summaryrefslogtreecommitdiffstats
path: root/lib/Headers/arm_neon.h
blob: 4508a27f36a45b7187ffc6597e85da3ec82c6a77 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
/*===---- arm_neon.h - NEON intrinsics --------------------------------------===
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 * THE SOFTWARE.
 *
 *===-----------------------------------------------------------------------===
 */

#ifndef __ARM_NEON_H
#define __ARM_NEON_H

#ifndef __ARM_NEON__
#error "NEON support not enabled"
#endif

// NEON document appears to be specified in terms of stdint types.
#include <stdint.h>

// Define some NEON-specific scalar types for floats and polynomials.
typedef float float32_t;
typedef uint8_t poly8_t;

// FIXME: probably need a 'poly' attribute or something for correct codegen to
//        disambiguate from uint16_t.
typedef uint16_t poly16_t;

typedef __attribute__(( __vector_size__(8) ))  int8_t __neon_int8x8_t;
typedef __attribute__(( __vector_size__(16) )) int8_t __neon_int8x16_t;
typedef __attribute__(( __vector_size__(8) ))  int16_t __neon_int16x4_t;
typedef __attribute__(( __vector_size__(16) )) int16_t __neon_int16x8_t;
typedef __attribute__(( __vector_size__(8) ))  int32_t __neon_int32x2_t;
typedef __attribute__(( __vector_size__(16) )) int32_t __neon_int32x4_t;
typedef __attribute__(( __vector_size__(8) ))  int64_t __neon_int64x1_t;
typedef __attribute__(( __vector_size__(16) )) int64_t __neon_int64x2_t;
typedef __attribute__(( __vector_size__(8) ))  uint8_t __neon_uint8x8_t;
typedef __attribute__(( __vector_size__(16) )) uint8_t __neon_uint8x16_t;
typedef __attribute__(( __vector_size__(8) ))  uint16_t __neon_uint16x4_t;
typedef __attribute__(( __vector_size__(16) )) uint16_t __neon_uint16x8_t;
typedef __attribute__(( __vector_size__(8) ))  uint32_t __neon_uint32x2_t;
typedef __attribute__(( __vector_size__(16) )) uint32_t __neon_uint32x4_t;
typedef __attribute__(( __vector_size__(8) ))  uint64_t __neon_uint64x1_t;
typedef __attribute__(( __vector_size__(16) )) uint64_t __neon_uint64x2_t;
typedef __attribute__(( __vector_size__(8) ))  uint16_t __neon_float16x4_t;
typedef __attribute__(( __vector_size__(16) )) uint16_t __neon_float16x8_t;
typedef __attribute__(( __vector_size__(8) ))  float32_t __neon_float32x2_t;
typedef __attribute__(( __vector_size__(16) )) float32_t __neon_float32x4_t;
typedef __attribute__(( __vector_size__(8) ))  poly8_t __neon_poly8x8_t;
typedef __attribute__(( __vector_size__(16) )) poly8_t __neon_poly8x16_t;
typedef __attribute__(( __vector_size__(8) ))  poly16_t __neon_poly16x4_t;
typedef __attribute__(( __vector_size__(16) )) poly16_t __neon_poly16x8_t;

typedef struct __int8x8_t {
  __neon_int8x8_t val;
} int8x8_t;

typedef struct __int8x16_t {
  __neon_int8x16_t val;
} int8x16_t;

typedef struct __int16x4_t {
  __neon_int16x4_t val;
} int16x4_t;

typedef struct __int16x8_t {
  __neon_int16x8_t val;
} int16x8_t;

typedef struct __int32x2_t {
  __neon_int32x2_t val;
} int32x2_t;

typedef struct __int32x4_t {
  __neon_int32x4_t val;
} int32x4_t;

typedef struct __int64x1_t {
  __neon_int64x1_t val;
} int64x1_t;

typedef struct __int64x2_t {
  __neon_int64x2_t val;
} int64x2_t;

typedef struct __uint8x8_t {
  __neon_uint8x8_t val;
} uint8x8_t;

typedef struct __uint8x16_t {
  __neon_uint8x16_t val;
} uint8x16_t;

typedef struct __uint16x4_t {
  __neon_uint16x4_t val;
} uint16x4_t;

