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Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +01001/*
Michalis Spyroud466c2d2018-01-30 10:54:39 +00002 * Copyright (c) 2017-2018 ARM Limited.
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +01003 *
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 */
24#ifndef __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__
25#define __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__
26
27#include "arm_compute/core/TensorShape.h"
Moritz Pflanzera09de0c2017-09-01 20:41:12 +010028#include "tests/framework/datasets/Datasets.h"
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +010029
30#include <type_traits>
31
32namespace arm_compute
33{
34namespace test
35{
36namespace datasets
37{
Gian Marco5420b282017-11-29 10:41:38 +000038/** Parent type for all for shape datasets. */
39using ShapeDataset = framework::dataset::ContainerDataset<std::vector<TensorShape>>;
40
41/** Data set containing small 1D tensor shapes. */
42class Small1DShapes final : public ShapeDataset
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +010043{
44public:
Gian Marco5420b282017-11-29 10:41:38 +000045 Small1DShapes()
46 : ShapeDataset("Shape",
47 {
48 TensorShape{ 256U }
49 })
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +010050 {
51 }
52};
53
Anthony Barbier1c0d0ff2018-01-31 13:05:09 +000054/** Data set containing tiny 2D tensor shapes. */
55class Tiny2DShapes final : public ShapeDataset
56{
57public:
58 Tiny2DShapes()
59 : ShapeDataset("Shape",
60 {
61 TensorShape{ 7U, 7U },
62 TensorShape{ 11U, 13U },
63 })
64 {
65 }
66};
Moritz Pflanzerb3d25792017-07-26 11:49:37 +010067/** Data set containing small 2D tensor shapes. */
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +010068class Small2DShapes final : public ShapeDataset
69{
70public:
71 Small2DShapes()
72 : ShapeDataset("Shape",
73 {
Moritz Pflanzer3ce3ff42017-07-21 17:41:02 +010074 TensorShape{ 7U, 7U },
75 TensorShape{ 27U, 13U },
76 TensorShape{ 128U, 64U }
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +010077 })
78 {
79 }
80};
81
Anthony Barbier1c0d0ff2018-01-31 13:05:09 +000082/** Data set containing tiny 3D tensor shapes. */
83class Tiny3DShapes final : public ShapeDataset
84{
85public:
86 Tiny3DShapes()
87 : ShapeDataset("Shape",
88 {
89 TensorShape{ 7U, 7U, 5U },
90 TensorShape{ 23U, 13U, 9U },
91 })
92 {
93 }
94};
95
Gian Marco Iodice06b184a2017-08-29 16:05:25 +010096/** Data set containing small 3D tensor shapes. */
97class Small3DShapes final : public ShapeDataset
98{
99public:
100 Small3DShapes()
101 : ShapeDataset("Shape",
102 {
103 TensorShape{ 7U, 7U, 5U },
104 TensorShape{ 27U, 13U, 37U },
105 TensorShape{ 128U, 64U, 21U }
106 })
107 {
108 }
109};
110
Anthony Barbier1c0d0ff2018-01-31 13:05:09 +0000111/** Data set containing tiny 4D tensor shapes. */
112class Tiny4DShapes final : public ShapeDataset
113{
114public:
115 Tiny4DShapes()
116 : ShapeDataset("Shape",
117 {
118 TensorShape{ 7U, 7U, 5U, 3U },
119 TensorShape{ 17U, 13U, 7U, 2U },
120 })
121 {
122 }
123};
Gian Marco Iodice06b184a2017-08-29 16:05:25 +0100124/** Data set containing small 4D tensor shapes. */
125class Small4DShapes final : public ShapeDataset
126{
127public:
128 Small4DShapes()
129 : ShapeDataset("Shape",
130 {
131 TensorShape{ 7U, 7U, 5U, 3U },
132 TensorShape{ 27U, 13U, 37U, 2U },
133 TensorShape{ 128U, 64U, 21U, 3U }
134 })
135 {
136 }
137};
138
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +0100139/** Data set containing small tensor shapes. */
Anthony Barbier1c0d0ff2018-01-31 13:05:09 +0000140class TinyShapes final : public ShapeDataset
141{
142public:
143 TinyShapes()
144 : ShapeDataset("Shape",
145 {
146 // Batch size 1
147 TensorShape{ 9U, 9U },
148 TensorShape{ 27U, 13U, 2U },
149 })
150 {
151 }
152};
153/** Data set containing small tensor shapes. */
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +0100154class SmallShapes final : public ShapeDataset
155{
156public:
157 SmallShapes()
158 : ShapeDataset("Shape",
159 {
SiCong Licaf8c5e2017-08-21 13:12:52 +0100160 // Batch size 1
Gian Marco Iodicebf179552017-09-05 13:51:21 +0100161 TensorShape{ 9U, 9U },
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +0100162 TensorShape{ 27U, 13U, 2U },
SiCong Licaf8c5e2017-08-21 13:12:52 +0100163 TensorShape{ 128U, 64U, 1U, 3U },
164 // Batch size 4
Gian Marco Iodicebf179552017-09-05 13:51:21 +0100165 TensorShape{ 9U, 9U, 3U, 4U },
SiCong Licaf8c5e2017-08-21 13:12:52 +0100166 TensorShape{ 27U, 13U, 2U, 4U },
SiCong Licaf8c5e2017-08-21 13:12:52 +0100167 // Arbitrary batch size
Gian Marco Iodicebf179552017-09-05 13:51:21 +0100168 TensorShape{ 9U, 9U, 3U, 5U }
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +0100169 })
170 {
171 }
172};
173
Diego Lopez Recas0021d752017-12-18 14:42:56 +0000174/** Data set containing pairs of small tensor shapes that are broadcast compatible. */
175class SmallShapesBroadcast final : public framework::dataset::ZipDataset<ShapeDataset, ShapeDataset>
176{
177public:
178 SmallShapesBroadcast()
179 : ZipDataset<ShapeDataset, ShapeDataset>(
180 ShapeDataset("Shape0",
181 {
182 TensorShape{ 9U, 9U },
183 TensorShape{ 27U, 13U, 2U },
184 TensorShape{ 128U, 1U, 5U, 3U },
185 TensorShape{ 9U, 9U, 3U, 4U },
186 TensorShape{ 27U, 13U, 2U, 4U },
187 TensorShape{ 1U, 1U, 1U, 5U }
188 }),
189 ShapeDataset("Shape1",
190 {
191 TensorShape{ 9U, 1U, 2U },
192 TensorShape{ 1U, 13U, 2U },
193 TensorShape{ 128U, 64U, 1U, 3U },
194 TensorShape{ 9U, 1U, 3U },
195 TensorShape{ 1U },
196 TensorShape{ 9U, 9U, 3U, 5U }
197 }))
198 {
199 }
200};
201
steniu01f81652d2017-09-11 15:29:12 +0100202/** Data set containing medium tensor shapes. */
203class MediumShapes final : public ShapeDataset
204{
205public:
206 MediumShapes()
207 : ShapeDataset("Shape",
208 {
209 // Batch size 1
210 TensorShape{ 37U, 37U },
211 TensorShape{ 27U, 33U, 2U },
212 TensorShape{ 128U, 64U, 1U, 3U },
213 // Batch size 4
214 TensorShape{ 37U, 37U, 3U, 4U },
215 TensorShape{ 27U, 33U, 2U, 4U },
