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review.mlplatform.org / ml / ComputeLibrary / refs/tags/v23.02 / . / docs / user_guide / operator_list.dox
blob: 8d34a763a5bea78d47386106f28da913e4e372b5 [file] [log] [blame]
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]1///
Adnan AlSinan171fc3d2022-03-15 18:46:42 +0000[diff] [blame]2/// Copyright (c) 2021-2022 Arm Limited.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]3///
4/// SPDX-License-Identifier: MIT
5///
6/// Permission is hereby granted, free of charge, to any person obtaining a copy
7/// of this software and associated documentation files (the "Software"), to
8/// deal in the Software without restriction, including without limitation the
9/// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10/// sell copies of the Software, and to permit persons to whom the Software is
11/// furnished to do so, subject to the following conditions:
12///
13/// The above copyright notice and this permission notice shall be included in all
14/// copies or substantial portions of the Software.
15///
16/// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17/// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18/// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19/// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20/// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21/// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22/// SOFTWARE.
23///
24namespace arm_compute
25{
26/**
27@page operators_list Supported Operators
28
29@tableofcontents
30
31@section S9_1_operators_list Supported Operators
32
33Compute Library supports operators that are listed in below table.
34
35Compute Library supports a wide list of data-types, information can been directly found in the documentation of each kernel/function.
36The main data-types that the Machine Learning functions support are the following:
37 <ul>
38 <li>BFLOAT16: 16-bit non-standard brain floating point
39 <li>QASYMM8: 8-bit unsigned asymmetric quantized
40 <li>QASYMM8_SIGNED: 8-bit signed asymmetric quantized
41 <li>QSYMM8_PER_CHANNEL: 8-bit signed symmetric quantized (Used for the weights)
42 <li>QSYMM8: 8-bit unsigned symmetric quantized
43 <li>QSYMM16: 16-bit unsigned symmetric quantized
44 <li>F32: 32-bit single precision floating point
45 <li>F16: 16-bit half precision floating point
46 <li>S32: 32-bit signed integer
47 <li>U8: 8-bit unsigned char
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]48 <li>All: Agnostic to any specific data type
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]49 </ul>
50
51Compute Library supports the following data layouts (fast changing dimension from right to left):
52 <ul>
53 <li>NHWC: The native layout of Compute Library that delivers the best performance where channels are in the fastest changing dimension
54 <li>NCHW: Legacy layout where width is in the fastest changing dimension
Sheri Zhang5dda2172021-10-15 19:54:17 +0100[diff] [blame]55 <li>NDHWC: New data layout for supporting 3D operators
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]56 <li>All: Agnostic to any specific data layout
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]57 </ul>
Sheri Zhang5dda2172021-10-15 19:54:17 +0100[diff] [blame]58where N = batches, C = channels, H = height, W = width, D = depth
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]59
60<table>
61<caption id="multi_row"></caption>
62<tr>
63 <th>Function
64 <th>Description
65 <th>Equivalent Android NNAPI Op
66 <th>Backends
67 <th>Data Layouts
68 <th>Data Types
69<tr>
70 <td rowspan="2">ActivationLayer
71 <td rowspan="2" style="width:200px;"> Function to simulate an activation layer with the specified activation function.
72 <td rowspan="2">
73 <ul>
74 <li>ANEURALNETWORKS_ELU
75 <li>ANEURALNETWORKS_HARD_SWISH
76 <li>ANEURALNETWORKS_LOGISTIC
77 <li>ANEURALNETWORKS_RELU
78 <li>ANEURALNETWORKS_RELU1
79 <li>ANEURALNETWORKS_RELU6
80 <li>ANEURALNETWORKS_TANH
81 </ul>
82 <td>NEActivationLayer
83 <td>
84 <ul>
85 <li>All
86 </ul>
87 <td>
88 <table>
89 <tr><th>src<th>dst
90 <tr><td>QASYMM8<td>QASYMM8
91 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
92 <tr><td>QSYMM16<td>QSYMM16
93 <tr><td>F16<td>F16
94 <tr><td>F32<td>F32
95 </table>
96<tr>
97 <td>CLActivationLayer
98 <td>
99 <ul>
100 <li>All
101 </ul>
102 <td>
103 <table>
104 <tr><th>src<th>dst
105 <tr><td>QASYMM8<td>QASYMM8
106 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
107 <tr><td>QSYMM16<td>QSYMM16
108 <tr><td>F16<td>F16
109 <tr><td>F32<td>F32
110 </table>
111<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]112 <td rowspan="2">ArgMinMaxLayer
113 <td rowspan="2" style="width:200px;"> Function to calculate the index of the minimum or maximum values in a tensor based on an axis.
114 <td rowspan="2">
115 <ul>
116 <li>ANEURALNETWORKS_ARGMAX
117 <li>ANEURALNETWORKS_ARGMIN
118 </ul>
119 <td>NEArgMinMaxLayer
120 <td>
121 <ul>
122 <li>All
123 </ul>
124 <td>
125 <table>
126 <tr><th>src<th>dst
127 <tr><td>QASYMM8<td>U32, S32
128 <tr><td>QASYMM8_SIGNED<td>U32, S32
129 <tr><td>S32<td>U32, S32
130 <tr><td>F16<td>U32, S32
131 <tr><td>F32<td>U32, S32
132 </table>
133<tr>
134 <td>CLArgMinMaxLayer
135 <td>
136 <ul>
137 <li>All
138 </ul>
139 <td>
140 <table>
141 <tr><th>src<th>dst
142 <tr><td>QASYMM8<td>U32, S32
143 <tr><td>QASYMM8_SIGNED<td>U32, S32
144 <tr><td>S32<td>U32, S32
145 <tr><td>F16<td>U32, S32
146 <tr><td>F32<td>U32, S32
147 </table>
148<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]149 <td rowspan="1">ArithmeticAddition
150 <td rowspan="1" style="width:200px;"> Function to add 2 tensors.
151 <td rowspan="1">
152 <ul>
153 <li>ANEURALNETWORKS_ADD
154 </ul>
155 <td>NEArithmeticAddition
156 <td>
157 <ul>
158 <li>All
159 </ul>
160 <td>
161 <table>
162 <tr><th>src0<th>src1<th>dst
163 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
164 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
165 <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
166 <tr><td>QSYMM16<td>QSYMM16<td>S32
167 <tr><td>U8<td>U8<td>U8
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]168 <tr><td>S16<td>S16<td>S16
169 <tr><td>S32<td>S32<td>S32
170 <tr><td>F16<td>F16<td>F16
171 <tr><td>F32<td>F32<td>F32
172 </table>
173<tr>
174 <td rowspan="1">ArithmeticSubtraction
175 <td rowspan="1" style="width:200px;"> Function to substract 2 tensors.
176 <td rowspan="1">
177 <ul>
178 <li>ANEURALNETWORKS_SUB
179 </ul>
180 <td>NEArithmeticSubtraction
181 <td>
182 <ul>
183 <li>All
184 </ul>
185 <td>
186 <table>
187 <tr><th>src0<th>src1<th>dst
188 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
189 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
190 <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
191 <tr><td>QSYMM16<td>QSYMM16<td>S32
192 <tr><td>U8<td>U8<td>U8
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]193 <tr><td>S16<td>S16<td>S16
194 <tr><td>S32<td>S32<td>S32
195 <tr><td>F16<td>F16<td>F16
196 <tr><td>F32<td>F32<td>F32
197 </table>
198<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]199 <td rowspan="2">BatchNormalizationLayer
200 <td rowspan="2" style="width:200px;"> Function to perform batch normalization.
201 <td rowspan="2">
202 <ul>
203 <li>n/a
204 </ul>
205 <td>NEBatchNormalizationLayer
206 <td>
207 <ul>
208 <li>NHWC
209 <li>NCHW
210 </ul>
211 <td>
212 <table>
213 <tr><th>src<th>dst
214 <tr><td>F32<td>F32
215 <tr><td>F16<td>F16
216 </table>
217<tr>
218 <td>CLBatchNormalizationLayer
219 <td>
220 <ul>
221 <li>NHWC
222 <li>NCHW
223 </ul>
224 <td>
225 <table>
226 <tr><th>src<th>dst
227 <tr><td>F32<td>F32
228 <tr><td>F16<td>F16
229 </table>
230<tr>
231 <td rowspan="2">BatchToSpaceLayer
232 <td rowspan="2" style="width:200px;"> Batch to space transformation.
233 <td rowspan="2">
234 <ul>
235 <li>ANEURALNETWORKS_BATCH_TO_SPACE_ND
236 </ul>
237 <td>NEBatchToSpaceLayer
238 <td>
239 <ul>
240 <li>NHWC
241 <li>NCHW
242 </ul>
243 <td>
244 <table>
245 <tr><th>src0<th>src1<th>dst
246 <tr><td>All<td>s32<td>All
247 </table>
248<tr>
249 <td>CLBatchToSpaceLayer
250 <td>
251 <ul>
252 <li>NHWC
253 <li>NCHW
254 </ul>
255 <td>
256 <table>
257 <tr><th>src0<th>src1<th>dst
258 <tr><td>All<td>s32<td>All
259 </table>
260<tr>
261 <td rowspan="2">BitwiseAnd
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]262 <td rowspan="2" style="width:200px;"> Function to perform bitwise AND between 2 tensors.
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]263 <td rowspan="2">
264 <ul>
265 <li>ANEURALNETWORKS_LOGICAL_AND
266 </ul>
267 <td>NEBitwiseAnd
268 <td>
269 <ul>
270 <li>All
271 </ul>
272 <td>
273 <table>
274 <tr><th>src<th>dst
275 <tr><td>U8<td>U8
276 </table>
277<tr>
278 <td>CLBitwiseAnd
279 <td>
280 <ul>
281 <li>All
282 </ul>
283 <td>
284 <table>
285 <tr><th>src<th>dst
286 <tr><td>U8<td>U8
287 </table>
288<tr>
289 <td rowspan="2">BitwiseNot
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]290 <td rowspan="2" style="width:200px;"> Function to perform bitwise NOT.
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]291 <td rowspan="2">
292 <ul>
293 <li>ANEURALNETWORKS_LOGICAL_NOT
294 </ul>
295 <td>NEBitwiseNot
296 <td>
297 <ul>
298 <li>All
299 </ul>
300 <td>
301 <table>
302 <tr><th>src<th>dst
303 <tr><td>U8<td>U8
304 </table>
305<tr>
306 <td>CLBitwiseNot
307 <td>
308 <ul>
309 <li>All
310 </ul>
311 <td>
312 <table>
313 <tr><th>src<th>dst
314 <tr><td>U8<td>U8
315 </table>
316<tr>
317 <td rowspan="2">BitwiseOr
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]318 <td rowspan="2" style="width:200px;"> Function to perform bitwise OR between 2 tensors.
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]319 <td rowspan="2">
320 <ul>
321 <li>ANEURALNETWORKS_LOGICAL_OR
322 </ul>
323 <td>NEBitwiseOr
324 <td>
325 <ul>
326 <li>All
327 </ul>
328 <td>
329 <table>
330 <tr><th>src<th>dst
331 <tr><td>U8<td>U8
332 </table>
333<tr>
334 <td>CLBitwiseOr
335 <td>
336 <ul>
337 <li>All
338 </ul>
339 <td>
340 <table>
341 <tr><th>src<th>dst
342 <tr><td>U8<td>U8
343 </table>
344<tr>
345 <td rowspan="2">BitwiseXor
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]346 <td rowspan="2" style="width:200px;"> Function to perform bitwise XOR between 2 tensors.
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]347 <td rowspan="2">
348 <ul>
349 <li>n/a
350 </ul>
351 <td>NEBitwiseXor
352 <td>
353 <ul>
354 <li>All
355 </ul>
356 <td>
357 <table>
358 <tr><th>src<th>dst
359 <tr><td>U8<td>U8
360 </table>
361<tr>
362 <td>CLBitwiseXor
363 <td>
364 <ul>
365 <li>All
366 </ul>
367 <td>
368 <table>
369 <tr><th>src<th>dst
370 <tr><td>U8<td>U8
371 </table>
372<tr>
373 <td rowspan="2">BoundingBoxTransform
374 <td rowspan="2" style="width:200px;"> Transform proposal bounding boxes to target bounding box using bounding box deltas.
375 <td rowspan="2">
376 <ul>
377 <li>n/a
378 </ul>
379 <td>NEBoundingBoxTransform
380 <td>
381 <ul>
382 <li>NHWC
383 <li>NCHW
384 </ul>
385 <td>
386 <table>
387 <tr><th>src0<th>src1<th>dst
388 <tr><td>QASYMM16<td>QASYMM8<td>QASYMM16
389 <tr><td>F16<td>F16<td>F16
390 <tr><td>F32<td>F32<td>F32
391 </table>
392<tr>
393 <td>CLBoundingBoxTransform
394 <td>
395 <ul>
396 <li>NHWC
397 <li>NCHW
398 </ul>
399 <td>
400 <table>
401 <tr><th>src0<th>src1<th>dst
402 <tr><td>QASYMM16<td>QASYMM8<td>QASYMM16
403 <tr><td>F16<td>F16<td>F16
404 <tr><td>F32<td>F32<td>F32
405 </table>
406<tr>
407 <td rowspan="2">Cast
408 <td rowspan="2" style="width:200px;"> Function to cast a tensor.
