forked from nekopanda/AviSynthCUDAFilters
-
Notifications
You must be signed in to change notification settings - Fork 1
/
MVKernel.cu
3081 lines (2722 loc) · 101 KB
/
MVKernel.cu
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
#define _CRT_SECURE_NO_WARNINGS
#include "avisynth.h"
#define NOMINMAX
#include <windows.h>
#include <algorithm>
#include <memory>
#include <cuda_runtime_api.h>
#include <cuda_device_runtime_api.h>
#include "CommonFunctions.h"
#include "MVKernel.h"
#include "CudaKernelBase.h"
#include "CudaDebug.h"
#include "ReduceKernel.cuh"
#include "VectorFunctions.cuh"
#include "GenericImageFunctions.cuh"
/////////////////////////////////////////////////////////////////////////////
// MEMCPY
/////////////////////////////////////////////////////////////////////////////
__global__ void memcpy_kernel(uint8_t* dst, const uint8_t* src, int nbytes) {
int x = threadIdx.x + blockIdx.x * blockDim.x;
if (x < nbytes) {
dst[x] = src[x];
}
}
/////////////////////////////////////////////////////////////////////////////
// PadFrame
/////////////////////////////////////////////////////////////////////////////
// width は Pad を含まない長さ
// block(2, -), threads(hPad, -)
template <typename pixel_t>
__global__ void kl_pad_frame_h(pixel_t* ptr, int pitch, int hPad, int width, int height)
{
bool isLeft = (blockIdx.x == 0);
int x = threadIdx.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
if (y < height) {
if (isLeft) {
ptr[x + y * pitch] = ptr[hPad + y * pitch];
}
else {
ptr[(hPad + width + x) + y * pitch] = ptr[(hPad + width - 1) + y * pitch];
}
}
}
// height は Pad を含まない長さ
// block(-, 2), threads(-, vPad)
template <typename pixel_t>
__global__ void kl_pad_frame_v(pixel_t* ptr, int pitch, int vPad, int width, int height)
{
bool isTop = (blockIdx.y == 0);
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y;
if (x < width) {
if (isTop) {
ptr[x + y * pitch] = ptr[x + vPad * pitch];
}
else {
ptr[x + (vPad + height + y) * pitch] = ptr[x + (vPad + height - 1) * pitch];
}
}
}
/////////////////////////////////////////////////////////////////////////////
// Wiener
/////////////////////////////////////////////////////////////////////////////
// so called Wiener interpolation. (sharp, similar to Lanczos ?)
// invarint simplified, 6 taps. Weights: (1, -5, 20, 20, -5, 1)/32 - added by Fizick
template <typename pixel_t>
__global__ void kl_vertical_wiener(pixel_t *pDst, const pixel_t *pSrc, int nDstPitch,
int nSrcPitch, int nWidth, int nHeight, int max_pixel_value)
{
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
if (x < nWidth) {
if (y < 2) {
pDst[x + y * nDstPitch] = (pSrc[x + y * nSrcPitch] + pSrc[x + (y + 1) * nSrcPitch] + 1) >> 1;
}
else if (y < nHeight - 4) {
pDst[x + y * nDstPitch] = min(max_pixel_value, max(0,
(pSrc[x + (y - 2) * nSrcPitch]
+ (-(pSrc[x + (y - 1) * nSrcPitch]) + (pSrc[x + y * nSrcPitch] << 2) +
(pSrc[x + (y + 1) * nSrcPitch] << 2) - (pSrc[x + (y + 2) * nSrcPitch])) * 5
+ (pSrc[x + (y + 3) * nSrcPitch]) + 16) >> 5));
}
else if (y < nHeight - 1) {
pDst[x + y * nDstPitch] = (pSrc[x + y * nSrcPitch] + pSrc[x + (y + 1) * nSrcPitch] + 1) >> 1;
}
else if (y < nHeight) {
// last row
pDst[x + y * nDstPitch] = pSrc[x + y * nSrcPitch];
}
}
}
template <typename pixel_t>
__global__ void kl_horizontal_wiener(pixel_t *pDst, const pixel_t *pSrc, int nDstPitch,
int nSrcPitch, int nWidth, int nHeight, int max_pixel_value)
{
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
if (y < nHeight) {
if (x < 2) {