216 // Arbitrary batch size
217 TensorShape{ 37U, 37U, 3U, 5U }
218 })
219 {
220 }
221};
222
Gian Marco37908d92017-11-07 14:38:22 +0000223/** Data set containing medium 2D tensor shapes. */
224class Medium2DShapes final : public ShapeDataset
225{
226public:
227 Medium2DShapes()
228 : ShapeDataset("Shape",
229 {
230 TensorShape{ 42U, 37U },
231 TensorShape{ 57U, 60U },
232 TensorShape{ 128U, 64U },
233 TensorShape{ 83U, 72U }
234 })
235 {
236 }
237};
238
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +0100239/** Data set containing large tensor shapes. */
240class LargeShapes final : public ShapeDataset
241{
242public:
243 LargeShapes()
244 : ShapeDataset("Shape",
245 {
SiCong Licaf8c5e2017-08-21 13:12:52 +0100246 // Batch size 1
Gian Marco7f0f7902017-12-07 09:26:56 +0000247 TensorShape{ 1921U, 1083U },
248 TensorShape{ 641U, 485U, 2U, 3U },
249 TensorShape{ 4159U, 3117U },
SiCong Licaf8c5e2017-08-21 13:12:52 +0100250 // Batch size 4
Gian Marco7f0f7902017-12-07 09:26:56 +0000251 TensorShape{ 799U, 595U, 1U, 4U },
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +0100252 })
253 {
254 }
255};
256
Diego Lopez Recas0021d752017-12-18 14:42:56 +0000257/** Data set containing pairs of large tensor shapes that are broadcast compatible. */
258class LargeShapesBroadcast final : public framework::dataset::ZipDataset<ShapeDataset, ShapeDataset>
259{
260public:
261 LargeShapesBroadcast()
262 : ZipDataset<ShapeDataset, ShapeDataset>(
263 ShapeDataset("Shape0",
264 {
265 TensorShape{ 1921U, 541U },
266 TensorShape{ 1U, 485U, 2U, 3U },
267 TensorShape{ 4159U, 1U },
268 TensorShape{ 799U }
269 }),
270 ShapeDataset("Shape1",
271 {
272 TensorShape{ 1921U, 1U, 2U },
273 TensorShape{ 641U, 1U, 2U, 3U },
274 TensorShape{ 1U, 127U, 25U },
275 TensorShape{ 799U, 595U, 1U, 4U }
276 }))
277 {
278 }
279};
280
Gian Marco5420b282017-11-29 10:41:38 +0000281/** Data set containing large 1D tensor shapes. */
282class Large1DShapes final : public ShapeDataset
283{
284public:
285 Large1DShapes()
286 : ShapeDataset("Shape",
287 {
288 TensorShape{ 1921U },
289 TensorShape{ 1245U },
290 TensorShape{ 4160U }
291 })
292 {
293 }
294};
295
Moritz Pflanzerb3d25792017-07-26 11:49:37 +0100296/** Data set containing large 2D tensor shapes. */
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +0100297class Large2DShapes final : public ShapeDataset
298{
299public:
300 Large2DShapes()
301 : ShapeDataset("Shape",
302 {
303 TensorShape{ 1920U, 1080U },
Moritz Pflanzer3ce3ff42017-07-21 17:41:02 +0100304 TensorShape{ 1245U, 652U },
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +0100305 TensorShape{ 4160U, 3120U }
306 })
307 {
308 }
309};
Moritz Pflanzerb3d25792017-07-26 11:49:37 +0100310
Gian Marco Iodice06b184a2017-08-29 16:05:25 +0100311/** Data set containing large 3D tensor shapes. */
312class Large3DShapes final : public ShapeDataset
313{
314public:
315 Large3DShapes()
316 : ShapeDataset("Shape",
317 {
318 TensorShape{ 320U, 240U, 3U },
319 TensorShape{ 383U, 653U, 2U },
320 TensorShape{ 721U, 123U, 13U }
321 })
322 {
323 }
324};
325
326/** Data set containing large 4D tensor shapes. */
327class Large4DShapes final : public ShapeDataset
328{
329public:
330 Large4DShapes()
331 : ShapeDataset("Shape",
332 {
333 TensorShape{ 320U, 123U, 3U, 3U },
334 TensorShape{ 383U, 413U, 2U, 3U },
335 TensorShape{ 517U, 123U, 13U, 2U }
336 })
337 {
338 }
339};
340
Pablo Tellof5f34bb2017-08-22 13:34:13 +0100341/** Data set containing small tensor shapes for deconvolution. */
342class SmallDeconvolutionShapes final : public ShapeDataset
343{
344public:
345 SmallDeconvolutionShapes()
346 : ShapeDataset("InputShape",
347 {
Michalis Spyrou780db4e2017-11-23 09:49:51 +0000348 TensorShape{ 4U, 3U, 3U, 2U },
Pablo Tellof5f34bb2017-08-22 13:34:13 +0100349 TensorShape{ 5U, 5U, 3U },
350 TensorShape{ 11U, 13U, 4U, 3U }
351 })
352 {
353 }
354};
355
Anthony Barbier1c0d0ff2018-01-31 13:05:09 +0000356/** Data set containing tiny tensor shapes for direct convolution. */
357class TinyDirectConvolutionShapes final : public ShapeDataset
358{
359public:
360 TinyDirectConvolutionShapes()
361 : ShapeDataset("InputShape",
362 {
363 // Batch size 1
364 TensorShape{ 11U, 13U, 3U },
365 TensorShape{ 7U, 27U, 3U }
366 })
367 {
368 }
369};
Moritz Pflanzerb3d25792017-07-26 11:49:37 +0100370/** Data set containing small tensor shapes for direct convolution. */
371class SmallDirectConvolutionShapes final : public ShapeDataset
372{
373public:
374 SmallDirectConvolutionShapes()
375 : ShapeDataset("InputShape",
376 {
SiCong Licaf8c5e2017-08-21 13:12:52 +0100377 // Batch size 1
steniu01f81652d2017-09-11 15:29:12 +0100378 TensorShape{ 35U, 35U, 3U },
Moritz Pflanzerb3d25792017-07-26 11:49:37 +0100379 TensorShape{ 32U, 37U, 3U },
SiCong Licaf8c5e2017-08-21 13:12:52 +0100380 // Batch size 4
SiCong Licaf8c5e2017-08-21 13:12:52 +0100381 TensorShape{ 32U, 37U, 3U, 4U },
SiCong Licaf8c5e2017-08-21 13:12:52 +0100382 // Batch size 8
SiCong Licaf8c5e2017-08-21 13:12:52 +0100383 TensorShape{ 32U, 37U, 3U, 8U },
Michalis Spyroud466c2d2018-01-30 10:54:39 +0000384 TensorShape{ 33U, 35U, 8U, 8U }
Moritz Pflanzerb3d25792017-07-26 11:49:37 +0100385 })
386 {
387 }
388};
Gian Marco Iodiceb2833b82017-09-13 16:23:18 +0100389
Xinghang Zhou33ff9ef2018-01-17 11:23:39 +0800390/** Data set containing small tensor shapes for direct convolution. */
391class SmallDirectConvolutionTensorShiftShapes final : public ShapeDataset
392{
393public:
394 SmallDirectConvolutionTensorShiftShapes()
395 : ShapeDataset("InputShape",
396 {
397 // Batch size 1
398 TensorShape{ 35U, 35U, 3U },
399 TensorShape{ 32U, 37U, 3U },
400 // Batch size 4
401 TensorShape{ 32U, 37U, 3U, 4U },
402 // Batch size 8
403 TensorShape{ 32U, 37U, 3U, 8U },
404 TensorShape{ 33U, 35U, 3U, 8U },
405 // Arbitrary batch size
406 TensorShape{ 32U, 37U, 3U, 8U }
407 })
408 {
409 }
410};
411
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000412/** Data set containing 2D tensor shapes for DepthConcatenateLayer. */
413class DepthConcatenateLayerShapes final : public ShapeDataset
Gian Marco Iodiceb2833b82017-09-13 16:23:18 +0100414{
415public:
Giorgio Arena04a8f8c2017-11-23 11:45:24 +0000416 DepthConcatenateLayerShapes()
Gian Marco Iodiceb2833b82017-09-13 16:23:18 +0100417 : ShapeDataset("Shape",
418 {
419 TensorShape{ 322U, 243U },
420 TensorShape{ 463U, 879U },
421 TensorShape{ 416U, 651U }
422 })
423 {
424 }
425};
426
Gian Marco Iodicebf179552017-09-05 13:51:21 +0100427/** Data set containing global pooling tensor shapes. */
428class GlobalPoolingShapes final : public ShapeDataset
429{
430public:
431 GlobalPoolingShapes()
432 : ShapeDataset("Shape",
433 {
434 // Batch size 1
435 TensorShape{ 9U, 9U },
436 TensorShape{ 13U, 13U, 2U },
437 TensorShape{ 27U, 27U, 1U, 3U },
438 // Batch size 4
439 TensorShape{ 31U, 31U, 3U, 4U },
440 TensorShape{ 34U, 34U, 2U, 4U }
441 })
442 {
443 }
444};
Anthony Barbier1c0d0ff2018-01-31 13:05:09 +0000445/** Data set containing tiny softmax layer shapes. */
446class SoftmaxLayerTinyShapes final : public ShapeDataset
447{
448public:
449 SoftmaxLayerTinyShapes()
450 : ShapeDataset("Shape",
451 {
452 TensorShape{ 9U, 9U },
453 TensorShape{ 128U, 10U, 2U },
454 })
455 {
456 }
457};
Gian Marco Iodicebf179552017-09-05 13:51:21 +0100458
Chunosovd6afedc2017-11-06 22:09:45 +0700459/** Data set containing small softmax layer shapes. */
460class SoftmaxLayerSmallShapes final : public ShapeDataset
461{
462public:
463 SoftmaxLayerSmallShapes()
464 : ShapeDataset("Shape",
465 {
466 TensorShape{ 9U, 9U },
467 TensorShape{ 256U, 10U, 2U },
468 TensorShape{ 353U, 8U, 2U, 2U },
469 TensorShape{ 512U, 7U, 2U, 2U },
470 TensorShape{ 633U, 10U, 1U, 2U },
471 TensorShape{ 781U, 5U, 2U },
472 })
473 {
474 }
475};
476
477/** Data set containing large softmax layer shapes. */
478class SoftmaxLayerLargeShapes final : public ShapeDataset
479{
480public:
481 SoftmaxLayerLargeShapes()
482 : ShapeDataset("Shape",
483 {
484 TensorShape{ 1000U, 10U },
485 TensorShape{ 3989U, 10U, 2U },
486 TensorShape{ 4098U, 8U, 1U, 2U },
487 TensorShape{ 7339U, 11U },
488 })
489 {
490 }
491};
492
Ioan-Cristian Szabo2c350182017-12-20 16:27:37 +0000493/** Data set containing 2D tensor shapes relative to an image size. */
494class SmallImageShapes final : public ShapeDataset
495{
496public:
497 SmallImageShapes()
498 : ShapeDataset("Shape",
499 {
500 TensorShape{ 640U, 480U },
501 TensorShape{ 800U, 600U },
502 TensorShape{ 1200U, 800U }
503 })
504 {
505 }
506};
507
508/** Data set containing 2D tensor shapes relative to an image size. */
509class LargeImageShapes final : public ShapeDataset
510{
511public:
512 LargeImageShapes()
513 : ShapeDataset("Shape",
514 {
515 TensorShape{ 1920U, 1080U },
516 TensorShape{ 2560U, 1536U },
517 TensorShape{ 3584U, 2048U }
518 })
519 {
520 }
521};
Moritz Pflanzerf6ad98a2017-07-21 17:19:58 +0100522} // namespace datasets
523} // namespace test
524} // namespace arm_compute
525#endif /* __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__ */