409 <td rowspan="2">
410 <ul>
411 <li>ANEURALNETWORKS_CAST
412 </ul>
413 <td>NECast
414 <td>
415 <ul>
416 <li>All
417 </ul>
418 <td>
419 <table>
420 <tr><th>src<th>dst
421 <tr><td>QASYMM8_SIGNED<td>S16, S32, F32, F16
422 <tr><td>QASYMM8<td>U16, S16, S32, F32, F16
423 <tr><td>U8<td>U16, S16, S32, F32, F16
424 <tr><td>U16<td>U8, U32
425 <tr><td>S16<td>QASYMM8_SIGNED, U8, S32
426 <tr><td>F16<td>QASYMM8_SIGNED, QASYMM8, F32, S32, U8
427 <tr><td>S32<td>QASYMM8_SIGNED, QASYMM8, F16, F32, U8
428 <tr><td>F32<td>QASYMM8_SIGNED, QASYMM8, BFLOAT16, F16, S32, U8
429 </table>
430<tr>
431 <td>CLCast
432 <td>
433 <ul>
434 <li>All
435 </ul>
436 <td>
437 <table>
438 <tr><th>src<th>dst
439 <tr><td>U8<td>S8, U16, S16, U32, S32, F16, F32
440 <tr><td>U16<td>U8, S8, S16, U32, S32, F16, F32
441 <tr><td>S16<td>U8, S8, U16, U32, S32, F16, F32
442 <tr><td>U32<td>U8, S8, U16, S16, S32, F16, F32
443 <tr><td>S32<td>U8, S8, U16, S16, U32, F16, F32
444 <tr><td>F16<td>U8, S8, U16, S16, U32, F32
445 <tr><td>F32<td>U8, S8, U16, S16, U32, F16
446 </table>
447<tr>
448 <td rowspan="2">ChannelShuffleLayer
449 <td rowspan="2" style="width:200px;"> Function to shuffle the channels of the input tensor.
450 <td rowspan="2">
451 <ul>
452 <li>ANEURALNETWORKS_CHANNEL_SHUFFLE
453 </ul>
454 <td>NEChannelShuffleLayer
455 <td>
456 <ul>
457 <li>NCHW
Michele Di Giorgiob8025b32021-09-03 10:29:49 +0100[diff] [blame]458 <li>NHWC
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]459 </ul>
460 <td>
461 <table>
462 <tr><th>src<th>dst
463 <tr><td>All<td>All
464 </table>
465<tr>
466 <td>CLChannelShuffleLayer
467 <td>
468 <ul>
469 <li>NCHW
Michele Di Giorgiob8025b32021-09-03 10:29:49 +0100[diff] [blame]470 <li>NHWC
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]471 </ul>
472 <td>
473 <table>
474 <tr><th>src<th>dst
475 <tr><td>All<td>All
476 </table>
477<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]478 <td rowspan="1">Comparison
479 <td rowspan="1" style="width:200px;"> Function to compare 2 tensors.
480 <td rowspan="1">
481 <ul>
482 <li>ANEURALNETWORKS_EQUAL
483 <li>ANEURALNETWORKS_GREATER
484 <li>ANEURALNETWORKS_GREATER_EQUAL
485 <li>ANEURALNETWORKS_LESS
486 <li>ANEURALNETWORKS_LESS_EQUAL
487 <li>ANEURALNETWORKS_NOT_EQUAL
488 </ul>
489 <td>CLComparison
490 <td>
491 <ul>
492 <li>All
493 </ul>
494 <td>
495 <table>
496 <tr><th>src0<th>src1<th>dst
497 <tr><td>All<td>All<td>U8
498 </table>
499<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]500 <td rowspan="2">ConcatenateLayer
501 <td rowspan="2" style="width:200px;"> Function to concatenate tensors along a given axis.
502 <td rowspan="2">
503 <ul>
504 <li>ANEURALNETWORKS_CONCATENATION
505 </ul>
506 <td>NEConcatenateLayer
507 <td>
508 <ul>
509 <li>All
510 </ul>
511 <td>
512 <table>
513 <tr><th>src<th>dst
514 <tr><td>QASYMM8<td>QASYMM8
515 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
516 <tr><td>F16<td>F16
517 <tr><td>F32<td>F32
518 </table>
519<tr>
520 <td>CLConcatenateLayer
521 <td>
522 <ul>
523 <li>All
524 </ul>
525 <td>
526 <table>
527 <tr><th>src<th>dst
528 <tr><td>QASYMM8<td>QASYMM8
529 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
530 <tr><td>F16<td>F16
531 <tr><td>F32<td>F32
532 </table>
533<tr>
534 <td rowspan="2">ConvertFullyConnectedWeights
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]535 <td rowspan="2" style="width:200px;"> Function to transpose the weights for the fully connected layer.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]536 <td rowspan="2">
537 <ul>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]538 <li>n/a
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]539 </ul>
540 <td>NEConvertFullyConnectedWeights
541 <td>
542 <ul>
543 <li>NHWC
544 <li>NCHW
545 </ul>
546 <td>
547 <table>
548 <tr><th>src<th>dst
549 <tr><td>All<td>All
550 </table>
551<tr>
552 <td>CLConvertFullyConnectedWeights
553 <td>
554 <ul>
555 <li>NHWC
556 <li>NCHW
557 </ul>
558 <td>
559 <table>
560 <tr><th>src<th>dst
561 <tr><td>All<td>All
562 </table>
563<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]564 <td rowspan="2">ConvolutionLayer
565 <td rowspan="2" style="width:200px;"> Function to compute a convolution layer.
566 <td rowspan="2">
567 <ul>
568 <li>ANEURALNETWORKS_CONV_2D
569 </ul>
570 <td>NEConvolutionLayer
571 <td>
572 <ul>
573 <li>NHWC
574 <li>NCHW
575 </ul>
576 <td>
577 <table>
578 <tr><th>src0<th>src1<th>src2<th>dst
579 <tr><td>F16<td>F16<td>F16<td>F16
580 <tr><td>F32<td>F32<td>F32<td>F32
581 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
582 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
583 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
584 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
585 </table>
586<tr>
587 <td>CLConvolutionLayer
588 <td>
589 <ul>
590 <li>NHWC
591 <li>NCHW
592 </ul>
593 <td>
594 <table>
595 <tr><th>src0<th>src1<th>src2<th>dst
596 <tr><td>F16<td>F16<td>F16<td>F16
597 <tr><td>F32<td>F32<td>F32<td>F32
598 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
599 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
600 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
601 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
602 </table>
603<tr>
Sheri Zhang6d9c9822021-09-24 16:02:57 +0100[diff] [blame]604 <td rowspan="2">Conv3D
605 <td rowspan="2" style="width:200px;"> Function to compute a 3d convolution layer.
606 <td rowspan="2">
607 <ul>
608 <li>ANEURALNETWORKS_CONV_3D
609 </ul>
610 <td>NEConv3D
611 <td>
612 <ul>
613 <li>NDHWC
614 </ul>
615 <td>
616 <table>
617 <tr><th>src0<th>src1<th>src2<th>dst
618 <tr><td>F16<td>F16<td>F16<td>F16
619 <tr><td>F32<td>F32<td>F32<td>F32
Freddie Liardetf727ef42021-10-18 13:28:57 +0100[diff] [blame]620 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
621 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
Sheri Zhang6d9c9822021-09-24 16:02:57 +0100[diff] [blame]622 </table>
623<tr>
624 <td>CLConv3D
625 <td>
626 <ul>
627 <li>NDHWC
628 </ul>
629 <td>
630 <table>
631 <tr><th>src0<th>src1<th>src2<th>dst
632 <tr><td>F16<td>F16<td>F16<td>F16
633 <tr><td>F32<td>F32<td>F32<td>F32
Giorgio Arena51847d52021-10-19 15:45:57 +0100[diff] [blame]634 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
635 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
Sheri Zhang6d9c9822021-09-24 16:02:57 +0100[diff] [blame]636 </table>
637<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]638 <td rowspan="2">Copy
639 <td rowspan="2" style="width:200px;"> Function to copy a tensor.
640 <td rowspan="2">
641 <ul>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]642 <li>n/a
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]643 </ul>
644 <td>NECopy
645 <td>
646 <ul>
647 <li>All
648 </ul>
649 <td>
650 <table>
651 <tr><th>src<th>dst
652 <tr><td>All<td>All
653 </table>
654<tr>
655 <td>CLCopy
656 <td>
657 <ul>
658 <li>All
659 </ul>
660 <td>
661 <table>
662 <tr><th>src<th>dst
663 <tr><td>All<td>All
664 </table>
665<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]666 <td rowspan="1">Crop
667 <td rowspan="1" style="width:200px;"> Performs a copy of input tensor to the output tensor.
668 <td rowspan="1">
669 <ul>
670 <li>n/a
671 </ul>
672 <td>CLCrop
673 <td>
674 <ul>
675 <li>NHWC
676 </ul>
677 <td>
678 <table>
679 <tr><th>src<th>dst
680 <tr><td>All<td>F32
681 </table>
682<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]683 <td rowspan="2">CropResize
684 <td rowspan="2" style="width:200px;"> Function to perform cropping and resizing.
685 <td rowspan="2">
686 <ul>
687 <li>n/a
688 </ul>
689 <td>NECropResize
690 <td>
691 <ul>
692 <li>NHWC
693 </ul>
694 <td>
695 <table>
696 <tr><th>src0<th>src1<th>src2<th>dst
697 <tr><td>All<td>F32<td>F32<td>F32
698 </table>
699<tr>
700 <td>CLCropResize
701 <td>
702 <ul>
703 <li>NHWC
704 </ul>
705 <td>
706 <table>
707 <tr><th>src0<th>src1<th>src2<th>dst
708 <tr><td>All<td>F32<td>F32<td>F32
709 </table>
710<tr>
711 <td rowspan="2">DeconvolutionLayer
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]712 <td rowspan="2" style="width:200px;"> Function to compute a deconvolution or transpose convolution.
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]713 <td rowspan="2">
714 <ul>
715 <li>ANEURALNETWORKS_TRANSPOSE_CONV_2D
716 </ul>
717 <td>NEDeconvolutionLayer
718 <td>
719 <ul>
720 <li>NHWC
721 <li>NCHW
722 </ul>
723 <td>
724 <table>
725 <tr><th>src0<th>src1<th>src2<th>dst
726 <tr><td>F16<td>F16<td>F16<td>F16
727 <tr><td>F32<td>F32<td>F32<td>F32
728 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
729 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
730 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
731 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
732 </table>
733<tr>
734 <td>CLDeconvolutionLayer
735 <td>
736 <ul>
737 <li>NHWC
738 <li>NCHW
739 </ul>
740 <td>
741 <table>
742 <tr><th>src0<th>src1<th>src2<th>dst
743 <tr><td>F16<td>F16<td>F16<td>F16
744 <tr><td>F32<td>F32<td>F32<td>F32
745 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
746 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
747 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
748 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
749 </table>
750<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]751 <td rowspan="1">DeconvolutionLayerUpsample
752 <td rowspan="1" style="width:200px;"> Function to execute deconvolution upsample on OpenCL.
753 <td rowspan="1">
754 <ul>
755 <li>ANEURALNETWORKS_TRANSPOSE_CONV_2D
756 </ul>
757 <td>CLDeconvolutionLayerUpsample
758 <td>
759 <ul>
760 <li>NHWC
761 <li>NCHW
762 </ul>
763 <td>
764 <table>
765 <tr><th>src<th>dst
766 <tr><td>All<td>All
767 </table>
768<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]769 <td rowspan="2">DepthConvertLayer
770 <td rowspan="2" style="width:200px;"> Performs a down-scaling depth conversion.
771 <td rowspan="2">
772 <ul>
773 <li>n/a
774 </ul>
775 <td>NEDepthConvertLayer
776 <td>
777 <ul>
778 <li>All
779 </ul>
780 <td>
781 <table>
782 <tr><th>src<th>dst
783 <tr><td>QASYMM8<td>F16, F32
784 <tr><td>U8<td>U16, S16, S32
785 <tr><td>U16<td>U8, U32
786 <tr><td>S16<td>U8, S32
787 <tr><td>BFLOAT16<td>F32
788 <tr><td>F16<td>QASYMM8, F32
789 <tr><td>F32<td>QASYMM8, F16, BFLOAT16
790 </table>
791<tr>
792 <td>CLDepthConvertLayer
793 <td>
794 <ul>
795 <li>All
796 </ul>
797 <td>
798 <table>
799 <tr><th>src<th>dst
800 <tr><td>U8<td>S8, U16, S16, U32, S32, F16, F32
801 <tr><td>U16<td>U8, S8, S16, U32, S32, F16, F32
802 <tr><td>S16<td>U8, S8, U16, U32, S32, F16, F32
803 <tr><td>U32<td>U8, S8, U16, S16, S32, F16, F32
804 <tr><td>S32<td>U8, S8, U16, S16, U32, F16, F32
805 <tr><td>F16<td>U8, S8, U16, S16, U32, F32
806 <tr><td>F32<td>U8, S8, U16, S16, U32, F16
807 </table>
808<tr>
809 <td rowspan="2">DepthToSpaceLayer
810 <td rowspan="2" style="width:200px;"> Depth to Space transformation.
