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
|
<!-- 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 1.8.17"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>ArmNN: Class Members - Functions</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>
<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" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
<link href="stylesheet.css" rel="stylesheet" type="text/css"/>
</head>
<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">23.05</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.17 -->
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */
var searchBox = new SearchBox("searchBox", "search",false,'Search');
/* @license-end */
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */
$(function() {
initMenu('',true,false,'search.php','Search');
$(document).ready(function() { init_search(); });
});
/* @license-end */</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">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */
$(document).ready(function(){initNavTree('functions_func_e.xhtml',''); initResizable(); });
/* @license-end */
</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="contents">
 
<h3><a id="index_e"></a>- e -</h3><ul>
<li>ElementwiseBaseLayer()
: <a class="el" href="classarmnn_1_1_elementwise_base_layer.xhtml#a6aa67447c0f7d3aa62124c535e5b550b">ElementwiseBaseLayer</a>
</li>
<li>ElementwiseBinaryDescriptor()
: <a class="el" href="structarmnn_1_1_elementwise_binary_descriptor.xhtml#a8a8f2e6761bd818ffba130355d3b14bd">ElementwiseBinaryDescriptor</a>
</li>
<li>ElementwiseBinaryFunction()
: <a class="el" href="structarmnn_1_1_elementwise_binary_function.xhtml#a12cf00d4ad8e7a82d40b10878fd91507">ElementwiseBinaryFunction< Functor ></a>
</li>
<li>ElementwiseBinaryLayer()
: <a class="el" href="classarmnn_1_1_elementwise_binary_layer.xhtml#aa345377aa7ae6160626f84002cef78ff">ElementwiseBinaryLayer</a>
</li>
<li>ElementwiseUnaryDescriptor()
: <a class="el" href="structarmnn_1_1_elementwise_unary_descriptor.xhtml#a3f8539a92fa960a194527b03c2183172">ElementwiseUnaryDescriptor</a>
</li>
<li>ElementwiseUnaryFunction()
: <a class="el" href="structarmnn_1_1_elementwise_unary_function.xhtml#a6cada5f35c3f1c582a2c8587ddf2b6c6">ElementwiseUnaryFunction< Functor ></a>
</li>
<li>ElementwiseUnaryLayer()
: <a class="el" href="classarmnn_1_1_elementwise_unary_layer.xhtml#a86e2eb10cb45dbf64a1c962edd411c97">ElementwiseUnaryLayer</a>
</li>
<li>Enable()
: <a class="el" href="classarmnn_1_1_simple_logger.xhtml#a19c7e3a87f2ba3600d28bca9aaeac448">SimpleLogger< Level ></a>
</li>
<li>EnableDetailsOnly()
: <a class="el" href="structarmnn_1_1_json_child_object.xhtml#a40f1e32f39820f375a03b3aff5deede8">JsonChildObject</a>
</li>
<li>EnableNetworkDetailsToStdOut()
: <a class="el" href="classarmnn_1_1_i_profiler.xhtml#a2eb407e04f6462e4fd4ac0fd27dee141">IProfiler</a>
, <a class="el" href="classarmnn_1_1_profiler_impl.xhtml#a2eb407e04f6462e4fd4ac0fd27dee141">ProfilerImpl</a>
</li>
<li>EnableProfiling()
: <a class="el" href="classarmnn_1_1_i_profiler.xhtml#af556ae358458c476f8594b3bbb28d712">IProfiler</a>
, <a class="el" href="classarmnn_1_1_profiler_impl.xhtml#af556ae358458c476f8594b3bbb28d712">ProfilerImpl</a>
</li>
<li>Encoder()
: <a class="el" href="classarmnn_1_1_encoder.xhtml#a4fa6adc41ee005f5915cabd54e9dc0d9">Encoder< IType ></a>
</li>
<li>end()
: <a class="el" href="classarmnn_1_1_graph.xhtml#ab45dae688fc5d8983727abffa4389003">Graph</a>
, <a class="el" href="structarmnn_1_1_graph_1_1_input_layers_accessor.xhtml#a39ebf520b6f30ab8776bdcb99ee38b93">Graph::InputLayersAccessor</a>
, <a class="el" href="structarmnn_1_1_graph_1_1_output_layers_accessor.xhtml#ad2a661f37e89422e29dc70b3e4cc7185">Graph::OutputLayersAccessor</a>
, <a class="el" href="classarmnn_1_1_graph_observable.xhtml#ab45dae688fc5d8983727abffa4389003">GraphObservable< ObservedType ></a>
, <a class="el" href="classarmnn_1_1_permutation_vector.xhtml#a69b6e2a03c835ca5d658a1f16acbaa9c">PermutationVector</a>
</li>
<li>EndEvent()
: <a class="el" href="classarmnn_1_1_profiler_impl.xhtml#a8ed16398e69bb7b0625e3cf4a279b1f3">ProfilerImpl</a>
</li>
<li>endIConnectable()
: <a class="el" href="classarmnn_1_1_subgraph_view.xhtml#a0761bda72b62372d1495cbe9771a75a9">SubgraphView</a>
</li>
<li>EndInputSlots()
: <a class="el" href="classarmnn_1_1_layer.xhtml#a9752e12d6b79e18da1a25f76159d2a72">Layer</a>
</li>
<li>EndOutputSlots()
: <a class="el" href="classarmnn_1_1_layer.xhtml#a55f76d98fcd2f5cdac3e2b14536cb7ab">Layer</a>
</li>
<li>EnqueueWorkload()
: <a class="el" href="classarmnn_1_1_i_runtime.xhtml#aca51209383683ab8dbe801bbfddfe0c0">IRuntime</a>
, <a class="el" href="classarmnn_1_1_loaded_network.xhtml#a87880cba8611688cc57bec8f913958e8">LoadedNetwork</a>
, <a class="el" href="structarmnn_1_1_runtime_impl.xhtml#aca51209383683ab8dbe801bbfddfe0c0">RuntimeImpl</a>
</li>
<li>ErasedLayerNamesObservable()
: <a class="el" href="classarmnn_1_1_erased_layer_names_observable.xhtml#a06539bb23889d36cd821919f27d3d9c5">ErasedLayerNamesObservable</a>
</li>
<li>EraseLayer()
: <a class="el" href="classarmnn_1_1_graph.xhtml#a96d76fd10af39fbfabfd0caf0d1439fa">Graph</a>
</li>
<li>Event()
: <a class="el" href="classarmnn_1_1_event.xhtml#a62ff1ba347b8e391b8cc03e632703df5">Event</a>
</li>
<li>Exception()
: <a class="el" href="classarmnn_1_1_exception.xhtml#ad56b7b14f59554e891ad88b26cbf8ac3">Exception</a>
</li>
<li>Execute()
: <a class="el" href="classarmnn_1_1_cl_abs_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClAbsWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_activation_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClActivationWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_addition_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClAdditionWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_arg_min_max_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClArgMinMaxWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_batch_mat_mul_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClBatchMatMulWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_batch_normalization_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClBatchNormalizationFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_batch_to_space_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClBatchToSpaceNdWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_cast_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClCastWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_channel_shuffle_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClChannelShuffleWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_comparison_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClComparisonWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_concat_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConcatWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConstantWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConvertFp16ToFp32Workload</a>
, <a class="el" href="classarmnn_1_1_cl_convert_fp32_to_fp16_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConvertFp32ToFp16Workload</a>
