19a699530db">m_ForgetLayerNormWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a1f9668b1a4c275966aadeec9a4c11347"> 21</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a1f9668b1a4c275966aadeec9a4c11347">m_CellLayerNormWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a9c441c2706cbd0e925c02cdcb8916669"> 23</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a9c441c2706cbd0e925c02cdcb8916669">m_OutputLayerNormWeights</a>;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> };</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml"> 26</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml">LstmOptCifgParameters</a></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> {<span class="comment"></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</span></div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a281954ff495d27f7a29e42a98768c670"> 29</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</span></div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c"> 31</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c"> 33</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</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> </div><div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml"> 36</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml">LstmOptProjectionParameters</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> {<span class="comment"></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].</span></div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#aa8f5cf5d5130fefb77d2327dca341591"> 39</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#aa8f5cf5d5130fefb77d2327dca341591">m_ProjectionWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [output_size].</span></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#aa840abfe1cb869bce3d6daaebd2e86a7"> 41</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#aa840abfe1cb869bce3d6daaebd2e86a7">m_ProjectionBias</a>;</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"><a class="line" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml"> 44</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml">LstmOptPeepholeParameters</a></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {<span class="comment"></span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a9eb0e6bb91acbf59117a1460ce1dfd29"> 47</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a9eb0e6bb91acbf59117a1460ce1dfd29">m_CellToInputWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a0ccce0cf0ae71e89b20dfa48645494c8"> 49</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a0ccce0cf0ae71e89b20dfa48645494c8">m_CellToForgetWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#aeff3e3b8715c568fdff74a25ec40facb"> 51</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#aeff3e3b8715c568fdff74a25ec40facb">m_CellToOutputWeights</a>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> };</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml"> 54</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml">LstmBasicParameters</a></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> {<span class="comment"></span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</span></div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef"> 57</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</span></div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#ad3f42762262330534a4be0dde29a1318"> 59</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</span></div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e"> 61</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].</span></div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a1dd41cd674924907643cb088070a65d3"> 63</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].</span></div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b"> 65</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units].</span></div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#addad136e04521a1d31cbebf7280c312e"> 67</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be"> 69</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>;<span class="comment"></span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a21a90800797f1e122bc44d7022001558"> 71</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a>;<span class="comment"></span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"> /// A unique pointer to represent 1D weights tensor with dimensions [num_units].</span></div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3"> 73</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_lstm_basic_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> };</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> } <span class="comment">// namespace</span></div><div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_af7f44bcc5b6cf669268a9ac0ff1446be"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">armnn::LstmBasicParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ForgetGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00069">LstmParameters.hpp:69</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a950c538e326db48f4c26a354c2b982e3"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">armnn::LstmBasicParameters::m_OutputGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_OutputGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00073">LstmParameters.hpp:73</a></div></div> +<div class="ttc" id="_layer_with_parameters_8hpp_xhtml"><div class="ttname"><a href="_layer_with_parameters_8hpp.xhtml">LayerWithParameters.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_layer_norm_parameters_xhtml_a9c441c2706cbd0e925c02cdcb8916669"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a9c441c2706cbd0e925c02cdcb8916669">armnn::LstmOptLayerNormParameters::m_OutputLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_OutputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00023">LstmParameters.hpp:23</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_peephole_parameters_xhtml_a0ccce0cf0ae71e89b20dfa48645494c8"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a0ccce0cf0ae71e89b20dfa48645494c8">armnn::LstmOptPeepholeParameters::m_CellToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellToForgetWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00049">LstmParameters.hpp:49</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_layer_norm_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml">armnn::LstmOptLayerNormParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00014">LstmParameters.