811 <td rowspan="2">
812 <ul>
813 <li>ANEURALNETWORKS_DEPTH_TO_SPACE
814 </ul>
815 <td>NEDepthToSpaceLayer
816 <td>
817 <ul>
818 <li>NHWC
819 <li>NCHW
820 </ul>
821 <td>
822 <table>
823 <tr><th>src<th>dst
824 <tr><td>All<td>All
825 </table>
826<tr>
827 <td>CLDepthToSpaceLayer
828 <td>
829 <ul>
830 <li>NHWC
831 <li>NCHW
832 </ul>
833 <td>
834 <table>
835 <tr><th>src<th>dst
836 <tr><td>All<td>All
837 </table>
838<tr>
839 <td rowspan="2">DepthwiseConvolutionLayer
840 <td rowspan="2" style="width:200px;"> Function to perform depthwise separable convolution.
841 <td rowspan="2">
842 <ul>
843 <li>ANEURALNETWORKS_DEPTHWISE_CONV_2D
844 </ul>
845 <td>NEDepthwiseConvolutionLayer
846 <td>
847 <ul>
848 <li>NHWC
849 <li>NCHW
850 </ul>
851 <td>
852 <table>
853 <tr><th>src0<th>src1<th>src2<th>dst
854 <tr><td>F16<td>F16<td>F16<td>F16
855 <tr><td>F32<td>F32<td>F32<td>F32
856 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
857 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
858 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
859 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
860 </table>
861<tr>
862 <td>CLDepthwiseConvolutionLayer
863 <td>
864 <ul>
865 <li>NHWC
866 <li>NCHW
867 </ul>
868 <td>
869 <table>
870 <tr><th>src0<th>src1<th>src2<th>dst
871 <tr><td>F16<td>F16<td>F16<td>F16
872 <tr><td>F32<td>F32<td>F32<td>F32
873 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
874 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
875 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
876 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
877 </table>
878<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]879 <td rowspan="2">DequantizationLayer
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]880 <td rowspan="2" style="width:200px;"> Function to dequantize the values in a tensor.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]881 <td rowspan="2">
882 <ul>
883 <li>ANEURALNETWORKS_DEQUANTIZE
884 </ul>
885 <td>NEDequantizationLayer
886 <td>
887 <ul>
888 <li>All
889 </ul>
890 <td>
891 <table>
892 <tr><th>src<th>dst
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]893 <tr><td>QASYMM8<td>F16, F32
894 <tr><td>QASYMM8_SIGNED<td>F16, F32
895 <tr><td>QSYMM8_PER_CHANNEL<td>F16, F32
896 <tr><td>QSYMM8<td>F16, F32
897 <tr><td>QSYMM16<td>F16, F32
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]898 </table>
899<tr>
900 <td>CLDequantizationLayer
901 <td>
902 <ul>
903 <li>All
904 </ul>
905 <td>
906 <table>
907 <tr><th>src<th>dst
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]908 <tr><td>QASYMM8<td>F16, F32
909 <tr><td>QASYMM8_SIGNED<td>F16, F32
910 <tr><td>QSYMM8_PER_CHANNEL<td>F16, F32
911 <tr><td>QSYMM8<td>F16, F32
912 <tr><td>QSYMM16<td>F16, F32
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]913 </table>
914<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]915 <td rowspan="1">DetectionPostProcessLayer
916 <td rowspan="1" style="width:200px;"> Function to generate the detection output based on center size encoded boxes, class prediction and anchors by doing non maximum suppression (NMS).
917 <td rowspan="1">
918 <ul>
919 <li>ANEURALNETWORKS_DETECTION_POSTPROCESSING
920 </ul>
921 <td>NEDetectionPostProcessLayer
922 <td>
923 <ul>
924 <li>All
925 </ul>
926 <td>
927 <table>
928 <tr><th>src0 - src2<th>dst0 - dst3
929 <tr><td>QASYMM8<td>F32
930 <tr><td>QASYMM8_SIGNED<td>F32
931 <tr><td>F32<td>F32
932 </table>
933<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]934 <td rowspan="2">DirectConvolutionLayer
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]935 <td rowspan="2" style="width:200px;"> Function to compute direct convolution.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]936 <td rowspan="2">
937 <ul>
938 <li>ANEURALNETWORKS_CONV_2D
939 </ul>
940 <td>NEDirectConvolutionLayer
941 <td>
942 <ul>
943 <li>NHWC
944 <li>NCHW
945 </ul>
946 <td>
947 <table>
948 <tr><th>src0<th>src1<th>src2<th>dst
949 <tr><td>F16<td>F16<td>F16<td>F16
950 <tr><td>F32<td>F32<td>F32<td>F32
951 </table>
952<tr>
953 <td>CLDirectConvolutionLayer
954 <td>
955 <ul>
956 <li>NHWC
957 <li>NCHW
958 </ul>
959 <td>
960 <table>
961 <tr><th>src0<th>src1<th>src2<th>dst
962 <tr><td>F16<td>F16<td>F16<td>F16
963 <tr><td>F32<td>F32<td>F32<td>F32
964 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
965 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
966 </table>
967<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]968 <td rowspan="1">DirectDeconvolutionLayer
969 <td rowspan="1" style="width:200px;"> Function to run the deconvolution layer.
970 <td rowspan="1">
971 <ul>
972 <li>ANEURALNETWORKS_TRANSPOSE_CONV_2D
973 </ul>
974 <td>CLDirectDeconvolutionLayer
975 <td>
976 <ul>
977 <li>NHWC
978 <li>NCHW
979 </ul>
980 <td>
981 <table>
982 <tr><th>src0<th>src1<th>src2<th>dst
983 <tr><td>F16<td>F16<td>F16<td>F16
984 <tr><td>F32<td>F32<td>F32<td>F32
985 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
986 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
987 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
988 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
989 </table>
990<tr>
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]991 <td rowspan="13">ElementwiseOperations
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]992 <td rowspan="13" style="width:200px;"> Function to perform in Cpu: - Div - Max - Min - Pow - SquaredDiff - Comparisons (Equal, greater, greater_equal, less, less_equal, not_equal) Function to perform in CL: - Add - Sub - Div - Max - Min - Pow - SquaredDiff
993 <td rowspan="13">
994 <ul>
995 <li>ANEURALNETWORKS_MAXIMUM
996 <li>ANEURALNETWORKS_MINIMUM
997 <li>ANEURALNETWORKS_POW
998 <li>ANEURALNETWORKS_DIV
999 <li>ANEURALNETWORKS_ADD
1000 <li>ANEURALNETWORKS_SUB
1001 <li>ANEURALNETWORKS_EQUAL
1002 <li>ANEURALNETWORKS_GREATER
1003 <li>ANEURALNETWORKS_GREATER_EQUAL
1004 <li>ANEURALNETWORKS_LESS
1005 <li>ANEURALNETWORKS_LESS_EQUAL
1006 <li>ANEURALNETWORKS_NOT_EQUAL
1007 </ul>
1008 <td>NEElementwiseMax
1009 <td>
1010 <ul>
1011 <li>All
1012 </ul>
1013 <td>
1014 <table>
1015 <tr><th>src0<th>src1<th>dst
1016 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
1017 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
1018 <tr><td>S32<td>S32<td>S32
1019 <tr><td>S16<td>S16<td>S16
1020 <tr><td>F16<td>F16<td>F16
1021 <tr><td>F32<td>F32<td>F32
1022 </table>
1023<tr>
1024 <td>NEElementwiseMin
1025 <td>
1026 <ul>
1027 <li>All
1028 </ul>
1029 <td>
1030 <table>
1031 <tr><th>src0<th>src1<th>dst
1032 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
1033 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
1034 <tr><td>S32<td>S32<td>S32
1035 <tr><td>S16<td>S16<td>S16
1036 <tr><td>F16<td>F16<td>F16
1037 <tr><td>F32<td>F32<td>F32
1038 </table>
1039<tr>
1040 <td>NEElementwiseSquaredDiff
1041 <td>
1042 <ul>
1043 <li>All
1044 </ul>
1045 <td>
1046 <table>
1047 <tr><th>src0<th>src1<th>dst
1048 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
1049 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
1050 <tr><td>S32<td>S32<td>S32
1051 <tr><td>S16<td>S16<td>S16
1052 <tr><td>F16<td>F16<td>F16
1053 <tr><td>F32<td>F32<td>F32
1054 </table>
1055<tr>
1056 <td>NEElementwiseDivision
1057 <td>
1058 <ul>
1059 <li>All
1060 </ul>
1061 <td>
1062 <table>
1063 <tr><th>src0<th>src1<th>dst
1064 <tr><td>F16<td>F16<td>F16
1065 <tr><td>F32<td>F32<td>F32
1066 </table>
1067<tr>
1068 <td>NEElementwisePower
1069 <td>
1070 <ul>
1071 <li>All
1072 </ul>
1073 <td>
1074 <table>
1075 <tr><th>src0<th>src1<th>dst
1076 <tr><td>F16<td>F16<td>F16
1077 <tr><td>F32<td>F32<td>F32
1078 </table>
1079<tr>
1080 <td>NEElementwiseComparison
1081 <td>
1082 <ul>
1083 <li>All
1084 </ul>
1085 <td>
1086 <table>
1087 <tr><th>src0<th>src1<th>dst
1088 <tr><td>QASYMM8<td>QASYMM8<td>U8
1089 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>U8
1090 <tr><td>S32<td>S32<td>U8
1091 <tr><td>U8<td>U8<td>U8
1092 <tr><td>S16<td>S16<td>U8
1093 <tr><td>F16<td>F16<td>U8
1094 <tr><td>F32<td>F32<td>U8
1095 </table>
1096<tr>
1097 <td>CLArithmeticAddition
1098 <td>
1099 <ul>
1100 <li>All
1101 </ul>
1102 <td>
1103 <table>
1104 <tr><th>src0<th>src1<th>dst
1105 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
1106 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
1107 <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
1108 <tr><td>U8<td>U8<td>U8
1109 <tr><td>U8<td>U8<td>S16
1110 <tr><td>U8<td>S16<td>S16
1111 <tr><td>S16<td>U8<td>S16
1112 <tr><td>S16<td>S16<td>S16
1113 <tr><td>S32<td>S32<td>S32
1114 <tr><td>F16<td>F16<td>F16
1115 <tr><td>F32<td>F32<td>F32
1116 </table>
1117<tr>
1118 <td>CLArithmeticSubtraction
1119 <td>
1120 <ul>
1121 <li>All
1122 </ul>
1123 <td>
1124 <table>
1125 <tr><th>src0<th>src1<th>dst
1126 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
1127 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
1128 <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
1129 <tr><td>U8<td>U8<td>U8
1130 <tr><td>U8<td>U8<td>S16
1131 <tr><td>U8<td>S16<td>S16
1132 <tr><td>S16<td>U8<td>S16
1133 <tr><td>S16<td>S16<td>S16
1134 <tr><td>S32<td>S32<td>S32
1135 <tr><td>F16<td>F16<td>F16
1136 <tr><td>F32<td>F32<td>F32
1137 </table>
1138<tr>
1139 <td>CLArithmeticDivision
1140 <td>
1141 <ul>
1142 <li>All
1143 </ul>
1144 <td>
1145 <table>
1146 <tr><th>src0<th>src1<th>dst
1147 <tr><td>F16<td>F16<td>F16
1148 <tr><td>F32<td>F32<td>F32
1149 </table>
1150<tr>
1151 <td>CLElementwiseMax
1152 <td>
1153 <ul>
1154 <li>All
1155 </ul>
1156 <td>
1157 <table>
1158 <tr><th>src0<th>src1<th>dst
1159 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
1160 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
1161 <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
1162 <tr><td>U8<td>U8<td>U8
1163 <tr><td>S16<td>S16<td>S16
1164 <tr><td>S32<td>S32<td>S32
1165 <tr><td>U32<td>U32<td>U32
1166 <tr><td>F16<td>F16<td>F16
1167 <tr><td>F32<td>F32<td>F32
1168 </table>
1169<tr>
1170 <td>CLElementwiseMin
1171 <td>
1172 <ul>
1173 <li>All
1174 </ul>
1175 <td>
1176 <table>
1177 <tr><th>src0<th>src1<th>dst
