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| author | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
|---|---|---|
| committer | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
| commit | ae050524109f1ce827962665436ef7430f2ac479 (patch) | |
| tree | a087fe0c77570971dd7979f2757426c24e91afc7 /23.02/_quantized_lstm_layer_8hpp_source.xhtml | |
| parent | 8d2ca734165a068478df7cffa46185680b05cd20 (diff) | |
| download | armnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz | |
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release.
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
Diffstat (limited to '23.02/_quantized_lstm_layer_8hpp_source.xhtml')
| -rw-r--r-- | 23.02/_quantized_lstm_layer_8hpp_source.xhtml | 162 |
1 files changed, 130 insertions, 32 deletions
diff --git a/23.02/_quantized_lstm_layer_8hpp_source.xhtml b/23.02/_quantized_lstm_layer_8hpp_source.xhtml index 18ce807826..a78df6ae8e 100644 --- a/23.02/_quantized_lstm_layer_8hpp_source.xhtml +++ b/23.02/_quantized_lstm_layer_8hpp_source.xhtml @@ -8,7 +8,7 @@ <head> <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> <meta http-equiv="X-UA-Compatible" content="IE=9"/> -<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="generator" content="Doxygen 1.8.17"/> <meta name="robots" content="NOINDEX, NOFOLLOW" /> <meta name="viewport" content="width=device-width, initial-scale=1"/> <title>ArmNN: src/armnn/layers/QuantizedLstmLayer.hpp Source File</title> @@ -19,9 +19,6 @@ <script type="text/javascript" src="resize.js"></script> <script type="text/javascript" src="navtreedata.js"></script> <script type="text/javascript" src="navtree.js"></script> -<script type="text/javascript"> - $(document).ready(initResizable); -</script> <link href="search/search.css" rel="stylesheet" type="text/css"/> <script type="text/javascript" src="search/searchdata.js"></script> <script type="text/javascript" src="search/search.js"></script> @@ -30,7 +27,8 @@ extensions: ["tex2jax.js"], jax: ["input/TeX","output/HTML-CSS"], }); -</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +</script> +<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> <link href="doxygen.css" rel="stylesheet" type="text/css" /> <link href="stylesheet.css" rel="stylesheet" type="text/css"/> </head> @@ -51,18 +49,21 @@ </table> </div> <!-- end header part --> -<!-- Generated by Doxygen 1.8.13 --> +<!-- Generated by Doxygen 1.8.17 --> <script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ </script> <script type="text/javascript" src="menudata.js"></script> <script type="text/javascript" src="menu.js"></script> <script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ $(function() { initMenu('',true,false,'search.php','Search'); $(document).ready(function() { init_search(); }); }); -</script> +/* @license-end */</script> <div id="main-nav"></div> </div><!-- top --> <div id="side-nav" class="ui-resizable side-nav-resizable"> @@ -76,7 +77,9 @@ $(function() { </div> </div> <script type="text/javascript"> -$(document).ready(function(){initNavTree('_quantized_lstm_layer_8hpp_source.xhtml','');}); +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_quantized_lstm_layer_8hpp_source.xhtml',''); initResizable(); }); +/* @license-end */ </script> <div id="doc-content"> <!-- window showing the filter options --> @@ -98,37 +101,132 @@ $(document).ready(function(){initNavTree('_quantized_lstm_layer_8hpp_source.xhtm <div class="title">QuantizedLstmLayer.hpp</div> </div> </div><!--header--> <div class="contents"> -<a href="_quantized_lstm_layer_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_layer_8hpp.xhtml">Layer.hpp</a>></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> {</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">class </span>ScopedTensorHandle;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml"> 14</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml">QuantizedLstmParameters</a></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {<span class="comment"></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div><div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670"> 17</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef"> 19</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318"> 21</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e"> 23</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"></span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c"> 26</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3"> 28</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div><div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b"> 30</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>;<span class="comment"></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e"> 32</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c"> 35</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>;<span class="comment"></span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be"> 37</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>;<span class="comment"></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558"> 39</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a>;<span class="comment"></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3"> 41</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> };</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment">/// This layer represents a QuantizedLstm operation.</span></div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml"> 45</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468"> 49</a></span>  <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml">QuantizedLstmParameters</a> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"></span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> /// Makes a workload for the QuantizedLstm type.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> /// @param [in] graph The graph where this layer can be found.</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> /// @param [in] factory The workload factory which will create the workload.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> /// @return A pointer to the created workload, or nullptr if not created.</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"></span> <span class="keyword">virtual</span> std::unique_ptr<IWorkload> CreateWorkload(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>& factory) <span class="keyword">const override</span>;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"></span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> /// Creates a dynamically-allocated copy of this layer.</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> /// @param [in] graph The graph into which this layer is being cloned.</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a>* Clone(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph) <span class="keyword">const override</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"></span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> /// Check if the input tensor shape(s)</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> /// will lead to a valid configuration of @ref QuantizedLstmLayer.</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"></span> <span class="keywordtype">void</span> ValidateTensorShapesFromInputs() <span class="keyword">override</span>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"></span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> /// By default returns inputShapes if the number of inputs are equal to number of outputs,</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> /// otherwise infers the output shapes from given input shapes and layer properties.</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> /// @param [in] inputShapes The input shapes layer has.</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"> /// @return A vector to the inferred output shape.