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| author | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2021-11-17 13:16:45 +0000 |
| commit | 9aed8fb43441228343b925b42464a55042c47ca0 (patch) | |
| tree | 4c34534eea1c8e82655ac1f60e3633b9618cc40d /21.11/_quantized_lstm_layer_8cpp_source.xhtml | |
| parent | f86be93b7492b381370cae7bf71eca8572a0cbae (diff) | |
| download | armnn-9aed8fb43441228343b925b42464a55042c47ca0.tar.gz | |
IVGCVSW-6040 Update 21.11 Doxygen Documents
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: Ia36ec98c4bebc27a69103911ea3409cd7db587a5
Diffstat (limited to '21.11/_quantized_lstm_layer_8cpp_source.xhtml')
| -rw-r--r-- | 21.11/_quantized_lstm_layer_8cpp_source.xhtml | 202 |
1 files changed, 202 insertions, 0 deletions
diff --git a/21.11/_quantized_lstm_layer_8cpp_source.xhtml b/21.11/_quantized_lstm_layer_8cpp_source.xhtml new file mode 100644 index 0000000000..0d95c782f1 --- /dev/null +++ b/21.11/_quantized_lstm_layer_8cpp_source.xhtml @@ -0,0 +1,202 @@ +<!-- 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/QuantizedLstmLayer.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">21.11</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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('_quantized_lstm_layer_8cpp_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">QuantizedLstmLayer.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_quantized_lstm_layer_8cpp.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 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">#include "<a class="code" href="_quantized_lstm_layer_8hpp.xhtml">QuantizedLstmLayer.hpp</a>"</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_clone_base_8hpp.xhtml">LayerCloneBase.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="preprocessor">#include <<a class="code" href="_quantized_lstm_params_8hpp.xhtml">armnn/QuantizedLstmParams.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_tensor_handle_8hpp.xhtml">backendsCommon/TensorHandle.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.xhtml">backendsCommon/WorkloadFactory.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="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></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> </div><div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a1e8a4f8777390120259787caa45d743a"> 17</a></span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a1e8a4f8777390120259787caa45d743a">QuantizedLstmLayer::QuantizedLstmLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  : <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>(3, 2, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">QuantizedLstm</a>, name)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> }</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7"> 22</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">QuantizedLstmLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>& factory)<span class="keyword"> const</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword"></span>{</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">QuantizedLstmQueueDescriptor</a> descriptor;</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>  <span class="comment">// QuantizedLstmLayer parameters - there are no optional params</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#ab160eba2493d5fe52185c0986dcb190c">m_InputToInputWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>.get();</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aab77f54a037658ca9b2bf9cc8a1fadf1">m_InputToForgetWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>.get();</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a841439e3b8dc157a7368b19c9ecb7d03">m_InputToCellWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>.get();</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a17ba1c8bcc71a55a95b2a3913f8cb203">m_InputToOutputWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>.get();</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a299587d4f3fca029492700f3e2585bd8">m_RecurrentToInputWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>.get();</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#adf8571dd1867ee91082bd005f94f2610">m_RecurrentToForgetWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>.get();</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#ac18c8b8b2039267d8282e91b4162d8aa">m_RecurrentToCellWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>.get();</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a4c27716f61bb68e8ea0bd4e8389ba01a">m_RecurrentToOutputWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>.get();</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a44eb7524badcca9b2073359e3814c98b">m_InputGateBias</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>.get();</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a29fa293fffbf9c6f00cd75db1dc0a52a">m_ForgetGateBias</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>.get();</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a6e9593869b82984de198fed27f72cdcf">m_CellBias</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a>.get();</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  descriptor.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a5ff4158b1b363b898d0da04c42d37ce0">m_OutputGateBias</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>.get();</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>  <a class="code" href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</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>  <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ab5ceda49651dcd53fb7eb05658b5a0cb">CreateQuantizedLstm</a>(descriptor, <a class="code" href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> }</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a08edea9423b6da5da174ce5269f6e28b"> 47</a></span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a>* <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a08edea9423b6da5da174ce5269f6e28b">QuantizedLstmLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph)<span class="keyword"> const</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword"></span>{</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">auto</span> layer = CloneBase<QuantizedLstmLayer>(graph, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</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>  layer-><a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> ?</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  layer->m_QuantizedLstmParameters.m_InputToForgetWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> ?