1178 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
1179 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
1180 <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
1181 <tr><td>U8<td>U8<td>U8
1182 <tr><td>S16<td>S16<td>S16
1183 <tr><td>S32<td>S32<td>S32
1184 <tr><td>U32<td>U32<td>U32
1185 <tr><td>F16<td>F16<td>F16
1186 <tr><td>F32<td>F32<td>F32
1187 </table>
1188<tr>
1189 <td>CLElementwiseSquaredDiff
1190 <td>
1191 <ul>
1192 <li>All
1193 </ul>
1194 <td>
1195 <table>
1196 <tr><th>src0<th>src1<th>dst
1197 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
1198 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
1199 <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
1200 <tr><td>U8<td>U8<td>U8
1201 <tr><td>S16<td>S16<td>S16
1202 <tr><td>F16<td>F16<td>F16
1203 <tr><td>F32<td>F32<td>F32
1204 </table>
1205<tr>
1206 <td>CLElementwisePower
1207 <td>
1208 <ul>
1209 <li>All
1210 </ul>
1211 <td>
1212 <table>
1213 <tr><th>src0<th>src1<th>dst
1214 <tr><td>F16<td>F16<td>F16
1215 <tr><td>F32<td>F32<td>F32
1216 </table>
1217<tr>
1218 <td rowspan="8">ElementwiseUnaryLayer
1219 <td rowspan="8" style="width:200px;"> Function to perform: - Rsqrt - Exp - Neg - Log - Abs - Round - Sin
1220 <td rowspan="8">
1221 <ul>
1222 <li>ANEURALNETWORKS_ABS
1223 <li>ANEURALNETWORKS_EXP
1224 <li>ANEURALNETWORKS_LOG
1225 <li>ANEURALNETWORKS_NEG
1226 <li>ANEURALNETWORKS_RSQRT
1227 <li>ANEURALNETWORKS_SIN
1228 </ul>
1229 <td>NEElementwiseUnaryLayer
1230 <td>
1231 <ul>
1232 <li>All
1233 </ul>
1234 <td>
1235 <table>
1236 <tr><th>src<th>dst
1237 <tr><td>F16<td>F16
1238 <tr><td>F32<td>F32
1239 <tr><td>S32<td>S32
1240 </table>
1241<tr>
1242 <td>CLRsqrtLayer
1243 <td>
1244 <ul>
1245 <li>All
1246 </ul>
1247 <td>
1248 <table>
1249 <tr><th>src<th>dst
1250 <tr><td>F16<td>F16
1251 <tr><td>F32<td>F32
1252 </table>
1253<tr>
1254 <td>CLExpLayer
1255 <td>
1256 <ul>
1257 <li>All
1258 </ul>
1259 <td>
1260 <table>
1261 <tr><th>src<th>dst
1262 <tr><td>F16<td>F16
1263 <tr><td>F32<td>F32
1264 </table>
1265<tr>
1266 <td>CLNegLayer
1267 <td>
1268 <ul>
1269 <li>All
1270 </ul>
1271 <td>
1272 <table>
1273 <tr><th>src<th>dst
1274 <tr><td>F16<td>F16
1275 <tr><td>F32<td>F32
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]1276 <tr><td>S32<td>S32
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]1277 </table>
1278<tr>
1279 <td>CLSinLayer
1280 <td>
1281 <ul>
1282 <li>All
1283 </ul>
1284 <td>
1285 <table>
1286 <tr><th>src<th>dst
1287 <tr><td>F16<td>F16
1288 <tr><td>F32<td>F32
1289 </table>
1290<tr>
1291 <td>CLLogLayer
1292 <td>
1293 <ul>
1294 <li>All
1295 </ul>
1296 <td>
1297 <table>
1298 <tr><th>src<th>dst
1299 <tr><td>F16<td>F16
1300 <tr><td>F32<td>F32
1301 </table>
1302<tr>
1303 <td>CLAbsLayer
1304 <td>
1305 <ul>
1306 <li>All
1307 </ul>
1308 <td>
1309 <table>
1310 <tr><th>src<th>dst
1311 <tr><td>F16<td>F16
1312 <tr><td>F32<td>F32
1313 </table>
1314<tr>
1315 <td>CLRoundLayer
1316 <td>
1317 <ul>
1318 <li>All
1319 </ul>
1320 <td>
1321 <table>
1322 <tr><th>src<th>dst
1323 <tr><td>F16<td>F16
1324 <tr><td>F32<td>F32
1325 </table>
1326<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]1327 <td rowspan="2">FFT1D
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1328 <td rowspan="2" style="width:200px;"> Fast Fourier Transform 1D.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]1329 <td rowspan="2">
1330 <ul>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1331 <li>n/a
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]1332 </ul>
1333 <td>NEFFT1D
1334 <td>
1335 <ul>
1336 <li>All
1337 </ul>
1338 <td>
1339 <table>
1340 <tr><th>src<th>dst
1341 <tr><td>F32<td>F32
1342 </table>
1343<tr>
1344 <td>CLFFT1D
1345 <td>
1346 <ul>
1347 <li>All
1348 </ul>
1349 <td>
1350 <table>
1351 <tr><th>src<th>dst
1352 <tr><td>F32<td>F32
1353 <tr><td>F16<td>F16
1354 </table>
1355<tr>
1356 <td rowspan="2">FFT2D
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1357 <td rowspan="2" style="width:200px;"> Fast Fourier Transform 2D.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]1358 <td rowspan="2">
1359 <ul>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1360 <li>n/a
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]1361 </ul>
1362 <td>NEFFT2D
1363 <td>
1364 <ul>
1365 <li>All
1366 </ul>
1367 <td>
1368 <table>
1369 <tr><th>src<th>dst
1370 <tr><td>F32<td>F32
1371 </table>
1372<tr>
1373 <td>CLFFT2D
1374 <td>
1375 <ul>
1376 <li>All
1377 </ul>
1378 <td>
1379 <table>
1380 <tr><th>src<th>dst
1381 <tr><td>F32<td>F32
1382 <tr><td>F16<td>F16
1383 </table>
1384<tr>
1385 <td rowspan="2">FFTConvolutionLayer
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1386 <td rowspan="2" style="width:200px;"> Fast Fourier Transform Convolution.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]1387 <td rowspan="2">
1388 <ul>
1389 <li>ANEURALNETWORKS_CONV_2D
1390 </ul>
1391 <td>NEFFTConvolutionLayer
1392 <td>
1393 <ul>
1394 <li>All
1395 </ul>
1396 <td>
1397 <table>
1398 <tr><th>src<th>dst
1399 <tr><td>F32<td>F32
1400 </table>
1401<tr>
1402 <td>CLFFTConvolutionLayer
1403 <td>
1404 <ul>
1405 <li>All
1406 </ul>
1407 <td>
1408 <table>
1409 <tr><th>src<th>dst
1410 <tr><td>F32<td>F32
1411 <tr><td>F16<td>F16
1412 </table>
1413<tr>
1414 <td rowspan="2">Fill
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1415 <td rowspan="2" style="width:200px;"> Set the values of a tensor with a given value.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]1416 <td rowspan="2">
1417 <ul>
1418 <li>ANEURALNETWORKS_FILL
1419 </ul>
1420 <td>NEFill
1421 <td>
1422 <ul>
1423 <li>All
1424 </ul>
1425 <td>
1426 <table>
1427 <tr><th>src<th>dst
1428 <tr><td>All<td>All
1429 </table>
1430<tr>
1431 <td>CLFill
1432 <td>
1433 <ul>
1434 <li>All
1435 </ul>
1436 <td>
1437 <table>
1438 <tr><th>src<th>dst
1439 <tr><td>All<td>All
1440 </table>
1441<tr>
Georgios Pinitasb6af4822021-09-14 12:33:34 +0100[diff] [blame]1442 <td rowspan="1">FillBorder
1443 <td rowspan="1" style="width:200px;"> Function to fill the borders within the XY-planes.
1444 <td rowspan="1">
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1445 <ul>
1446 <li>n/a
1447 </ul>
1448 <td>NEFillBorder
1449 <td>
1450 <ul>
1451 <li>All
1452 </ul>
1453 <td>
1454 <table>
1455 <tr><th>src<th>dst
1456 <tr><td>All<td>All
1457 </table>
1458<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1459 <td rowspan="2">FlattenLayer
1460 <td rowspan="2" style="width:200px;"> Reshape a tensor to be 1D
1461 <td rowspan="2">
1462 <ul>
1463 <li>ANEURALNETWORKS_RESHAPE
1464 </ul>
1465 <td>NEFlattenLayer
1466 <td>
1467 <ul>
1468 <li>All
1469 </ul>
1470 <td>
1471 <table>
1472 <tr><th>src<th>dst
1473 <tr><td>All<td>All
1474 </table>
1475<tr>
1476 <td>CLFlattenLayer
1477 <td>
1478 <ul>
1479 <li>All
1480 </ul>
1481 <td>
1482 <table>
1483 <tr><th>src<th>dst
1484 <tr><td>All<td>All
1485 </table>
1486<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]1487 <td rowspan="2">Floor
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1488 <td rowspan="2" style="width:200px;"> Round the value to the lowest number.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]1489 <td rowspan="2">
1490 <ul>
1491 <li>ANEURALNETWORKS_FLOOR
1492 </ul>
1493 <td>NEFloor
1494 <td>
1495 <ul>
1496 <li>All
1497 </ul>
1498 <td>
1499 <table>
1500 <tr><th>src<th>dst
1501 <tr><td>F32<td>F32
1502 <tr><td>F16<td>F16
1503 </table>
1504<tr>
1505 <td>CLFloor
1506 <td>
1507 <ul>
1508 <li>All
1509 </ul>
1510 <td>
1511 <table>
1512 <tr><th>src<th>dst
1513 <tr><td>F32<td>F32
1514 <tr><td>F16<td>F16
1515 </table>
1516<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1517 <td rowspan="2">FullyConnectedLayer
1518 <td rowspan="2" style="width:200px;"> Function to perform a fully connected / dense layer.
1519 <td rowspan="2">
1520 <ul>
1521 <li>ANEURALNETWORKS_FULLY_CONNECTED
1522 </ul>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]1523 <td>NEFullyConnectedLayer
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1524 <td>
1525 <ul>
1526 <li>NHWC
1527 <li>NCHW
1528 </ul>
1529 <td>
1530 <table>
1531 <tr><th>src0<th>src1<th>src2<th>dst
1532 <tr><td>F16<td>F16<td>F16<td>F16
1533 <tr><td>F32<td>F32<td>F32<td>F32
1534 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
1535 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
1536 </table>
1537<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]1538 <td>CLFullyConnectedLayer
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1539 <td>
1540 <ul>
1541 <li>NHWC
1542 <li>NCHW
1543 </ul>
1544 <td>
1545 <table>
1546 <tr><th>src0<th>src1<th>src2<th>dst
1547 <tr><td>F16<td>F16<td>F16<td>F16
1548 <tr><td>F32<td>F32<td>F32<td>F32
1549 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
1550 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
1551 </table>
1552<tr>
1553 <td rowspan="2">FuseBatchNormalization
1554 <td rowspan="2" style="width:200px;"> Function to fuse the batch normalization node to a preceding convolution node.
1555 <td rowspan="2">
1556 <ul>
1557 <li>n/a
1558 </ul>
1559 <td>NEFuseBatchNormalization
1560 <td>
1561 <ul>
1562 <li>NHWC
1563 <li>NCHW
1564 </ul>
1565 <td>
1566 <table>
1567 <tr><th>src<th>dst
1568 <tr><td>F32<td>F32
1569 <tr><td>F16<td>F16
1570 </table>
1571<tr>
1572 <td>CLFuseBatchNormalization
1573 <td>
1574 <ul>
1575 <li>NHWC
1576 <li>NCHW
1577 </ul>
1578 <td>
1579 <table>
1580 <tr><th>src<th>dst
1581 <tr><td>F32<td>F32
1582 <tr><td>F16<td>F16
1583 </table>
1584<tr>
1585 <td rowspan="2">Gather
1586 <td rowspan="2" style="width:200px;"> Performs the Gather operation along the chosen axis.
1587 <td rowspan="2">
1588 <ul>
1589 <li>ANEURALNETWORKS_GATHER
1590 </ul>
1591 <td>NEGather
1592 <td>
1593 <ul>
1594 <li>All
1595 </ul>
1596 <td>
1597 <table>
1598 <tr><th>src<th>dst
1599 <tr><td>All<td>All
1600 </table>
1601<tr>
1602 <td>CLGather
1603 <td>
1604 <ul>
1605 <li>All
1606 </ul>
1607 <td>
1608 <table>
1609 <tr><th>src<th>dst
1610 <tr><td>All<td>All
1611 </table>
1612<tr>
1613 <td rowspan="2">GEMM
1614 <td rowspan="2" style="width:200px;"> General Matrix Multiplication.
1615 <td rowspan="2">
1616 <ul>
1617 <li>n/a
1618 </ul>
1619 <td>NEGEMM
1620 <td>
1621 <ul>
1622 <li>All
1623 </ul>
1624 <td>
1625 <table>
1626 <tr><th>src0<th>src1<th>src2<th>dst
1627 <tr><td>F32<td>F32<td>F32<td>F32
1628 <tr><td>F16<td>F16<td>F16<td>F16
1629 <tr><td>BFLOAT16<td>BFLOAT16<td>BFLOAT16<td>BFLOAT16
1630 </table>
1631<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]1632 <td>CLGEMM
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1633 <td>
1634 <ul>
1635 <li>All
1636 </ul>
1637 <td>
1638 <table>
1639 <tr><th>src0<th>src1<th>src2<th>dst
1640 <tr><td>F32<td>F32<td>F32<td>F32
1641 <tr><td>F16<td>F16<td>F16<td>F16
1642 </table>
1643<tr>
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]1644 <td rowspan="1">GEMMConv2d
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]1645 <td rowspan="1" style="width:200px;"> General Matrix Multiplication.
1646 <td rowspan="1">
1647 <ul>
1648 <li>ANEURALNETWORKS_CONV_2D
1649 </ul>
1650 <td>NEGEMMConv2d
1651 <td>
1652 <ul>
1653 <li>All
1654 </ul>
1655 <td>
1656 <table>
1657 <tr><th>src0<th>src1<th>src2<th>dst
1658 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
1659 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
1660 <tr><td>F16<td>F16<td>F16<td>F16
1661 <tr><td>F32<td>F32<td>F32<td>F32
1662 <tr><td>BFLOAT16<td>BFLOAT16<td>BFLOAT16<td>BFLOAT16
1663 </table>
1664<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1665 <td rowspan="2">GEMMConvolutionLayer
1666 <td rowspan="2" style="width:200px;"> General Matrix Multiplication.
1667 <td rowspan="2">
1668 <ul>
1669 <li>ANEURALNETWORKS_CONV_2D
1670 </ul>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]1671 <td>NEGEMMConvolutionLayer
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1672 <td>
1673 <ul>
1674 <li>NHWC
1675 <li>NCHW
1676 </ul>
1677 <td>
1678 <table>
1679 <tr><th>src0<th>src1<th>src2<th>dst
1680 <tr><td>F16<td>F16<td>F16<td>F16
1681 <tr><td>F32<td>F32<td>F32<td>F32
1682 <tr><td>BFLOAT16<td>BFLOAT16<td>BFLOAT16<td>BFLOAT16
1683 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
1684 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
1685 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
1686 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
1687 </table>
1688<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]1689 <td>CLGEMMConvolutionLayer
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1690 <td>
1691 <ul>
1692 <li>NHWC
1693 <li>NCHW
1694 </ul>
1695 <td>
1696 <table>
1697 <tr><th>src0<th>src1<th>src2<th>dst
1698 <tr><td>F16<td>F16<td>F16<td>F16
1699 <tr><td>F32<td>F32<td>F32<td>F32
1700 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
1701 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
1702 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
1703 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
1704 </table>
1705<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]1706 <td rowspan="1">GEMMDeconvolutionLayer
1707 <td rowspan="1" style="width:200px;"> General Matrix Multiplication.
1708 <td rowspan="1">
1709 <ul>
1710 <li>ANEURALNETWORKS_TRANSPOSE_CONV_2D
1711 </ul>
1712 <td>CLGEMMDeconvolutionLayer
1713 <td>
1714 <ul>
1715 <li>NHWC
1716 </ul>
1717 <td>
1718 <table>
1719 <tr><th>src0<th>src1<th>src2<th>dst
1720 <tr><td>F16<td>F16<td>F16<td>F16
1721 <tr><td>F32<td>F32<td>F32<td>F32
1722 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
1723 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
1724 </table>
1725<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1726 <td rowspan="2">GEMMLowpMatrixMultiplyCore
1727 <td rowspan="2" style="width:200px;"> General Matrix Multiplication.
1728 <td rowspan="2">
1729 <ul>
1730 <li>n/a
1731 </ul>
1732 <td>NEGEMMLowpMatrixMultiplyCore
1733 <td>
1734 <ul>
1735 <li>NHWC
1736 <li>NCHW
1737 </ul>
1738 <td>
1739 <table>
1740 <tr><th>src0<th>src1<th>src2<th>dst
1741 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
1742 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
1743 <tr><td>QASYMM8<td>QSYMM8<td>S32<td>QASYMM8
1744 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>S32
1745 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>S32
1746 <tr><td>QASYMM8<td>QSYMM8<td>S32<td>S32
1747 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
1748 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
1749 <tr><td>QASYMM8_SIGNED<td>QSYMM8<td>S32<td>QASYMM8_SIGNED
1750 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>S32
1751 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>S32
1752 <tr><td>QASYMM8_SIGNED<td>QSYMM8<td>S32<td>S32
1753 </table>
1754<tr>
1755 <td>CLGEMMLowpMatrixMultiplyCore
1756 <td>
1757 <ul>
1758 <li>NHWC
1759 <li>NCHW
1760 </ul>
1761 <td>
1762 <table>
1763 <tr><th>src0<th>src1<th>src2<th>dst
1764 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>QASYMM8
1765 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8
1766 <tr><td>QASYMM8<td>QSYMM8<td>S32<td>QASYMM8
1767 <tr><td>QASYMM8<td>QASYMM8<td>S32<td>S32
1768 <tr><td>QASYMM8<td>QSYMM8_PER_CHANNEL<td>S32<td>S32
1769 <tr><td>QASYMM8<td>QSYMM8<td>S32<td>S32
1770 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>QASYMM8_SIGNED
1771 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>QASYMM8_SIGNED
1772 <tr><td>QASYMM8_SIGNED<td>QSYMM8<td>S32<td>QASYMM8_SIGNED
1773 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>S32<td>S32
1774 <tr><td>QASYMM8_SIGNED<td>QSYMM8_PER_CHANNEL<td>S32<td>S32
1775 <tr><td>QASYMM8_SIGNED<td>QSYMM8<td>S32<td>S32
1776 </table>
1777<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]1778 <td rowspan="2">GEMMLowpOutputStage
1779 <td rowspan="2" style="width:200px;"> General Matrix Multiplication.
1780 <td rowspan="2">
1781 <ul>
1782 <li>n/a
1783 </ul>
1784 <td>NEGEMMLowpOutputStage
1785 <td>
1786 <ul>
1787 <li>All
1788 </ul>
1789 <td>
1790 <table>
1791 <tr><th>src0<th>src1<th>dst
1792 <tr><td>S32<td>S32<td>QASYMM8
1793 <tr><td>S32<td>S32<td>QASYMM8_SIGNED
1794 <tr><td>S32<td>S32<td>QSYMM16
1795 </table>
1796<tr>
1797 <td>CLGEMMLowpOutputStage
1798 <td>
1799 <ul>
1800 <li>All
1801 </ul>
1802 <td>
1803 <table>
1804 <tr><th>src0<th>src1<th>dst
1805 <tr><td>S32<td>S32<td>QASYMM8
1806 <tr><td>S32<td>S32<td>QASYMM8_SIGNED
1807 <tr><td>S32<td>S32<td>QSYMM16
1808 </table>
1809<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1810 <td rowspan="2">GenerateProposalsLayer
1811 <td rowspan="2" style="width:200px;"> Function to generate proposals for a RPN (Region Proposal Network).
1812 <td rowspan="2">
1813 <ul>
1814 <li>ANEURALNETWORKS_GENERATE_PROPOSALS
1815 </ul>
1816 <td>NEGenerateProposalsLayer
1817 <td>
1818 <ul>
1819 <li>All
1820 </ul>
1821 <td>
1822 <table>
1823 <tr><th>src0<th>src1<th>src2<th>dst
1824 <tr><td>F16<td>F16<td>F16<td>F16
1825 <tr><td>F32<td>F32<td>F32<td>F32
1826 <tr><td>QASYMM8<td>QSYMM8<td>QSYMM16<td>QASYMM8
1827 </table>
1828<tr>
1829 <td>CLGenerateProposalsLayer
1830 <td>
1831 <ul>
1832 <li>All
1833 </ul>
1834 <td>
1835 <table>
1836 <tr><th>src0<th>src1<th>src2<th>dst
1837 <tr><td>F16<td>F16<td>F16<td>F16
1838 <tr><td>F32<td>F32<td>F32<td>F32
1839 <tr><td>QASYMM8<td>QSYMM8<td>QSYMM16<td>QASYMM8
1840 </table>
1841<tr>
1842 <td rowspan="2">InstanceNormalizationLayer
1843 <td rowspan="2" style="width:200px;"> Function to perform a Instance normalization on a given axis.
1844 <td rowspan="2">
1845 <ul>
1846 <li>ANEURALNETWORKS_INSTANCE_NORMALIZATION
1847 </ul>
1848 <td>NEInstanceNormalizationLayer
1849 <td>
1850 <ul>
1851 <li>NHWC
1852 <li>NCHW
1853 </ul>
1854 <td>
1855 <table>
1856 <tr><th>src<th>dst
1857 <tr><td>F16<td>F16
1858 <tr><td>F32<td>F32
1859 </table>
1860<tr>
1861 <td>CLInstanceNormalizationLayer
1862 <td>
1863 <ul>
1864 <li>NHWC
1865 <li>NCHW
1866 </ul>
1867 <td>
1868 <table>
1869 <tr><th>src<th>dst
1870 <tr><td>F16<td>F16
1871 <tr><td>F32<td>F32
1872 </table>
1873<tr>
1874 <td rowspan="2">L2NormalizeLayer
1875 <td rowspan="2" style="width:200px;"> Function to perform a L2 normalization on a given axis.
1876 <td rowspan="2">
1877 <ul>
1878 <li>ANEURALNETWORKS_L2_NORMALIZATION
1879 </ul>
1880 <td>NEL2NormalizeLayer
1881 <td>
1882 <ul>
1883 <li>NHWC
1884 <li>NCHW
1885 </ul>
1886 <td>
1887 <table>
1888 <tr><th>src<th>dst
1889 <tr><td>F16<td>F16
1890 <tr><td>F32<td>F32
1891 </table>
1892<tr>
1893 <td>CLL2NormalizeLayer
1894 <td>
1895 <ul>
1896 <li>NHWC
1897 <li>NCHW
1898 </ul>
1899 <td>
1900 <table>
1901 <tr><th>src<th>dst
1902 <tr><td>F16<td>F16
1903 <tr><td>F32<td>F32
1904 </table>
1905<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]1906 <td rowspan="3">Logical
1907 <td rowspan="3" style="width:200px;"> Function to perform: - Logical AND - Logical OR - Logical NOT
1908 <td rowspan="3">
1909 <ul>
1910 <li>n/a
1911 </ul>
1912 <td>NELogicalAnd
1913 <td>
1914 <ul>
1915 <li>All
1916 </ul>
1917 <td>
1918 <table>
1919 <tr><th>src0<th>src1<th>dst
1920 <tr><td>U8<td>U8<td>U8
1921 </table>
1922<tr>
1923 <td>NELogicalOr
1924 <td>
1925 <ul>
1926 <li>All
1927 </ul>
1928 <td>
1929 <table>
1930 <tr><th>src0<th>src1<th>dst
1931 <tr><td>U8<td>U8<td>U8
1932 </table>
1933<tr>
1934 <td>NELogicalNot
1935 <td>
1936 <ul>
1937 <li>All
1938 </ul>
1939 <td>
1940 <table>
1941 <tr><th>src<th>dst
1942 <tr><td>U8<td>U8
1943 </table>
1944<tr>
1945 <td rowspan="1">LogicalAnd
1946 <td rowspan="1" style="width:200px;"> Function to perform Logical AND.
1947 <td rowspan="1">
1948 <ul>
1949 <li>n/a
1950 </ul>
1951 <td>CLLogicalAnd
1952 <td>
1953 <ul>
1954 <li>All
1955 </ul>
1956 <td>
1957 <table>
1958 <tr><th>src0<th>src1<th>dst
1959 <tr><td>U8<td>U8<td>U8
1960 </table>
1961<tr>
1962 <td rowspan="1">LogicalOr
1963 <td rowspan="1" style="width:200px;"> Function to perform Logical OR.
1964 <td rowspan="1">
1965 <ul>
1966 <li>n/a
1967 </ul>
1968 <td>CLLogicalOr
1969 <td>
1970 <ul>
1971 <li>All
1972 </ul>
1973 <td>
1974 <table>
1975 <tr><th>src0<th>src1<th>dst
1976 <tr><td>U8<td>U8<td>U8
1977 </table>
1978<tr>
1979 <td rowspan="1">LogicalNot
1980 <td rowspan="1" style="width:200px;"> Function to perform Logical NOT.
1981 <td rowspan="1">
1982 <ul>
1983 <li>n/a
1984 </ul>
1985 <td>CLLogicalNot
1986 <td>
1987 <ul>
1988 <li>All
1989 </ul>
1990 <td>
1991 <table>
1992 <tr><th>src<th>dst
1993 <tr><td>U8<td>U8
1994 </table>
1995<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]1996 <td rowspan="2">LSTMLayer
1997 <td rowspan="2" style="width:200px;"> Function to perform a single time step in a Long Short-Term Memory (LSTM) layer.
1998 <td rowspan="2">
1999 <ul>
2000 <li>ANEURALNETWORKS_LSTM
2001 </ul>
2002 <td>NELSTMLayer
2003 <td>
2004 <ul>
2005 <li>All
2006 </ul>
2007 <td>
2008 <table>
2009 <tr><th>src0 - src13<th>dst0 - dst3
2010 <tr><td>F16<td>F16
2011 <tr><td>F32<td>F32
2012 </table>
2013<tr>
2014 <td>CLLSTMLayer
2015 <td>
2016 <ul>
2017 <li>All
2018 </ul>
2019 <td>
2020 <table>
2021 <tr><th>src0 - src13<th>dst0 - dst3
2022 <tr><td>F16<td>F16
2023 <tr><td>F32<td>F32
2024 </table>
2025<tr>
2026 <td rowspan="2">LSTMLayerQuantized
2027 <td rowspan="2" style="width:200px;"> Function to perform quantized LSTM (Long Short-Term Memory)
2028 <td rowspan="2">
2029 <ul>
2030 <li>ANEURALNETWORKS_QUANTIZED_LSTM
2031 <li>ANEURALNETWORKS_QUANTIZED_16BIT_LSTM
2032 </ul>
2033 <td>NELSTMLayerQuantized
2034 <td>
2035 <ul>
2036 <li>All
2037 </ul>
2038 <td>
2039 <table>
2040 <tr><th>src0 - src8<th>src9 - src12<th>src13<th>src14<th>dst0<th>dst1
2041 <tr><td>QASYMM8<td>S32<td>QSYMM16<td>QASYMM8<td>QSYMM16<td>QASYMM8
2042 </table>
2043<tr>
2044 <td>CLLSTMLayerQuantized
2045 <td>
2046 <ul>
2047 <li>All
2048 </ul>
2049 <td>
2050 <table>
2051 <tr><th>src0 - src8<th>src9 - src12<th>src13<th>src14<th>dst0<th>dst1
2052 <tr><td>QASYMM8<td>S32<td>QSYMM16<td>QASYMM8<td>QSYMM16<td>QASYMM8
2053 </table>
2054<tr>
2055 <td rowspan="2">MaxUnpoolingLayer
2056 <td rowspan="2" style="width:200px;"> Function to perform MaxUnpooling.
2057 <td rowspan="2">
2058 <ul>
2059 <li>n/a
2060 </ul>
2061 <td>NEMaxUnpoolingLayer
2062 <td>
2063 <ul>
2064 <li>NHWC
2065 <li>NCHW
2066 </ul>
2067 <td>
2068 <table>
2069 <tr><th>src<th>dst
2070 <tr><td>QASYMM8<td>QASYMM8
2071 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2072 <tr><td>F16<td>F16
2073 <tr><td>F32<td>F32
2074 </table>
2075<tr>
2076 <td>CLMaxUnpoolingLayer
2077 <td>
2078 <ul>
2079 <li>NHWC
2080 <li>NCHW
2081 </ul>
2082 <td>
2083 <table>
2084 <tr><th>src<th>dst
2085 <tr><td>QASYMM8<td>QASYMM8
2086 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2087 <tr><td>F16<td>F16
2088 <tr><td>F32<td>F32
2089 </table>
2090<tr>
2091 <td rowspan="2">MeanStdDevNormalizationLayer
2092 <td rowspan="2" style="width:200px;"> Function to execute mean and standard deviation normalization.
2093 <td rowspan="2">
2094 <ul>
2095 <li>n/a
2096 </ul>
2097 <td>NEMeanStdDevNormalizationLayer
2098 <td>
2099 <ul>
2100 <li>NHWC
2101 <li>NCHW
2102 </ul>
2103 <td>
2104 <table>
2105 <tr><th>src<th>dst
2106 <tr><td>F32<td>F32
2107 <tr><td>F16<td>F16
2108 </table>
2109<tr>
2110 <td>CLMeanStdDevNormalizationLayer
2111 <td>
2112 <ul>
2113 <li>NHWC
2114 <li>NCHW
2115 </ul>
2116 <td>
2117 <table>
2118 <tr><th>src<th>dst
2119 <tr><td>F32<td>F32
2120 <tr><td>F16<td>F16
2121 </table>
2122<tr>
2123 <td rowspan="2">NormalizationLayer
2124 <td rowspan="2" style="width:200px;"> Function to compute normalization layer.
2125 <td rowspan="2">
2126 <ul>
2127 <li>ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION
2128 </ul>
2129 <td>NENormalizationLayer
2130 <td>
2131 <ul>
2132 <li>NHWC
2133 <li>NCHW
2134 </ul>
2135 <td>
2136 <table>
2137 <tr><th>src<th>dst
2138 <tr><td>F32<td>F32
2139 <tr><td>F16<td>F16
2140 </table>
2141<tr>
2142 <td>CLNormalizationLayer
2143 <td>
2144 <ul>
2145 <li>NHWC
2146 <li>NCHW
2147 </ul>
2148 <td>
2149 <table>
2150 <tr><th>src<th>dst
2151 <tr><td>F32<td>F32
2152 <tr><td>F16<td>F16
2153 </table>
2154<tr>
2155 <td rowspan="2">PadLayer
2156 <td rowspan="2" style="width:200px;"> Function to pad a tensor.
2157 <td rowspan="2">
2158 <ul>
2159 <li>ANEURALNETWORKS_PAD
2160 <li>ANEURALNETWORKS_PAD_V2
2161 </ul>
2162 <td>NEPadLayer
2163 <td>
2164 <ul>
2165 <li>NHWC
2166 <li>NCHW
2167 </ul>
2168 <td>
2169 <table>
2170 <tr><th>src<th>dst
2171 <tr><td>All<td>All
2172 </table>
2173<tr>
2174 <td>CLPadLayer
2175 <td>
2176 <ul>
2177 <li>NHWC
2178 <li>NCHW
2179 </ul>
2180 <td>
2181 <table>
2182 <tr><th>src<th>dst
2183 <tr><td>All<td>All
2184 </table>
2185<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2186 <td rowspan="2">Permute
2187 <td rowspan="2" style="width:200px;"> Function to transpose an ND tensor.
2188 <td rowspan="2">
2189 <ul>
2190 <li>ANEURALNETWORKS_TRANSPOSE
2191 </ul>
2192 <td>NEPermute
2193 <td>
2194 <ul>
2195 <li>NHWC
2196 <li>NCHW
2197 </ul>
2198 <td>
2199 <table>
2200 <tr><th>src<th>dst
2201 <tr><td>All<td>All
2202 </table>
2203<tr>
2204 <td>CLPermute
2205 <td>
2206 <ul>
2207 <li>NHWC
2208 <li>NCHW
2209 </ul>
2210 <td>
2211 <table>
2212 <tr><th>src<th>dst
2213 <tr><td>All<td>All
2214 </table>
2215<tr>
2216 <td rowspan="2">PixelWiseMultiplication
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]2217 <td rowspan="2" style="width:200px;"> Function to perform a multiplication.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2218 <td rowspan="2">
2219 <ul>
2220 <li>ANEURALNETWORKS_MUL
2221 </ul>
2222 <td>NEPixelWiseMultiplication
2223 <td>
2224 <ul>
2225 <li>All
2226 </ul>
2227 <td>
2228 <table>
2229 <tr><th>src0<th>src1<th>dst
2230 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
2231 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2232 <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
2233 <tr><td>QSYMM16<td>QSYMM16<td>S32
2234 <tr><td>U8<td>U8<td>U8
2235 <tr><td>U8<td>U8<td>S16
2236 <tr><td>U8<td>S16<td>S16
2237 <tr><td>S16<td>U8<td>S16
2238 <tr><td>S16<td>S16<td>S16
2239 <tr><td>F16<td>F16<td>F16
2240 <tr><td>F32<td>S32<td>F32
2241 </table>
2242<tr>
2243 <td>CLPixelWiseMultiplication
2244 <td>
2245 <ul>
2246 <li>All
2247 </ul>
2248 <td>
2249 <table>
2250 <tr><th>src0<th>src1<th>dst
2251 <tr><td>QASYMM8<td>QASYMM8<td>QASYMM8
2252 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2253 <tr><td>QSYMM16<td>QSYMM16<td>QASYMM16
2254 <tr><td>QSYMM16<td>QSYMM16<td>S32
2255 <tr><td>U8<td>U8<td>U8
2256 <tr><td>U8<td>U8<td>S16
2257 <tr><td>U8<td>S16<td>S16
2258 <tr><td>S16<td>U8<td>S16
2259 <tr><td>S16<td>S16<td>S16
2260 <tr><td>F16<td>F16<td>F16
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]2261 <tr><td>F32<td>F32<td>F32
2262 <tr><td>S32<td>S32<td>S32
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2263 </table>
2264<tr>
2265 <td rowspan="2">PoolingLayer
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]2266 <td rowspan="2" style="width:200px;"> Function to perform pooling with the specified pooling operation.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2267 <td rowspan="2">
2268 <ul>
2269 <li>ANEURALNETWORKS_AVERAGE_POOL_2D
2270 <li>ANEURALNETWORKS_L2_POOL_2D
2271 <li>ANEURALNETWORKS_MAX_POOL_2D
2272 </ul>
2273 <td>NEPoolingLayer
2274 <td>
2275 <ul>
2276 <li>NHWC
2277 <li>NCHW
2278 </ul>
2279 <td>
2280 <table>
2281 <tr><th>src<th>dst
2282 <tr><td>QASYMM8<td>QASYMM8
2283 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2284 <tr><td>F16<td>F16
2285 <tr><td>F32<td>F32
2286 </table>
2287<tr>
2288 <td>CLPoolingLayer
2289 <td>
2290 <ul>
2291 <li>NHWC
2292 <li>NCHW
2293 </ul>
2294 <td>
2295 <table>
2296 <tr><th>src<th>dst
2297 <tr><td>QASYMM8<td>QASYMM8
2298 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2299 <tr><td>F16<td>F16
2300 <tr><td>F32<td>F32
2301 </table>
2302<tr>
Adnan AlSinan171fc3d2022-03-15 18:46:42 +0000[diff] [blame]2303 <td rowspan="2">Pooling3dLayer
2304 <td rowspan="2" style="width:200px;"> Function to perform pooling 3D with the specified pooling operation.
2305 <td rowspan="2">
2306 <ul>
2307 <li>N/A
2308 </ul>
2309 <td>NEPooling3dLayer
2310 <td>
2311 <ul>
2312 <li>NDHWC
2313 </ul>
2314 <td>
2315 <table>
2316 <tr><th>src<th>dst
2317 <tr><td>F16<td>F16
2318 <tr><td>F32<td>F32
Adnan AlSinan9104cd52022-04-06 16:19:31 +0100[diff] [blame]2319 <tr><td>QASYMM8<td>QASYMM8
2320 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
Adnan AlSinan171fc3d2022-03-15 18:46:42 +0000[diff] [blame]2321 </table>
2322<tr>
2323 <td>CLPooling3dLayer
2324 <td>
2325 <ul>
2326 <li>NDHWC
2327 </ul>
2328 <td>
2329 <table>
2330 <tr><th>src<th>dst
2331 <tr><td>F16<td>F16
2332 <tr><td>F32<td>F32
Mohammed Suhail Munshi5e549fa2022-03-16 11:14:06 +0000[diff] [blame]2333 <tr><td>QASYMM8<td>QASYMM8
2334 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
Adnan AlSinan171fc3d2022-03-15 18:46:42 +0000[diff] [blame]2335 </table>
2336<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2337 <td rowspan="2">PReluLayer
2338 <td rowspan="2" style="width:200px;"> Function to compute the activation layer with the PRELU activation function.
2339 <td rowspan="2">
2340 <ul>
2341 <li>ANEURALNETWORKS_PRELU
2342 </ul>
2343 <td>NEPReluLayer
2344 <td>
2345 <ul>
2346 <li>All
2347 </ul>
2348 <td>
2349 <table>
2350 <tr><th>src<th>dst
2351 <tr><td>QASYMM8<td>QASYMM8
2352 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2353 <tr><td>F16<td>F16
2354 <tr><td>F32<td>F32
2355 </table>
2356<tr>
2357 <td>CLPReluLayer
2358 <td>
2359 <ul>
2360 <li>All
2361 </ul>
2362 <td>
2363 <table>
2364 <tr><th>src<th>dst
2365 <tr><td>QASYMM8<td>QASYMM8
2366 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2367 <tr><td>F16<td>F16
2368 <tr><td>F32<td>F32
2369 </table>
2370<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2371 <td rowspan="2">PriorBoxLayer
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]2372 <td rowspan="2" style="width:200px;"> Function to compute prior boxes and clip.
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2373 <td rowspan="2">
2374 <ul>
2375 <li>n/a
2376 </ul>
2377 <td>NEPriorBoxLayer
2378 <td>
2379 <ul>
2380 <li>NHWC
2381 <li>NCHW
2382 </ul>
2383 <td>
2384 <table>
2385 <tr><th>src0<th>src1<th>dst
2386 <tr><td>F32<td>F32<td>F32
2387 </table>
2388<tr>
2389 <td>CLPriorBoxLayer
2390 <td>
2391 <ul>
2392 <li>NHWC
2393 <li>NCHW
2394 </ul>
2395 <td>
2396 <table>
2397 <tr><th>src0<th>src1<th>dst
2398 <tr><td>F32<td>F32<td>F32
2399 </table>
2400<tr>
2401 <td rowspan="2">QLSTMLayer
2402 <td rowspan="2" style="width:200px;"> Function to perform quantized LSTM (Long Short-Term Memory).
2403 <td rowspan="2">
2404 <ul>
2405 <li>ANEURALNETWORKS_QUANTIZED_LSTM
2406 <li>ANEURALNETWORKS_QUANTIZED_16BIT_LSTM
2407 </ul>
2408 <td>NEQLSTMLayer
2409 <td>
2410 <ul>
2411 <li>All
2412 </ul>
2413 <td>
2414 <table>
2415 <tr><th>src0<th>src1 - src6<th>src7 -src9<th>src10<th>src11<th>dst0<th>dst1 - dst2
2416 <tr><td>QASYMM8_SIGNED<td>QASYMM8<td>S32<td>QSYMM16<td>QASYMM8_SIGNED<td>QSYMM16<td>QASYMM8_SIGNED
2417 </table>
2418<tr>
2419 <td>CLQLSTMLayer
2420 <td>
2421 <ul>
2422 <li>All
2423 </ul>
2424 <td>
2425 <table>
2426 <tr><th>src0<th>src1 - src6<th>src7 -src9<th>src10<th>src11<th>dst0<th>dst1 - dst2
2427 <tr><td>QASYMM8_SIGNED<td>QASYMM8<td>S32<td>QSYMM16<td>QASYMM8_SIGNED<td>QSYMM16<td>QASYMM8_SIGNED
2428 </table>
2429<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2430 <td rowspan="2">QuantizationLayer
2431 <td rowspan="2" style="width:200px;"> Function to perform quantization layer
2432 <td rowspan="2">
2433 <ul>
2434 <li>ANEURALNETWORKS_QUANTIZE
2435 </ul>
2436 <td>NEQuantizationLayer
2437 <td>
2438 <ul>
2439 <li>All
2440 </ul>
2441 <td>
2442 <table>
2443 <tr><th>src<th>dst
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2444 <tr><td>QASYMM8<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
2445 <tr><td>QASYMM8_SIGNED<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
2446 <tr><td>F16<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
2447 <tr><td>F32<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2448 </table>
2449<tr>
2450 <td>CLQuantizationLayer
2451 <td>
2452 <ul>
2453 <li>All
2454 </ul>
2455 <td>
2456 <table>
2457 <tr><th>src<th>dst
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2458 <tr><td>QASYMM8<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
2459 <tr><td>QASYMM8_SIGNED<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
2460 <tr><td>F16<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
2461 <tr><td>F32<td>QASYMM8, QASYMM8_SIGNED, QASYMM16
2462 </table>
2463<tr>
2464 <td rowspan="2">Range
2465 <td rowspan="2" style="width:200px;"> Function to generates a sequence of numbers starting from START and extends by increments of 'STEP' up to but not including 'END'.
2466 <td rowspan="2">
2467 <ul>
2468 <li>n/a
2469 </ul>
2470 <td>NERange
2471 <td>
2472 <ul>
2473 <li>All
2474 </ul>
2475 <td>
2476 <table>
2477 <tr><th>dst
2478 <tr><td>U8
2479 <tr><td>S8
2480 <tr><td>U16
2481 <tr><td>S16
2482 <tr><td>U32
2483 <tr><td>S32
2484 <tr><td>F16
2485 <tr><td>F32
2486 </table>
2487<tr>
2488 <td>CLRange
2489 <td>
2490 <ul>
2491 <li>All
2492 </ul>
2493 <td>
2494 <table>
2495 <tr><th>dst
2496 <tr><td>U8
2497 <tr><td>S8
2498 <tr><td>QASYMM8
2499 <tr><td>U16
2500 <tr><td>S16
2501 <tr><td>U32
2502 <tr><td>S32
2503 <tr><td>F16
2504 <tr><td>F32
2505 </table>
2506<tr>
2507 <td rowspan="2">ReduceMean
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]2508 <td rowspan="2" style="width:200px;"> Function to perform reduce mean operation.
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2509 <td rowspan="2">
2510 <ul>
2511 <li>ANEURALNETWORKS_MEAN
2512 </ul>
2513 <td>NEReduceMean
2514 <td>
2515 <ul>
2516 <li>All
2517 </ul>
2518 <td>
2519 <table>
2520 <tr><th>src<th>dst
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2521 <tr><td>QASYMM8<td>QASYMM8
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2522 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2523 <tr><td>F16<td>F16
2524 <tr><td>F32<td>F32
2525 </table>
2526<tr>
2527 <td>CLReduceMean
2528 <td>
2529 <ul>
2530 <li>All
2531 </ul>
2532 <td>
2533 <table>
2534 <tr><th>src<th>dst
2535 <tr><td>QASYMM8<td>QASYMM8
2536 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2537 <tr><td>F16<td>F16
2538 <tr><td>F32<td>F32
2539 </table>
2540<tr>
2541 <td rowspan="2">ReductionOperation
Jakub Sujakee301b32021-06-04 09:46:08 +0100[diff] [blame]2542 <td rowspan="2" style="width:200px;"> Function to perform reduce with the following operations - ARG_IDX_MAX: Index of the max value - ARG_IDX_MIN: Index of the min value - MEAN_SUM: Mean of sum - PROD: Product - SUM_SQUARE: Sum of squares - SUM: Sum - MIN: Min - MAX: Max
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2543 <td rowspan="2">
2544 <ul>
2545 <li>ANEURALNETWORKS_REDUCE_ALL
2546 <li>ANEURALNETWORKS_REDUCE_ANY
2547 <li>ANEURALNETWORKS_REDUCE_MAX
2548 <li>ANEURALNETWORKS_REDUCE_MIN
2549 <li>ANEURALNETWORKS_REDUCE_PROD
2550 <li>ANEURALNETWORKS_REDUCE_SUM
2551 </ul>
2552 <td>NEReductionOperation
2553 <td>
2554 <ul>
2555 <li>All
2556 </ul>
2557 <td>
2558 <table>
2559 <tr><th>src<th>dst
2560 <tr><td>QASYMM8<td>QASYMM8
2561 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2562 <tr><td>F16<td>F16
2563 <tr><td>F32<td>F32
2564 <tr><td>S32<td>S32
2565 </table>
2566<tr>
2567 <td>CLReductionOperation
2568 <td>
2569 <ul>
2570 <li>All
2571 </ul>
2572 <td>
2573 <table>
2574 <tr><th>src<th>dst
2575 <tr><td>QASYMM8<td>QASYMM8
2576 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2577 <tr><td>F16<td>F16
2578 <tr><td>F32<td>F32
2579 <tr><td>S32<td>S32
2580 </table>
2581<tr>
2582 <td rowspan="2">ReorgLayer
2583 <td rowspan="2" style="width:200px;"> Performs a reorganization layer of input tensor to the output tensor.
2584 <td rowspan="2">
2585 <ul>
2586 <li>n/a
2587 </ul>
2588 <td>NEReorgLayer
2589 <td>
2590 <ul>
2591 <li>NHWC
2592 <li>NCHW
2593 </ul>
2594 <td>
2595 <table>
2596 <tr><th>src<th>dst
2597 <tr><td>All<td>All
2598 </table>
2599<tr>
2600 <td>CLReorgLayer
2601 <td>
2602 <ul>
2603 <li>NHWC
2604 <li>NCHW
2605 </ul>
2606 <td>
2607 <table>
2608 <tr><th>src<th>dst
2609 <tr><td>All<td>All
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2610 </table>
2611<tr>
2612 <td rowspan="2">ReshapeLayer
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2613 <td rowspan="2" style="width:200px;"> Function to reshape a tensor.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2614 <td rowspan="2">
2615 <ul>
2616 <li>ANEURALNETWORKS_RESHAPE
2617 <li>ANEURALNETWORKS_SQUEEZE
2618 </ul>
2619 <td>NEReshapeLayer
2620 <td>
2621 <ul>
2622 <li>All
2623 </ul>
2624 <td>
2625 <table>
2626 <tr><th>src<th>dst
2627 <tr><td>All<td>All
2628 </table>
2629<tr>
2630 <td>CLReshapeLayer
2631 <td>
2632 <ul>
2633 <li>All
2634 </ul>
2635 <td>
2636 <table>
2637 <tr><th>src<th>dst
2638 <tr><td>All<td>All
2639 </table>
2640<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2641 <td rowspan="2">Reverse
2642 <td rowspan="2" style="width:200px;"> Function to reverse tensor according to axis.
2643 <td rowspan="2">
2644 <ul>
2645 <li>n/a
2646 </ul>
2647 <td>NEReverse
2648 <td>
2649 <ul>
2650 <li>All
2651 </ul>
2652 <td>
2653 <table>
2654 <tr><th>src0<th>src1<th>dst
2655 <tr><td>All<td>U32<td>All
2656 </table>
2657<tr>
2658 <td>CLReverse
2659 <td>
2660 <ul>
2661 <li>All
2662 </ul>
2663 <td>
2664 <table>
2665 <tr><th>src0<th>src1<th>dst
2666 <tr><td>All<td>U32<td>All
2667 </table>
2668<tr>
2669 <td rowspan="2">RNNLayer
2670 <td rowspan="2" style="width:200px;"> Function to perform recurrent neural network layer.
2671 <td rowspan="2">
2672 <ul>
2673 <li>ANEURALNETWORKS_RNN
2674 </ul>
2675 <td>NERNNLayer
2676 <td>
2677 <ul>
2678 <li>NHWC
2679 <li>NCHW
2680 </ul>
2681 <td>
2682 <table>
2683 <tr><th>src0<th>src1<th>src2<th>src3<th>dst0<th>dst1
2684 <tr><td>F16<td>F16<td>F16<td>F16<td>F16<td>F16
2685 <tr><td>F32<td>F32<td>F32<td>F32<td>F32<td>F32
2686 </table>
2687<tr>
2688 <td>CLRNNLayer
2689 <td>
2690 <ul>
2691 <li>NHWC
2692 <li>NCHW
2693 </ul>
2694 <td>
2695 <table>
2696 <tr><th>src0<th>src1<th>src2<th>src3<th>dst0<th>dst1
2697 <tr><td>F16<td>F16<td>F16<td>F16<td>F16<td>F16
2698 <tr><td>F32<td>F32<td>F32<td>F32<td>F32<td>F32
2699 </table>
2700<tr>
2701 <td rowspan="2">ROIAlignLayer
2702 <td rowspan="2" style="width:200px;"> Function to perform ROI alignment.
2703 <td rowspan="2">
2704 <ul>
2705 <li>ANEURALNETWORKS_ROI_ALIGN
2706 </ul>
2707 <td>NEROIAlignLayer
2708 <td>
2709 <ul>
2710 <li>All
2711 </ul>
2712 <td>
2713 <table>
2714 <tr><th>src0<th>src1<th>dst
2715 <tr><td>F16<td>F16<td>F16
2716 <tr><td>F32<td>F32<td>F32
2717 <tr><td>QASYMM8<td>QASYMM16<td>QASYMM8
2718 <tr><td>QASYMM8_SIGNED<td>QASYMM16<td>QASYMM8_SIGNED
2719 </table>
2720<tr>
2721 <td>CLROIAlignLayer
2722 <td>
2723 <ul>
2724 <li>All
2725 </ul>
2726 <td>
2727 <table>
2728 <tr><th>src0<th>src1<th>dst
2729 <tr><td>F16<td>F16<td>F16
2730 <tr><td>F32<td>F32<td>F32
2731 <tr><td>QASYMM8<td>QASYMM16<td>QASYMM8
2732 <tr><td>QASYMM8_SIGNED<td>QASYMM16<td>QASYMM8_SIGNED
2733 </table>
2734<tr>
2735 <td rowspan="2">ROIPoolingLayer
2736 <td rowspan="2" style="width:200px;"> Function to perform ROI pooling.
2737 <td rowspan="2">
2738 <ul>
2739 <li>ANEURALNETWORKS_ROI_POOLING
2740 </ul>
2741 <td>NEROIPoolingLayer
2742 <td>
2743 <ul>
2744 <li>All
2745 </ul>
2746 <td>
2747 <table>
2748 <tr><th>src0<th>src1<th>dst
2749 <tr><td>F32<td>U16<td>F32
2750 <tr><td>QASYMM8<td>U16<td>QASYMM8
2751 </table>
2752<tr>
2753 <td>CLROIPoolingLayer
2754 <td>
2755 <ul>
2756 <li>All
2757 </ul>
2758 <td>
2759 <table>
2760 <tr><th>src0<th>src1<th>dst
2761 <tr><td>F16<td>U16<td>F16
2762 <tr><td>F32<td>U16<td>F32
2763 <tr><td>QASYMM8<td>U16<td>QASYMM8
2764 </table>
2765<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2766 <td rowspan="2">Scale
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2767 <td rowspan="2" style="width:200px;"> Function to perform resize a tensor using to interpolate: - Bilinear - Nearest neighbor
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2768 <td rowspan="2">
2769 <ul>
2770 <li>ANEURALNETWORKS_RESIZE_BILINEAR
2771 <li>ANEURALNETWORKS_RESIZE_NEAREST_NEIGHBOR
2772 </ul>
2773 <td>NEScale
2774 <td>
2775 <ul>
2776 <li>NHWC
2777 <li>NCHW
2778 </ul>
2779 <td>
2780 <table>
2781 <tr><th>src<th>dst
2782 <tr><td>QASYMM8<td>QASYMM8
2783 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2784 <tr><td>F16<td>F16
2785 <tr><td>F32<td>F32
2786 <tr><td>U8<td>U8
Gunes Bayirc4f27432022-09-11 15:59:19 +0100[diff] [blame]2787 <tr><td>S8<td>S8
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2788 <tr><td>S16<td>S16
2789 </table>
2790<tr>
2791 <td>CLScale
2792 <td>
2793 <ul>
2794 <li>NHWC
2795 <li>NCHW
2796 </ul>
2797 <td>
2798 <table>
2799 <tr><th>src<th>dst
2800 <tr><td>QASYMM8<td>QASYMM8
2801 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2802 <tr><td>F16<td>F16
2803 <tr><td>F32<td>F32
2804 <tr><td>U8<td>U8
2805 <tr><td>S16<td>S16
2806 </table>
2807<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2808 <td rowspan="2">Select
2809 <td rowspan="2" style="width:200px;"> Function to select values from 2 tensors depending on an input tensor of booleans.
2810 <td rowspan="2">
2811 <ul>
2812 <li>ANEURALNETWORKS_SELECT
2813 </ul>
2814 <td>NESelect
2815 <td>
2816 <ul>
2817 <li>All
2818 </ul>
2819 <td>
2820 <table>
2821 <tr><th>src0<th>src1<th>src2<th>dst
2822 <tr><td>U8<td>All<td>All<td>All
2823 </table>
2824<tr>
2825 <td>CLSelect
2826 <td>
2827 <ul>
2828 <li>All
2829 </ul>
2830 <td>
2831 <table>
2832 <tr><th>src0<th>src1<th>src2<th>dst
2833 <tr><td>U8<td>All<td>All<td>All
2834 </table>
2835<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]2836 <td rowspan="2">Slice
2837 <td rowspan="2" style="width:200px;"> Function to perform tensor slicing.
2838 <td rowspan="2">
2839 <ul>
2840 <li>ANEURALNETWORKS_SLICE
2841 </ul>
2842 <td>NESlice
2843 <td>
2844 <ul>
2845 <li>All
2846 </ul>
2847 <td>
2848 <table>
2849 <tr><th>src<th>dst
2850 <tr><td>All<td>All
2851 </table>
2852<tr>
2853 <td>CLSlice
2854 <td>
2855 <ul>
2856 <li>All
2857 </ul>
2858 <td>
2859 <table>
2860 <tr><th>src<th>dst
2861 <tr><td>All<td>All
2862 </table>
2863<tr>
Sheri Zhang6124ce62021-05-04 14:03:13 +0100[diff] [blame]2864 <td rowspan="2">SoftmaxLayer
2865 <td rowspan="2" style="width:200px;"> Function to compute a SoftmaxLayer and a Log SoftmaxLayer.
2866 <td rowspan="2">
2867 <ul>
2868 <li>ANEURALNETWORKS_LOG_SOFTMAX
2869 <li>ANEURALNETWORKS_SOFTMAX
2870 </ul>
2871 <td>NESoftmaxLayerGeneric
2872 <td>
2873 <ul>
2874 <li>All
2875 </ul>
2876 <td>
2877 <table>
2878 <tr><th>src<th>dst
2879 <tr><td>QASYMM8<td>QASYMM8
2880 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2881 <tr><td>F16<td>F16
2882 <tr><td>F32<td>F32
2883 </table>
2884<tr>
2885 <td>CLSoftmaxLayerGeneric
2886 <td>
2887 <ul>
2888 <li>All
2889 </ul>
2890 <td>
2891 <table>
2892 <tr><th>src<th>dst
2893 <tr><td>QASYMM8<td>QASYMM8
2894 <tr><td>QASYMM8_SIGNED<td>QASYMM8_SIGNED
2895 <tr><td>F16<td>F16
2896 <tr><td>F32<td>F32
2897 </table>
2898<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]2899 <td rowspan="2">SpaceToBatchLayer
2900 <td rowspan="2" style="width:200px;"> Function to divide a tensor spatially.
2901 <td rowspan="2">
2902 <ul>
2903 <li>ANEURALNETWORKS_SPACE_TO_BATCH_ND
2904 </ul>
2905 <td>NESpaceToBatchLayer
2906 <td>
2907 <ul>
2908 <li>NHWC
2909 <li>NCHW
2910 </ul>
2911 <td>
2912 <table>
2913 <tr><th>src0<th>src1<th>src2<th>dst
2914 <tr><td>All<td>S32<td>S32<td>All
2915 </table>
2916<tr>
2917 <td>CLSpaceToBatchLayer
2918 <td>
2919 <ul>
2920 <li>NHWC
2921 <li>NCHW
2922 </ul>
2923 <td>
2924 <table>
2925 <tr><th>src0<th>src1<th>src2<th>dst
2926 <tr><td>All<td>S32<td>S32<td>All
2927 </table>
2928<tr>
2929 <td rowspan="2">SpaceToDepthLayer
2930 <td rowspan="2" style="width:200px;"> Function to rearrange blocks of spatial data into depth.
2931 <td rowspan="2">
2932 <ul>
2933 <li>ANEURALNETWORKS_SPACE_TO_DEPTH
2934 </ul>
2935 <td>NESpaceToDepthLayer
2936 <td>
2937 <ul>
2938 <li>NHWC
2939 <li>NCHW
2940 </ul>
2941 <td>
2942 <table>
2943 <tr><th>src<th>dst
2944 <tr><td>All<td>All
2945 </table>
2946<tr>
2947 <td>CLSpaceToDepthLayer
2948 <td>
2949 <ul>
2950 <li>NHWC
2951 <li>NCHW
2952 </ul>
2953 <td>
2954 <table>
2955 <tr><th>src<th>dst
2956 <tr><td>All<td>All
2957 </table>
2958<tr>
2959 <td rowspan="2">Split
2960 <td rowspan="2" style="width:200px;"> Function to split a tensor along a given axis.
2961 <td rowspan="2">
2962 <ul>
2963 <li>ANEURALNETWORKS_SPLIT
2964 </ul>
2965 <td>NESplit
2966 <td>
2967 <ul>
2968 <li>All
2969 </ul>
2970 <td>
2971 <table>
2972 <tr><th>src<th>dst
2973 <tr><td>All<td>All
2974 </table>
2975<tr>
2976 <td>CLSplit
2977 <td>
2978 <ul>
2979 <li>All
2980 </ul>
2981 <td>
2982 <table>
2983 <tr><th>src<th>dst
2984 <tr><td>All<td>All
2985 </table>
2986<tr>
2987 <td rowspan="2">StackLayer
2988 <td rowspan="2" style="width:200px;"> Function to stack tensors along an axis.
2989 <td rowspan="2">
2990 <ul>
2991 <li>n/a
2992 </ul>
2993 <td>NEStackLayer
2994 <td>
2995 <ul>
2996 <li>All
2997 </ul>
2998 <td>
2999 <table>
3000 <tr><th>src<th>dst
3001 <tr><td>All<td>All
3002 </table>
3003<tr>
3004 <td>CLStackLayer
3005 <td>
3006 <ul>
3007 <li>All
3008 </ul>
3009 <td>
3010 <table>
3011 <tr><th>src<th>dst
3012 <tr><td>All<td>All
3013 </table>
3014<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]3015 <td rowspan="2">StridedSlice
3016 <td rowspan="2" style="width:200px;"> Function to extract a strided slice of a tensor.
3017 <td rowspan="2">
3018 <ul>
3019 <li>ANEURALNETWORKS_STRIDED_SLICE
3020 </ul>
3021 <td>NEStridedSlice
3022 <td>
3023 <ul>
3024 <li>All
3025 </ul>
3026 <td>
3027 <table>
3028 <tr><th>src<th>dst
3029 <tr><td>All<td>All
3030 </table>
3031<tr>
3032 <td>CLStridedSlice
3033 <td>
3034 <ul>
3035 <li>All
3036 </ul>
3037 <td>
3038 <table>
3039 <tr><th>src<th>dst
3040 <tr><td>All<td>All
3041 </table>
3042<tr>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]3043 <td rowspan="2">Tile
3044 <td rowspan="2" style="width:200px;"> Function to construct a tensor by tiling a given tensor.
3045 <td rowspan="2">
3046 <ul>
3047 <li>ANEURALNETWORKS_TILE
3048 </ul>
3049 <td>NETile
3050 <td>
3051 <ul>
3052 <li>All
3053 </ul>
3054 <td>
3055 <table>
3056 <tr><th>src<th>dst
3057 <tr><td>All<td>All
3058 </table>
3059<tr>
3060 <td>CLTile
3061 <td>
3062 <ul>
3063 <li>All
3064 </ul>
3065 <td>
3066 <table>
3067 <tr><th>src<th>dst
3068 <tr><td>All<td>All
3069 </table>
3070<tr>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]3071 <td rowspan="2">Transpose
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]3072 <td rowspan="2" style="width:200px;"> Function to transpose a 2D tensor.
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]3073 <td rowspan="2">
3074 <ul>
3075 <li>ANEURALNETWORKS_TRANSPOSE
3076 </ul>
3077 <td>NETranspose
3078 <td>
3079 <ul>
3080 <li>All
3081 </ul>
3082 <td>
3083 <table>
3084 <tr><th>src<th>dst
3085 <tr><td>All<td>All
3086 </table>
3087<tr>
3088 <td>CLTranspose
3089 <td>
3090 <ul>
3091 <li>All
3092 </ul>
3093 <td>
3094 <table>
3095 <tr><th>src<th>dst
3096 <tr><td>All<td>All
3097 </table>
Teresa Charlin62687422021-04-28 10:58:49 +0100[diff] [blame]3098<tr>
3099 <td rowspan="2">Unstack
3100 <td rowspan="2" style="width:200px;"> Function to unpack a rank-R tensor into rank-(R-1) tensors.
3101 <td rowspan="2">
3102 <ul>
3103 <li>n/a
3104 </ul>
3105 <td>NEUnstack
3106 <td>
3107 <ul>
3108 <li>All
3109 </ul>
3110 <td>
3111 <table>
3112 <tr><th>src<th>dst
3113 <tr><td>All<td>All
3114 </table>
3115<tr>
3116 <td>CLUnstack
3117 <td>
3118 <ul>
3119 <li>All
3120 </ul>
3121 <td>
3122 <table>
3123 <tr><th>src<th>dst
3124 <tr><td>All<td>All
3125 </table>
3126<tr>
3127 <td rowspan="2">WinogradConvolutionLayer
3128 <td rowspan="2" style="width:200px;"> Function to do Winograd Convolution.
3129 <td rowspan="2">
3130 <ul>
3131 <li>ANEURALNETWORKS_CONV_2D
3132 </ul>
3133 <td>NEWinogradConvolutionLayer
3134 <td>
3135 <ul>
3136 <li>NHWC
3137 <li>NCHW
3138 </ul>
3139 <td>
3140 <table>
3141 <tr><th>src0<th>src1<th>src2<th>dst
3142 <tr><td>F16<td>F16<td>F16<td>F16
3143 <tr><td>F32<td>F32<td>F32<td>F32
3144 </table>
3145<tr>
3146 <td>CLWinogradConvolutionLayer
3147 <td>
3148 <ul>
3149 <li>NHWC
3150 <li>NCHW
3151 </ul>
3152 <td>
3153 <table>
3154 <tr><th>src0<th>src1<th>src2<th>dst
3155 <tr><td>F16<td>F16<td>F16<td>F16
3156 <tr><td>F32<td>F32<td>F32<td>F32
3157 </table>
Sheri Zhanga47dcc22021-04-22 14:41:12 +0100[diff] [blame]3158</table>
3159
3160*/
Mohammed Suhail Munshi5e549fa2022-03-16 11:14:06 +0000[diff] [blame]3161} // namespace