, <a class="el" href="classarmnn_1_1_cl_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConvolution2dWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_convolution3d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClConvolution3dWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_depth_to_space_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClDepthToSpaceWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_depthwise_convolution_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClDepthwiseConvolutionWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_dequantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClDequantizeWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_division_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClDivisionWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_exp_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClExpWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_fill_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClFillWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_floor_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClFloorFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_fully_connected_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClFullyConnectedWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_gather_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClGatherNdWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_gather_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClGatherWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_instance_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClInstanceNormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_l2_normalization_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClL2NormalizationFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_logical_and_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClLogicalAndWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_logical_not_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClLogicalNotWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_logical_or_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClLogicalOrWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_log_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClLogSoftmaxWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_log_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClLogWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClLstmFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_maximum_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClMaximumWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_mean_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClMeanWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_minimum_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClMinimumWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_multiplication_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClMultiplicationWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_neg_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClNegWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_normalization_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClNormalizationFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_pad_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClPadWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_permute_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClPermuteWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_pooling2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClPooling2dWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_pooling3d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClPooling3dWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_prelu_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClPreluWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_q_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClQLstmWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_quantized_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClQuantizedLstmWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_quantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClQuantizeWorkload</a>
, <a class="el" href="structarmnn_1_1_cl_rank_workload.xhtml#a9b5a391ab2d035e1e4f59251cd8e2446">ClRankWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_reduce_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClReduceWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_reshape_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClReshapeWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_resize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClResizeWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_rsqrt_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClRsqrtWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_sin_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSinWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSliceWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSoftmaxWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_space_to_batch_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSpaceToBatchNdWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_space_to_depth_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSpaceToDepthWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_splitter_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSplitterWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_sqrt_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSqrtWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_stack_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClStackWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_strided_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClStridedSliceWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_subtraction_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClSubtractionWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_transpose_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClTransposeConvolution2dWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_transpose_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClTransposeWorkload</a>
, <a class="el" href="classarmnn_1_1_cl_unidirectional_sequence_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ClUnidirectionalSequenceLstmFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_copy_mem_generic_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">CopyMemGenericWorkload</a>
, <a class="el" href="classarmnn_1_1_import_mem_generic_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">ImportMemGenericWorkload</a>
, <a class="el" href="classarmnn_1_1_i_runtime.xhtml#a27f91ba619c3c6fd5e640df91b3fd080">IRuntime</a>
, <a class="el" href="classarmnn_1_1_i_workload.xhtml#a72ae00e6604850c8798c5e0d825ee7e4">IWorkload</a>
, <a class="el" href="classarmnn_1_1_loaded_network.xhtml#a95b1c23f6f296a0c39383bef20fdd46a">LoadedNetwork</a>
, <a class="el" href="classarmnn_1_1_map_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">MapWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_abs_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonAbsWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_activation_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonActivationWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_addition_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonAdditionWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_arg_min_max_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonArgMinMaxWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_batch_mat_mul_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonBatchMatMulWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_batch_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonBatchNormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_batch_to_space_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonBatchToSpaceNdWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_cast_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonCastWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_channel_shuffle_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonChannelShuffleWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_comparison_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonComparisonWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_concat_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConcatWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConstantWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp16ToFp32Workload</a>
, <a class="el" href="classarmnn_1_1_neon_convert_fp32_to_fp16_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvertFp32ToFp16Workload</a>
, <a class="el" href="classarmnn_1_1_neon_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvolution2dWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_convolution3d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonConvolution3dWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_depth_to_space_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonDepthToSpaceWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_depthwise_convolution_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonDepthwiseConvolutionWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_dequantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonDequantizeWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_detection_post_process_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonDetectionPostProcessWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_division_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonDivisionWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_exp_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonExpWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_fill_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonFillWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_floor_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonFloorFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_fully_connected_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonFullyConnectedWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_gather_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonGatherNdWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_gather_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonGatherWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_instance_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonInstanceNormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_l2_normalization_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonL2NormalizationFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_logical_and_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonLogicalAndWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_logical_not_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonLogicalNotWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_logical_or_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonLogicalOrWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_log_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonLogSoftmaxWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_log_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonLogWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonLstmFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_maximum_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonMaximumWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_mean_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonMeanWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_minimum_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonMinimumWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_multiplication_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonMultiplicationWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_neg_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonNegWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_normalization_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonNormalizationFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_pad_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonPadWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_permute_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonPermuteWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_pooling2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonPooling2dWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_pooling3d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonPooling3dWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_prelu_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonPreluWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_q_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonQLstmWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_quantized_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonQuantizedLstmWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_quantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonQuantizeWorkload</a>
, <a class="el" href="structarmnn_1_1_neon_rank_workload.xhtml#a9b5a391ab2d035e1e4f59251cd8e2446">NeonRankWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_reduce_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonReduceWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_reshape_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonReshapeWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_resize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonResizeWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_rsqrt_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonRsqrtWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_sin_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSinWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSliceWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSoftmaxWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_space_to_batch_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToBatchNdWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_space_to_depth_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSpaceToDepthWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_splitter_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSplitterWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_sqrt_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSqrtWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_stack_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonStackWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_strided_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonStridedSliceWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_subtraction_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonSubtractionWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_transpose_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonTransposeConvolution2dWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_transpose_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonTransposeWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_float_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonUnidirectionalSequenceLstmFloatWorkload</a>
, <a class="el" href="classarmnn_1_1_neon_unidirectional_sequence_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">NeonUnidirectionalSequenceLstmWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_activation_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefActivationWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_arg_min_max_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefArgMinMaxWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_batch_mat_mul_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefBatchMatMulWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_batch_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefBatchNormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_batch_to_space_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefBatchToSpaceNdWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_cast_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefCastWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_channel_shuffle_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefChannelShuffleWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_comparison_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefComparisonWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_concat_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConcatWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_constant_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConstantWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_convert_fp16_to_fp32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConvertFp16ToFp32Workload</a>
, <a class="el" href="classarmnn_1_1_ref_convert_fp32_to_fp16_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConvertFp32ToFp16Workload</a>
, <a class="el" href="classarmnn_1_1_ref_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConvolution2dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_convolution3d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefConvolution3dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_debug_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefDebugWorkload< DataType ></a>
, <a class="el" href="classarmnn_1_1_ref_depth_to_space_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefDepthToSpaceWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_depthwise_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefDepthwiseConvolution2dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_dequantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefDequantizeWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_detection_post_process_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefDetectionPostProcessWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefElementwiseBinaryWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_elementwise_unary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefElementwiseUnaryWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_elementwise_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefElementwiseWorkload< Functor, ParentDescriptor, DebugString ></a>
, <a class="el" href="classarmnn_1_1_ref_fake_quantization_float32_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefFakeQuantizationFloat32Workload</a>
, <a class="el" href="classarmnn_1_1_ref_fill_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefFillWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_floor_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefFloorWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_fully_connected_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefFullyConnectedWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_gather_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefGatherNdWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_gather_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefGatherWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_instance_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefInstanceNormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_l2_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefL2NormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_logical_binary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefLogicalBinaryWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_logical_unary_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefLogicalUnaryWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_log_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefLogSoftmaxWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefLstmWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_mean_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefMeanWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_normalization_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefNormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_pad_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefPadWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_permute_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefPermuteWorkload< DataType ></a>
, <a class="el" href="classarmnn_1_1_ref_pooling2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefPooling2dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_pooling3d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefPooling3dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_prelu_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefPreluWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_q_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefQLstmWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_quantize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefQuantizeWorkload</a>
, <a class="el" href="structarmnn_1_1_ref_rank_workload.xhtml#a9b5a391ab2d035e1e4f59251cd8e2446">RefRankWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_reduce_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefReduceWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_reshape_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefReshapeWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_resize_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefResizeWorkload</a>
, <a class="el" href="structarmnn_1_1_ref_shape_workload.xhtml#a9b5a391ab2d035e1e4f59251cd8e2446">RefShapeWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSliceWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_softmax_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSoftmaxWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_space_to_batch_nd_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSpaceToBatchNdWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_space_to_depth_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSpaceToDepthWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_splitter_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefSplitterWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_stack_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefStackWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_strided_slice_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefStridedSliceWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefTransposeConvolution2dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_transpose_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefTransposeWorkload< DataType ></a>
, <a class="el" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">RefUnidirectionalSequenceLstmWorkload</a>
, <a class="el" href="structarmnn_1_1_runtime_impl.xhtml#a5637cf5a5ddd5da1058606e26ca06737">RuntimeImpl</a>
, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">SyncMemGenericWorkload</a>
, <a class="el" href="classarmnn_1_1_tosa_ref_pre_compiled_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">TosaRefPreCompiledWorkload</a>
, <a class="el" href="classarmnn_1_1_unmap_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">UnmapWorkload</a>
</li>
<li>execute()
: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a67e5c38788f9b0152baee24e8f57bc2b">ArmnnPreparedModel</a>
</li>
<li>Execute()
: <a class="el" href="classsdb_1_1_sample_dynamic_addition_workload.xhtml#ae071e8822437c78baea75c3aef3a263a">SampleDynamicAdditionWorkload</a>
</li>
<li>ExecuteAsync()
: <a class="el" href="classarmnn_1_1_base_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">BaseWorkload< QueueDescriptor ></a>
, <a class="el" href="classarmnn_1_1_copy_mem_generic_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">CopyMemGenericWorkload</a>
, <a class="el" href="classarmnn_1_1_i_workload.xhtml#a9a6e9a0e7eaae5a30b0ea0c9ba7b468b">IWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_activation_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefActivationWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_arg_min_max_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefArgMinMaxWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_batch_mat_mul_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefBatchMatMulWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_batch_normalization_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefBatchNormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_batch_to_space_nd_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefBatchToSpaceNdWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_cast_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefCastWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_channel_shuffle_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefChannelShuffleWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_comparison_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefComparisonWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_concat_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefConcatWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_constant_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefConstantWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_convert_fp16_to_fp32_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefConvertFp16ToFp32Workload</a>
, <a class="el" href="classarmnn_1_1_ref_convert_fp32_to_fp16_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefConvertFp32ToFp16Workload</a>
, <a class="el" href="classarmnn_1_1_ref_convolution2d_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefConvolution2dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_convolution3d_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefConvolution3dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_debug_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefDebugWorkload< DataType ></a>
, <a class="el" href="classarmnn_1_1_ref_depth_to_space_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefDepthToSpaceWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_depthwise_convolution2d_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefDepthwiseConvolution2dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_dequantize_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefDequantizeWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_detection_post_process_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefDetectionPostProcessWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_elementwise_binary_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseBinaryWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_elementwise_unary_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseUnaryWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_elementwise_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefElementwiseWorkload< Functor, ParentDescriptor, DebugString ></a>
, <a class="el" href="classarmnn_1_1_ref_fake_quantization_float32_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefFakeQuantizationFloat32Workload</a>
, <a class="el" href="classarmnn_1_1_ref_fill_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefFillWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_floor_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefFloorWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_fully_connected_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefFullyConnectedWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_gather_nd_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefGatherNdWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_gather_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefGatherWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_instance_normalization_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefInstanceNormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_l2_normalization_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefL2NormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_logical_binary_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefLogicalBinaryWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_logical_unary_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefLogicalUnaryWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_log_softmax_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefLogSoftmaxWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_lstm_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefLstmWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_mean_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefMeanWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_normalization_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefNormalizationWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_pad_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefPadWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_permute_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefPermuteWorkload< DataType ></a>
, <a class="el" href="classarmnn_1_1_ref_pooling2d_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefPooling2dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_pooling3d_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefPooling3dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_prelu_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefPreluWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_q_lstm_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefQLstmWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_quantize_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefQuantizeWorkload</a>
, <a class="el" href="structarmnn_1_1_ref_rank_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefRankWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_reduce_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefReduceWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_reshape_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefReshapeWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_resize_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefResizeWorkload</a>
, <a class="el" href="structarmnn_1_1_ref_shape_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefShapeWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_slice_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefSliceWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_softmax_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefSoftmaxWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_space_to_batch_nd_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefSpaceToBatchNdWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_space_to_depth_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefSpaceToDepthWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_splitter_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefSplitterWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_stack_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefStackWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_strided_slice_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefStridedSliceWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_transpose_convolution2d_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefTransposeConvolution2dWorkload</a>
, <a class="el" href="classarmnn_1_1_ref_transpose_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefTransposeWorkload< DataType ></a>
, <a class="el" href="classarmnn_1_1_ref_unidirectional_sequence_lstm_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">RefUnidirectionalSequenceLstmWorkload</a>
, <a class="el" href="classarmnn_1_1_sync_mem_generic_workload.xhtml#ae1c43d025fc90382d7aff7a500937e2c">SyncMemGenericWorkload</a>
</li>
<li>executeFenced()
: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#a8d70cd869c7c1eda1c5891ba7e015661">ArmnnPreparedModel</a>
</li>
<li>ExecuteGraph()
: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#af62ba010a5b9f3187cfeb50db1dcad0a">ArmnnPreparedModel</a>
</li>
<li>ExecuteStrategy()
: <a class="el" href="classarmnn_1_1_abs_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">AbsLayer</a>
, <a class="el" href="classarmnn_1_1_activation_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ActivationLayer</a>
, <a class="el" href="classarmnn_1_1_addition_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">AdditionLayer</a>
, <a class="el" href="classarmnn_1_1_arg_min_max_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ArgMinMaxLayer</a>
, <a class="el" href="classarmnn_1_1_batch_normalization_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">BatchNormalizationLayer</a>
, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">BatchToSpaceNdLayer</a>
, <a class="el" href="classarmnn_1_1_bindable_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">BindableLayer</a>
, <a class="el" href="classarmnn_1_1_comparison_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ComparisonLayer</a>
, <a class="el" href="classarmnn_1_1_concat_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConcatLayer</a>
, <a class="el" href="classarmnn_1_1_constant_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConstantLayer</a>
, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConvertFp16ToFp32Layer</a>
, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ConvertFp32ToFp16Layer</a>
, <a class="el" href="classarmnn_1_1_convolution2d_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">Convolution2dLayer</a>
, <a class="el" href="classarmnn_1_1_convolution3d_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">Convolution3dLayer</a>
, <a class="el" href="classarmnn_1_1_debug_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">DebugLayer</a>
, <a class="el" href="classarmnn_1_1_depth_to_space_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">DepthToSpaceLayer</a>
, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">DepthwiseConvolution2dLayer</a>
, <a class="el" href="classarmnn_1_1_dequantize_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">DequantizeLayer</a>
, <a class="el" href="classarmnn_1_1_detection_post_process_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">DetectionPostProcessLayer</a>
, <a class="el" href="classarmnn_1_1_division_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">DivisionLayer</a>
, <a class="el" href="classarmnn_1_1_elementwise_base_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseBaseLayer</a>
, <a class="el" href="classarmnn_1_1_elementwise_binary_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseBinaryLayer</a>
, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ElementwiseUnaryLayer</a>
, <a class="el" href="classarmnn_1_1_fake_quantization_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">FakeQuantizationLayer</a>
, <a class="el" href="classarmnn_1_1_fill_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">FillLayer</a>
, <a class="el" href="classarmnn_1_1_floor_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">FloorLayer</a>
, <a class="el" href="classarmnn_1_1_fully_connected_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">FullyConnectedLayer</a>
, <a class="el" href="classarmnn_1_1_gather_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">GatherLayer</a>
, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a52799628c0df0037c4708de02bec7185">IConnectableLayer</a>
, <a class="el" href="classarmnn_1_1_i_network.xhtml#a72032c65bf8b8acf09b564b7d80078c5">INetwork</a>
, <a class="el" href="classarmnn_1_1_input_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">InputLayer</a>
, <a class="el" href="classarmnn_1_1_instance_normalization_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">InstanceNormalizationLayer</a>
, <a class="el" href="classarmnn_1_1_i_optimized_network.xhtml#a72032c65bf8b8acf09b564b7d80078c5">IOptimizedNetwork</a>
, <a class="el" href="classarmnn_1_1_i_strategy.xhtml#ad4f8c9ff973cf6a603d26b56c5b34967">IStrategy</a>
, <a class="el" href="classarmnn_1_1_l2_normalization_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">L2NormalizationLayer</a>
, <a class="el" href="classarmnn_1_1_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">Layer</a>
, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">LayerWithParameters< Parameters ></a>
, <a class="el" href="classarmnn_1_1_logical_binary_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">LogicalBinaryLayer</a>
, <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">LogSoftmaxLayer</a>
, <a class="el" href="classarmnn_1_1_lstm_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">LstmLayer</a>
, <a class="el" href="classarmnn_1_1_map_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">MapLayer</a>
, <a class="el" href="classarmnn_1_1_maximum_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">MaximumLayer</a>
, <a class="el" href="classarmnn_1_1_mean_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">MeanLayer</a>
, <a class="el" href="classarmnn_1_1_mem_copy_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">MemCopyLayer</a>
, <a class="el" href="classarmnn_1_1_mem_import_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">MemImportLayer</a>
, <a class="el" href="classarmnn_1_1_merge_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">MergeLayer</a>
, <a class="el" href="classarmnn_1_1_minimum_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">MinimumLayer</a>
, <a class="el" href="classarmnn_1_1_multiplication_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">MultiplicationLayer</a>
, <a class="el" href="classarmnn_1_1_network_impl.xhtml#a72032c65bf8b8acf09b564b7d80078c5">NetworkImpl</a>
, <a class="el" href="classarmnn_1_1_normalization_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">NormalizationLayer</a>
, <a class="el" href="classarmnn_1_1_optimized_network_impl.xhtml#a72032c65bf8b8acf09b564b7d80078c5">OptimizedNetworkImpl</a>
, <a class="el" href="classarmnn_1_1_output_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">OutputLayer</a>
, <a class="el" href="classarmnn_1_1_pad_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">PadLayer</a>
, <a class="el" href="classarmnn_1_1_permute_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">PermuteLayer</a>
, <a class="el" href="classarmnn_1_1_pooling2d_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">Pooling2dLayer</a>
, <a class="el" href="classarmnn_1_1_pooling3d_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">Pooling3dLayer</a>
, <a class="el" href="classarmnn_1_1_pre_compiled_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">PreCompiledLayer</a>
, <a class="el" href="classarmnn_1_1_prelu_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">PreluLayer</a>
, <a class="el" href="classarmnn_1_1_q_lstm_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">QLstmLayer</a>
, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">QuantizedLstmLayer</a>
, <a class="el" href="classarmnn_1_1_quantize_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">QuantizeLayer</a>
, <a class="el" href="classarmnn_1_1_rank_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">RankLayer</a>
, <a class="el" href="classarmnn_1_1_reduce_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReduceLayer</a>
, <a class="el" href="classarmnn_1_1_reshape_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ReshapeLayer</a>
, <a class="el" href="classarmnn_1_1_resize_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ResizeLayer</a>
, <a class="el" href="classarmnn_1_1_rsqrt_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">RsqrtLayer</a>
, <a class="el" href="classarmnn_1_1_shape_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">ShapeLayer</a>
, <a class="el" href="classarmnn_1_1_slice_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">SliceLayer</a>
, <a class="el" href="classarmnn_1_1_softmax_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">SoftmaxLayer</a>
, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">SpaceToBatchNdLayer</a>
, <a class="el" href="classarmnn_1_1_space_to_depth_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">SpaceToDepthLayer</a>
, <a class="el" href="classarmnn_1_1_splitter_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">SplitterLayer</a>
, <a class="el" href="classarmnn_1_1_stack_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">StackLayer</a>
, <a class="el" href="classarmnn_1_1_stand_in_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">StandInLayer</a>
, <a class="el" href="classarmnn_1_1_strategy_base.xhtml#a889a82ed924e0a300c4d98a0333b37ff">StrategyBase< DefaultStrategy ></a>
, <a class="el" href="classarmnn_1_1_strided_slice_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">StridedSliceLayer</a>
, <a class="el" href="classarmnn_1_1_subtraction_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">SubtractionLayer</a>
, <a class="el" href="classarmnn_1_1_switch_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">SwitchLayer</a>
, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">TransposeConvolution2dLayer</a>
, <a class="el" href="classarmnn_1_1_transpose_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">TransposeLayer</a>
, <a class="el" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">UnidirectionalSequenceLstmLayer</a>
, <a class="el" href="classarmnn_1_1_unmap_layer.xhtml#a46fc3fdd4b2a5dd6d184e57983cf20bc">UnmapLayer</a>
, <a class="el" href="classarmnn_serializer_1_1_serializer_strategy.xhtml#aa2061a0934479222cae45c8ee62284d9">SerializerStrategy</a>
</li>
<li>ExecuteWithDummyInputs()
: <a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml#ad84aace3d1df79ad6fa37dcd952c085f">ArmnnPreparedModel</a>
</li>
<li>ExecuteWorkloads()
: <a class="el" href="classarmnn_1_1_execution_frame.xhtml#a53bc9f544fe292cbbc2d258595bc3af7">ExecutionFrame</a>
, <a class="el" href="classarmnn_1_1_i_execution_frame.xhtml#a62a4e8e95f13a5b8fd62008423160362">IExecutionFrame</a>
</li>
<li>ExecutionFrame()
: <a class="el" href="classarmnn_1_1_execution_frame.xhtml#ad93148c735945f614be3a5e57c3c1dad">ExecutionFrame</a>
</li>
<li>ExternalProfilingOptions()
: <a class="el" href="structarmnn_1_1_i_runtime_1_1_creation_options_1_1_external_profiling_options.xhtml#ad290ff73f5e32ea7e4e549d743815ff8">IRuntime::CreationOptions::ExternalProfilingOptions</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="footer">Generated on Thu May 18 2023 10:35:52 for ArmNN by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li>
</ul>
</div>
</body>
</html>
|