</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"></span> std::vector<TensorShape> InferOutputShapes(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes) <span class="keyword">const override</span>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordtype">void</span> ExecuteStrategy(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>& strategy) <span class="keyword">const override</span>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keyword">protected</span>:<span class="comment"></span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> /// Constructor to create a QuantizedLstmLayer.</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> /// @param [in] name Optional name for the layer.</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"></span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> /// Default destructor</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"></span> ~<a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"></span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> /// Retrieve the handles to the constant values stored by the layer.</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"> /// @return A vector of the constant tensors stored by this layer.</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#af978f897fb7e115a901cb7ed95f8e532">Layer::ConstantTensors</a> GetConstantTensorsByRef() <span class="keyword">override</span>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> };</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> } <span class="comment">// namespace armnn</span></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="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_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="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="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_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="structarmnn_1_1_quantized_lstm_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml">armnn::QuantizedLstmParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00014">QuantizedLstmLayer.hpp:14</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="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="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#l00016">IStrategy.hpp:16</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_i_connectable_layer_xhtml_af978f897fb7e115a901cb7ed95f8e532"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#af978f897fb7e115a901cb7ed95f8e532">armnn::IConnectableLayer::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="_i_network_8hpp_source.xhtml#l00124">INetwork.hpp:124</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_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_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="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="_layer_8hpp_xhtml"><div class="ttname"><a href="_layer_8hpp.xhtml">Layer.hpp</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_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_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#l00217">Layer.hpp:217</a></div></div> +<a href="_quantized_lstm_layer_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div> +<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.</span></div> +<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> +<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> +<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div> +<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>  </div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_layer_8hpp.xhtml">Layer.hpp</a>></span></div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>  </div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> {</div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">class </span>ScopedTensorHandle;</div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div> +<div class="line"><a name="l00014"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml"> 14</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml">QuantizedLstmParameters</a></div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {<span class="comment"></span></div> +<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div> +<div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670"> 17</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a>;<span class="comment"></span></div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div> +<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef"> 19</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a>;<span class="comment"></span></div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div> +<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318"> 21</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ad3f42762262330534a4be0dde29a1318">m_InputToCellWeights</a>;<span class="comment"></span></div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</span></div> +<div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e"> 23</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d4f6f42e10ba6f808a5244bb7853e7e">m_InputToOutputWeights</a>;</div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"></span> </div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div> +<div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c"> 26</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addfb6b081817510deb924c8fb5ce216c">m_RecurrentToInputWeights</a>;<span class="comment"></span></div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div> +<div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3"> 28</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a1dd41cd674924907643cb088070a65d3">m_RecurrentToForgetWeights</a>;<span class="comment"></span></div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div> +<div class="line"><a name="l00030"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b"> 30</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a608ed1a3d4135921ce33a286a87a072b">m_RecurrentToCellWeights</a>;<span class="comment"></span></div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> /// A unique pointer to represent 2D weights tensor with dimensions [outputSize, outputSize] (QAsymm8).</span></div> +<div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e"> 32</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#addad136e04521a1d31cbebf7280c312e">m_RecurrentToOutputWeights</a>;</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"></span> </div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div> +<div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c"> 35</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a85684ffb2d12d0d04fbd188591488a2c">m_InputGateBias</a>;<span class="comment"></span></div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div> +<div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be"> 37</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#af7f44bcc5b6cf669268a9ac0ff1446be">m_ForgetGateBias</a>;<span class="comment"></span></div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div> +<div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558"> 39</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a21a90800797f1e122bc44d7022001558">m_CellBias</a>;<span class="comment"></span></div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> /// A unique pointer to represent 1D bias tensor with dimensions [outputSize] (int32).</span></div> +<div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3"> 41</a></span> <span class="comment"></span> std::shared_ptr<ConstTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a950c538e326db48f4c26a354c2b982e3">m_OutputGateBias</a>;</div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> };</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"></span> </div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment">/// This layer represents a QuantizedLstm operation.