Gitiles
Code Review Sign In
review.mlplatform.org / ml / armnn / refs/heads/gh-pages / . / latest / _ref_unidirectional_sequence_lstm_workload_8cpp_source.html
blob: a61d4c611da46cb5a51078c66974b0334fee4aaa [file] [log] [blame]
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]1<!-- HTML header for doxygen 1.8.17-->
2<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
3<html xmlns="http://www.w3.org/1999/xhtml">
4<head>
5<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
6<meta http-equiv="X-UA-Compatible" content="IE=9"/>
7<meta name="generator" content="Doxygen 1.8.17"/>
8<meta name="viewport" content="width=device-width, initial-scale=1"/>
9<title>Arm NN: src/backends/reference/workloads/RefUnidirectionalSequenceLstmWorkload.cpp Source File</title>
10<link href="tabs.css" rel="stylesheet" type="text/css"/>
11<script type="text/javascript" src="jquery.js"></script>
12<script type="text/javascript" src="dynsections.js"></script>
13<link href="navtree.css" rel="stylesheet" type="text/css"/>
14<script type="text/javascript" src="resize.js"></script>
15<script type="text/javascript" src="navtreedata.js"></script>
16<script type="text/javascript" src="navtree.js"></script>
17<link href="search/search.css" rel="stylesheet" type="text/css"/>
18<script type="text/javascript" src="search/searchdata.js"></script>
19<script type="text/javascript" src="search/search.js"></script>
20<script type="text/x-mathjax-config">
21 MathJax.Hub.Config({
22 extensions: ["tex2jax.js"],
23 jax: ["input/TeX","output/HTML-CSS"],
24});
25</script>
26<script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
27<link href="doxygen.css" rel="stylesheet" type="text/css" />
28<link href="customdoxygen.css" rel="stylesheet" type="text/css"/>
29</head>
30<body>
31<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
32<div id="titlearea">
33<table cellspacing="0" cellpadding="0">
34 <tbody>
35 <tr style="height: 56px;">
36 <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/>
37 <td id="projectalign" style="padding-left: 0.9em;">
38 <div id="projectname">
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]39 &#160;<span id="projectnumber">24.05</span>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]40 </div>
41 </td>
42 </tr>
43 </tbody>
44</table>
45</div>
46<!-- end header part -->
47<!-- Generated by Doxygen 1.8.17 -->
48<script type="text/javascript">
49/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
50var searchBox = new SearchBox("searchBox", "search",false,'Search');
51/* @license-end */
52</script>
53<script type="text/javascript" src="menudata.js"></script>
54<script type="text/javascript" src="menu.js"></script>
55<script type="text/javascript">
56/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
57$(function() {
58 initMenu('',true,false,'search.php','Search');
59 $(document).ready(function() { init_search(); });
60});
61/* @license-end */</script>
62<div id="main-nav"></div>
63</div><!-- top -->
64<div id="side-nav" class="ui-resizable side-nav-resizable">
65 <div id="nav-tree">
66 <div id="nav-tree-contents">
67 <div id="nav-sync" class="sync"></div>
68 </div>
69 </div>
70 <div id="splitbar" style="-moz-user-select:none;"
71 class="ui-resizable-handle">
72 </div>
73</div>
74<script type="text/javascript">
75/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&amp;dn=gpl-2.0.txt GPL-v2 */
76$(document).ready(function(){initNavTree('_ref_unidirectional_sequence_lstm_workload_8cpp_source.html',''); initResizable(); });
77/* @license-end */
78</script>
79<div id="doc-content">
80<!-- window showing the filter options -->
81<div id="MSearchSelectWindow"
82 onmouseover="return searchBox.OnSearchSelectShow()"
83 onmouseout="return searchBox.OnSearchSelectHide()"
84 onkeydown="return searchBox.OnSearchSelectKey(event)">
85</div>
86
87<!-- iframe showing the search results (closed by default) -->
88<div id="MSearchResultsWindow">
89<iframe src="javascript:void(0)" frameborder="0"
90 name="MSearchResults" id="MSearchResults">
91</iframe>
92</div>
93
94<div class="header">
95 <div class="headertitle">
96<div class="title">RefUnidirectionalSequenceLstmWorkload.cpp</div> </div>
97</div><!--header-->
98<div class="contents">
99<a href="_ref_unidirectional_sequence_lstm_workload_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
100<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2021-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
101<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
102<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
103<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
104<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_ref_unidirectional_sequence_lstm_workload_8hpp.html">RefUnidirectionalSequenceLstmWorkload.hpp</a>&quot;</span></div>
105<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_activation_8hpp.html">Activation.hpp</a>&quot;</span></div>
106<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_encoders_8hpp.html">Encoders.hpp</a>&quot;</span></div>
107<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_decoders_8hpp.html">Decoders.hpp</a>&quot;</span></div>
108<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_lstm_8hpp.html">Lstm.hpp</a>&quot;</span></div>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_lstm_utils_8hpp.html">LstmUtils.hpp</a>&quot;</span></div>
110<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>&quot;</span></div>
111<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; </div>
112<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_permute_8hpp.html">armnnUtils/Permute.hpp</a>&gt;</span></div>
113<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; </div>
114<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
115<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;{</div>
116<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; </div>
117<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#a012324a56cbf03d956d317178a0c4923"> 19</a></span>&#160;<a class="code" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#a012324a56cbf03d956d317178a0c4923">RefUnidirectionalSequenceLstmWorkload::RefUnidirectionalSequenceLstmWorkload</a>(</div>
118<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html">UnidirectionalSequenceLstmQueueDescriptor</a>&amp; descriptor,</div>
119<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info)</div>
120<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; : <a class="code" href="classarmnn_1_1_ref_base_workload.html">RefBaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html">UnidirectionalSequenceLstmQueueDescriptor</a>&gt;(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
121<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; , m_InputToInputWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputToInputWeights))</div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; , m_InputToForgetWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputToForgetWeights))</div>
123<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; , m_InputToCellWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputToCellWeights))</div>
124<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; , m_InputToOutputWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputToOutputWeights))</div>
125<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; , m_RecurrentToInputWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_RecurrentToInputWeights))</div>
126<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; , m_RecurrentToForgetWeightsTensor(<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_RecurrentToForgetWeights))</div>
127<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; , m_RecurrentToCellWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_RecurrentToCellWeights))</div>
128<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; , m_RecurrentToOutputWeightsTensor(<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_RecurrentToOutputWeights))</div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; , m_CellToInputWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_CellToInputWeights))</div>
130<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; , m_CellToForgetWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_CellToForgetWeights))</div>
131<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; , m_CellToOutputWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_CellToOutputWeights))</div>
132<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; , m_InputGateBiasTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputGateBias))</div>
133<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; , m_ForgetGateBiasTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_ForgetGateBias))</div>
134<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; , m_CellBiasTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_CellBias))</div>
135<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; , m_OutputGateBiasTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_OutputGateBias))</div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; , m_ProjectionWeightsTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_ProjectionWeights))</div>
137<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; , m_ProjectionBiasTensor (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_ProjectionBias))</div>
138<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; , m_InputLayerNormWeights (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_InputLayerNormWeights))</div>
139<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; , m_ForgetLayerNormWeights (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_ForgetLayerNormWeights))</div>
140<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; , m_CellLayerNormWeights (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_CellLayerNormWeights))</div>
141<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; , m_OutputLayerNormWeights (<a class="code" href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a>(descriptor.m_OutputLayerNormWeights))</div>
142<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;{}</div>
143<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; </div>
144<div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a"> 46</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefUnidirectionalSequenceLstmWorkload::Execute</a>()<span class="keyword"> const</span></div>
145<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="keyword"></span>{</div>
146<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div>
147<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;}</div>
148<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; </div>
149<div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c"> 51</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefUnidirectionalSequenceLstmWorkload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a>&amp; executionData)</div>
150<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;{</div>
151<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast&lt;</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>*<span class="keyword">&gt;</span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div>
152<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <a class="code" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-&gt;<a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-&gt;<a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div>
153<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;}</div>
154<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; </div>
155<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">RefUnidirectionalSequenceLstmWorkload::Execute</a>(std::vector&lt;ITensorHandle*&gt; inputs,</div>
156<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; std::vector&lt;ITensorHandle*&gt; outputs)<span class="keyword"> const</span></div>
157<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="keyword"></span>{</div>
158<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <a class="code" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a>(<span class="stringliteral">&quot;RefUnidirectionalSequenceLstmWorkload_Execute&quot;</span>);</div>
159<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; </div>
160<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]);</div>
161<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputStateInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[1]);</div>
162<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; cellStateInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[2]);</div>
163<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputStateOutInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[0]);</div>
164<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> cellStateOutInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[1]);</div>
165<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(outputs[2]);</div>
166<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; inputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
167<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; outputShape= outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
168<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keyword">auto</span> inputTensor = <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(inputs[0]-&gt;Map());</div>
169<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; </div>
170<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a>)</div>
171<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; {</div>
172<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="comment">// Permute to time major</span></div>
173<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.html">PermutationVector</a>&amp; mappings = {1U, 0U, 2U};</div>
174<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; std::vector&lt;float&gt; inputValue(inputTensor, inputTensor + inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div>
175<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; inputShape = <a class="code" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), mappings);</div>
176<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(inputShape);</div>
177<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <a class="code" href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a>(inputShape, mappings, inputValue.data(), inputTensor, <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div>
178<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; </div>
179<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; outputShape = <a class="code" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), mappings);</div>
180<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(outputShape);</div>
181<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; }</div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]182<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="comment">// As it is permuted to time major, maxTime is inputShape[0].</span></div>
183<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> maxTime = inputShape[0];</div>
184<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = inputShape[1];</div>
185<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSize = outputShape[2];</div>
186<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputSize = inputShape[2];</div>
187<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; </div>
188<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; TensorInfo scratchInfo = outputInfo;</div>
189<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; scratchInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({batchSize, cellStateInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1]});</div>
190<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; </div>
191<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; std::vector&lt;float&gt; inputGateScratchBuffer;</div>
192<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; std::vector&lt;float&gt; cellScratchBuffer(scratchInfo.GetNumElements(), 0.);</div>
193<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; std::vector&lt;float&gt; forgetGateScratchBuffer(scratchInfo.GetNumElements(), 0.);</div>
194<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; std::vector&lt;float&gt; outputGateScratchBuffer(scratchInfo.GetNumElements(), 0.);</div>
195<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; </div>
196<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; std::vector&lt;float&gt; outputStateOutBuffer(outputStateInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), 0.);</div>
197<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; std::vector&lt;float&gt; cellStateOutBuffer(cellStateInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), 0.);</div>
198<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; </div>
199<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordtype">void</span>* outputStateOutData = outputStateOutBuffer.data();</div>
200<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordtype">void</span>* cellStateOutData = cellStateOutBuffer.data();</div>
201<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; </div>
202<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; std::unique_ptr&lt;Encoder&lt;float&gt;&gt; inputGateScratch;</div>
203<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; std::unique_ptr&lt;Encoder&lt;float&gt;&gt; cellScratch = MakeEncoder&lt;float&gt;(scratchInfo, cellScratchBuffer.data());</div>
204<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; std::unique_ptr&lt;Encoder&lt;float&gt;&gt; forgetGateScratch = MakeEncoder&lt;float&gt;(scratchInfo, forgetGateScratchBuffer.data());</div>
205<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; std::unique_ptr&lt;Encoder&lt;float&gt;&gt; outputGateScratch = MakeEncoder&lt;float&gt;(scratchInfo, outputGateScratchBuffer.data());</div>
206<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; </div>
207<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; inputGateScratchDecoder;</div>
208<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; cellScratchDecoder = MakeDecoder&lt;float&gt;(scratchInfo, cellScratchBuffer.data());</div>
209<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; forgetGateScratchDecoder = MakeDecoder&lt;float&gt;(scratchInfo,</div>
210<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; forgetGateScratchBuffer.data());</div>
211<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; outputGateScratchDecoder = MakeDecoder&lt;float&gt;(scratchInfo,</div>
212<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; outputGateScratchBuffer.data());</div>
213<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; </div>
214<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> useCifg = <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>;</div>
215<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> usePeephole = <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>;</div>
216<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> useLayerNorm = <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>;</div>
217<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; </div>
218<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordflow">if</span> (!useCifg)</div>
219<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; {</div>
220<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; inputGateScratchBuffer.resize(scratchInfo.GetNumElements(), 0.);</div>
221<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; inputGateScratch = MakeEncoder&lt;float&gt;(scratchInfo, inputGateScratchBuffer.data());</div>
222<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; inputGateScratchDecoder = MakeDecoder&lt;float&gt;(scratchInfo, inputGateScratchBuffer.data());</div>
223<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; }</div>
224<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; </div>
225<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; std::unique_ptr&lt;Encoder&lt;float&gt;&gt; outputStateOut = MakeEncoder&lt;float&gt;(outputStateInfo, outputStateOutData);</div>
226<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; std::unique_ptr&lt;Encoder&lt;float&gt;&gt; cellStateOut = MakeEncoder&lt;float&gt;(cellStateInfo, cellStateOutData);</div>
227<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; cellStateOutDecoder = MakeDecoder&lt;float&gt;(cellStateInfo, cellStateOutData);</div>
228<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; </div>
229<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; TensorInfo lstmInputInfo = inputInfo;</div>
230<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; TensorShape batchInputShape = TensorShape({batchSize, inputSize});</div>
231<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; lstmInputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(batchInputShape);</div>
232<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; </div>
233<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; TensorInfo lstmOutputInfo = outputInfo;</div>
234<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; lstmOutputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>({batchSize, outputSize});</div>
235<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; </div>
236<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="keyword">const</span> TensorShape&amp; inputToOutputWeightsShape = m_InputToOutputWeightsTensor-&gt;GetShape();</div>
237<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keyword">const</span> TensorShape&amp; recurrentToOutputWeightsShape = m_RecurrentToOutputWeightsTensor-&gt;GetShape();</div>
238<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> nOutput = recurrentToOutputWeightsShape[1];</div>
239<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keyword">auto</span> outputStateInData = inputs[1]-&gt;Map();</div>
240<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; outputStateIn = MakeDecoder&lt;float&gt;(outputStateInfo, outputStateInData);</div>
241<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; </div>
242<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keyword">auto</span> cellStateInData = inputs[2]-&gt;Map();</div>
243<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; cellStateIn = MakeDecoder&lt;float&gt;(cellStateInfo, cellStateInData);</div>
244<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; </div>
245<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keyword">auto</span> currentInputData = <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(inputs[0]-&gt;Map());</div>
246<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; inputData = MakeDecoder&lt;float&gt;(lstmInputInfo, currentInputData);</div>
247<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keyword">auto</span> currentOutputData = <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(outputs[2]-&gt;Map());</div>
248<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; std::unique_ptr&lt;Encoder&lt;float&gt;&gt; output = MakeEncoder&lt;float&gt;(lstmOutputInfo, currentOutputData);</div>
249<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; outputDecoder = MakeDecoder&lt;float&gt;(lstmOutputInfo, currentOutputData);</div>
250<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; </div>
251<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; inputToInputWeightsTensor;</div>
252<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; inputToForgetWeightsTensor = MakeDecoder&lt;float&gt;(</div>
253<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; m_InputToForgetWeightsTensor-&gt;GetTensorInfo(), m_InputToForgetWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
254<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; inputToCellWeightsTensor = MakeDecoder&lt;float&gt;(</div>
255<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; m_InputToCellWeightsTensor-&gt;GetTensorInfo(), m_InputToCellWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
256<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; inputToOutputWeightsTensor = MakeDecoder&lt;float&gt;(</div>
257<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; m_InputToOutputWeightsTensor-&gt;GetTensorInfo(), m_InputToOutputWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
258<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; </div>
259<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; recurrentToInputWeightsTensor;</div>
260<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; recurrentToForgetWeightsTensor = MakeDecoder&lt;float&gt;(</div>
261<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; m_RecurrentToForgetWeightsTensor-&gt;GetTensorInfo(), m_RecurrentToForgetWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
262<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; recurrentToCellWeightsTensor = MakeDecoder&lt;float&gt;(</div>
263<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; m_RecurrentToCellWeightsTensor-&gt;GetTensorInfo(), m_RecurrentToCellWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
264<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; recurrentToOutputWeightsTensor = MakeDecoder&lt;float&gt;(</div>
265<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; m_RecurrentToOutputWeightsTensor-&gt;GetTensorInfo(), m_RecurrentToOutputWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
266<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; </div>
267<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; inputGateBiasTensor;</div>
268<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; forgetGateBiasTensor = MakeDecoder&lt;float&gt;(</div>
269<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; m_ForgetGateBiasTensor-&gt;GetTensorInfo(), m_ForgetGateBiasTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
270<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; cellBiasTensor = MakeDecoder&lt;float&gt;(</div>
271<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; m_CellBiasTensor-&gt;GetTensorInfo(), m_CellBiasTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
272<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; outputGateBiasTensor = MakeDecoder&lt;float&gt;(</div>
273<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; m_OutputGateBiasTensor-&gt;GetTensorInfo(), m_OutputGateBiasTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
274<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; </div>
275<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; cellToInputWeightsTensor;</div>
276<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; cellToForgetWeightsTensor;</div>
277<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; cellToOutputWeightsTensor;</div>
278<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; </div>
279<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; projectionWeightsTensor;</div>
280<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; projectionBiasTensor;</div>
281<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; </div>
282<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; inputLayerNormWeights;</div>
283<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; forgetLayerNormWeights;</div>
284<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; cellLayerNormWeights;</div>
285<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; std::unique_ptr&lt;Decoder&lt;float&gt;&gt; outputLayerNormWeights;</div>
286<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; </div>
287<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="keywordflow">if</span> (useLayerNorm)</div>
288<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; {</div>
289<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keywordflow">if</span> (!useCifg)</div>
290<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; {</div>
291<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; inputLayerNormWeights = MakeDecoder&lt;float&gt;(</div>
292<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; m_InputLayerNormWeights-&gt;GetTensorInfo(), m_InputLayerNormWeights-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
293<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; }</div>
294<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; forgetLayerNormWeights = MakeDecoder&lt;float&gt;(</div>
295<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; m_ForgetLayerNormWeights-&gt;GetTensorInfo(), m_ForgetLayerNormWeights-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
296<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; cellLayerNormWeights = MakeDecoder&lt;float&gt;(</div>
297<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; m_CellLayerNormWeights-&gt;GetTensorInfo(), m_CellLayerNormWeights-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
298<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; outputLayerNormWeights = MakeDecoder&lt;float&gt;(</div>
299<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; m_OutputLayerNormWeights-&gt;GetTensorInfo(), m_OutputLayerNormWeights-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
300<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; }</div>
301<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; </div>
302<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; <span class="keywordflow">if</span> (!useCifg)</div>
303<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; {</div>
304<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; inputToInputWeightsTensor = MakeDecoder&lt;float&gt;(</div>
305<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; m_InputToInputWeightsTensor-&gt;GetTensorInfo(), m_InputToInputWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
306<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; inputGateBiasTensor = MakeDecoder&lt;float&gt;(</div>
307<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; m_InputGateBiasTensor-&gt;GetTensorInfo(), m_InputGateBiasTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
308<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; recurrentToInputWeightsTensor = MakeDecoder&lt;float&gt;(</div>
309<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; m_RecurrentToInputWeightsTensor-&gt;GetTensorInfo(), m_RecurrentToInputWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
310<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; }</div>
311<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; </div>
312<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="keywordflow">if</span> (usePeephole)</div>
313<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; {</div>
314<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; cellToForgetWeightsTensor = MakeDecoder&lt;float&gt;(</div>
315<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; m_CellToForgetWeightsTensor-&gt;GetTensorInfo(), m_CellToForgetWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
316<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; cellToOutputWeightsTensor = MakeDecoder&lt;float&gt;(</div>
317<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; m_CellToOutputWeightsTensor-&gt;GetTensorInfo(), m_CellToOutputWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
318<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; }</div>
319<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; </div>
320<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <span class="keywordflow">if</span> (!useCifg &amp;&amp; usePeephole)</div>
321<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; {</div>
322<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; cellToInputWeightsTensor = MakeDecoder&lt;float&gt;(</div>
323<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; m_CellToInputWeightsTensor-&gt;GetTensorInfo(), m_CellToInputWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
324<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; }</div>
325<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; </div>
326<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div>
327<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; {</div>
328<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; projectionWeightsTensor = MakeDecoder&lt;float&gt;(</div>
329<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; m_ProjectionWeightsTensor-&gt;GetTensorInfo(), m_ProjectionWeightsTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
330<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <span class="keywordflow">if</span> (m_ProjectionBiasTensor)</div>
331<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; {</div>
332<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; projectionBiasTensor = MakeDecoder&lt;float&gt;(</div>
333<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; m_ProjectionBiasTensor-&gt;GetTensorInfo(), m_ProjectionBiasTensor-&gt;GetConstTensor&lt;<span class="keywordtype">void</span>&gt;());</div>
334<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; }</div>
335<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; }</div>
336<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; </div>
337<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchInputSize = batchSize * inputSize;</div>
338<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchOutputSize = batchSize * nOutput;</div>
339<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; </div>
340<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> t = 0; t &lt; maxTime; ++t)</div>
341<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; {</div>
342<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <a class="code" href="namespacearmnn.html#a952423703fa6b92f18d19df3995633b4">LstmImpl</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
343<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; lstmInputInfo,</div>
344<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; lstmOutputInfo,</div>
345<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; inputToOutputWeightsShape,</div>
346<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; recurrentToOutputWeightsShape,</div>
347<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; inputData,</div>
348<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; outputStateIn,</div>
349<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; cellStateIn,</div>
350<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; outputStateOut,</div>
351<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; cellStateOut,</div>
352<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; output,</div>
353<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; cellStateOutDecoder,</div>
354<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160; outputDecoder,</div>
355<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160; inputToInputWeightsTensor,</div>
356<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160; inputToForgetWeightsTensor,</div>
357<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; inputToCellWeightsTensor,</div>
358<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; inputToOutputWeightsTensor,</div>
359<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; recurrentToInputWeightsTensor,</div>
360<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; recurrentToForgetWeightsTensor,</div>
361<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; recurrentToCellWeightsTensor,</div>
362<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; recurrentToOutputWeightsTensor,</div>
363<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; cellToInputWeightsTensor,</div>
364<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; cellToForgetWeightsTensor,</div>
365<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; cellToOutputWeightsTensor,</div>
366<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; inputGateBiasTensor,</div>
367<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; forgetGateBiasTensor,</div>
368<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; cellBiasTensor,</div>
369<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; outputGateBiasTensor,</div>
370<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; projectionWeightsTensor,</div>
371<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; projectionBiasTensor,</div>
372<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; inputLayerNormWeights,</div>
373<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; forgetLayerNormWeights,</div>
374<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; cellLayerNormWeights,</div>
375<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; outputLayerNormWeights,</div>
376<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; inputGateScratch,</div>
377<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; cellScratch,</div>
378<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; forgetGateScratch,</div>
379<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; outputGateScratch,</div>
380<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; inputGateScratchDecoder,</div>
381<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; cellScratchDecoder,</div>
382<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; forgetGateScratchDecoder,</div>
383<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; outputGateScratchDecoder,</div>
384<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; m_LayerNormEpsilon);</div>
385<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; </div>
386<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; currentInputData += batchInputSize;</div>
387<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; inputData = MakeDecoder&lt;float&gt;(lstmInputInfo, currentInputData);</div>
388<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; currentOutputData += batchOutputSize;</div>
389<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; output = MakeEncoder&lt;float&gt;(lstmOutputInfo, currentOutputData);</div>
390<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; outputDecoder = MakeDecoder&lt;float&gt;(lstmOutputInfo, currentOutputData);</div>
391<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; </div>
392<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; <span class="comment">// Assign output state out to the next output state in</span></div>
393<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; outputStateIn = MakeDecoder&lt;float&gt;(outputStateInfo, outputStateOutData);</div>
394<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; </div>
395<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; <span class="comment">// Assign cell state out to the next cell state in</span></div>
396<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; cellStateIn = MakeDecoder&lt;float&gt;(cellStateInfo, cellStateOutData);</div>
397<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; }</div>
398<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; </div>
399<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.html#a3dcd10ca3ea2e132558b1e2814668c15">m_TimeMajor</a>)</div>
400<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; {</div>
401<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="comment">// Permute Output back to batch major</span></div>
402<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; <span class="keyword">const</span> PermutationVector&amp; mappings = {1U, 0U, 2U};</div>
403<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; <span class="keyword">auto</span> outputData = <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(outputs[2]-&gt;Map());</div>
404<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; std::vector&lt;float&gt; outputValue(outputData, outputData + outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div>
405<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; outputShape = <a class="code" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), mappings);</div>
406<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(outputShape);</div>
407<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <a class="code" href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a>(outputShape, mappings, outputValue.data(), outputData, <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div>
408<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160; }</div>
