diff options
Diffstat (limited to '20.02/_quantized_lstm_layer_8hpp_source.xhtml')
| -rw-r--r-- | 20.02/_quantized_lstm_layer_8hpp_source.xhtml | 137 |
1 files changed, 137 insertions, 0 deletions
diff --git a/20.02/_quantized_lstm_layer_8hpp_source.xhtml b/20.02/_quantized_lstm_layer_8hpp_source.xhtml new file mode 100644 index 0000000000..197042352f --- /dev/null +++ b/20.02/_quantized_lstm_layer_8hpp_source.xhtml @@ -0,0 +1,137 @@ +<!-- 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.hpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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_8hpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">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. 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>ScopedCpuTensorHandle;</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#a4d731c5e73638c7cf7e63f65e9f8b550"> 17</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a4d731c5e73638c7cf7e63f65e9f8b550">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#a5a0d8af26a6aad1e5be521ea7dc550eb"> 19</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a5a0d8af26a6aad1e5be521ea7dc550eb">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#a14ab2bc78421c417c4f97a65b0bd78f9"> 21</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a14ab2bc78421c417c4f97a65b0bd78f9">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#ae8d897b8d282f25a6eb784c4aaa98df6"> 23</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ae8d897b8d282f25a6eb784c4aaa98df6">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#a6e8971757790a032e5936da7847ba14b"> 26</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a6e8971757790a032e5936da7847ba14b">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#a3d5f129421bbe6479a66d4ed1356bf68"> 28</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d5f129421bbe6479a66d4ed1356bf68">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#a6e8c3db3c5474f0760553ff93fbc39e6"> 30</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a6e8c3db3c5474f0760553ff93fbc39e6">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#a91dda74af4085ae43913746ad817795a"> 32</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a91dda74af4085ae43913746ad817795a">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#a9945bc99f8a7400c0724117e29cb3abb"> 35</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a9945bc99f8a7400c0724117e29cb3abb">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#a0e0e17d5b494993407cb75d614455ddd"> 37</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a0e0e17d5b494993407cb75d614455ddd">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#a51255889cbc063130a3d691c1781c5d3"> 39</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a51255889cbc063130a3d691c1781c5d3">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#aacb55e0992b6781a7bd3225ab6e6bb2f"> 41</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aacb55e0992b6781a7bd3225ab6e6bb2f">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="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">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>* 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"></span> <span class="keywordtype">void</span> ValidateTensorShapesFromInputs() <span class="keyword">override</span>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"></span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</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="l00066"></a><span class="lineno"> 66</span> <span class="comment"> /// otherwise infers the output shapes from given input shapes and layer properties.</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> /// @param [in] inputShapes The input shapes layer has.</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> /// @return A vector to the inferred output shape.</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</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="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">void</span> <a class="code" href="namespacearmnn_utils_1_1_sockets.xhtml#ae7d45c832d3f9a398a08352442d20417">Accept</a>(<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a>& visitor) <span class="keyword">const override</span>;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">protected</span>:<span class="comment"></span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"> /// Constructor to create a QuantizedLstmLayer.</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> /// @param [in] name Optional name for the layer.</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</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="l00077"></a><span class="lineno"> 77</span> <span class="comment"></span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> /// Default destructor</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</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="l00080"></a><span class="lineno"> 80</span> <span class="comment"></span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"> /// Retrieve the handles to the constant values stored by the layer.</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> /// @return A vector of the constant tensors stored by this layer.</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">Layer::ConstantTensors</a> GetConstantTensorsByRef() <span class="keyword">override</span>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> };</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a6e8971757790a032e5936da7847ba14b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a6e8971757790a032e5936da7847ba14b">armnn::QuantizedLstmParameters::m_RecurrentToInputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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_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_a5a0d8af26a6aad1e5be521ea7dc550eb"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a5a0d8af26a6aad1e5be521ea7dc550eb">armnn::QuantizedLstmParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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="_elementwise_test_impl_8hpp_xhtml_ab6921db5d86507f5b126af1cc516adb9"><div class="ttname"><a href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a></div><div class="ttdeci">std::unique_ptr< armnn::IWorkload > CreateWorkload(const armnn::IWorkloadFactory &workloadFactory, const armnn::WorkloadInfo &info, const DescriptorType &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_test_impl_8hpp_source.xhtml#l00027">ElementwiseTestImpl.hpp:27</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a91dda74af4085ae43913746ad817795a"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a91dda74af4085ae43913746ad817795a">armnn::QuantizedLstmParameters::m_RecurrentToOutputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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="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#l00021">WorkloadFactory.hpp:21</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a4d731c5e73638c7cf7e63f65e9f8b550"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a4d731c5e73638c7cf7e63f65e9f8b550">armnn::QuantizedLstmParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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="structarmnn_1_1_quantized_lstm_parameters_xhtml_a3d5f129421bbe6479a66d4ed1356bf68"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a3d5f129421bbe6479a66d4ed1356bf68">armnn::QuantizedLstmParameters::m_RecurrentToForgetWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</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_a9945bc99f8a7400c0724117e29cb3abb"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a9945bc99f8a7400c0724117e29cb3abb">armnn::QuantizedLstmParameters::m_InputGateBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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="structarmnn_1_1_quantized_lstm_parameters_xhtml_a51255889cbc063130a3d691c1781c5d3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a51255889cbc063130a3d691c1781c5d3">armnn::QuantizedLstmParameters::m_CellBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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_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="structarmnn_1_1_quantized_lstm_parameters_xhtml_a0e0e17d5b494993407cb75d614455ddd"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a0e0e17d5b494993407cb75d614455ddd">armnn::QuantizedLstmParameters::m_ForgetGateBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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_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#l00029">Graph.hpp:29</a></div></div> +<div class="ttc" id="namespacearmnn_utils_1_1_sockets_xhtml_ae7d45c832d3f9a398a08352442d20417"><div class="ttname"><a href="namespacearmnn_utils_1_1_sockets.xhtml#ae7d45c832d3f9a398a08352442d20417">armnnUtils::Sockets::Accept</a></div><div class="ttdeci">armnnUtils::Sockets::Socket Accept(Socket s, sockaddr *addr, socklen_t *addrlen, int flags)</div><div class="ttdef"><b>Definition:</b> <a href="_network_sockets_8cpp_source.xhtml#l00091">NetworkSockets.cpp:91</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_aacb55e0992b6781a7bd3225ab6e6bb2f"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#aacb55e0992b6781a7bd3225ab6e6bb2f">armnn::QuantizedLstmParameters::m_OutputGateBias</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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_a14ab2bc78421c417c4f97a65b0bd78f9"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a14ab2bc78421c417c4f97a65b0bd78f9">armnn::QuantizedLstmParameters::m_InputToCellWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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_layer_visitor_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.xhtml">armnn::ILayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.xhtml#l00016">ILayerVisitor.hpp:16</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_ae8d897b8d282f25a6eb784c4aaa98df6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#ae8d897b8d282f25a6eb784c4aaa98df6">armnn::QuantizedLstmParameters::m_InputToOutputWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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_layer_xhtml_a585d59ec610af46a76487fd6c1c55ac1"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">armnn::Layer::ConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00363">Layer.hpp:363</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_parameters_xhtml_a6e8c3db3c5474f0760553ff93fbc39e6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.xhtml#a6e8c3db3c5474f0760553ff93fbc39e6">armnn::QuantizedLstmParameters::m_RecurrentToCellWeights</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > 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_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#l00209">Layer.hpp:209</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_8hpp.xhtml">QuantizedLstmLayer.hpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:08 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |