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diff --git a/20.02/_neon_quantized_lstm_workload_8cpp_source.xhtml b/20.02/_neon_quantized_lstm_workload_8cpp_source.xhtml new file mode 100644 index 0000000000..5e51af59e0 --- /dev/null +++ b/20.02/_neon_quantized_lstm_workload_8cpp_source.xhtml @@ -0,0 +1,159 @@ +<!-- 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/backends/neon/workloads/NeonQuantizedLstmWorkload.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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('_neon_quantized_lstm_workload_8cpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">NeonQuantizedLstmWorkload.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_neon_quantized_lstm_workload_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. 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> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_neon_quantized_lstm_workload_8hpp.xhtml">NeonQuantizedLstmWorkload.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_tensor_utils_8hpp.xhtml">aclCommon/ArmComputeTensorUtils.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_cpu_tensor_handle_8hpp.xhtml">backendsCommon/CpuTensorHandle.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_neon_tensor_handle_8hpp.xhtml">neon/NeonTensorHandle.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">using namespace </span>armcomputetensorutils;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_quantized_lstm_workload.xhtml#a22b3f0c6bd6ac4987c47b90521b82e57"> 17</a></span> <a class="code" href="classarmnn_1_1_neon_quantized_lstm_workload.xhtml#a22b3f0c6bd6ac4987c47b90521b82e57">NeonQuantizedLstmWorkload::NeonQuantizedLstmWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">QuantizedLstmQueueDescriptor</a> &descriptor,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  : <a class="code" href="classarmnn_1_1_base_workload.xhtml">BaseWorkload</a><<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">QuantizedLstmQueueDescriptor</a>>(descriptor, info)</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="comment">// Basic parameters</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  m_InputToInputWeightsTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  BuildArmComputeTensor(*m_InputToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  m_InputToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  BuildArmComputeTensor(*m_InputToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  m_InputToCellWeightsTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  BuildArmComputeTensor(*m_InputToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  m_InputToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  BuildArmComputeTensor(*m_InputToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  m_RecurrentToInputWeightsTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  m_RecurrentToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  m_RecurrentToCellWeightsTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</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>  m_RecurrentToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  m_InputGateBiasTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  BuildArmComputeTensor(*m_InputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  m_ForgetGateBiasTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  BuildArmComputeTensor(*m_ForgetGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  m_CellBiasTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  BuildArmComputeTensor(*m_CellBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  m_OutputGateBiasTensor = std::make_unique<arm_compute::Tensor>();</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  BuildArmComputeTensor(*m_OutputGateBiasTensor, <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">const</span> arm_compute::ITensor& input = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_acl_tensor_handle.xhtml">IAclTensorHandle</a>*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])->GetTensor();</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  arm_compute::ITensor& cell_state_in = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_acl_tensor_handle.xhtml">IAclTensorHandle</a>*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[1])->GetTensor();</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">const</span> arm_compute::ITensor& output_state_in = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_acl_tensor_handle.xhtml">IAclTensorHandle</a>*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[2])->GetTensor();</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  arm_compute::ITensor& cell_state_out = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_acl_tensor_handle.xhtml">IAclTensorHandle</a>*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])->GetTensor();</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  arm_compute::ITensor& output_state_out = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_acl_tensor_handle.xhtml">IAclTensorHandle</a>*<span class="keyword">></span>(<a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[1])->GetTensor();</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  m_QuantizedLstmLayer.configure(&input,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  m_InputToInputWeightsTensor.get(),</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  m_InputToForgetWeightsTensor.get(),</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  m_InputToCellWeightsTensor.get(),</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  m_InputToOutputWeightsTensor.get(),</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  m_RecurrentToInputWeightsTensor.get(),</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  m_RecurrentToForgetWeightsTensor.get(),</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  m_RecurrentToCellWeightsTensor.get(),</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  m_RecurrentToOutputWeightsTensor.get(),</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  m_InputGateBiasTensor.get(),</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  m_ForgetGateBiasTensor.get(),</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  m_CellBiasTensor.get(),</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  m_OutputGateBiasTensor.get(),</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  &cell_state_in,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  &output_state_in,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  &cell_state_out,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  &output_state_out);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_InputToInputWeightsTensor,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a>);</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>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_InputToForgetWeightsTensor,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_InputToCellWeightsTensor,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a>);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_InputToOutputWeightsTensor,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_RecurrentToInputWeightsTensor,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a>);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_RecurrentToForgetWeightsTensor,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_RecurrentToCellWeightsTensor,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a>);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_RecurrentToOutputWeightsTensor,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a>);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_InputGateBiasTensor,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_ForgetGateBiasTensor,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a>);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_CellBiasTensor,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a>);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">InitializeArmComputeTensorData</a>(*m_OutputGateBiasTensor,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="comment">// Force Compute Library to perform the necessary copying and reshaping, after which</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// delete all the input tensors that will no longer be needed</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  m_QuantizedLstmLayer.prepare();</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  FreeUnusedTensors();</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_quantized_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a"> 125</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_quantized_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonQuantizedLstmWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="keyword"></span>{</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  m_QuantizedLstmLayer.run();</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#ae83632e641892ad2de78f316376f6bd0"> 130</a></span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.xhtml#ae83632e641892ad2de78f316376f6bd0">NeonQuantizedLstmWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& input,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateIn,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateIn,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& cellStateOut,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputStateOut,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">QuantizedLstmInputParamsInfo</a>& paramsInfo)</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// The inputs and outputs</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclCellStateInInfo = BuildArmComputeTensorInfo(cellStateIn);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutputStateInInfo = BuildArmComputeTensorInfo(outputStateIn);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclCellStateOutInfo = BuildArmComputeTensorInfo(cellStateOut);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutputStateOutInfo = BuildArmComputeTensorInfo(outputStateOut);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// Basic parameters</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputToInputWeightsInfo</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#afa2b04197a764428a8c3a648de8058fc">GetInputToInputWeights</a>());</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputToForgetWeightsInfo</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a7dac08f19a1b235d5256d39136848a09">GetInputToForgetWeights</a>());</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputToCellWeightsInfo</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a3b3c26330a05bf4ea40f8a6b402be354">GetInputToCellWeights</a>());</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputToOutputWeightsInfo</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a800adf0f61e84d706060f63037c1a336">GetInputToOutputWeights</a>());</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToInputWeightsInfo</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ad159f9edbddeeb6cf6ff0ba042481ba8">GetRecurrentToInputWeights</a>());</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToForgetWeightsInfo</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a534af7e4f3a6d50a6dab05abc245133d">GetRecurrentToForgetWeights</a>());</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToCellWeightsInfo</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae5bfdd423b16f990c1713ef9f91f947b">GetRecurrentToCellWeights</a>());</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#afe4d25acd31b98dee6f6b28d4d756071">GetRecurrentToOutputWeights</a>());</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputGateBiasInfo</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae1d5a487fcd13852927c8a2b9f9dfeb6">GetInputGateBias</a>());</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclForgetGateBiasInfo</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ac81393ef433b0c7c337f9f0d55f41ae4">GetForgetGateBias</a>());</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclCellBiasInfo</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ad5f4be37766b41f342dd196cb1c6e141">GetCellBias</a>());</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutputGateBiasInfo</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  = BuildArmComputeTensorInfo(paramsInfo.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae0da94ba17ce67b95b5b9d6e5adc4271">GetOutputGateBias</a>());</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">return</span> arm_compute::NELSTMLayerQuantized::validate(&aclInputInfo,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  &aclInputToInputWeightsInfo,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  &aclInputToForgetWeightsInfo,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  &aclInputToCellWeightsInfo,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  &aclInputToOutputWeightsInfo,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  &aclRecurrentToInputWeightsInfo,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  &aclRecurrentToForgetWeightsInfo,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  &aclRecurrentToCellWeightsInfo,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  &aclRecurrentToOutputWeightsInfo,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  &aclInputGateBiasInfo,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  &aclForgetGateBiasInfo,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  &aclCellBiasInfo,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  &aclOutputGateBiasInfo,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  &aclCellStateInInfo,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  &aclOutputStateInInfo,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  &aclCellStateOutInfo,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  &aclOutputStateOutInfo);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> }</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="keywordtype">void</span> NeonQuantizedLstmWorkload::FreeUnusedTensors()</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  FreeTensorIfUnused(m_InputToInputWeightsTensor);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  FreeTensorIfUnused(m_InputToForgetWeightsTensor);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  FreeTensorIfUnused(m_InputToCellWeightsTensor);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  FreeTensorIfUnused(m_InputToOutputWeightsTensor);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  FreeTensorIfUnused(m_RecurrentToInputWeightsTensor);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  FreeTensorIfUnused(m_RecurrentToForgetWeightsTensor);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  FreeTensorIfUnused(m_RecurrentToCellWeightsTensor);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  FreeTensorIfUnused(m_RecurrentToOutputWeightsTensor);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  FreeTensorIfUnused(m_InputGateBiasTensor);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  FreeTensorIfUnused(m_ForgetGateBiasTensor);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  FreeTensorIfUnused(m_CellBiasTensor);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  FreeTensorIfUnused(m_OutputGateBiasTensor);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  FreeTensorIfUnused(m_CellStateInTensor);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  FreeTensorIfUnused(m_OutputStateInTensor);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  FreeTensorIfUnused(m_CellStateOutTensor);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> }</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a45d73e66cbb2b65049e4016c20657ccf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00537">WorkloadData.hpp:537</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_acb3aade8fae984f7293e222dcbe66030"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">armnn::QuantizedLstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00541">WorkloadData.hpp:541</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml">armnn::QuantizedLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00512">WorkloadData.hpp:512</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ae5bfdd423b16f990c1713ef9f91f947b"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae5bfdd423b16f990c1713ef9f91f947b">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToCellWeights</a></div><div class="ttdeci">const TensorInfo & GetRecurrentToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00190">QuantizedLstmParams.hpp:190</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_a800adf0f61e84d706060f63037c1a336"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a800adf0f61e84d706060f63037c1a336">armnn::QuantizedLstmInputParamsInfo::GetInputToOutputWeights</a></div><div class="ttdeci">const TensorInfo & GetInputToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00177">QuantizedLstmParams.hpp:177</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a28ad98d17603fd8b12e046f8ece58970"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">armnn::QuantizedLstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00533">WorkloadData.hpp:533</a></div></div> +<div class="ttc" id="_neon_quantized_lstm_workload_8hpp_xhtml"><div class="ttname"><a href="_neon_quantized_lstm_workload_8hpp.xhtml">NeonQuantizedLstmWorkload.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_workload_xhtml_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload< QuantizedLstmQueueDescriptor >::m_Data</a></div><div class="ttdeci">const QuantizedLstmQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00046">Workload.hpp:46</a></div></div> +<div class="ttc" id="_neon_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_neon_tensor_handle_8hpp.xhtml">NeonTensorHandle.hpp</a></div></div> +<div class="ttc" id="_arm_compute_tensor_utils_8hpp_xhtml"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.xhtml">ArmComputeTensorUtils.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_afa2b04197a764428a8c3a648de8058fc"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#afa2b04197a764428a8c3a648de8058fc">armnn::QuantizedLstmInputParamsInfo::GetInputToInputWeights</a></div><div class="ttdeci">const TensorInfo & GetInputToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00165">QuantizedLstmParams.hpp:165</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="classarmnn_1_1_i_acl_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_acl_tensor_handle.xhtml">armnn::IAclTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_tensor_handle_8hpp_source.xhtml#l00016">ArmComputeTensorHandle.hpp:16</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_quantized_lstm_workload_xhtml_a22b3f0c6bd6ac4987c47b90521b82e57"><div class="ttname"><a href="classarmnn_1_1_neon_quantized_lstm_workload.xhtml#a22b3f0c6bd6ac4987c47b90521b82e57">armnn::NeonQuantizedLstmWorkload::NeonQuantizedLstmWorkload</a></div><div class="ttdeci">NeonQuantizedLstmWorkload(const QuantizedLstmQueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_quantized_lstm_workload_8cpp_source.xhtml#l00017">NeonQuantizedLstmWorkload.cpp:17</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae83632e641892ad2de78f316376f6bd0"><div class="ttname"><a href="namespacearmnn.xhtml#ae83632e641892ad2de78f316376f6bd0">armnn::NeonQuantizedLstmWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonQuantizedLstmWorkloadValidate(const TensorInfo &input, const TensorInfo &cellStateIn, const TensorInfo &outputStateIn, const TensorInfo &cellStateOut, const TensorInfo &outputStateOut, const QuantizedLstmInputParamsInfo &paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_quantized_lstm_workload_8cpp_source.xhtml#l00130">NeonQuantizedLstmWorkload.cpp:130</a></div></div> +<div class="ttc" id="classarmnn_1_1_base_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_base_workload.xhtml">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00028">Workload.hpp:28</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml">armnn::QuantizedLstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00119">QuantizedLstmParams.hpp:119</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_aba3ffe91d818266b8785ce971548eb59"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">armnn::QuantizedLstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00542">WorkloadData.hpp:542</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_a534af7e4f3a6d50a6dab05abc245133d"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a534af7e4f3a6d50a6dab05abc245133d">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToForgetWeights</a></div><div class="ttdeci">const TensorInfo & GetRecurrentToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00186">QuantizedLstmParams.hpp:186</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdoc">enumeration </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00026">Types.hpp:26</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_a3b3c26330a05bf4ea40f8a6b402be354"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a3b3c26330a05bf4ea40f8a6b402be354">armnn::QuantizedLstmInputParamsInfo::GetInputToCellWeights</a></div><div class="ttdeci">const TensorInfo & GetInputToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00173">QuantizedLstmParams.hpp:173</a></div></div> +<div class="ttc" id="_neon_workload_utils_8hpp_xhtml"><div class="ttname"><a href="_neon_workload_utils_8hpp.xhtml">NeonWorkloadUtils.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a98d377149071d8842d610cc0734d1cfe"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00536">WorkloadData.hpp:536</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_aea142bd50ffb93631c2e08324ec92a1e"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00538">WorkloadData.hpp:538</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ac81393ef433b0c7c337f9f0d55f41ae4"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ac81393ef433b0c7c337f9f0d55f41ae4">armnn::QuantizedLstmInputParamsInfo::GetForgetGateBias</a></div><div class="ttdeci">const TensorInfo & GetForgetGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00203">QuantizedLstmParams.hpp:203</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_adebc1771e5a1f4b113a7aa594ea74d2c"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">armnn::QuantizedLstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00539">WorkloadData.hpp:539</a></div></div> +<div class="ttc" id="classarmnn_1_1_neon_quantized_lstm_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_quantized_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonQuantizedLstmWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_quantized_lstm_workload_8cpp_source.xhtml#l00125">NeonQuantizedLstmWorkload.cpp:125</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad9aa8d49d42ada3f757290033af39857"><div class="ttname"><a href="namespacearmnn.xhtml#ad9aa8d49d42ada3f757290033af39857">armnn::InitializeArmComputeTensorData</a></div><div class="ttdeci">void InitializeArmComputeTensorData(arm_compute::Tensor &tensor, const ConstCpuTensorHandle *handle)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.xhtml#l00035">NeonWorkloadUtils.hpp:35</a></div></div> +<div class="ttc" id="_cpu_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.xhtml">CpuTensorHandle.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ae1d5a487fcd13852927c8a2b9f9dfeb6"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae1d5a487fcd13852927c8a2b9f9dfeb6">armnn::QuantizedLstmInputParamsInfo::GetInputGateBias</a></div><div class="ttdeci">const TensorInfo & GetInputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00199">QuantizedLstmParams.hpp:199</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_a7dac08f19a1b235d5256d39136848a09"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#a7dac08f19a1b235d5256d39136848a09">armnn::QuantizedLstmInputParamsInfo::GetInputToForgetWeights</a></div><div class="ttdeci">const TensorInfo & GetInputToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00169">QuantizedLstmParams.hpp:169</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ad5f4be37766b41f342dd196cb1c6e141"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ad5f4be37766b41f342dd196cb1c6e141">armnn::QuantizedLstmInputParamsInfo::GetCellBias</a></div><div class="ttdeci">const TensorInfo & GetCellBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00207">QuantizedLstmParams.hpp:207</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ae0da94ba17ce67b95b5b9d6e5adc4271"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ae0da94ba17ce67b95b5b9d6e5adc4271">armnn::QuantizedLstmInputParamsInfo::GetOutputGateBias</a></div><div class="ttdeci">const TensorInfo & GetOutputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00211">QuantizedLstmParams.hpp:211</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a75980b5795efd899a0c678a06a900c6d"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">armnn::QuantizedLstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00543">WorkloadData.hpp:543</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00031">WorkloadData.hpp:31</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_ad159f9edbddeeb6cf6ff0ba042481ba8"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#ad159f9edbddeeb6cf6ff0ba042481ba8">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToInputWeights</a></div><div class="ttdeci">const TensorInfo & GetRecurrentToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00182">QuantizedLstmParams.hpp:182</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a332551528a4b3534c2d6c89ce816fcd9"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">armnn::QuantizedLstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00544">WorkloadData.hpp:544</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_input_params_info_xhtml_afe4d25acd31b98dee6f6b28d4d756071"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params_info.xhtml#afe4d25acd31b98dee6f6b28d4d756071">armnn::QuantizedLstmInputParamsInfo::GetRecurrentToOutputWeights</a></div><div class="ttdeci">const TensorInfo & GetRecurrentToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.xhtml#l00194">QuantizedLstmParams.hpp:194</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a3ea82566d98c5a657c76c3d851c47848"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">armnn::QuantizedLstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00532">WorkloadData.hpp:532</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_xhtml_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00030">WorkloadData.hpp:30</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a83dc9086b2e4a4e4cadb66bd874df798"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">armnn::QuantizedLstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00534">WorkloadData.hpp:534</a></div></div> +<div class="ttc" id="structarmnn_1_1_quantized_lstm_queue_descriptor_xhtml_a08a1932be591c315a512a877d38b22df"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">armnn::QuantizedLstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00531">WorkloadData.hpp:531</a></div></div> +<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::ConstCpuTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00037">CpuTensorHandle.hpp:37</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_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_d86eb514662c7c08e168285f21d00ea1.xhtml">neon</a></li><li class="navelem"><a class="el" href="dir_369c3c20501d0d10bd0354bf11c2f559.xhtml">workloads</a></li><li class="navelem"><a class="el" href="_neon_quantized_lstm_workload_8cpp.xhtml">NeonQuantizedLstmWorkload.cpp</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:12 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> |