typedef struct __uint16x8_t {
  __neon_uint16x8_t val;
} uint16x8_t;

typedef struct __uint32x2_t {
  __neon_uint32x2_t val;
} uint32x2_t;

typedef struct __uint32x4_t {
  __neon_uint32x4_t val;
} uint32x4_t;

typedef struct __uint64x1_t {
  __neon_uint64x1_t val;
} uint64x1_t;

typedef struct __uint64x2_t {
  __neon_uint64x2_t val;
} uint64x2_t;

typedef struct __float16x4_t {
  __neon_float16x4_t val;
} float16x4_t;

typedef struct __float16x8_t {
  __neon_float16x8_t val;
} float16x8_t;

typedef struct __float32x2_t {
  __neon_float32x2_t val;
} float32x2_t;

typedef struct __float32x4_t {
  __neon_float32x4_t val;
} float32x4_t;

typedef struct __poly8x8_t {
  __neon_poly8x8_t val;
} poly8x8_t;

typedef struct __poly8x16_t {
  __neon_poly8x16_t val;
} poly8x16_t;

typedef struct __poly16x4_t {
  __neon_poly16x4_t val;
} poly16x4_t;

typedef struct __poly16x8_t {
  __neon_poly16x8_t val;
} poly16x8_t;

// FIXME: write tool to stamp out the structure-of-array types, possibly gen this whole file.

// Intrinsics, per ARM document DUI0348B
#define __ai static __attribute__((__always_inline__))

#define INTTYPES_WIDE(op, builtin) \
  __ai int16x8_t op##_s8(int16x8_t a, int8x8_t b) { return (int16x8_t){ builtin(a.val, b.val) }; } \
  __ai int32x4_t op##_s16(int32x4_t a, int16x4_t b) { return (int32x4_t){ builtin(a.val, b.val) }; } \
  __ai int64x2_t op##_s32(int64x2_t a, int32x2_t b) { return (int64x2_t){ builtin(a.val, b.val) }; } \
  __ai uint16x8_t op##_u8(uint16x8_t a, uint8x8_t b) { return (uint16x8_t){ builtin(a.val, b.val) }; } \
  __ai uint32x4_t op##_u16(uint32x4_t a, uint16x4_t b) { return (uint32x4_t){ builtin(a.val, b.val) }; } \
  __ai uint64x2_t op##_u32(uint64x2_t a, uint32x2_t b) { return (uint64x2_t){ builtin(a.val, b.val) }; }

#define INTTYPES_WIDENING(op, builtin) \
  __ai int16x8_t op##_s8(int8x8_t a, int8x8_t b) { return (int16x8_t){ builtin(a.val, b.val) }; } \
  __ai int32x4_t op##_s16(int16x4_t a, int16x4_t b) { return (int32x4_t){ builtin(a.val, b.val) }; } \
  __ai int64x2_t op##_s32(int32x2_t a, int32x2_t b) { return (int64x2_t){ builtin(a.val, b.val) }; } \
  __ai uint16x8_t op##_u8(uint8x8_t a, uint8x8_t b) { return (uint16x8_t){ builtin(a.val, b.val) }; } \
  __ai uint32x4_t op##_u16(uint16x4_t a, uint16x4_t b) { return (uint32x4_t){ builtin(a.val, b.val) }; } \
  __ai uint64x2_t op##_u32(uint32x2_t a, uint32x2_t b) { return (uint64x2_t){ builtin(a.val, b.val) }; }

#define INTTYPES_WIDENING_MUL(op, builtin) \
  __ai int16x8_t op##_s8(int16x8_t a, int8x8_t b, int8x8_t c) { return (int16x8_t){ builtin(a.val, b.val, c.val) }; } \
  __ai int32x4_t op##_s16(int32x4_t a, int16x4_t b, int16x4_t c) { return (int32x4_t){ builtin(a.val, b.val, c.val) }; } \
  __ai int64x2_t op##_s32(int64x2_t a, int32x2_t b, int32x2_t c) { return (int64x2_t){ builtin(a.val, b.val, c.val) }; } \
  __ai uint16x8_t op##_u8(uint16x8_t a, uint8x8_t b, uint8x8_t c) { return (uint16x8_t){ builtin(a.val, b.val, c.val) }; } \
  __ai uint32x4_t op##_u16(uint32x4_t a, uint16x4_t b, uint16x4_t c) { return (uint32x4_t){ builtin(a.val, b.val, c.val) }; } \
  __ai uint64x2_t op##_u32(uint64x2_t a, uint32x2_t b, uint32x2_t c) { return (uint64x2_t){ builtin(a.val, b.val, c.val) }; }

#define INTTYPES_NARROWING(op, builtin) \
  __ai int8x8_t op##_s16(int16x8_t a, int16x8_t b) { return (int8x8_t){ builtin(a.val, b.val) }; } \
  __ai int16x4_t op##_s32(int32x4_t a, int32x4_t b) { return (int16x4_t){ builtin(a.val, b.val) }; } \
  __ai int32x2_t op##_s64(int64x2_t a, int64x2_t b) { return (int32x2_t){ builtin(a.val, b.val) }; } \
  __ai uint8x8_t op##_u16(uint16x8_t a, uint16x8_t b) { return (uint8x8_t){ builtin(a.val, b.val) }; } \
  __ai uint16x4_t op##_u32(uint32x4_t a, uint32x4_t b) { return (uint16x4_t){ builtin(a.val, b.val) }; } \
  __ai uint32x2_t op##_u64(uint64x2_t a, uint64x2_t b) { return (uint32x2_t){ builtin(a.val, b.val) }; }

#define INTTYPES_ADD_32(op, builtin) \
  __ai int8x8_t op##_s8(int8x8_t a, int8x8_t b) { return (int8x8_t){ builtin(a.val, b.val) }; } \
  __ai int16x4_t op##_s16(int16x4_t a, int16x4_t b) { return (int16x4_t){ builtin(a.val, b.val) }; } \
  __ai int32x2_t op##_s32(int32x2_t a, int32x2_t b) { return (int32x2_t){ builtin(a.val, b.val) }; } \
  __ai uint8x8_t op##_u8(uint8x8_t a, uint8x8_t b) { return (uint8x8_t){ builtin(a.val, b.val) }; } \
  __ai uint16x4_t op##_u16(uint16x4_t a, uint16x4_t b) { return (uint16x4_t){ builtin(a.val, b.val) }; } \
  __ai uint32x2_t op##_u32(uint32x2_t a, uint32x2_t b) { return (uint32x2_t){ builtin(a.val, b.val) }; } \
  __ai int8x16_t op##q_s8(int8x16_t a, int8x16_t b) { return (int8x16_t){ builtin(a.val, b.val) }; } \
  __ai int16x8_t op##q_s16(int16x8_t a, int16x8_t b) { return (int16x8_t){ builtin(a.val, b.val) }; } \
  __ai int32x4_t op##q_s32(int32x4_t a, int32x4_t b) { return (int32x4_t){ builtin(a.val, b.val) }; } \
  __ai uint8x16_t op##q_u8(uint8x16_t a, uint8x16_t b) { return (uint8x16_t){ builtin(a.val, b.val) }; } \
  __ai uint16x8_t op##q_u16(uint16x8_t a, uint16x8_t b) { return (uint16x8_t){ builtin(a.val, b.val) }; } \
  __ai uint32x4_t op##q_u32(uint32x4_t a, uint32x4_t b) { return (uint32x4_t){ builtin(a.val, b.val) }; }

#define INTTYPES_ADD_64(op, builtin) \
  __ai int64x1_t op##_s64(int64x1_t a, int64x1_t b) { return (int64x1_t){ builtin(a.val, b.val) }; } \
  __ai uint64x1_t op##_u64(uint64x1_t a, uint64x1_t b) { return (uint64x1_t){ builtin(a.val, b.val) }; } \
  __ai int64x2_t op##q_s64(int64x2_t a, int64x2_t b) { return (int64x2_t){ builtin(a.val, b.val) }; } \
  __ai uint64x2_t op##q_u64(uint64x2_t a, uint64x2_t b) { return (uint64x2_t){ builtin(a.val, b.val) }; }

#define FLOATTYPES_CMP(op, builtin) \
  __ai uint32x2_t op##_f32(float32x2_t a, float32x2_t b) { return (uint32x2_t){ builtin(a.val, b.val) }; } \
  __ai uint32x4_t op##q_f32(float32x4_t a, float32x4_t b) { return (uint32x4_t){ builtin(a.val, b.val) }; }

#define INT_FLOAT_CMP_OP(op, cc) \
  __ai uint8x8_t op##_s8(int8x8_t a, int8x8_t b) { return (uint8x8_t){(__neon_uint8x8_t)(a.val cc b.val)}; } \
  __ai uint16x4_t op##_s16(int16x4_t a, int16x4_t b) { return (uint16x4_t){(__neon_uint16x4_t)(a.val cc b.val)}; } \
  __ai uint32x2_t op##_s32(int32x2_t a, int32x2_t b) { return (uint32x2_t){(__neon_uint32x2_t)(a.val cc b.val)}; } \
  __ai uint32x2_t op##_f32(float32x2_t a, float32x2_t b) { return (uint32x2_t){(__neon_uint32x2_t)(a.val cc b.val)}; } \
  __ai uint8x8_t op##_u8(uint8x8_t a, uint8x8_t b) { return (uint8x8_t){a.val cc b.val}; } \
  __ai uint16x4_t op##_u16(uint16x4_t a, uint16x4_t b) { return (uint16x4_t){a.val cc b.val}; } \
  __ai uint32x2_t op##_u32(uint32x2_t a, uint32x2_t b) { return (uint32x2_t){a.val cc b.val}; } \
  __ai uint8x16_t op##q_s8(int8x16_t a, int8x16_t b) { return (uint8x16_t){(__neon_uint8x16_t)(a.val cc b.val)}; } \
  __ai uint16x8_t op##q_s16(int16x8_t a, int16x8_t b) { return (uint16x8_t){(__neon_uint16x8_t)(a.val cc b.val)}; } \
  __ai uint32x4_t op##q_s32(int32x4_t a, int32x4_t b) { return (uint32x4_t){(__neon_uint32x4_t)(a.val cc b.val)}; } \
  __ai uint32x4_t op##q_f32(float32x4_t a, float32x4_t b) { return (uint32x4_t){(__neon_uint32x4_t)(a.val cc b.val)}; } \
  __ai uint8x16_t op##q_u8(uint8x16_t a, uint8x16_t b) { return (uint8x16_t){a.val cc b.val}; } \
  __ai uint16x8_t op##q_u16(uint16x8_t a, uint16x8_t b) { return (uint16x8_t){a.val cc b.val}; } \
  __ai uint32x4_t op##q_u32(uint32x4_t a, uint32x4_t b) { return (uint32x4_t){a.val cc b.val}; } 

#define INT_UNARY(op, builtin) \
  __ai int8x8_t op##_s8(int8x8_t a) { return (int8x8_t){ builtin(a.val) }; } \
  __ai int16x4_t op##_s16(int16x4_t a) { return (int16x4_t){ builtin(a.val) }; } \
  __ai int32x2_t op##_s32(int32x2_t a) { return (int32x2_t){ builtin(a.val) }; } \
  __ai int8x16_t op##q_s8(int8x16_t a) { return (int8x16_t){ builtin(a.val) }; } \
  __ai int16x8_t op##q_s16(int16x8_t a) { return (int16x8_t){ builtin(a.val) }; } \
  __ai int32x4_t op##q_s32(int32x4_t a) { return (int32x4_t){ builtin(a.val) }; }

#define FP_UNARY(op, builtin) \
  __ai float32x2_t op##_f32(float32x2_t a) { return (float32x2_t){ builtin(a.val) }; } \
  __ai float32x4_t op##q_f32(float32x4_t a) { return (float32x4_t){ builtin(a.val) }; }

#define FP_BINARY(op, builtin) \
  __ai float32x2_t op##_f32(float32x2_t a, float32x2_t b) { return (float32x2_t){ builtin(a.val, b.val) }; } \
  __ai float32x4_t op##q_f32(float32x4_t a, float32x4_t b) { return (float32x4_t){ builtin(a.val, b.val) }; }

#define INT_FP_PAIRWISE_ADD(op, builtin) \
  __ai int8x8_t op##_s8(int8x8_t a, int8x8_t b) { return (int8x8_t){ builtin(a.val, b.val) }; } \
  __ai int16x4_t op##_s16(int16x4_t a, int16x4_t b) { return (int16x4_t){ builtin(a.val, b.val) }; } \
  __ai int32x2_t op##_s32(int32x2_t a, int32x2_t b) { return (int32x2_t){ builtin(a.val, b.val) }; } \
  __ai uint8x8_t op##_u8(uint8x8_t a, uint8x8_t b) { return (uint8x8_t){ builtin(a.val, b.val) }; } \
  __ai uint16x4_t op##_u16(uint16x4_t a, uint16x4_t b) { return (uint16x4_t){ builtin(a.val, b.val) }; } \
  __ai uint32x2_t op##_u32(uint32x2_t a, uint32x2_t b) { return (uint32x2_t){ builtin(a.val, b.val) }; } \
  __ai float32x2_t op##_f32(float32x2_t a, float32x2_t b) { return (float32x2_t){ builtin(a.val, b.val) }; }

#define INT_LOGICAL_OP(op, lop) \
  __ai int8x8_t op##_s8(int8x8_t a, int8x8_t b) { return (int8x8_t){ a.val lop b.val }; } \
  __ai int16x4_t op##_s16(int16x4_t a, int16x4_t b) { return (int16x4_t){ a.val lop b.val }; } \
  __ai int32x2_t op##_s32(int32x2_t a, int32x2_t b) { return (int32x2_t){ a.val lop b.val }; } \
  __ai int64x1_t op##_s64(int64x1_t a, int64x1_t b) { return (int64x1_t){ a.val lop b.val }; } \
  __ai uint8x8_t op##_u8(uint8x8_t a, uint8x8_t b) { return (uint8x8_t){ a.val lop b.val }; } \
  __ai uint16x4_t op##_u16(uint16x4_t a, uint16x4_t b) { return (uint16x4_t){ a.val lop b.val }; } \
  __ai uint32x2_t op##_u32(uint32x2_t a, uint32x2_t b) { return (uint32x2_t){ a.val lop b.val }; } \
  __ai uint64x1_t op##_u64(uint64x1_t a, uint64x1_t b) { return (uint64x1_t){ a.val lop b.val }; } \
  __ai int8x16_t op##q_s8(int8x16_t a, int8x16_t b) { return (int8x16_t){ a.val lop b.val }; } \
  __ai int16x8_t op##q_s16(int16x8_t a, int16x8_t b) { return (int16x8_t){ a.val lop b.val }; } \
  __ai int32x4_t op##q_s32(int32x4_t a, int32x4_t b) { return (int32x4_t){ a.val lop b.val }; } \
  __ai int64x2_t op##q_s64(int64x2_t a, int64x2_t b) { return (int64x2_t){ a.val lop b.val }; } \
  __ai uint8x16_t op##q_u8(uint8x16_t a, uint8x16_t b) { return (uint8x16_t){ a.val lop b.val }; } \
  __ai uint16x8_t op##q_u16(uint16x8_t a, uint16x8_t b) { return (uint16x8_t){ a.val lop b.val }; } \
  __ai uint32x4_t op##q_u32(uint32x4_t a, uint32x4_t b) { return (uint32x4_t){ a.val lop b.val }; } \
  __ai uint64x2_t op##q_u64(uint64x2_t a, uint64x2_t b) { return (uint64x2_t){ a.val lop b.val }; }

// vector add
__ai int8x8_t vadd_s8(int8x8_t a, int8x8_t b) { return (int8x8_t){a.val + b.val}; }
__ai int16x4_t vadd_s16(int16x4_t a, int16x4_t b) { return (int16x4_t){a.val + b.val}; }
__ai int32x2_t vadd_s32(int32x2_t a, int32x2_t b) { return (int32x2_t){a.val + b.val}; }
__ai int64x1_t vadd_s64(int64x1_t a, int64x1_t b) { return (int64x1_t){a.val + b.val}; }
__ai float32x2_t vadd_f32(float32x2_t a, float32x2_t b) { return (float32x2_t){a.val + b.val}; }
__ai uint8x8_t vadd_u8(uint8x8_t a, uint8x8_t b) { return (uint8x8_t){a.val + b.val}; }
__ai uint16x4_t vadd_u16(uint16x4_t a, uint16x4_t b) { return (uint16x4_t){a.val + b.val}; }
__ai uint32x2_t vadd_u32(uint32x2_t a, uint32x2_t b) { return (uint32x2_t){a.val + b.val}; }
__ai uint64x1_t vadd_u64(uint64x1_t a, uint64x1_t b) { return (uint64x1_t){a.val + b.val}; }
__ai int8x16_t vaddq_s8(int8x16_t a, int8x16_t b) { return (int8x16_t){a.val + b.val}; }
__ai int16x8_t vaddq_s16(int16x8_t a, int16x8_t b) { return (int16x8_t){a.val + b.val}; }
__ai int32x4_t vaddq_s32(int32x4_t a, int32x4_t b) { return (int32x4_t){a.val + b.val}; }
__ai int64x2_t vaddq_s64(int64x2_t a, int64x2_t b) { return (int64x2_t){a.val + b.val}; }
__ai float32x4_t vaddq_f32(float32x4_t a, float32x4_t b) { return (float32x4_t){a.val + b.val}; }
__ai uint8x16_t vaddq_u8(uint8x16_t a, uint8x16_t b) { return (uint8x16_t){a.val + b.val}; }
__ai uint16x8_t vaddq_u16(uint16x8_t a, uint16x8_t b) { return (uint16x8_t){a.val + b.val}; }
__ai uint32x4_t vaddq_u32(uint32x4_t a, uint32x4_t b) { return (uint32x4_t){a.val + b.val}; }
__ai uint64x2_t vaddq_u64(uint64x2_t a, uint64x2_t b) { return (uint64x2_t){a.val + b.val}; }

// vector long add
INTTYPES_WIDENING(vaddl, __builtin_neon_vaddl)

// vector wide add
INTTYPES_WIDE(vaddw, __builtin_neon_vaddw)

// halving add
// rounding halving add
INTTYPES_ADD_32(vhadd, __builtin_neon_vhadd)
INTTYPES_ADD_32(vrhadd, __builtin_neon_vrhadd)

// saturating add
INTTYPES_ADD_32(vqadd, __builtin_neon_vqadd)
INTTYPES_ADD_64(vqadd, __builtin_neon_vqadd)

// add high half
// rounding add high half
INTTYPES_NARROWING(vaddhn, __builtin_neon_vaddhn)
INTTYPES_NARROWING(vraddhn, __builtin_neon_vraddhn)

// multiply
// mul-poly

// multiple accumulate
// multiple subtract

// multiple accumulate long
// multiple subtract long
INTTYPES_WIDENING_MUL(vmlal, __builtin_neon_vmlal)
INTTYPES_WIDENING_MUL(vmlsl, __builtin_neon_vmlsl)

// saturating doubling multiply high 
// saturating rounding doubling multiply high 

// saturating doubling multiply accumulate long 
// saturating doubling multiply subtract long 

// long multiply
// long multiply-poly
INTTYPES_WIDENING(vmull, __builtin_neon_vmull)
__ai poly16x8_t vmull_p8(poly8x8_t a, poly8x8_t b) { return (poly16x8_t){ __builtin_neon_vmull(a.val, b.val) }; }

// saturating doubling long multiply

// subtract

// long subtract
INTTYPES_WIDENING(vsubl, __builtin_neon_vsubl)

// wide subtract
INTTYPES_WIDE(vsubw, __builtin_neon_vsubw)

// saturating subtract
INTTYPES_ADD_32(vqsub, __builtin_neon_vqsub)
INTTYPES_ADD_64(vqsub, __builtin_neon_vqsub)

// halving subtract
INTTYPES_ADD_32(vhsub, __builtin_neon_vhsub)

// subtract high half
// rounding subtract high half
INTTYPES_NARROWING(vsubhn, __builtin_neon_vsubhn)
INTTYPES_NARROWING(vrsubhn, __builtin_neon_vrsubhn)

// compare eq
// compare ge
// compare le
// compare gt
// compare lt
INT_FLOAT_CMP_OP(vceq, ==)
INT_FLOAT_CMP_OP(vcge, >=)
INT_FLOAT_CMP_OP(vcle, <=)
INT_FLOAT_CMP_OP(vcgt, >)
INT_FLOAT_CMP_OP(vclt, <)

// compare eq-poly

// compare abs ge
// compare abs le
// compare abs gt
// compare abs lt
FLOATTYPES_CMP(vcage, __builtin_neon_vcage)
FLOATTYPES_CMP(vcale, __builtin_neon_vcale)
FLOATTYPES_CMP(vcagt, __builtin_neon_vcagt)
FLOATTYPES_CMP(vcalt, __builtin_neon_vcalt)

// test bits

// abs diff
INTTYPES_ADD_32(vabd, __builtin_neon_vabd)
FP_BINARY(vabd, __builtin_neon_vabd)

// abs diff long
INTTYPES_WIDENING(vabdl, __builtin_neon_vabdl)

// abs diff accumulate
// abs diff accumulate long

// max
// min
INTTYPES_ADD_32(vmax, __builtin_neon_vmax)
FP_BINARY(vmax, __builtin_neon_vmax)
INTTYPES_ADD_32(vmin, __builtin_neon_vmin)
FP_BINARY(vmin, __builtin_neon_vmin)

// pairwise add
// pairwise max
// pairwise min
INT_FP_PAIRWISE_ADD(vpadd, __builtin_neon_vpadd)
INT_FP_PAIRWISE_ADD(vpmax, __builtin_neon_vpmax)
INT_FP_PAIRWISE_ADD(vpmin, __builtin_neon_vpmin)

// long pairwise add
// long pairwise add accumulate

// recip
// recip sqrt
FP_BINARY(vrecps, __builtin_neon_vrecps)
FP_BINARY(vrsqrts, __builtin_neon_vrsqrts)

// shl by vec
// saturating shl by vec
// rounding shl by vec
// saturating rounding shl by vec

// shr by constant
// shl by constant
// rounding shr by constant
// shr by constant and accumulate
// rounding shr by constant and accumulate
// saturating shl by constant
// s->u saturating shl by constant
// narrowing saturating shr by constant
// s->u narrowing saturating shr by constant
// s->u rounding narrowing saturating shr by constant
// narrowing saturating shr by constant
// rounding narrowing shr by constant
// rounding narrowing saturating shr by constant
// widening shl by constant

// shr and insert
// shl and insert

// loads and stores, single vector
// loads and stores, lane
// loads, dupe

// loads and stores, arrays

// vget,vgetq lane
// vset, vsetq lane

// vcreate
// vdup, vdupq
// vmov, vmovq
// vdup_lane, vdupq_lane
// vcombine
// vget_high, vget_low

// vcvt {u,s} <-> f, f <-> f16
// narrow
// long move (unpack)
// saturating narrow
// saturating narrow s->u

// table lookup
// extended table lookup

// mla with scalar
// widening mla with scalar
// widening saturating doubling mla with scalar
// mls with scalar
// widening mls with scalar
// widening saturating doubling mls with scalar
// mul by scalar
// long mul with scalar
// long mul by scalar
// saturating doubling long mul with scalar
// saturating doubling long mul by scalar
// saturating doubling mul high with scalar
// saturating doubling mul high by scalar
// saturating rounding doubling mul high with scalar
// saturating rounding doubling mul high by scalar
// mla with scalar
// widening mla with sclar
// widening saturating doubling mla with scalar
// mls with scalar
// widening mls with scalar
// widening saturating doubling mls with scalar

// extract

// endian swap (vrev)

// negate

// abs
// saturating abs
// saturating negate
// count leading signs
INT_UNARY(vabs, __builtin_neon_vabs)
FP_UNARY(vabs, __builtin_neon_vabs)
INT_UNARY(vqabs, __builtin_neon_vqabs)
INT_UNARY(vqneg, __builtin_neon_vqneg)
INT_UNARY(vcls, __builtin_neon_vcls)

// count leading zeroes
// popcount

// recip_est
// recip_sqrt_est

// not-poly
// not

// and
// or
// xor
// andn
// orn
INT_LOGICAL_OP(vand, &)
INT_LOGICAL_OP(vorr, |)
INT_LOGICAL_OP(veor, ^)
INT_LOGICAL_OP(vbic, &~)
INT_LOGICAL_OP(vorn, |~)

// bitselect

// transpose elts
// interleave elts
// deinterleave elts

// vreinterpret

#endif /* __ARM_NEON_H */
OpenPOWER on IntegriCloud