</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  layer->m_QuantizedLstmParameters.m_InputToCellWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> ?</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  layer->m_QuantizedLstmParameters.m_InputToOutputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> ?</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> : <span class="keyword">nullptr</span>;</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>  layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> ?</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  ? <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> ?</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  ? <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  layer->m_QuantizedLstmParameters.m_InputGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> ?</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  layer->m_QuantizedLstmParameters.m_ForgetGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> ?</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  layer->m_QuantizedLstmParameters.m_CellBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a> ?</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a> : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  layer->m_QuantizedLstmParameters.m_OutputGateBias = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> ?</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> : <span class="keyword">nullptr</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>  <span class="keywordflow">return</span> std::move(layer);</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"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a65ca562c882ad619684445a1402f415a"> 81</a></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a65ca562c882ad619684445a1402f415a">QuantizedLstmLayer::InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes)<span class="keyword"> const</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keyword"></span>{</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inputShapes.size() == 3);</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="comment">// Get input values for validation</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numBatches = inputShapes[0][0];</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSize = inputShapes[1][1];</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>  std::vector<TensorShape> outShapes;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  outShapes.push_back(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>({numBatches, outputSize})); <span class="comment">// cellStateOut</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  outShapes.push_back(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>({numBatches, outputSize})); <span class="comment">// output</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> outShapes;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a8c8f543d7e9729362c266d12ec169966"> 96</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">QuantizedLstmLayer::ValidateTensorShapesFromInputs</a>()</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(3, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& outputShape = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(</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>  <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <span class="comment">// input</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <span class="comment">// previousCellStateIn</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(2).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() <span class="comment">// previousOutputIn</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  });</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>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 2);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Check weights and bias for nullptr</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_InputToInputWeights should not be null."</span>);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_InputToForgetWeights should not be null."</span>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_InputToCellWeights should not be null."</span>);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_InputToOutputWeights should not be null."</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>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_RecurrentToInputWeights should not be null."</span>);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_RecurrentToForgetWeights should not be null."</span>);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_RecurrentToCellWeights should not be null."</span>);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_RecurrentToOutputWeights should not be null."</span>);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_InputGateBias should not be null."</span>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_ForgetGateBias should not be null."</span>);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_CellBias should not be null."</span>);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="stringliteral">"QuantizedLstmLayer: m_QuantizedLstmParameters.m_OutputGateBias should not be null."</span>);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// Check output TensorShape(s) match inferred shape</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"QuantizedLstmLayer"</span>);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(<a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(1).<a class="code" href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">GetTensorInfo</a>().GetShape(),</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  inferredShapes[1],</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="stringliteral">"QuantizedLstmLayer"</span>,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  1);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a"> 151</a></span> <a class="code" href="classarmnn_1_1_layer.xhtml#af978f897fb7e115a901cb7ed95f8e532">Layer::ConstantTensors</a> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">QuantizedLstmLayer::GetConstantTensorsByRef</a>()</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> {</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a>,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  };</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> }</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <a class="code" href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a5c0289829d87ee65f7bba2a8c3839370"> 173</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a5c0289829d87ee65f7bba2a8c3839370">QuantizedLstmLayer::Accept</a>(ILayerVisitor& visitor)<span