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| author | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
|---|---|---|
| committer | David Monahan <david.monahan@arm.com> | 2023-03-22 16:48:58 +0000 |
| commit | ae050524109f1ce827962665436ef7430f2ac479 (patch) | |
| tree | a087fe0c77570971dd7979f2757426c24e91afc7 /23.02/_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml | |
| parent | 8d2ca734165a068478df7cffa46185680b05cd20 (diff) | |
| download | armnn-ae050524109f1ce827962665436ef7430f2ac479.tar.gz | |
IVGCVSW-7255 Update Doxygen Documentation and publish on GitHub.
* Updating Doxygen documentation for 23.02 release.
Signed-off-by: David Monahan <david.monahan@arm.com>
Change-Id: I545574ff7664b4595d2fe6a91a3c35d2ad55df82
Diffstat (limited to '23.02/_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml')
| -rw-r--r-- | 23.02/_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml | 151 |
1 files changed, 124 insertions, 27 deletions
diff --git a/23.02/_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml b/23.02/_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml index 942045ca54..639133567a 100644 --- a/23.02/_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml +++ b/23.02/_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml @@ -8,7 +8,7 @@ <head> <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> <meta http-equiv="X-UA-Compatible" content="IE=9"/> -<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="generator" content="Doxygen 1.8.17"/> <meta name="robots" content="NOINDEX, NOFOLLOW" /> <meta name="viewport" content="width=device-width, initial-scale=1"/> <title>ArmNN: src/backends/neon/workloads/NeonUnidirectionalSequenceLstmFloatWorkload.hpp Source File</title> @@ -19,9 +19,6 @@ <script type="text/javascript" src="resize.js"></script> <script type="text/javascript" src="navtreedata.js"></script> <script type="text/javascript" src="navtree.js"></script> -<script type="text/javascript"> - $(document).ready(initResizable); -</script> <link href="search/search.css" rel="stylesheet" type="text/css"/> <script type="text/javascript" src="search/searchdata.js"></script> <script type="text/javascript" src="search/search.js"></script> @@ -30,7 +27,8 @@ extensions: ["tex2jax.js"], jax: ["input/TeX","output/HTML-CSS"], }); -</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +</script> +<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> <link href="doxygen.css" rel="stylesheet" type="text/css" /> <link href="stylesheet.css" rel="stylesheet" type="text/css"/> </head> @@ -51,18 +49,21 @@ </table> </div> <!-- end header part --> -<!-- Generated by Doxygen 1.8.13 --> +<!-- Generated by Doxygen 1.8.17 --> <script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ </script> <script type="text/javascript" src="menudata.js"></script> <script type="text/javascript" src="menu.js"></script> <script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ $(function() { initMenu('',true,false,'search.php','Search'); $(document).ready(function() { init_search(); }); }); -</script> +/* @license-end */</script> <div id="main-nav"></div> </div><!-- top --> <div id="side-nav" class="ui-resizable side-nav-resizable"> @@ -76,7 +77,9 @@ $(function() { </div> </div> <script type="text/javascript"> -$(document).ready(function(){initNavTree('_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml','');}); +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml',''); initResizable(); }); +/* @license-end */ </script> <div id="doc-content"> <!-- window showing the filter options --> @@ -98,32 +101,126 @@ $(document).ready(function(){initNavTree('_neon_unidirectional_sequence_lstm_flo <div class="title">NeonUnidirectionalSequenceLstmFloatWorkload.hpp</div> </div> </div><!--header--> <div class="contents"> -<a href="_neon_unidirectional_sequence_lstm_float_workload_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 © 2022 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_lstm_params_8hpp.xhtml">armnn/LstmParams.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_workload_8hpp.xhtml">armnn/backends/Workload.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">armnn/backends/WorkloadData.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="preprocessor">#include "arm_compute/runtime/NEON/functions/NELSTMLayer.h"</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "arm_compute/runtime/NEON/functions/NEPermute.h"</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "arm_compute/runtime/NEON/functions/NESplit.h"</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h"</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml"> 21</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml">NeonUnidirectionalSequenceLstmFloatWorkload</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_typed_workload.xhtml">FloatWorkload</a><UnidirectionalSequenceLstmQueueDescriptor></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml#acceeccc54cc2871ec72da81e48e7ef1c">NeonUnidirectionalSequenceLstmFloatWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.xhtml">UnidirectionalSequenceLstmQueueDescriptor</a>& descriptor,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</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="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a>() <span class="keyword">const override</span>;</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> <span class="keyword">private</span>:</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="comment">//</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="comment">// ACL layers required to fully form a Unidirectional Sequence LSTM layer.</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="comment">//</span></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>  <span class="comment">// permutation for input (only used when input is batch major)</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">mutable</span> std::unique_ptr<arm_compute::NEPermute> m_Permute1;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">mutable</span> std::unique_ptr<arm_compute::IFunction> m_Splitter;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">mutable</span> std::vector<std::unique_ptr<arm_compute::NELSTMLayer>> m_Layers;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">mutable</span> std::unique_ptr<arm_compute::NEConcatenateLayer> m_Concat;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// permutation for output (only used when input is batch major)</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">mutable</span> std::unique_ptr<arm_compute::NEPermute> m_Permute2;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="comment">//</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="comment">// ACL LSTM arm_compute::Tensors.</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">//</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  std::unique_ptr<arm_compute::Tensor> m_InputToInputWeightsTensor;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  std::unique_ptr<arm_compute::Tensor> m_InputToForgetWeightsTensor;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  std::unique_ptr<arm_compute::Tensor> m_InputToCellWeightsTensor;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  std::unique_ptr<arm_compute::Tensor> m_InputToOutputWeightsTensor;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  std::unique_ptr<arm_compute::Tensor> m_RecurrentToInputWeightsTensor;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  std::unique_ptr<arm_compute::Tensor> m_RecurrentToForgetWeightsTensor;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  std::unique_ptr<arm_compute::Tensor> m_RecurrentToCellWeightsTensor;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  std::unique_ptr<arm_compute::Tensor> m_RecurrentToOutputWeightsTensor;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  std::unique_ptr<arm_compute::Tensor> m_CellToInputWeightsTensor;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  std::unique_ptr<arm_compute::Tensor> m_CellToForgetWeightsTensor;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::unique_ptr<arm_compute::Tensor> m_CellToOutputWeightsTensor;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  std::unique_ptr<arm_compute::Tensor> m_InputGateBiasTensor;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  std::unique_ptr<arm_compute::Tensor> m_ForgetGateBiasTensor;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  std::unique_ptr<arm_compute::Tensor> m_CellBiasTensor;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  std::unique_ptr<arm_compute::Tensor> m_OutputGateBiasTensor;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  std::unique_ptr<arm_compute::Tensor> m_ProjectionWeightsTensor;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  std::unique_ptr<arm_compute::Tensor> m_ProjectionBiasTensor;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  std::unique_ptr<arm_compute::Tensor> m_ScratchBuffer;</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>  std::unique_ptr<arm_compute::Tensor> m_InputLayerNormWeightsTensor;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  std::unique_ptr<arm_compute::Tensor> m_ForgetLayerNormWeightsTensor;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  std::unique_ptr<arm_compute::Tensor> m_CellLayerNormWeightsTensor;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  std::unique_ptr<arm_compute::Tensor> m_OutputLayerNormWeightsTensor;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">//</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">// Additional ACL arm_compute::Tensors and std::vector<arm_compute::Tensor>.</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">// Required to perform splitting, concatenation and permutations.</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">//</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  arm_compute::Tensor m_PermuteFirstOut;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  std::vector<arm_compute::Tensor> m_SplitterOutputsTensors;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::vector<arm_compute::Tensor> m_ConcatInputsTensors;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::vector<arm_compute::ITensor*> m_SplitterOutputs;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  std::vector<const arm_compute::ITensor*> m_ConcatInputs;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  arm_compute::Tensor concat_out;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordtype">void</span> FreeUnusedTensors();</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> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <a class="code" href="namespacearmnn.xhtml#a963622d85527f420f0b922ef27de4f6b">NeonUnidirectionalSequenceLstmFloatWorkloadValidate</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="l00086"></a><span class="lineno"> 86</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="l00087"></a><span class="lineno"> 87</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="l00088"></a><span class="lineno"> 88</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="l00089"></a><span class="lineno"> 89</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="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">UnidirectionalSequenceLstmDescriptor</a>& descriptor,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</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#l00152">Tensor.hpp:152</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> -<div class="ttc" id="_lstm_params_8hpp_xhtml"><div class="ttname"><a href="_lstm_params_8hpp.xhtml">LstmParams.hpp</a></div></div> -<div class="ttc" id="structarmnn_1_1_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00063">LstmParams.hpp:63</a></div></div> -<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01049">Descriptors.hpp:1049</a></div></div> -<div class="ttc" id="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml">armnn::NeonUnidirectionalSequenceLstmFloatWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml#l00021">NeonUnidirectionalSequenceLstmFloatWorkload.hpp:21</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#l00042">Types.hpp:42</a></div></div> -<div class="ttc" id="classarmnn_1_1_typed_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_typed_workload.xhtml">armnn::TypedWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00094">Workload.hpp:94</a></div></div> -<div class="ttc" id="namespacearmnn_xhtml_a963622d85527f420f0b922ef27de4f6b"><div class="ttname"><a href="namespacearmnn.xhtml#a963622d85527f420f0b922ef27de4f6b">armnn::NeonUnidirectionalSequenceLstmFloatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonUnidirectionalSequenceLstmFloatWorkloadValidate(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_unidirectional_sequence_lstm_float_workload_8cpp_source.xhtml#l00510">NeonUnidirectionalSequenceLstmFloatWorkload.cpp:510</a></div></div> -<div class="ttc" id="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonUnidirectionalSequenceLstmFloatWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_unidirectional_sequence_lstm_float_workload_8cpp_source.xhtml#l00484">NeonUnidirectionalSequenceLstmFloatWorkload.cpp:484</a></div></div> -<div class="ttc" id="_workload_8hpp_xhtml"><div class="ttname"><a href="_workload_8hpp.xhtml">Workload.hpp</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="_descriptors_8hpp_xhtml"><div class="ttname"><a href="_descriptors_8hpp.xhtml">Descriptors.hpp</a></div></div> -<div class="ttc" id="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload_xhtml_acceeccc54cc2871ec72da81e48e7ef1c"><div class="ttname"><a href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml#acceeccc54cc2871ec72da81e48e7ef1c">armnn::NeonUnidirectionalSequenceLstmFloatWorkload::NeonUnidirectionalSequenceLstmFloatWorkload</a></div><div class="ttdeci">NeonUnidirectionalSequenceLstmFloatWorkload(const UnidirectionalSequenceLstmQueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_unidirectional_sequence_lstm_float_workload_8cpp_source.xhtml#l00032">NeonUnidirectionalSequenceLstmFloatWorkload.cpp:32</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 TensorInfos of 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_unidirectional_sequence_lstm_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.xhtml">armnn::UnidirectionalSequenceLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00686">WorkloadData.hpp:686</a></div></div> +<a href="_neon_unidirectional_sequence_lstm_float_workload_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 © 2022 Arm Ltd and Contributors. All rights reserved.</span></div> +<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> +<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> +<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> +<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> +<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.xhtml">armnn/Descriptors.hpp</a>></span></div> +<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_lstm_params_8hpp.xhtml">armnn/LstmParams.hpp</a>></span></div> +<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_workload_8hpp.xhtml">armnn/backends/Workload.hpp</a>></span></div> +<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.xhtml">armnn/backends/WorkloadData.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="preprocessor">#include "arm_compute/runtime/NEON/functions/NELSTMLayer.h"</span></div> +<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "arm_compute/runtime/NEON/functions/NEPermute.h"</span></div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "arm_compute/runtime/NEON/functions/NESplit.h"</span></div> +<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h"</span></div> +<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  </div> +<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml"> 21</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml">NeonUnidirectionalSequenceLstmFloatWorkload</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_typed_workload.xhtml">FloatWorkload</a><UnidirectionalSequenceLstmQueueDescriptor></div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="keyword">public</span>:</div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml#acceeccc54cc2871ec72da81e48e7ef1c">NeonUnidirectionalSequenceLstmFloatWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.xhtml">UnidirectionalSequenceLstmQueueDescriptor</a>& descriptor,</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</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="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">Execute</a>() <span class="keyword">const override</span>;</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> <span class="keyword">private</span>:</div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  </div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="comment">//</span></div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="comment">// ACL layers required to fully form a Unidirectional Sequence LSTM layer.</span></div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="comment">//</span></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>  <span class="comment">// permutation for input (only used when input is batch major)</span></div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">mutable</span> std::unique_ptr<arm_compute::NEPermute> m_Permute1;</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">mutable</span> std::unique_ptr<arm_compute::IFunction> m_Splitter;</div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">mutable</span> std::vector<std::unique_ptr<arm_compute::NELSTMLayer>> m_Layers;</div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">mutable</span> std::unique_ptr<arm_compute::NEConcatenateLayer> m_Concat;</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// permutation for output (only used when input is batch major)</span></div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">mutable</span> std::unique_ptr<arm_compute::NEPermute> m_Permute2;</div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="comment">//</span></div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="comment">// ACL LSTM arm_compute::Tensors.</span></div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">//</span></div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  std::unique_ptr<arm_compute::Tensor> m_InputToInputWeightsTensor;</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  std::unique_ptr<arm_compute::Tensor> m_InputToForgetWeightsTensor;</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  std::unique_ptr<arm_compute::Tensor> m_InputToCellWeightsTensor;</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  std::unique_ptr<arm_compute::Tensor> m_InputToOutputWeightsTensor;</div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  std::unique_ptr<arm_compute::Tensor> m_RecurrentToInputWeightsTensor;</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  std::unique_ptr<arm_compute::Tensor> m_RecurrentToForgetWeightsTensor;</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  std::unique_ptr<arm_compute::Tensor> m_RecurrentToCellWeightsTensor;</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  std::unique_ptr<arm_compute::Tensor> m_RecurrentToOutputWeightsTensor;</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  std::unique_ptr<arm_compute::Tensor> m_CellToInputWeightsTensor;</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  std::unique_ptr<arm_compute::Tensor> m_CellToForgetWeightsTensor;</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::unique_ptr<arm_compute::Tensor> m_CellToOutputWeightsTensor;</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  std::unique_ptr<arm_compute::Tensor> m_InputGateBiasTensor;</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  std::unique_ptr<arm_compute::Tensor> m_ForgetGateBiasTensor;</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  std::unique_ptr<arm_compute::Tensor> m_CellBiasTensor;</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  std::unique_ptr<arm_compute::Tensor> m_OutputGateBiasTensor;</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  std::unique_ptr<arm_compute::Tensor> m_ProjectionWeightsTensor;</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  std::unique_ptr<arm_compute::Tensor> m_ProjectionBiasTensor;</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  </div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  std::unique_ptr<arm_compute::Tensor> m_ScratchBuffer;</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>  std::unique_ptr<arm_compute::Tensor> m_InputLayerNormWeightsTensor;</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  std::unique_ptr<arm_compute::Tensor> m_ForgetLayerNormWeightsTensor;</div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  std::unique_ptr<arm_compute::Tensor> m_CellLayerNormWeightsTensor;</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  std::unique_ptr<arm_compute::Tensor> m_OutputLayerNormWeightsTensor;</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  </div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">//</span></div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">// Additional ACL arm_compute::Tensors and std::vector<arm_compute::Tensor>.</span></div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">// Required to perform splitting, concatenation and permutations.