</span></div> +<div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml"> 45</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml">QuantizedLstmLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a></div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">public</span>:</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div> +<div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468"> 49</a></span>  <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml">QuantizedLstmParameters</a> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>;</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"></span> </div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> /// Makes a workload for the QuantizedLstm type.</span></div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> /// @param [in] graph The graph where this layer can be found.</span></div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> /// @param [in] factory The workload factory which will create the workload.</span></div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> /// @return A pointer to the created workload, or nullptr if not created.</span></div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"></span> <span class="keyword">virtual</span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">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 override</span>;</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"></span> </div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> /// Creates a dynamically-allocated copy of this layer.</span></div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> /// @param [in] graph The graph into which this layer is being cloned.</span></div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"></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">Clone</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph) <span class="keyword">const override</span>;</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"></span> </div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> /// Check if the input tensor shape(s)</span></div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> /// will lead to a valid configuration of @ref QuantizedLstmLayer.</span></div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.</span></div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a>() <span class="keyword">override</span>;</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"></span> </div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> /// By default returns inputShapes if the number of inputs are equal to number of outputs,</span></div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> /// otherwise infers the output shapes from given input shapes and layer properties.</span></div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> /// @param [in] inputShapes The input shapes layer has.</span></div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"> /// @return A vector to the inferred output shape.</span></div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes) <span class="keyword">const override</span>;</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  </div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a>& strategy) <span class="keyword">const override</span>;</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  </div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keyword">protected</span>:<span class="comment"></span></div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> /// Constructor to create a QuantizedLstmLayer.</span></div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> /// @param [in] name Optional name for the layer.</span></div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a1e8a4f8777390120259787caa45d743a">QuantizedLstmLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"></span> </div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> /// Default destructor</span></div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a7bb743f4f47ed214a8dce7d0da26fdff">~QuantizedLstmLayer</a>() = <span class="keywordflow">default</span>;</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"></span> </div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> /// Retrieve the handles to the constant values stored by the layer.</span></div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"> /// @return A vector of the constant tensors stored by this layer.</span></div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#af978f897fb7e115a901cb7ed95f8e532">Layer::ConstantTensors</a> <a class="code" href="classarmnn_1_1_quantized_lstm_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">GetConstantTensorsByRef</a>() <span class="keyword">override</span>;</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> };</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> } <span class="comment">// namespace armnn</span></div> </div><!-- fragment --></div><!-- contents --> </div><!-- doc-content --> +<div class="ttc" id="aclassarmnn_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="astructarmnn_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="aclassarmnn_1_1_quantized_lstm_layer_xhtml_a7bb743f4f47ed214a8dce7d0da26fdff"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#a7bb743f4f47ed214a8dce7d0da26fdff">armnn::QuantizedLstmLayer::~QuantizedLstmLayer</a></div><div class="ttdeci">~QuantizedLstmLayer()=default</div><div class="ttdoc">Default destructor.</div></div> +<div class="ttc" id="astructarmnn_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="aclassarmnn_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,...</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="aclassarmnn_1_1_quantized_lstm_layer_xhtml_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::QuantizedLstmLayer::ExecuteStrategy</a></div><div class="ttdeci">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#l00173">QuantizedLstmLayer.cpp:173</a></div></div> +<div class="ttc" id="aclassarmnn_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#l00217">Layer.hpp:217</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml_af978f897fb7e115a901cb7ed95f8e532"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#af978f897fb7e115a901cb7ed95f8e532">armnn::IConnectableLayer::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="_i_network_8hpp_source.xhtml#l00124">INetwork.hpp:124</a></div></div> +<div class="ttc" id="aclassarmnn_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="aclassarmnn_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="astructarmnn_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="aclassarmnn_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="anamespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="aclassarmnn_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#l00016">IStrategy.hpp:16</a></div></div> +<div class="ttc" id="astructarmnn_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="astructarmnn_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="aclassarmnn_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="aclassarmnn_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="astructarmnn_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="a_layer_8hpp_xhtml"><div class="ttname"><a href="_layer_8hpp.xhtml">Layer.hpp</a></div></div> +<div class="ttc" id="astructarmnn_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="astructarmnn_1_1_quantized_lstm_parameters_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml">armnn::QuantizedLstmParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.xhtml#l00014">QuantizedLstmLayer.hpp:14</a></div></div> +<div class="ttc" id="astructarmnn_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="astructarmnn_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="astructarmnn_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="aclassarmnn_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="astructarmnn_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="aclassarmnn_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="astructarmnn_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="aclassarmnn_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> <!-- 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" 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