class="keyword"> const</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="keyword"></span>{</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml">QuantizedLstmInputParams</a> inputParams;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedInputToInputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedInputToForgetWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedInputToCellWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedInputToOutputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedRecurrentToInputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedRecurrentToForgetWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedRecurrentToCellWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedRecurrentToOutputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedInputGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedForgetGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedCellBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a>);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedOutputGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// InputToX weight tensors</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> inputToInputWeightsTensor;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  {</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> inputToInputWeightsTensorCopy(managedInputToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  managedInputToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  inputToInputWeightsTensor = inputToInputWeightsTensorCopy;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> = &inputToInputWeightsTensor;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  }</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> inputToForgetWeightsTensor;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  {</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> inputToForgetWeightsTensorCopy(managedInputToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  managedInputToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  inputToForgetWeightsTensor = inputToForgetWeightsTensorCopy;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a> = &inputToForgetWeightsTensor;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> inputToCellWeightsTensor;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> inputToCellWeightsTensorCopy(managedInputToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  managedInputToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  inputToCellWeightsTensor = inputToCellWeightsTensorCopy;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a> = &inputToCellWeightsTensor;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> inputToOutputWeightsTensor;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> inputToOutputWeightsTensorCopy(managedInputToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  managedInputToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  inputToOutputWeightsTensor = inputToOutputWeightsTensorCopy;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a> = &inputToOutputWeightsTensor;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  }</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="comment">// RecurrentToX weight tensors</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> recurrentToInputWeightsTensor;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  {</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> recurrentToInputWeightsTensorCopy(</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  managedRecurrentToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  managedRecurrentToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  recurrentToInputWeightsTensor = recurrentToInputWeightsTensorCopy;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> = &recurrentToInputWeightsTensor;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  }</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> recurrentToForgetWeightsTensor;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> recurrentToForgetWeightsTensorCopy(</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  managedRecurrentToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  managedRecurrentToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  recurrentToForgetWeightsTensor = recurrentToForgetWeightsTensorCopy;</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a> = &recurrentToForgetWeightsTensor;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> recurrentToCellWeightsTensor;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> recurrentToCellWeightsTensorCopy(</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  managedRecurrentToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  managedRecurrentToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  recurrentToCellWeightsTensor = recurrentToCellWeightsTensorCopy;</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a> = &recurrentToCellWeightsTensor;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> recurrentToOutputWeightsTensor;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> recurrentToOutputWeightsTensorCopy(</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  managedRecurrentToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  managedRecurrentToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  recurrentToOutputWeightsTensor = recurrentToOutputWeightsTensorCopy;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a> = &recurrentToOutputWeightsTensor;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="comment">// Bias tensors</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> inputGateBiasTensor;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  {</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> inputGateBiasTensorCopy(managedInputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  managedInputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  inputGateBiasTensor = inputGateBiasTensorCopy;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> = &inputGateBiasTensor;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  }</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> </div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> forgetGateBiasTensor;</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  {</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> forgetGateBiasTensorCopy(managedForgetGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  managedForgetGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  forgetGateBiasTensor = forgetGateBiasTensorCopy;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a> = &forgetGateBiasTensor;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> cellBiasTensor;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  {</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> cellBiasTensorCopy(managedCellBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  managedCellBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  cellBiasTensor = cellBiasTensorCopy;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a> = &cellBiasTensor;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> outputGateBiasTensor;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  {</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> outputGateBiasCopy(managedOutputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  managedOutputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>());</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  outputGateBiasTensor = outputGateBiasCopy;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  inputParams.