</span></div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">//</span></div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  arm_compute::Tensor m_PermuteFirstOut;</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  std::vector<arm_compute::Tensor> m_SplitterOutputsTensors;</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::vector<arm_compute::Tensor> m_ConcatInputsTensors;</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::vector<arm_compute::ITensor*> m_SplitterOutputs;</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  std::vector<const arm_compute::ITensor*> m_ConcatInputs;</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  arm_compute::Tensor concat_out;</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  </div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordtype">void</span> FreeUnusedTensors();</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>  </div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a></div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <a class="code" href="namespacearmnn.xhtml#a963622d85527f420f0b922ef27de4f6b">NeonUnidirectionalSequenceLstmFloatWorkloadValidate</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="l00086"></a><span class="lineno"> 86</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="l00087"></a><span class="lineno"> 87</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="l00088"></a><span class="lineno"> 88</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="l00089"></a><span class="lineno"> 89</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="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& output,</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml">UnidirectionalSequenceLstmDescriptor</a>& descriptor,</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params_info.xhtml">LstmInputParamsInfo</a>& paramsInfo);</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  </div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> } <span class="comment">//namespace armnn</span></div> </div><!-- fragment --></div><!-- contents --> </div><!-- doc-content --> +<div class="ttc" id="a_lstm_params_8hpp_xhtml"><div class="ttname"><a href="_lstm_params_8hpp.xhtml">LstmParams.hpp</a></div></div> +<div class="ttc" id="astructarmnn_1_1_lstm_input_params_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params_info.xhtml">armnn::LstmInputParamsInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.xhtml#l00063">LstmParams.hpp:63</a></div></div> +<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml">armnn::LstmDescriptor</a></div><div class="ttdoc">An LstmDescriptor for the LstmLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01049">Descriptors.hpp:1049</a></div></div> +<div class="ttc" id="a_workload_8hpp_xhtml"><div class="ttname"><a href="_workload_8hpp.xhtml">Workload.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload_xhtml_acceeccc54cc2871ec72da81e48e7ef1c"><div class="ttname"><a href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml#acceeccc54cc2871ec72da81e48e7ef1c">armnn::NeonUnidirectionalSequenceLstmFloatWorkload::NeonUnidirectionalSequenceLstmFloatWorkload</a></div><div class="ttdeci">NeonUnidirectionalSequenceLstmFloatWorkload(const UnidirectionalSequenceLstmQueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_unidirectional_sequence_lstm_float_workload_8cpp_source.xhtml#l00032">NeonUnidirectionalSequenceLstmFloatWorkload.cpp:32</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml">armnn::NeonUnidirectionalSequenceLstmFloatWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_unidirectional_sequence_lstm_float_workload_8hpp_source.xhtml#l00021">NeonUnidirectionalSequenceLstmFloatWorkload.hpp:21</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.xhtml">armnn::UnidirectionalSequenceLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00686">WorkloadData.hpp:686</a></div></div> +<div class="ttc" id="aclassarmnn_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#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a963622d85527f420f0b922ef27de4f6b"><div class="ttname"><a href="namespacearmnn.xhtml#a963622d85527f420f0b922ef27de4f6b">armnn::NeonUnidirectionalSequenceLstmFloatWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonUnidirectionalSequenceLstmFloatWorkloadValidate(const TensorInfo &input, const TensorInfo &outputStateIn, const TensorInfo &cellStateIn, const TensorInfo &outputStateOut, const TensorInfo &cellStateOut, const TensorInfo &output, const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParamsInfo &paramsInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_unidirectional_sequence_lstm_float_workload_8cpp_source.xhtml#l00510">NeonUnidirectionalSequenceLstmFloatWorkload.cpp:510</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00042">Types.hpp:42</a></div></div> +<div class="ttc" id="astructarmnn_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 TensorInfos of 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="a_descriptors_8hpp_xhtml"><div class="ttname"><a href="_descriptors_8hpp.xhtml">Descriptors.hpp</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_typed_workload_xhtml"><div class="ttname"><a href="classarmnn_1_1_typed_workload.xhtml">armnn::TypedWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.xhtml#l00094">Workload.hpp:94</a></div></div> +<div class="ttc" id="a_workload_data_8hpp_xhtml"><div class="ttname"><a href="_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div> +<div class="ttc" id="aclassarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload_xhtml_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">armnn::NeonUnidirectionalSequenceLstmFloatWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_unidirectional_sequence_lstm_float_workload_8cpp_source.xhtml#l00484">NeonUnidirectionalSequenceLstmFloatWorkload.cpp:484</a></div></div> <!-- start footer part --> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_d86eb514662c7c08e168285f21d00ea1.xhtml">neon</a></li><li class="navelem"><a 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