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_layer_norm_parameters_xhtml_a47786528c742271a3937535426934219"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a47786528c742271a3937535426934219">armnn::LstmOptLayerNormParameters::m_InputLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00017">LstmParameters.hpp:17</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_cifg_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml">armnn::LstmOptCifgParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00026">LstmParameters.hpp:26</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_projection_parameters_xhtml_aa8f5cf5d5130fefb77d2327dca341591"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#aa8f5cf5d5130fefb77d2327dca341591">armnn::LstmOptProjectionParameters::m_ProjectionWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ProjectionWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00039">LstmParameters.hpp:39</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="structarmnn_1_1_lstm_basic_parameters_xhtml_ad3f42762262330534a4be0dde29a1318"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">armnn::LstmBasicParameters::m_InputToCellWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00059">LstmParameters.hpp:59</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_peephole_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml">armnn::LstmOptPeepholeParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00044">LstmParameters.hpp:44</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_cifg_parameters_xhtml_a85684ffb2d12d0d04fbd188591488a2c"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">armnn::LstmOptCifgParameters::m_InputGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputGateBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00033">LstmParameters.hpp:33</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_peephole_parameters_xhtml_aeff3e3b8715c568fdff74a25ec40facb"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#aeff3e3b8715c568fdff74a25ec40facb">armnn::LstmOptPeepholeParameters::m_CellToOutputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellToOutputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00051">LstmParameters.hpp:51</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a608ed1a3d4135921ce33a286a87a072b"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">armnn::LstmBasicParameters::m_RecurrentToCellWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToCellWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00065">LstmParameters.hpp:65</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a21a90800797f1e122bc44d7022001558"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a21a90800797f1e122bc44d7022001558">armnn::LstmBasicParameters::m_CellBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00071">LstmParameters.hpp:71</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_cifg_parameters_xhtml_addfb6b081817510deb924c8fb5ce216c"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">armnn::LstmOptCifgParameters::m_RecurrentToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00031">LstmParameters.hpp:31</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_layer_norm_parameters_xhtml_a1f9668b1a4c275966aadeec9a4c11347"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#a1f9668b1a4c275966aadeec9a4c11347">armnn::LstmOptLayerNormParameters::m_CellLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00021">LstmParameters.hpp:21</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_addad136e04521a1d31cbebf7280c312e"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">armnn::LstmBasicParameters::m_RecurrentToOutputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00067">LstmParameters.hpp:67</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_cifg_parameters_xhtml_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_cifg_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">armnn::LstmOptCifgParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00029">LstmParameters.hpp:29</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_projection_parameters_xhtml_aa840abfe1cb869bce3d6daaebd2e86a7"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml#aa840abfe1cb869bce3d6daaebd2e86a7">armnn::LstmOptProjectionParameters::m_ProjectionBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ProjectionBias</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [output_size]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00041">LstmParameters.hpp:41</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">armnn::LstmBasicParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00057">LstmParameters.hpp:57</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a1dd41cd674924907643cb088070a65d3"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">armnn::LstmBasicParameters::m_RecurrentToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_RecurrentToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [output_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00063">LstmParameters.hpp:63</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_layer_norm_parameters_xhtml_af03d5f9789e673011a9fa19a699530db"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_layer_norm_parameters.xhtml#af03d5f9789e673011a9fa19a699530db">armnn::LstmOptLayerNormParameters::m_ForgetLayerNormWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ForgetLayerNormWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00019">LstmParameters.hpp:19</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_peephole_parameters_xhtml_a9eb0e6bb91acbf59117a1460ce1dfd29"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_peephole_parameters.xhtml#a9eb0e6bb91acbf59117a1460ce1dfd29">armnn::LstmOptPeepholeParameters::m_CellToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellToInputWeights</div><div class="ttdoc">A unique pointer to represent 1D weights tensor with dimensions [num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00047">LstmParameters.hpp:47</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml">armnn::LstmBasicParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00054">LstmParameters.hpp:54</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_opt_projection_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_opt_projection_parameters.xhtml">armnn::LstmOptProjectionParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00036">LstmParameters.hpp:36</a></div></div> +<div class="ttc" id="structarmnn_1_1_lstm_basic_parameters_xhtml_a3d4f6f42e10ba6f808a5244bb7853e7e"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">armnn::LstmBasicParameters::m_InputToOutputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToOutputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units]. </div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.xhtml#l00061">LstmParameters.hpp:61</a></div></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="dir_9da6642ce0fd5a8c83524f1b621275be.xhtml">layers</a></li><li class="navelem"><a class="el" href="_lstm_parameters_8hpp.xhtml">LstmParameters.hpp</a></li> + <li class="footer">Generated on Fri Jun 17 2022 13:19:42 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |