1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
|
<!-- Copyright (c) 2020 ARM Limited. -->
<!-- -->
<!-- SPDX-License-Identifier: MIT -->
<!-- -->
<!-- HTML header for doxygen 1.8.13-->
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.13"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>ArmNN: LstmQueueDescriptor Struct Reference</title>
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
$(document).ready(initResizable);
</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
extensions: ["tex2jax.js"],
jax: ["input/TeX","output/HTML-CSS"],
});
</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
<link href="stylesheet.css" rel="stylesheet" type="text/css"/>
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
<img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/>
<td style="padding-left: 0.5em;">
<div id="projectname">
 <span id="projectnumber">20.02</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.13 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
$(function() {
initMenu('',true,false,'search.php','Search');
$(document).ready(function() { init_search(); });
});
</script>
<div id="main-nav"></div>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
<div id="nav-tree">
<div id="nav-tree-contents">
<div id="nav-sync" class="sync"></div>
</div>
</div>
<div id="splitbar" style="-moz-user-select:none;"
class="ui-resizable-handle">
</div>
</div>
<script type="text/javascript">
$(document).ready(function(){initNavTree('structarmnn_1_1_lstm_queue_descriptor.xhtml','');});
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
</div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0"
name="MSearchResults" id="MSearchResults">
</iframe>
</div>
<div class="header">
<div class="summary">
<a href="#pub-methods">Public Member Functions</a> |
<a href="#pub-attribs">Public Attributes</a> |
<a href="structarmnn_1_1_lstm_queue_descriptor-members.xhtml">List of all members</a> </div>
<div class="headertitle">
<div class="title">LstmQueueDescriptor Struct Reference</div> </div>
</div><!--header-->
<div class="contents">
<p><code>#include <<a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>></code></p>
<div class="dynheader">
Inheritance diagram for LstmQueueDescriptor:</div>
<div class="dyncontent">
<div class="center">
<img src="structarmnn_1_1_lstm_queue_descriptor.png" usemap="#LstmQueueDescriptor_map" alt=""/>
<map id="LstmQueueDescriptor_map" name="LstmQueueDescriptor_map">
<area href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml" alt="QueueDescriptorWithParameters< LstmDescriptor >" shape="rect" coords="0,56,305,80"/>
<area href="structarmnn_1_1_queue_descriptor.xhtml" alt="QueueDescriptor" shape="rect" coords="0,0,305,24"/>
</map>
</div></div>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a1f701da89f9eeded946647212e5eebc9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a1f701da89f9eeded946647212e5eebc9">LstmQueueDescriptor</a> ()</td></tr>
<tr class="separator:a1f701da89f9eeded946647212e5eebc9"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a041e495449e22774a34d92b0904c10bf"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a041e495449e22774a34d92b0904c10bf">Validate</a> (const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &workloadInfo) const</td></tr>
<tr class="separator:a041e495449e22774a34d92b0904c10bf"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pub_methods_structarmnn_1_1_queue_descriptor"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_structarmnn_1_1_queue_descriptor')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a></td></tr>
<tr class="memitem:a765d2cee4ccce5b9467e0c2b6d25b84a inherit pub_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a> (const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</td></tr>
<tr class="separator:a765d2cee4ccce5b9467e0c2b6d25b84a inherit pub_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-attribs"></a>
Public Attributes</h2></td></tr>
<tr class="memitem:a08a1932be591c315a512a877d38b22df"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a></td></tr>
<tr class="separator:a08a1932be591c315a512a877d38b22df"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a3ea82566d98c5a657c76c3d851c47848"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a></td></tr>
<tr class="separator:a3ea82566d98c5a657c76c3d851c47848"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a28ad98d17603fd8b12e046f8ece58970"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a></td></tr>
<tr class="separator:a28ad98d17603fd8b12e046f8ece58970"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a83dc9086b2e4a4e4cadb66bd874df798"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a></td></tr>
<tr class="separator:a83dc9086b2e4a4e4cadb66bd874df798"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a98d377149071d8842d610cc0734d1cfe"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a></td></tr>
<tr class="separator:a98d377149071d8842d610cc0734d1cfe"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a45d73e66cbb2b65049e4016c20657ccf"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a></td></tr>
<tr class="separator:a45d73e66cbb2b65049e4016c20657ccf"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aea142bd50ffb93631c2e08324ec92a1e"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a></td></tr>
<tr class="separator:aea142bd50ffb93631c2e08324ec92a1e"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:adebc1771e5a1f4b113a7aa594ea74d2c"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a></td></tr>
<tr class="separator:adebc1771e5a1f4b113a7aa594ea74d2c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a5c1c0a7ead7273788976c9e97cffaab7"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a></td></tr>
<tr class="separator:a5c1c0a7ead7273788976c9e97cffaab7"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:acefa49d7faf26933e27e473e7bdb4175"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a></td></tr>
<tr class="separator:acefa49d7faf26933e27e473e7bdb4175"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6f74071b0e07bbe2cb20a8f78826e084"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a></td></tr>
<tr class="separator:a6f74071b0e07bbe2cb20a8f78826e084"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:acb3aade8fae984f7293e222dcbe66030"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a></td></tr>
<tr class="separator:acb3aade8fae984f7293e222dcbe66030"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aba3ffe91d818266b8785ce971548eb59"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a></td></tr>
<tr class="separator:aba3ffe91d818266b8785ce971548eb59"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a75980b5795efd899a0c678a06a900c6d"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a></td></tr>
<tr class="separator:a75980b5795efd899a0c678a06a900c6d"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a332551528a4b3534c2d6c89ce816fcd9"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a></td></tr>
<tr class="separator:a332551528a4b3534c2d6c89ce816fcd9"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:af3c52626a6f05597d82ed095d0765962"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a></td></tr>
<tr class="separator:af3c52626a6f05597d82ed095d0765962"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a2ba352eb1fdf6dc5ecf7f2e6b6b48f94"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a></td></tr>
<tr class="separator:a2ba352eb1fdf6dc5ecf7f2e6b6b48f94"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a9cc28aa4fff6ba9a8abdb340c1abdd57"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a></td></tr>
<tr class="separator:a9cc28aa4fff6ba9a8abdb340c1abdd57"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a453a4af385d0c060c9aac990fceaa1ef"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a></td></tr>
<tr class="separator:a453a4af385d0c060c9aac990fceaa1ef"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a518f0195d0278a892b49649b8860d17f"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a></td></tr>
<tr class="separator:a518f0195d0278a892b49649b8860d17f"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aa3f07e27230d6d99adc2c82ba681df2b"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a></td></tr>
<tr class="separator:aa3f07e27230d6d99adc2c82ba681df2b"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pub_attribs_structarmnn_1_1_queue_descriptor_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pub_attribs_structarmnn_1_1_queue_descriptor_with_parameters')"><img src="closed.png" alt="-"/> Public Attributes inherited from <a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters< LstmDescriptor ></a></td></tr>
<tr class="memitem:aad91b9bbf7aa365d304febe79a3d1333 inherit pub_attribs_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_lstm_descriptor.xhtml">LstmDescriptor</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a></td></tr>
<tr class="separator:aad91b9bbf7aa365d304febe79a3d1333 inherit pub_attribs_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pub_attribs_structarmnn_1_1_queue_descriptor"><td colspan="2" onclick="javascript:toggleInherit('pub_attribs_structarmnn_1_1_queue_descriptor')"><img src="closed.png" alt="-"/> Public Attributes inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a></td></tr>
<tr class="memitem:a4b50e46a6810018f3edecfb68b2a76b3 inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> * > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a></td></tr>
<tr class="separator:a4b50e46a6810018f3edecfb68b2a76b3 inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6abd491bb99ffe88bd472c1ae5a1ed1a inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> * > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a></td></tr>
<tr class="separator:a6abd491bb99ffe88bd472c1ae5a1ed1a inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
Additional Inherited Members</h2></td></tr>
<tr class="inherit_header pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_structarmnn_1_1_queue_descriptor_with_parameters')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters< LstmDescriptor ></a></td></tr>
<tr class="memitem:a52679b441422256016dc6f5b5e9193d5 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#a52679b441422256016dc6f5b5e9193d5">~QueueDescriptorWithParameters</a> ()=default</td></tr>
<tr class="separator:a52679b441422256016dc6f5b5e9193d5 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6f269eb32757efa5b203091c52e985fd inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#a6f269eb32757efa5b203091c52e985fd">QueueDescriptorWithParameters</a> ()=default</td></tr>
<tr class="separator:a6f269eb32757efa5b203091c52e985fd inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6cbdcaa9cab857077a3810788e2cf489 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#a6cbdcaa9cab857077a3810788e2cf489">QueueDescriptorWithParameters</a> (<a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters</a> const &)=default</td></tr>
<tr class="separator:a6cbdcaa9cab857077a3810788e2cf489 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aa86bd03df9faf133a34e263f16486707 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aa86bd03df9faf133a34e263f16486707">operator=</a> (<a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters</a> const &)=default</td></tr>
<tr class="separator:aa86bd03df9faf133a34e263f16486707 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pro_methods_structarmnn_1_1_queue_descriptor"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_structarmnn_1_1_queue_descriptor')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a></td></tr>
<tr class="memitem:af67c3785421c91d37fb22132d441f704 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#af67c3785421c91d37fb22132d441f704">~QueueDescriptor</a> ()=default</td></tr>
<tr class="separator:af67c3785421c91d37fb22132d441f704 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a40f14131fbead7c8eaf32b67eedd9e01 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a40f14131fbead7c8eaf32b67eedd9e01">QueueDescriptor</a> ()=default</td></tr>
<tr class="separator:a40f14131fbead7c8eaf32b67eedd9e01 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a75d3b85e1e50b1dff74ee84a593d089e inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a75d3b85e1e50b1dff74ee84a593d089e">QueueDescriptor</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> const &)=default</td></tr>
<tr class="separator:a75d3b85e1e50b1dff74ee84a593d089e inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a1c928b975a0de05cf2536c721ba6b521 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a1c928b975a0de05cf2536c721ba6b521">operator=</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> const &)=default</td></tr>
<tr class="separator:a1c928b975a0de05cf2536c721ba6b521 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00358">358</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
<a id="a1f701da89f9eeded946647212e5eebc9"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a1f701da89f9eeded946647212e5eebc9">◆ </a></span>LstmQueueDescriptor()</h2>
<div class="memitem">
<div class="memproto">
<table class="mlabels">
<tr>
<td class="mlabels-left">
<table class="memname">
<tr>
<td class="memname"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</a> </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
<td></td>
</tr>
</table>
</td>
<td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span> </td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00360">360</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  : <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  , <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div><div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a45d73e66cbb2b65049e4016c20657ccf"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">armnn::LstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00390">WorkloadData.hpp:390</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a6f74071b0e07bbe2cb20a8f78826e084"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">armnn::LstmQueueDescriptor::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00395">WorkloadData.hpp:395</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a28ad98d17603fd8b12e046f8ece58970"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">armnn::LstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00387">WorkloadData.hpp:387</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a83dc9086b2e4a4e4cadb66bd874df798"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">armnn::LstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00388">WorkloadData.hpp:388</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a2ba352eb1fdf6dc5ecf7f2e6b6b48f94"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">armnn::LstmQueueDescriptor::m_ProjectionBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00401">WorkloadData.hpp:401</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a332551528a4b3534c2d6c89ce816fcd9"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">armnn::LstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00399">WorkloadData.hpp:399</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a5c1c0a7ead7273788976c9e97cffaab7"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">armnn::LstmQueueDescriptor::m_CellToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00393">WorkloadData.hpp:393</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a518f0195d0278a892b49649b8860d17f"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">armnn::LstmQueueDescriptor::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00404">WorkloadData.hpp:404</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_acefa49d7faf26933e27e473e7bdb4175"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">armnn::LstmQueueDescriptor::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00394">WorkloadData.hpp:394</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a75980b5795efd899a0c678a06a900c6d"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">armnn::LstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00398">WorkloadData.hpp:398</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a98d377149071d8842d610cc0734d1cfe"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">armnn::LstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00389">WorkloadData.hpp:389</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a9cc28aa4fff6ba9a8abdb340c1abdd57"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">armnn::LstmQueueDescriptor::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00402">WorkloadData.hpp:402</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aa3f07e27230d6d99adc2c82ba681df2b"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">armnn::LstmQueueDescriptor::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00405">WorkloadData.hpp:405</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aba3ffe91d818266b8785ce971548eb59"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">armnn::LstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00397">WorkloadData.hpp:397</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a08a1932be591c315a512a877d38b22df"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">armnn::LstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00385">WorkloadData.hpp:385</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_adebc1771e5a1f4b113a7aa594ea74d2c"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">armnn::LstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00392">WorkloadData.hpp:392</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a453a4af385d0c060c9aac990fceaa1ef"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">armnn::LstmQueueDescriptor::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00403">WorkloadData.hpp:403</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_acb3aade8fae984f7293e222dcbe66030"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">armnn::LstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00396">WorkloadData.hpp:396</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aea142bd50ffb93631c2e08324ec92a1e"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">armnn::LstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00391">WorkloadData.hpp:391</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_af3c52626a6f05597d82ed095d0765962"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">armnn::LstmQueueDescriptor::m_ProjectionWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00400">WorkloadData.hpp:400</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a3ea82566d98c5a657c76c3d851c47848"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">armnn::LstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00386">WorkloadData.hpp:386</a></div></div>
</div><!-- fragment -->
</div>
</div>
<h2 class="groupheader">Member Function Documentation</h2>
<a id="a041e495449e22774a34d92b0904c10bf"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a041e495449e22774a34d92b0904c10bf">◆ </a></span>Validate()</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">void Validate </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td>
<td class="paramname"><em>workloadInfo</em></td><td>)</td>
<td> const</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.xhtml#l01747">1747</a> of file <a class="el" href="_workload_data_8cpp_source.xhtml">WorkloadData.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo::m_OutputTensorInfos</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
<div class="fragment"><div class="line"><a name="l01748"></a><span class="lineno"> 1748</span> {</div><div class="line"><a name="l01749"></a><span class="lineno"> 1749</span>  <span class="comment">// ported from android/ml/nn/common/operations/LSTM.cpp CheckInputTensorDimensions()</span></div><div class="line"><a name="l01750"></a><span class="lineno"> 1750</span> </div><div class="line"><a name="l01751"></a><span class="lineno"> 1751</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"LstmQueueDescriptor"</span>};</div><div class="line"><a name="l01752"></a><span class="lineno"> 1752</span> </div><div class="line"><a name="l01753"></a><span class="lineno"> 1753</span>  <span class="comment">// check dimensions of all inputs and outputs</span></div><div class="line"><a name="l01754"></a><span class="lineno"> 1754</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size() != 3)</div><div class="line"><a name="l01755"></a><span class="lineno"> 1755</span>  {</div><div class="line"><a name="l01756"></a><span class="lineno"> 1756</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid number of inputs."</span>);</div><div class="line"><a name="l01757"></a><span class="lineno"> 1757</span>  }</div><div class="line"><a name="l01758"></a><span class="lineno"> 1758</span>  <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() != 4)</div><div class="line"><a name="l01759"></a><span class="lineno"> 1759</span>  {</div><div class="line"><a name="l01760"></a><span class="lineno"> 1760</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid number of outputs."</span>);</div><div class="line"><a name="l01761"></a><span class="lineno"> 1761</span>  }</div><div class="line"><a name="l01762"></a><span class="lineno"> 1762</span> </div><div class="line"><a name="l01763"></a><span class="lineno"> 1763</span>  std::vector<DataType> supportedTypes =</div><div class="line"><a name="l01764"></a><span class="lineno"> 1764</span>  {</div><div class="line"><a name="l01765"></a><span class="lineno"> 1765</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01766"></a><span class="lineno"> 1766</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01767"></a><span class="lineno"> 1767</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01768"></a><span class="lineno"> 1768</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01769"></a><span class="lineno"> 1769</span>  };</div><div class="line"><a name="l01770"></a><span class="lineno"> 1770</span> </div><div class="line"><a name="l01771"></a><span class="lineno"> 1771</span>  <span class="comment">// check for supported type of one input and match them with all the other input and output</span></div><div class="line"><a name="l01772"></a><span class="lineno"> 1772</span>  ValidateDataTypes(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0], supportedTypes, descriptorName);</div><div class="line"><a name="l01773"></a><span class="lineno"> 1773</span> </div><div class="line"><a name="l01774"></a><span class="lineno"> 1774</span>  <span class="comment">// type matches all other inputs</span></div><div class="line"><a name="l01775"></a><span class="lineno"> 1775</span>  <span class="keywordflow">for</span> (uint32_t i = 1u; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>.size(); ++i)</div><div class="line"><a name="l01776"></a><span class="lineno"> 1776</span>  {</div><div class="line"><a name="l01777"></a><span class="lineno"> 1777</span>  ValidateTensorDataTypesMatch(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0],</div><div class="line"><a name="l01778"></a><span class="lineno"> 1778</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[i],</div><div class="line"><a name="l01779"></a><span class="lineno"> 1779</span>  descriptorName,</div><div class="line"><a name="l01780"></a><span class="lineno"> 1780</span>  <span class="stringliteral">"input_0"</span>,</div><div class="line"><a name="l01781"></a><span class="lineno"> 1781</span>  <span class="stringliteral">"input_"</span> + std::to_string(i));</div><div class="line"><a name="l01782"></a><span class="lineno"> 1782</span>  }</div><div class="line"><a name="l01783"></a><span class="lineno"> 1783</span>  <span class="comment">// type matches all other outputs</span></div><div class="line"><a name="l01784"></a><span class="lineno"> 1784</span>  <span class="keywordflow">for</span> (uint32_t i = 0u; i < workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size(); ++i)</div><div class="line"><a name="l01785"></a><span class="lineno"> 1785</span>  {</div><div class="line"><a name="l01786"></a><span class="lineno"> 1786</span>  ValidateTensorDataTypesMatch(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0],</div><div class="line"><a name="l01787"></a><span class="lineno"> 1787</span>  workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[i],</div><div class="line"><a name="l01788"></a><span class="lineno"> 1788</span>  <span class="stringliteral">"LstmQueueDescriptor"</span>,</div><div class="line"><a name="l01789"></a><span class="lineno"> 1789</span>  <span class="stringliteral">"input_0"</span>,</div><div class="line"><a name="l01790"></a><span class="lineno"> 1790</span>  <span class="stringliteral">"output_"</span> + std::to_string(i));</div><div class="line"><a name="l01791"></a><span class="lineno"> 1791</span>  }</div><div class="line"><a name="l01792"></a><span class="lineno"> 1792</span> </div><div class="line"><a name="l01793"></a><span class="lineno"> 1793</span>  <span class="comment">// Making sure clipping parameters have valid values.</span></div><div class="line"><a name="l01794"></a><span class="lineno"> 1794</span>  <span class="comment">// == 0 means no clipping</span></div><div class="line"><a name="l01795"></a><span class="lineno"> 1795</span>  <span class="comment">// > 0 means clipping</span></div><div class="line"><a name="l01796"></a><span class="lineno"> 1796</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">m_ClippingThresCell</a> < 0.0f)</div><div class="line"><a name="l01797"></a><span class="lineno"> 1797</span>  {</div><div class="line"><a name="l01798"></a><span class="lineno"> 1798</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": negative cell clipping threshold is invalid"</span>);</div><div class="line"><a name="l01799"></a><span class="lineno"> 1799</span>  }</div><div class="line"><a name="l01800"></a><span class="lineno"> 1800</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">m_ClippingThresProj</a> < 0.0f)</div><div class="line"><a name="l01801"></a><span class="lineno"> 1801</span>  {</div><div class="line"><a name="l01802"></a><span class="lineno"> 1802</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": negative projection clipping threshold is invalid"</span>);</div><div class="line"><a name="l01803"></a><span class="lineno"> 1803</span>  }</div><div class="line"><a name="l01804"></a><span class="lineno"> 1804</span> </div><div class="line"><a name="l01805"></a><span class="lineno"> 1805</span> </div><div class="line"><a name="l01806"></a><span class="lineno"> 1806</span>  <span class="comment">// Inferring batch size, number of outputs and number of cells from the inputs.</span></div><div class="line"><a name="l01807"></a><span class="lineno"> 1807</span>  <span class="keyword">const</span> uint32_t n_input = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[1];</div><div class="line"><a name="l01808"></a><span class="lineno"> 1808</span>  <span class="keyword">const</span> uint32_t n_batch = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[0];</div><div class="line"><a name="l01809"></a><span class="lineno"> 1809</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"InputToOutputWeights"</span>);</div><div class="line"><a name="l01810"></a><span class="lineno"> 1810</span>  <span class="keyword">const</span> uint32_t n_cell = <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">m_InputToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()[0];</div><div class="line"><a name="l01811"></a><span class="lineno"> 1811</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"RecurrentToOutputWeights"</span>);</div><div class="line"><a name="l01812"></a><span class="lineno"> 1812</span>  <span class="keyword">const</span> uint32_t n_output = <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">m_RecurrentToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">GetShape</a>()[1];</div><div class="line"><a name="l01813"></a><span class="lineno"> 1813</span> </div><div class="line"><a name="l01814"></a><span class="lineno"> 1814</span>  <span class="comment">// input tensor</span></div><div class="line"><a name="l01815"></a><span class="lineno"> 1815</span>  ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0], 2, (n_batch * n_input),</div><div class="line"><a name="l01816"></a><span class="lineno"> 1816</span>  descriptorName + <span class="stringliteral">" input_0"</span>);</div><div class="line"><a name="l01817"></a><span class="lineno"> 1817</span>  <span class="comment">// outputStateInTensor</span></div><div class="line"><a name="l01818"></a><span class="lineno"> 1818</span>  ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[1], 2, (n_batch * n_output),</div><div class="line"><a name="l01819"></a><span class="lineno"> 1819</span>  descriptorName + <span class="stringliteral">" input_1"</span>);</div><div class="line"><a name="l01820"></a><span class="lineno"> 1820</span>  <span class="comment">// outputStateInTensor</span></div><div class="line"><a name="l01821"></a><span class="lineno"> 1821</span>  ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[2], 2, (n_batch * n_cell),</div><div class="line"><a name="l01822"></a><span class="lineno"> 1822</span>  descriptorName + <span class="stringliteral">" input_2"</span>);</div><div class="line"><a name="l01823"></a><span class="lineno"> 1823</span>  <span class="comment">// scratchBufferTensor</span></div><div class="line"><a name="l01824"></a><span class="lineno"> 1824</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> scratchBufferSize = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a> ? n_cell * 3 : n_cell * 4;</div><div class="line"><a name="l01825"></a><span class="lineno"> 1825</span>  ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0], 2, (n_batch * scratchBufferSize),</div><div class="line"><a name="l01826"></a><span class="lineno"> 1826</span>  descriptorName + <span class="stringliteral">" output_0"</span>);</div><div class="line"><a name="l01827"></a><span class="lineno"> 1827</span>  <span class="comment">// outputStateOutTensor</span></div><div class="line"><a name="l01828"></a><span class="lineno"> 1828</span>  ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[1], 2, (n_batch * n_output),</div><div class="line"><a name="l01829"></a><span class="lineno"> 1829</span>  descriptorName + <span class="stringliteral">" output_1"</span>);</div><div class="line"><a name="l01830"></a><span class="lineno"> 1830</span>  <span class="comment">// cellStateOutTensor</span></div><div class="line"><a name="l01831"></a><span class="lineno"> 1831</span>  ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[2], 2, (n_batch * n_cell),</div><div class="line"><a name="l01832"></a><span class="lineno"> 1832</span>  descriptorName + <span class="stringliteral">" output_2"</span>);</div><div class="line"><a name="l01833"></a><span class="lineno"> 1833</span>  <span class="comment">// outputTensor</span></div><div class="line"><a name="l01834"></a><span class="lineno"> 1834</span>  ValidateTensorNumDimNumElem(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[3], 2, (n_batch * n_output),</div><div class="line"><a name="l01835"></a><span class="lineno"> 1835</span>  descriptorName + <span class="stringliteral">" output_3"</span>);</div><div class="line"><a name="l01836"></a><span class="lineno"> 1836</span> </div><div class="line"><a name="l01837"></a><span class="lineno"> 1837</span> </div><div class="line"><a name="l01838"></a><span class="lineno"> 1838</span>  <span class="comment">// check that dimensions of inputs/outputs and QueueDescriptor data match with each other</span></div><div class="line"><a name="l01839"></a><span class="lineno"> 1839</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a> )</div><div class="line"><a name="l01840"></a><span class="lineno"> 1840</span>  {</div><div class="line"><a name="l01841"></a><span class="lineno"> 1841</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01842"></a><span class="lineno"> 1842</span>  (n_cell * n_input), <span class="stringliteral">"InputLayerNormWeights"</span>);</div><div class="line"><a name="l01843"></a><span class="lineno"> 1843</span>  }</div><div class="line"><a name="l01844"></a><span class="lineno"> 1844</span> </div><div class="line"><a name="l01845"></a><span class="lineno"> 1845</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"InputToForgetWeights"</span>);</div><div class="line"><a name="l01846"></a><span class="lineno"> 1846</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">m_InputToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01847"></a><span class="lineno"> 1847</span>  (n_cell * n_input), <span class="stringliteral">"InputToForgetWeights"</span>);</div><div class="line"><a name="l01848"></a><span class="lineno"> 1848</span> </div><div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"InputToCellWeights"</span>);</div><div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">m_InputToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>  (n_cell * n_input), <span class="stringliteral">"InputToCellWeights"</span>);</div><div class="line"><a name="l01852"></a><span class="lineno"> 1852</span> </div><div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a> )</div><div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>  {</div><div class="line"><a name="l01855"></a><span class="lineno"> 1855</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01856"></a><span class="lineno"> 1856</span>  (n_cell * n_output), <span class="stringliteral">"RecurrentToInputWeights"</span>);</div><div class="line"><a name="l01857"></a><span class="lineno"> 1857</span>  }</div><div class="line"><a name="l01858"></a><span class="lineno"> 1858</span> </div><div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"RecurrentToForgetWeights"</span>);</div><div class="line"><a name="l01860"></a><span class="lineno"> 1860</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">m_RecurrentToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>  (n_cell * n_output), <span class="stringliteral">"RecurrentToForgetWeights"</span>);</div><div class="line"><a name="l01862"></a><span class="lineno"> 1862</span> </div><div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"RecurrentToCellWeights"</span>);</div><div class="line"><a name="l01864"></a><span class="lineno"> 1864</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">m_RecurrentToCellWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>  (n_cell * n_output), <span class="stringliteral">"RecurrentToCellWeights"</span>);</div><div class="line"><a name="l01866"></a><span class="lineno"> 1866</span> </div><div class="line"><a name="l01867"></a><span class="lineno"> 1867</span>  <span class="comment">// Make sure the input-gate's parameters are either both present (regular</span></div><div class="line"><a name="l01868"></a><span class="lineno"> 1868</span>  <span class="comment">// LSTM) or not at all (CIFG-LSTM). And CifgEnable is set accordingly.</span></div><div class="line"><a name="l01869"></a><span class="lineno"> 1869</span>  <span class="keywordtype">bool</span> cifg_weights_all_or_none = ((<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a> && <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a> &&</div><div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>  !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) ||</div><div class="line"><a name="l01871"></a><span class="lineno"> 1871</span>  (!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">m_InputToInputWeights</a> && !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">m_RecurrentToInputWeights</a> &&</div><div class="line"><a name="l01872"></a><span class="lineno"> 1872</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>));</div><div class="line"><a name="l01873"></a><span class="lineno"> 1873</span>  <span class="keywordflow">if</span> (!cifg_weights_all_or_none)</div><div class="line"><a name="l01874"></a><span class="lineno"> 1874</span>  {</div><div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Input-Gate's parameters InputToInputWeights and "</span></div><div class="line"><a name="l01876"></a><span class="lineno"> 1876</span>  <span class="stringliteral">"RecurrentToInputWeights must either both be present (regular LSTM) "</span></div><div class="line"><a name="l01877"></a><span class="lineno"> 1877</span>  <span class="stringliteral">"or both not present (CIFG-LSTM). In addition CifgEnable must be set "</span></div><div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>  <span class="stringliteral">"accordingly."</span>);</div><div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>  }</div><div class="line"><a name="l01880"></a><span class="lineno"> 1880</span> </div><div class="line"><a name="l01881"></a><span class="lineno"> 1881</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a> )</div><div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>  {</div><div class="line"><a name="l01883"></a><span class="lineno"> 1883</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div><div class="line"><a name="l01884"></a><span class="lineno"> 1884</span>  n_cell, <span class="stringliteral">"CellToInputWeights"</span>);</div><div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>  }</div><div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a> )</div><div class="line"><a name="l01887"></a><span class="lineno"> 1887</span>  {</div><div class="line"><a name="l01888"></a><span class="lineno"> 1888</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div><div class="line"><a name="l01889"></a><span class="lineno"> 1889</span>  n_cell, <span class="stringliteral">"CellToForgetWeights"</span>);</div><div class="line"><a name="l01890"></a><span class="lineno"> 1890</span>  }</div><div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>  <span class="keywordflow">if</span> ( <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a> )</div><div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>  {</div><div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div><div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>  n_cell, <span class="stringliteral">"CellToOutputWeights"</span>);</div><div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>  }</div><div class="line"><a name="l01896"></a><span class="lineno"> 1896</span> </div><div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>  <span class="comment">// Making sure the peephole weights are there all or none. And PeepholeEnable is set accordingly.</span></div><div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>  <span class="keywordtype">bool</span> peephole_weights_all_or_none =</div><div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>  (((<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a> || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>) && <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a></div><div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>  && <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a> && <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>)</div><div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>  || ( !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">m_CellToInputWeights</a> && !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">m_CellToForgetWeights</a></div><div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>  && !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">m_CellToOutputWeights</a> && !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a2837b4396f20c956952d1a7286cab5f8">m_PeepholeEnabled</a>));</div><div class="line"><a name="l01903"></a><span class="lineno"> 1903</span>  <span class="keywordflow">if</span> (!peephole_weights_all_or_none)</div><div class="line"><a name="l01904"></a><span class="lineno"> 1904</span>  {</div><div class="line"><a name="l01905"></a><span class="lineno"> 1905</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Invalid combination of peephole parameters."</span>);</div><div class="line"><a name="l01906"></a><span class="lineno"> 1906</span>  }</div><div class="line"><a name="l01907"></a><span class="lineno"> 1907</span> </div><div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>  <span class="comment">// Make sure the input gate bias is present only when not a CIFG-LSTM.</span></div><div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div><div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>  {</div><div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>)</div><div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>  {</div><div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": InputGateBias is present and CIFG-LSTM is enabled."</span>);</div><div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>  }</div><div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>  }</div><div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>  {</div><div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>)</div><div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>  {</div><div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": If CIFG-LSTM is disabled InputGateBias "</span></div><div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  <span class="stringliteral">"must be present."</span>);</div><div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>  }</div><div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">m_InputGateBias</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1,</div><div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>  n_cell, <span class="stringliteral">"InputGateBias"</span>);</div><div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>  }</div><div class="line"><a name="l01926"></a><span class="lineno"> 1926</span> </div><div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"ForgetGateBias"</span>);</div><div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">m_ForgetGateBias</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"ForgetGateBias"</span>);</div><div class="line"><a name="l01929"></a><span class="lineno"> 1929</span> </div><div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"CellBias"</span>);</div><div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">m_CellBias</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"CellBias"</span>);</div><div class="line"><a name="l01932"></a><span class="lineno"> 1932</span> </div><div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a>, <span class="stringliteral">"Null pointer check"</span>, <span class="stringliteral">"OutputGateBias"</span>);</div><div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">m_OutputGateBias</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"OutputGateBias"</span>);</div><div class="line"><a name="l01935"></a><span class="lineno"> 1935</span> </div><div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a>)</div><div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>  {</div><div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 2,</div><div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  (n_cell * n_output), <span class="stringliteral">"ProjectionWeights"</span>);</div><div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>  }</div><div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a>)</div><div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>  {</div><div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_output, <span class="stringliteral">"ProjectionBias"</span>);</div><div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>  }</div><div class="line"><a name="l01945"></a><span class="lineno"> 1945</span> </div><div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>  <span class="comment">// Making sure the projection tensors are consistent:</span></div><div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>  <span class="comment">// 1) If projection weight is not present, then projection bias should not be</span></div><div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  <span class="comment">// present.</span></div><div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>  <span class="comment">// 2) If projection weight is present, then projection bias is optional.</span></div><div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>  <span class="keywordtype">bool</span> projecton_tensors_consistent = ((!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a> && !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a> &&</div><div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  !<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div><div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  || (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a> && !<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a> &&</div><div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>)</div><div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>  || (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">m_ProjectionWeights</a> && <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">m_ProjectionBias</a> &&</div><div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>  <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a6c9de81fc65b3c4924cab11907075a17">m_ProjectionEnabled</a>));</div><div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>  <span class="keywordflow">if</span> (!projecton_tensors_consistent)</div><div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>  {</div><div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Projection tensors are inconsistent."</span>);</div><div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>  }</div><div class="line"><a name="l01960"></a><span class="lineno"> 1960</span> </div><div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  <span class="comment">// The four layer normalization weights either all have values or none of them have values. Additionally, if</span></div><div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  <span class="comment">// CIFG is used, input layer normalization weights tensor is omitted and the other layer normalization weights</span></div><div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>  <span class="comment">// either all have values or none of them have values. Layer normalization is used when the values of all the</span></div><div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>  <span class="comment">// layer normalization weights are present</span></div><div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>)</div><div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  {</div><div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"InputLayerNormWeights"</span>);</div><div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>  }</div><div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a>)</div><div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>  {</div><div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"ForgetLayerNormWeights"</span>);</div><div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>  }</div><div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>)</div><div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>  {</div><div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"CellLayerNormWeights"</span>);</div><div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  }</div><div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a>)</div><div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  {</div><div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"OutputLayerNormWeights"</span>);</div><div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  }</div><div class="line"><a name="l01981"></a><span class="lineno"> 1981</span> </div><div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#a4a8ec49f130084445d44297549254780">m_LayerNormEnabled</a>)</div><div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  {</div><div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">m_CifgEnabled</a>)</div><div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>  {</div><div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>  <span class="keywordflow">if</span> (!<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>)</div><div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>  {</div><div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Layer normalisation is enabled and CIFG-LSTM is "</span></div><div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>  <span class="stringliteral">"disabled but InputLayerNormWeights are not present"</span>);</div><div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>  }</div><div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(),</div><div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  1, n_cell, <span class="stringliteral">"InputLayerNormWeights"</span>);</div><div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>  }</div><div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a>)</div><div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  {</div><div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">":InputLayerNormWeights are present while CIFG is "</span></div><div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  <span class="stringliteral">"enabled"</span>);</div><div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  }</div><div class="line"><a name="l01999"></a><span class="lineno"> 1999</span> </div><div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a>, <span class="stringliteral">"Null pointer check layer normalisation enabled"</span>,</div><div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>  <span class="stringliteral">"ForgetLayerNormWeights"</span>);</div><div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"ForgetLayerNormWeights"</span>);</div><div class="line"><a name="l02003"></a><span class="lineno"> 2003</span> </div><div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a>, <span class="stringliteral">"Null pointer check layer normalisation enabled"</span>,</div><div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  <span class="stringliteral">"OutputLayerNormWeights"</span>);</div><div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"OutputLayerNormWeights"</span>);</div><div class="line"><a name="l02007"></a><span class="lineno"> 2007</span> </div><div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>, <span class="stringliteral">"Null pointer check layer normalisation enabled"</span>,</div><div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>  <span class="stringliteral">"CellLayerNormWeights"</span>);</div><div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  ValidateTensorNumDimNumElem(<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), 1, n_cell, <span class="stringliteral">"CellLayerNormWeights"</span>);</div><div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>  }</div><div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">m_InputLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">m_ForgetLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">m_OutputLayerNormWeights</a> || <a class="code" href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">m_CellLayerNormWeights</a>)</div><div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  {</div><div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">": Layer normalisation is disabled but one or more layer "</span></div><div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>  <span class="stringliteral">"normalisation weights are present."</span>);</div><div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>  }</div><div class="line"><a name="l02017"></a><span class="lineno"> 2017</span> }</div><div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a6c9de81fc65b3c4924cab11907075a17"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#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.xhtml#l00871">Descriptors.hpp:871</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a86e88bef0df4df96df752b4b8955a3af"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a86e88bef0df4df96df752b4b8955a3af">armnn::LstmDescriptor::m_ClippingThresProj</a></div><div class="ttdeci">float m_ClippingThresProj</div><div class="ttdoc">Clipping threshold value for the projection. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00865">Descriptors.hpp:865</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a45d73e66cbb2b65049e4016c20657ccf"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a45d73e66cbb2b65049e4016c20657ccf">armnn::LstmQueueDescriptor::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00390">WorkloadData.hpp:390</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a6f74071b0e07bbe2cb20a8f78826e084"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a6f74071b0e07bbe2cb20a8f78826e084">armnn::LstmQueueDescriptor::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00395">WorkloadData.hpp:395</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a28ad98d17603fd8b12e046f8ece58970"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a28ad98d17603fd8b12e046f8ece58970">armnn::LstmQueueDescriptor::m_InputToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00387">WorkloadData.hpp:387</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a83dc9086b2e4a4e4cadb66bd874df798"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a83dc9086b2e4a4e4cadb66bd874df798">armnn::LstmQueueDescriptor::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00388">WorkloadData.hpp:388</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a2ba352eb1fdf6dc5ecf7f2e6b6b48f94"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">armnn::LstmQueueDescriptor::m_ProjectionBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00401">WorkloadData.hpp:401</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a332551528a4b3534c2d6c89ce816fcd9"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a332551528a4b3534c2d6c89ce816fcd9">armnn::LstmQueueDescriptor::m_OutputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00399">WorkloadData.hpp:399</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a5c1c0a7ead7273788976c9e97cffaab7"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a5c1c0a7ead7273788976c9e97cffaab7">armnn::LstmQueueDescriptor::m_CellToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00393">WorkloadData.hpp:393</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a518f0195d0278a892b49649b8860d17f"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a518f0195d0278a892b49649b8860d17f">armnn::LstmQueueDescriptor::m_CellLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00404">WorkloadData.hpp:404</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_acefa49d7faf26933e27e473e7bdb4175"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acefa49d7faf26933e27e473e7bdb4175">armnn::LstmQueueDescriptor::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00394">WorkloadData.hpp:394</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a75980b5795efd899a0c678a06a900c6d"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a75980b5795efd899a0c678a06a900c6d">armnn::LstmQueueDescriptor::m_CellBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00398">WorkloadData.hpp:398</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a98d377149071d8842d610cc0734d1cfe"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a98d377149071d8842d610cc0734d1cfe">armnn::LstmQueueDescriptor::m_RecurrentToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00389">WorkloadData.hpp:389</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters< LstmDescriptor >::m_Parameters</a></div><div class="ttdeci">LstmDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo.hpp:18</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a9cc28aa4fff6ba9a8abdb340c1abdd57"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a9cc28aa4fff6ba9a8abdb340c1abdd57">armnn::LstmQueueDescriptor::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00402">WorkloadData.hpp:402</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aa3f07e27230d6d99adc2c82ba681df2b"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aa3f07e27230d6d99adc2c82ba681df2b">armnn::LstmQueueDescriptor::m_OutputLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_OutputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00405">WorkloadData.hpp:405</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aba3ffe91d818266b8785ce971548eb59"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aba3ffe91d818266b8785ce971548eb59">armnn::LstmQueueDescriptor::m_ForgetGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00397">WorkloadData.hpp:397</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a8e8d2fbabcac19f9e12779080ddff54e"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a8e8d2fbabcac19f9e12779080ddff54e">armnn::ConstCpuTensorHandle::GetShape</a></div><div class="ttdeci">TensorShape GetShape() const override</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00053">CpuTensorHandle.hpp:53</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a08a1932be591c315a512a877d38b22df"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a08a1932be591c315a512a877d38b22df">armnn::LstmQueueDescriptor::m_InputToInputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00385">WorkloadData.hpp:385</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a2837b4396f20c956952d1a7286cab5f8"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#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.xhtml#l00869">Descriptors.hpp:869</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo.hpp:19</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a531a3907ec13d3772370da88030191a5"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#a531a3907ec13d3772370da88030191a5">armnn::LstmDescriptor::m_ClippingThresCell</a></div><div class="ttdeci">float m_ClippingThresCell</div><div class="ttdoc">Clipping threshold value for the cell state. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00863">Descriptors.hpp:863</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_ad474e5c51a0b194ef32e812b86c0cbdb"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#ad474e5c51a0b194ef32e812b86c0cbdb">armnn::LstmDescriptor::m_CifgEnabled</a></div><div class="ttdeci">bool m_CifgEnabled</div><div class="ttdoc">Enable/disable cifg (coupled input & forget gate). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00867">Descriptors.hpp:867</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_adebc1771e5a1f4b113a7aa594ea74d2c"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#adebc1771e5a1f4b113a7aa594ea74d2c">armnn::LstmQueueDescriptor::m_RecurrentToOutputWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00392">WorkloadData.hpp:392</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a453a4af385d0c060c9aac990fceaa1ef"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a453a4af385d0c060c9aac990fceaa1ef">armnn::LstmQueueDescriptor::m_ForgetLayerNormWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ForgetLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00403">WorkloadData.hpp:403</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_acb3aade8fae984f7293e222dcbe66030"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#acb3aade8fae984f7293e222dcbe66030">armnn::LstmQueueDescriptor::m_InputGateBias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00396">WorkloadData.hpp:396</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_descriptor_xhtml_a4a8ec49f130084445d44297549254780"><div class="ttname"><a href="structarmnn_1_1_lstm_descriptor.xhtml#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.xhtml#l00873">Descriptors.hpp:873</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_aea142bd50ffb93631c2e08324ec92a1e"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#aea142bd50ffb93631c2e08324ec92a1e">armnn::LstmQueueDescriptor::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00391">WorkloadData.hpp:391</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::ConstCpuTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00037">CpuTensorHandle.hpp:37</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_af3c52626a6f05597d82ed095d0765962"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#af3c52626a6f05597d82ed095d0765962">armnn::LstmQueueDescriptor::m_ProjectionWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00400">WorkloadData.hpp:400</a></div></div>
<div class="ttc" id="structarmnn_1_1_lstm_queue_descriptor_xhtml_a3ea82566d98c5a657c76c3d851c47848"><div class="ttname"><a href="structarmnn_1_1_lstm_queue_descriptor.xhtml#a3ea82566d98c5a657c76c3d851c47848">armnn::LstmQueueDescriptor::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00386">WorkloadData.hpp:386</a></div></div>
</div><!-- fragment -->
</div>
</div>
<h2 class="groupheader">Member Data Documentation</h2>
<a id="a75980b5795efd899a0c678a06a900c6d"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a75980b5795efd899a0c678a06a900c6d">◆ </a></span>m_CellBias</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_CellBias</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00398">398</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a518f0195d0278a892b49649b8860d17f"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a518f0195d0278a892b49649b8860d17f">◆ </a></span>m_CellLayerNormWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_CellLayerNormWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00404">404</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="acefa49d7faf26933e27e473e7bdb4175"></a>
<h2 class="memtitle"><span class="permalink"><a href="#acefa49d7faf26933e27e473e7bdb4175">◆ </a></span>m_CellToForgetWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_CellToForgetWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00394">394</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a5c1c0a7ead7273788976c9e97cffaab7"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a5c1c0a7ead7273788976c9e97cffaab7">◆ </a></span>m_CellToInputWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_CellToInputWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00393">393</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a6f74071b0e07bbe2cb20a8f78826e084"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6f74071b0e07bbe2cb20a8f78826e084">◆ </a></span>m_CellToOutputWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_CellToOutputWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00395">395</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="aba3ffe91d818266b8785ce971548eb59"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aba3ffe91d818266b8785ce971548eb59">◆ </a></span>m_ForgetGateBias</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_ForgetGateBias</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00397">397</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a453a4af385d0c060c9aac990fceaa1ef"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a453a4af385d0c060c9aac990fceaa1ef">◆ </a></span>m_ForgetLayerNormWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_ForgetLayerNormWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00403">403</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="acb3aade8fae984f7293e222dcbe66030"></a>
<h2 class="memtitle"><span class="permalink"><a href="#acb3aade8fae984f7293e222dcbe66030">◆ </a></span>m_InputGateBias</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputGateBias</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00396">396</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a9cc28aa4fff6ba9a8abdb340c1abdd57"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a9cc28aa4fff6ba9a8abdb340c1abdd57">◆ </a></span>m_InputLayerNormWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputLayerNormWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00402">402</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a28ad98d17603fd8b12e046f8ece58970"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a28ad98d17603fd8b12e046f8ece58970">◆ </a></span>m_InputToCellWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputToCellWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00387">387</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a3ea82566d98c5a657c76c3d851c47848"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a3ea82566d98c5a657c76c3d851c47848">◆ </a></span>m_InputToForgetWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputToForgetWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00386">386</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a08a1932be591c315a512a877d38b22df"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a08a1932be591c315a512a877d38b22df">◆ </a></span>m_InputToInputWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputToInputWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00385">385</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a83dc9086b2e4a4e4cadb66bd874df798"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a83dc9086b2e4a4e4cadb66bd874df798">◆ </a></span>m_InputToOutputWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_InputToOutputWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00388">388</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a332551528a4b3534c2d6c89ce816fcd9"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a332551528a4b3534c2d6c89ce816fcd9">◆ </a></span>m_OutputGateBias</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_OutputGateBias</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00399">399</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="aa3f07e27230d6d99adc2c82ba681df2b"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aa3f07e27230d6d99adc2c82ba681df2b">◆ </a></span>m_OutputLayerNormWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_OutputLayerNormWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00405">405</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a2ba352eb1fdf6dc5ecf7f2e6b6b48f94"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a2ba352eb1fdf6dc5ecf7f2e6b6b48f94">◆ </a></span>m_ProjectionBias</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_ProjectionBias</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00401">401</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="af3c52626a6f05597d82ed095d0765962"></a>
<h2 class="memtitle"><span class="permalink"><a href="#af3c52626a6f05597d82ed095d0765962">◆ </a></span>m_ProjectionWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_ProjectionWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00400">400</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="aea142bd50ffb93631c2e08324ec92a1e"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aea142bd50ffb93631c2e08324ec92a1e">◆ </a></span>m_RecurrentToCellWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_RecurrentToCellWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00391">391</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a45d73e66cbb2b65049e4016c20657ccf"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a45d73e66cbb2b65049e4016c20657ccf">◆ </a></span>m_RecurrentToForgetWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_RecurrentToForgetWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00390">390</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="a98d377149071d8842d610cc0734d1cfe"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a98d377149071d8842d610cc0734d1cfe">◆ </a></span>m_RecurrentToInputWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_RecurrentToInputWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00389">389</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<a id="adebc1771e5a1f4b113a7aa594ea74d2c"></a>
<h2 class="memtitle"><span class="permalink"><a href="#adebc1771e5a1f4b113a7aa594ea74d2c">◆ </a></span>m_RecurrentToOutputWeights</h2>
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_RecurrentToOutputWeights</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00392">392</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00022">LstmLayer::CreateWorkload()</a>.</p>
</div>
</div>
<hr/>The documentation for this struct was generated from the following files:<ul>
<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a></li>
<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8cpp_source.xhtml">WorkloadData.cpp</a></li>
</ul>
</div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="structarmnn_1_1_lstm_queue_descriptor.xhtml">LstmQueueDescriptor</a></li>
<li class="footer">Generated on Fri Mar 13 2020 16:09:18 for ArmNN by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
</ul>
</div>
</body>
</html>
|