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a> = &outputGateBiasTensor;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  visitor.VisitQuantizedLstmLayer(<span class="keyword">this</span>, inputParams, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> }</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <a class="code" href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#aa8678fecd6d84054895c67b8cf075daf"> 311</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#aa8678fecd6d84054895c67b8cf075daf">QuantizedLstmLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>& strategy)<span class="keyword"> const</span></div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="keyword"></span>{</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  std::vector<ConstTensor> constTensors;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedInputToInputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>);</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedInputToForgetWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedInputToCellWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedInputToOutputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedRecurrentToInputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>);</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedRecurrentToForgetWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedRecurrentToCellWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>);</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedRecurrentToOutputWeights(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> </div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedInputGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>);</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedForgetGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedCellBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a>);</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml">ManagedConstTensorHandle</a> managedOutputGateBias(<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="comment">// InputToX weight tensors</span></div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  {</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(managedInputToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  managedInputToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  }</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> </div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  {</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(managedInputToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  managedInputToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  }</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(managedInputToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  managedInputToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  }</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  {</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(managedInputToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  managedInputToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  }</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="comment">// RecurrentToX weight tensors</span></div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  managedRecurrentToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  managedRecurrentToInputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  managedRecurrentToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  managedRecurrentToForgetWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  }</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  {</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  managedRecurrentToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  managedRecurrentToCellWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  }</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  managedRecurrentToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  managedRecurrentToOutputWeights.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  }</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="comment">// Bias tensors</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  {</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(managedInputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  managedInputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  }</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> </div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(managedForgetGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  managedForgetGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  {</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(managedCellBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  managedCellBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a> != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  {</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(managedOutputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  managedOutputGateBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">Map</a>()));</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  }</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> </div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>(), constTensors, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> }</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> </div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml_abe659a5afa7523f5dbc04bcba9b31f1a"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">armnn::QuantizedLstmLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">Layer::ConstantTensors GetConstantTensorsByRef() override</div><div class="ttdoc">Retrieve the handles to the constant values stored by the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.xhtml#l00151">QuantizedLstmLayer.cpp:151</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_af7f44bcc5b6cf669268a9ac0ff1446be"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">armnn::QuantizedLstmParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_ForgetGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00037">QuantizedLstmLayer.hpp:37</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a49e11acda22742cbaf6f1b259ead0d84"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a49e11acda22742cbaf6f1b259ead0d84">armnn::QuantizedLstmInputParams::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00035">QuantizedLstmParams.hpp:35</a></div></div> +<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml_ad3c37b52145c3cf1b4856c0df008a468"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">armnn::QuantizedLstmLayer::m_QuantizedLstmParameters</a></div><div class="ttdeci">QuantizedLstmParameters m_QuantizedLstmParameters</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00049">QuantizedLstmLayer.hpp:49</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a4a9d678146f572808a361dbdc5489f38"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a4a9d678146f572808a361dbdc5489f38">armnn::QuantizedLstmInputParams::m_CellBias</a></div><div class="ttdeci">const ConstTensor * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00045">QuantizedLstmParams.hpp:45</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a56b81ca8ba4b4937e0787e4951f043fc"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a56b81ca8ba4b4937e0787e4951f043fc">armnn::QuantizedLstmInputParams::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00041">QuantizedLstmParams.hpp:41</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">armnn::QuantizedLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00632">WorkloadData.hpp:632</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="structarmnn_1_1_quantized_lstm_parameters_xhtml_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">armnn::QuantizedLstmParameters::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 [outputSize, inputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00019">QuantizedLstmLayer.hpp:19</a></div></div> +<div class="ttc" id="_deprecated_8hpp_xhtml_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_BEGIN</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00033">Deprecated.hpp:33</a></div></div> +<div class="ttc" id="_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_ae83131e16df1cace69395a5f99bc5ecb"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#ae83131e16df1cace69395a5f99bc5ecb">armnn::QuantizedLstmInputParams::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00039">QuantizedLstmParams.hpp:39</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a85684ffb2d12d0d04fbd188591488a2c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">armnn::QuantizedLstmParameters::m_InputGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00035">QuantizedLstmLayer.hpp:35</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div> +<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml_a08edea9423b6da5da174ce5269f6e28b"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#a08edea9423b6da5da174ce5269f6e28b">armnn::QuantizedLstmLayer::Clone</a></div><div class="ttdeci">QuantizedLstmLayer * Clone(Graph &graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.xhtml#l00047">QuantizedLstmLayer.cpp:47</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_ace7a1f1f1041b412b7d8ef82b95ff352"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#ace7a1f1f1041b412b7d8ef82b95ff352">armnn::QuantizedLstmInputParams::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensor * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00044">QuantizedLstmParams.hpp:44</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml_aad5bb4d8050fd428ff03ae6d81e3014c"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const armnn::IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div> +<div class="ttc" id="_quantized_lstm_params_8hpp_xhtml"><div class="ttname"><a href="_quantized_lstm_params_8hpp.xhtml">QuantizedLstmParams.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ab5ceda49651dcd53fb7eb05658b5a0cb"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ab5ceda49651dcd53fb7eb05658b5a0cb">armnn::IWorkloadFactory::CreateQuantizedLstm</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateQuantizedLstm(const QuantizedLstmQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01808">WorkloadFactory.cpp:1808</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a9e081a9b94defb30d1558dc912507e0e"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a9e081a9b94defb30d1558dc912507e0e">armnn::QuantizedLstmInputParams::m_InputGateBias</a></div><div class="ttdeci">const ConstTensor * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00043">QuantizedLstmParams.hpp:43</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a44eb7524badcca9b2073359e3814c98b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a44eb7524badcca9b2073359e3814c98b">armnn::QuantizedLstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00661">WorkloadData.hpp:661</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00433">Layer.cpp:433</a></div></div> +<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">armnn::QuantizedLstmLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of QuantizedLstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.xhtml#l00096">QuantizedLstmLayer.cpp:96</a></div></div> +<div class="ttc" id="classarmnn_1_1_managed_const_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::ManagedConstTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.xhtml#l00230">TensorHandle.hpp:230</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_quantized_lstm_input_params_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml">armnn::QuantizedLstmInputParams</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00013">QuantizedLstmParams.hpp:13</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a3d4f6f42e10ba6f808a5244bb7853e7e"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">armnn::QuantizedLstmParameters::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 [outputSize, inputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00023">QuantizedLstmLayer.hpp:23</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00199">Layer.hpp:199</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a299587d4f3fca029492700f3e2585bd8"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a299587d4f3fca029492700f3e2585bd8">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00656">WorkloadData.hpp:656</a></div></div> +<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml_a1e8a4f8777390120259787caa45d743a"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#a1e8a4f8777390120259787caa45d743a">armnn::QuantizedLstmLayer::QuantizedLstmLayer</a></div><div class="ttdeci">QuantizedLstmLayer(const char *name)</div><div class="ttdoc">Constructor to create a QuantizedLstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.xhtml#l00017">QuantizedLstmLayer.cpp:17</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a21a90800797f1e122bc44d7022001558"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">armnn::QuantizedLstmParameters::m_CellBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_CellBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00039">QuantizedLstmLayer.hpp:39</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00393">Layer.cpp:393</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_addad136e04521a1d31cbebf7280c312e"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">armnn::QuantizedLstmParameters::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 [outputSize, outputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00032">QuantizedLstmLayer.hpp:32</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_addfb6b081817510deb924c8fb5ce216c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">armnn::QuantizedLstmParameters::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 [outputSize, outputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00026">QuantizedLstmLayer.hpp:26</a></div></div> +<div class="ttc" id="structarmnn_1_1_base_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00022">Descriptors.hpp:22</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_affcee5f4ab5994a21bee3b78b4e43de3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#affcee5f4ab5994a21bee3b78b4e43de3">armnn::QuantizedLstmInputParams::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00033">QuantizedLstmParams.hpp:33</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.xhtml#l00013">IStrategy.hpp:13</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00349">Layer.cpp:349</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_ad3f42762262330534a4be0dde29a1318"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">armnn::QuantizedLstmParameters::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 [outputSize, inputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00021">QuantizedLstmLayer.hpp:21</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00316">Layer.hpp:316</a></div></div> +<div class="ttc" id="_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_aab77f54a037658ca9b2bf9cc8a1fadf1"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aab77f54a037658ca9b2bf9cc8a1fadf1">armnn::QuantizedLstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00652">WorkloadData.hpp:652</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_af978f897fb7e115a901cb7ed95f8e532"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af978f897fb7e115a901cb7ed95f8e532">armnn::Layer::ConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >> ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00393">Layer.hpp:393</a></div></div> +<div class="ttc" id="_deprecated_8hpp_xhtml_ad762b11b48e5c1d1c1743f529485728a"><div class="ttname"><a href="_deprecated_8hpp.xhtml#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_END</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.xhtml#l00034">Deprecated.hpp:34</a></div></div> +<div class="ttc" id="_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div> +<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml">armnn::QuantizedLstmLayer</a></div><div class="ttdoc">This layer represents a QuantizedLstm operation. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00045">QuantizedLstmLayer.hpp:45</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">armnn::Layer::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *LayerCreateWorkload. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00381">Layer.hpp:381</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a31da1ead6794dd64571afdd0b6efc771"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a31da1ead6794dd64571afdd0b6efc771">armnn::QuantizedLstmInputParams::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00034">QuantizedLstmParams.hpp:34</a></div></div> +<div class="ttc" id="_quantized_lstm_layer_8hpp_xhtml"><div class="ttname"><a href="_quantized_lstm_layer_8hpp.xhtml">QuantizedLstmLayer.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_ac18c8b8b2039267d8282e91b4162d8aa"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#ac18c8b8b2039267d8282e91b4162d8aa">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00658">WorkloadData.hpp:658</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00327">Tensor.hpp:327</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a29fa293fffbf9c6f00cd75db1dc0a52a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a29fa293fffbf9c6f00cd75db1dc0a52a">armnn::QuantizedLstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00662">WorkloadData.hpp:662</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a8c0f6d48705f40c5590dde09be262222"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a8c0f6d48705f40c5590dde09be262222">armnn::QuantizedLstmInputParams::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensor * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00046">QuantizedLstmParams.hpp:46</a></div></div> +<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a4c27716f61bb68e8ea0bd4e8389ba01a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a4c27716f61bb68e8ea0bd4e8389ba01a">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00659">WorkloadData.hpp:659</a></div></div> +<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::QuantizedLstmLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override</div><div class="ttdoc">Makes a workload for the QuantizedLstm type. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.xhtml#l00022">QuantizedLstmLayer.cpp:22</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a5ff4158b1b363b898d0da04c42d37ce0"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a5ff4158b1b363b898d0da04c42d37ce0">armnn::QuantizedLstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00664">WorkloadData.hpp:664</a></div></div> +<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00209">Exceptions.hpp:209</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_adf8571dd1867ee91082bd005f94f2610"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#adf8571dd1867ee91082bd005f94f2610">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00657">WorkloadData.hpp:657</a></div></div> +<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00030">Graph.hpp:30</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a435d3651482bbfcc11263b4e4e0c900f"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a435d3651482bbfcc11263b4e4e0c900f">armnn::QuantizedLstmInputParams::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00038">QuantizedLstmParams.hpp:38</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a950c538e326db48f4c26a354c2b982e3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">armnn::QuantizedLstmParameters::m_OutputGateBias</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_OutputGateBias</div><div class="ttdoc">A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32). </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00041">QuantizedLstmLayer.hpp:41</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00245">Layer.cpp:245</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a608ed1a3d4135921ce33a286a87a072b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">armnn::QuantizedLstmParameters::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 [outputSize, outputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00030">QuantizedLstmLayer.hpp:30</a></div></div> +<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml_a5c0289829d87ee65f7bba2a8c3839370"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#a5c0289829d87ee65f7bba2a8c3839370">armnn::QuantizedLstmLayer::Accept</a></div><div class="ttdeci">ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.xhtml#l00173">QuantizedLstmLayer.cpp:173</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a17ba1c8bcc71a55a95b2a3913f8cb203"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a17ba1c8bcc71a55a95b2a3913f8cb203">armnn::QuantizedLstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00654">WorkloadData.hpp:654</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_ab160eba2493d5fe52185c0986dcb190c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#ab160eba2493d5fe52185c0986dcb190c">armnn::QuantizedLstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00651">WorkloadData.hpp:651</a></div></div> +<div class="ttc" id="classarmnn_1_1_managed_const_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.xhtml">armnn::ManagedConstTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.xhtml#l00178">TensorHandle.hpp:178</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a6e9593869b82984de198fed27f72cdcf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a6e9593869b82984de198fed27f72cdcf">armnn::QuantizedLstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00663">WorkloadData.hpp:663</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a890a37ff3bfe123414ba7e6f052b49f3">armnn::LayerType::QuantizedLstm</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a1759754ccb88ecc9af44f3aae6e244ee"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a1759754ccb88ecc9af44f3aae6e244ee">armnn::QuantizedLstmInputParams::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00040">QuantizedLstmParams.hpp:40</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_xhtml_a6e30c7b3451da3ea9cf4259fb602e6e6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.xhtml#a6e30c7b3451da3ea9cf4259fb602e6e6">armnn::QuantizedLstmInputParams::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00036">QuantizedLstmParams.hpp:36</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00318">Layer.hpp:318</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00311">Layer.hpp:311</a></div></div> +<div class="ttc" id="classarmnn_1_1_managed_const_tensor_handle_xhtml_a85e02725184184331cc2e3b00642be47"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.xhtml#a85e02725184184331cc2e3b00642be47">armnn::ManagedConstTensorHandle::Map</a></div><div class="ttdeci">const void * Map(bool blocking=true)</div><div class="ttdoc">RAII Managed resource Unmaps MemoryArea once out of scope. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.xhtml#l00187">TensorHandle.hpp:187</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_af7ec4c0fa4375a45a70e4e31f3d8af47"><div class="ttname"><a href="namespacearmnn.xhtml#af7ec4c0fa4375a45a70e4e31f3d8af47">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#l00026">RefWorkloadUtils.hpp:26</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a1dd41cd674924907643cb088070a65d3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">armnn::QuantizedLstmParameters::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 [outputSize, outputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00028">QuantizedLstmLayer.hpp:28</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a841439e3b8dc157a7368b19c9ecb7d03"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a841439e3b8dc157a7368b19c9ecb7d03">armnn::QuantizedLstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00653">WorkloadData.hpp:653</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">armnn::QuantizedLstmParameters::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 [outputSize, inputSize] (QAsymm8)...</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00017">QuantizedLstmLayer.hpp:17</a></div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00063">Layer.cpp:63</a></div></div> +<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::QuantizedLstmLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.xhtml#l00081">QuantizedLstmLayer.cpp:81</a></div></div> +<div class="ttc" id="classarmnn_1_1_quantized_lstm_layer_xhtml_aa8678fecd6d84054895c67b8cf075daf"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#aa8678fecd6d84054895c67b8cf075daf">armnn::QuantizedLstmLayer::ExecuteStrategy</a></div><div class="ttdeci">ARMNN_NO_DEPRECATE_WARN_END void ExecuteStrategy(IStrategy &strategy) const override</div><div class="ttdoc">Apply a visitor to this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8cpp_source.xhtml#l00311">QuantizedLstmLayer.cpp:311</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00408">Layer.hpp:408</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00210">Layer.hpp:210</a></div></div> +<div class="ttc" id="_layer_clone_base_8hpp_xhtml"><div class="ttname"><a href="_layer_clone_base_8hpp.xhtml">LayerCloneBase.hpp</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00443">Types.hpp:443</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="_quantized_lstm_layer_8cpp.xhtml">QuantizedLstmLayer.cpp</a></li> + <li class="footer">Generated on Wed Nov 17 2021 12:59:00 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 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