409<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160;}</div>
410<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; </div>
411<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160;} <span class="comment">//namespace armnn</span></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]412</div><!-- fragment --></div><!-- contents -->
413</div><!-- doc-content -->
Nikhil Raj38b600d2024-02-15 15:02:19 +0000[diff] [blame]414<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]415<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a3dcd10ca3ea2e132558b1e2814668c15"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a3dcd10ca3ea2e132558b1e2814668c15">armnn::LstmDescriptor::m_TimeMajor</a></div><div class="ttdeci">bool m_TimeMajor</div><div class="ttdoc">Enable/disable time major.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01154">Descriptors.hpp:1154</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]416<div class="ttc" id="a_lstm_8hpp_html"><div class="ttname"><a href="_lstm_8hpp.html">Lstm.hpp</a></div></div>
417<div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html_ad2b382076f26f48cd44783cfca2e3642"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">armnn::experimental::ExecutionData::m_Data</a></div><div class="ttdeci">void * m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00016">ExecutionData.hpp:16</a></div></div>
418<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
419<div class="ttc" id="a_lstm_utils_8cpp_html_a8618ae0c77638e01069fdb0063cabb3f"><div class="ttname"><a href="_lstm_utils_8cpp.html#a8618ae0c77638e01069fdb0063cabb3f">AssignScopedTensorHandle</a></div><div class="ttdeci">std::unique_ptr&lt; armnn::ScopedTensorHandle &gt; AssignScopedTensorHandle(const armnn::ConstTensorHandle *ptr)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_utils_8cpp_source.html#l00299">LstmUtils.cpp:299</a></div></div>
420<div class="ttc" id="aclassarmnn_1_1_ref_unidirectional_sequence_lstm_workload_html_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefUnidirectionalSequenceLstmWorkload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &amp;executionData) override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_unidirectional_sequence_lstm_workload_8cpp_source.html#l00051">RefUnidirectionalSequenceLstmWorkload.cpp:51</a></div></div>
421<div class="ttc" id="a_ref_workload_utils_8hpp_html_a06acca4fd832e0fb179604112c0505af"><div class="ttname"><a href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00022">RefWorkloadUtils.hpp:22</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]422<div class="ttc" id="anamespacearmnn_utils_html_af3c74017185773dd61d8ca6662d65d43"><div class="ttname"><a href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a></div><div class="ttdeci">void Permute(const armnn::TensorShape &amp;dstShape, const armnn::PermutationVector &amp;mappings, const void *src, void *dst, size_t dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.html#l00164">Permute.cpp:164</a></div></div>
423<div class="ttc" id="anamespacearmnn_utils_html_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &amp;srcShape, const armnn::PermutationVector &amp;mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.html#l00125">Permute.cpp:125</a></div></div>
424<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a2837b4396f20c956952d1a7286cab5f8">armnn::LstmDescriptor::m_PeepholeEnabled</a></div><div class="ttdeci">bool m_PeepholeEnabled</div><div class="ttdoc">Enable/disable peephole.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01148">Descriptors.hpp:1148</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]425<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
426<div class="ttc" id="anamespacearmnn_html_a952423703fa6b92f18d19df3995633b4"><div class="ttname"><a href="namespacearmnn.html#a952423703fa6b92f18d19df3995633b4">armnn::LstmImpl</a></div><div class="ttdeci">void LstmImpl(const LstmDescriptor &amp;descriptor, const TensorInfo &amp;inputInfo, const TensorInfo &amp;outputInfo, const TensorShape &amp;inputToOutputWeightsShape, const TensorShape &amp;recurrentToOutputWeightsShape, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;inputData, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;outputStateIn, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;cellStateIn, std::unique_ptr&lt; Encoder&lt; float &gt;&gt; &amp;outputStateOut, std::unique_ptr&lt; Encoder&lt; float &gt;&gt; &amp;cellStateOut, std::unique_ptr&lt; Encoder&lt; float &gt;&gt; &amp;output, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;cellStateOutDecoder, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;outputDecoder, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;inputToInputWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;inputToForgetWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;inputToCellWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;inputToOutputWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;recurrentToInputWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;recurrentToForgetWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;recurrentToCellWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;recurrentToOutputWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;cellToInputWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;cellToForgetWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;cellToOutputWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;inputGateBiasTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;forgetGateBiasTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;cellBiasTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;outputGateBiasTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;projectionWeightsTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;projectionBiasTensor, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;inputLayerNormWeights, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;forgetLayerNormWeights, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;cellLayerNormWeights, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;outputLayerNormWeights, std::unique_ptr&lt; Encoder&lt; float &gt;&gt; &amp;inputGateScratch, std::unique_ptr&lt; Encoder&lt; float &gt;&gt; &amp;cellScratch, std::unique_ptr&lt; Encoder&lt; float &gt;&gt; &amp;forgetGateScratch, std::unique_ptr&lt; Encoder&lt; float &gt;&gt; &amp;outputGateScratch, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;inputGateScratchDecoder, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;cellScratchDecoder, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;forgetGateScratchDecoder, std::unique_ptr&lt; Decoder&lt; float &gt;&gt; &amp;outputGateScratchDecoder, float layerNormEpsilon)</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_8cpp_source.html#l00013">Lstm.cpp:13</a></div></div>
427<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div>
428<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
429<div class="ttc" id="aclassarmnn_1_1_ref_unidirectional_sequence_lstm_workload_html_a012324a56cbf03d956d317178a0c4923"><div class="ttname"><a href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#a012324a56cbf03d956d317178a0c4923">armnn::RefUnidirectionalSequenceLstmWorkload::RefUnidirectionalSequenceLstmWorkload</a></div><div class="ttdeci">RefUnidirectionalSequenceLstmWorkload(const UnidirectionalSequenceLstmQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_unidirectional_sequence_lstm_workload_8cpp_source.html#l00019">RefUnidirectionalSequenceLstmWorkload.cpp:19</a></div></div>
430<div class="ttc" id="anamespacearmnn_html_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00033">RefWorkloadUtils.hpp:33</a></div></div>
431<div class="ttc" id="a_activation_8hpp_html"><div class="ttname"><a href="_activation_8hpp.html">Activation.hpp</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]432<div class="ttc" id="aclassarmnn_1_1_permutation_vector_html"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00314">Types.hpp:314</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]433<div class="ttc" id="a_permute_8hpp_html"><div class="ttname"><a href="_permute_8hpp.html">Permute.hpp</a></div></div>
434<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
435<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div>
436<div class="ttc" id="aclassarmnn_1_1_ref_unidirectional_sequence_lstm_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::RefUnidirectionalSequenceLstmWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_unidirectional_sequence_lstm_workload_8cpp_source.html#l00046">RefUnidirectionalSequenceLstmWorkload.cpp:46</a></div></div>
437<div class="ttc" id="a_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]438<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable cifg (coupled input &amp; forget gate).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01146">Descriptors.hpp:1146</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]439<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload&lt; UnidirectionalSequenceLstmQueueDescriptor &gt;::m_Data</a></div><div class="ttdeci">UnidirectionalSequenceLstmQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
Nikhil Raj38b600d2024-02-15 15:02:19 +0000[diff] [blame]440<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]441<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a4a8ec49f130084445d44297549254780">armnn::LstmDescriptor::m_LayerNormEnabled</a></div><div class="ttdeci">bool m_LayerNormEnabled</div><div class="ttdoc">Enable/disable layer normalization.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01152">Descriptors.hpp:1152</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]442<div class="ttc" id="a_decoders_8hpp_html"><div class="ttname"><a href="_decoders_8hpp.html">Decoders.hpp</a></div></div>
443<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::experimental::WorkingMemDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00020">WorkingMemDescriptor.hpp:20</a></div></div>
Nikhil Raj38b600d2024-02-15 15:02:19 +0000[diff] [blame]444<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &amp;newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00195">Tensor.hpp:195</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]445<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">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.html#l00006">01_00_quick_start.dox:6</a></div></div>
446<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">armnn::experimental::WorkingMemDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00018">WorkingMemDescriptor.hpp:18</a></div></div>
Nikhil Raj6f92c8e2023-11-22 11:41:15 +0000[diff] [blame]447<div class="ttc" id="astructarmnn_1_1_lstm_descriptor_html_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.html#a6c9de81fc65b3c4924cab11907075a17">armnn::LstmDescriptor::m_ProjectionEnabled</a></div><div class="ttdeci">bool m_ProjectionEnabled</div><div class="ttdoc">Enable/disable the projection layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01150">Descriptors.hpp:1150</a></div></div>
448<div class="ttc" id="astructarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_unidirectional_sequence_lstm_queue_descriptor.html">armnn::UnidirectionalSequenceLstmQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00696">WorkloadData.hpp:696</a></div></div>
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]449<div class="ttc" id="a_lstm_utils_8hpp_html"><div class="ttname"><a href="_lstm_utils_8hpp.html">LstmUtils.hpp</a></div></div>
450<div class="ttc" id="a_encoders_8hpp_html"><div class="ttname"><a href="_encoders_8hpp.html">Encoders.hpp</a></div></div>
451<div class="ttc" id="aclassarmnn_1_1_ref_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_ref_base_workload.html">armnn::RefBaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_ref_base_workload_8hpp_source.html#l00013">RefBaseWorkload.hpp:13</a></div></div>
452<div class="ttc" id="a_ref_unidirectional_sequence_lstm_workload_8hpp_html"><div class="ttname"><a href="_ref_unidirectional_sequence_lstm_workload_8hpp.html">RefUnidirectionalSequenceLstmWorkload.hpp</a></div></div>
453<div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::experimental::WorkingMemDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00021">WorkingMemDescriptor.hpp:21</a></div></div>
454<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
455<div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html">armnn::experimental::ExecutionData</a></div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00014">ExecutionData.hpp:14</a></div></div>
456<!-- start footer part -->
457<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
458 <ul>
459 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_efae4012d0e357ebeaba7d02491d70e5.html">reference</a></li><li class="navelem"><a class="el" href="dir_d2f3b8e2e64df3181ebe92efcc0a3012.html">workloads</a></li><li class="navelem"><a class="el" href="_ref_unidirectional_sequence_lstm_workload_8cpp.html">RefUnidirectionalSequenceLstmWorkload.cpp</a></li>
Nikhil Raj1dc83fe2024-05-16 09:47:51 +0100[diff] [blame]460 <li class="footer">Generated on Thu May 16 2024 09:31:49 for Arm NN by
Nikhil Raj03c7ff32023-08-22 12:00:04 +0100[diff] [blame]461 <a href="http://www.doxygen.org/index.html">
462 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li>
463 </ul>
464</div>
465</body>
466</html>