pDst[x + y * nDstPitch] = (pSrc[x + y * nSrcPitch] + pSrc[(x + 1) + y * nSrcPitch] + 1) >> 1;
}
else if (x < nWidth - 4) {
pDst[x + y * nDstPitch] = min(max_pixel_value, max(0,
(pSrc[(x - 2) + y * nSrcPitch]
+ (-(pSrc[(x - 1) + y * nSrcPitch]) + (pSrc[x + y * nSrcPitch] << 2) +
(pSrc[(x + 1) + y * nSrcPitch] << 2) - (pSrc[(x + 2) + y * nSrcPitch])) * 5
+ (pSrc[(x + 3) + y * nSrcPitch]) + 16) >> 5));
}
else if (x < nWidth - 1) {
pDst[x + y * nDstPitch] = (pSrc[x + y * nSrcPitch] + pSrc[(x + 1) + y * nSrcPitch] + 1) >> 1;
}
else if (x < nWidth) {
// last column
pDst[x + y * nDstPitch] = pSrc[x + y * nSrcPitch];
}
}
}
/////////////////////////////////////////////////////////////////////////////
// RB2BilinearFilter
/////////////////////////////////////////////////////////////////////////////
enum {
RB2B_BILINEAR_W = 32,
RB2B_BILINEAR_H = 16,
};
// BilinearFiltered with 1/8, 3/8, 3/8, 1/8 filter for smoothing and anti-aliasing - Fizick
// threads=(RB2B_BILINEAR_W,RB2B_BILINEAR_H)
// nblocks=(nblocks(nWidth*2, RB2B_BILINEAR_W - 2),nblocks(nHeight,RB2B_BILINEAR_H))
template <typename pixel_t>
__global__ void kl_RB2B_bilinear_filtered(
pixel_t *pDst, const pixel_t *pSrc, int nDstPitch, int nSrcPitch, int nWidth, int nHeight)
{
__shared__ pixel_t tmp[RB2B_BILINEAR_H][RB2B_BILINEAR_W];
int tx = threadIdx.x;
int ty = threadIdx.y;
// Verticalを実行
// Horizontalで参照するため両端1列ずつ余分に実行
int x = tx - 1 + blockIdx.x * (RB2B_BILINEAR_W - 2);
int y = ty + blockIdx.y * RB2B_BILINEAR_H;
int y2 = y * 2;
if (x >= 0 && x < nWidth * 2) {
if (y < 1) {
tmp[ty][tx] = (pSrc[x + y2 * nSrcPitch] + pSrc[x + (y2 + 1) * nSrcPitch] + 1) >> 1;
}
else if (y < nHeight - 1) {
tmp[ty][tx] = (pSrc[x + (y2 - 1) * nSrcPitch]
+ pSrc[x + y2 * nSrcPitch] * 3
+ pSrc[x + (y2 + 1) * nSrcPitch] * 3
+ pSrc[x + (y2 + 2) * nSrcPitch] + 4) / 8;
}
else if (y < nHeight) {
tmp[ty][tx] = (pSrc[x + y2 * nSrcPitch] + pSrc[x + (y2 + 1) * nSrcPitch] + 1) >> 1;
}
}
__syncthreads();
// Horizontalを実行
x = tx + blockIdx.x * ((RB2B_BILINEAR_W - 2) / 2);
int tx2 = tx * 2;
if (tx < ((RB2B_BILINEAR_W - 2) / 2) && y < nHeight) {
// tmpは[0][1]が原点であることに注意
if (x < 1) {
pDst[x + y * nDstPitch] = (tmp[ty][tx2 + 1] + tmp[ty][tx2 + 2] + 1) >> 1;
}
else if (x < nWidth - 1) {
pDst[x + y * nDstPitch] = (tmp[ty][tx2]
+ tmp[ty][tx2 + 1] * 3
+ tmp[ty][tx2 + 2] * 3
+ tmp[ty][tx2 + 3] + 4) / 8;
}
else if (x < nWidth) {
pDst[x + y * nDstPitch] = (tmp[ty][tx2 + 1] + tmp[ty][tx2 + 2] + 1) >> 1;
}
}
}
/////////////////////////////////////////////////////////////////////////////
// SearchMV
/////////////////////////////////////////////////////////////////////////////
typedef int sad_t; // 後でfloatにする
struct SearchBlock {
// [0-3]: nDxMax, nDyMax, nDxMin, nDyMin (MaxはMax-1にしておく)
// [4-9]: Left predictor, Up predictor, bottom-right predictor(from coarse level)
// 無効なところは作らないようにする(最低でもどれか1つは有効なので無効なろところはそのインデックスで埋める)
// [10-11]: predictor の x, y
int data[12];
// [0-3]: penaltyZero, penaltyGlobal, 0(penaltyPredictor), penaltyNew
// [4]: lambda
sad_t dataf[5];
};
#define CLIP_RECT data
#define REF_VECTOR_INDEX (&data[4])
#define PRED_X data[10]
#define PRED_Y data[11]
#define PENALTIES dataf
#define PENALTY_NEW dataf[3]
#define LAMBDA dataf[4]
#define LARGE_COST INT_MAX
struct CostResult {
sad_t cost;
short2 xy;
};
__device__ void dev_clip_mv(short2& v, const int* rect)
{
v.x = (v.x > rect[0]) ? rect[0] : (v.x < rect[2]) ? rect[2] : v.x;
v.y = (v.y > rect[1]) ? rect[1] : (v.y < rect[3]) ? rect[3] : v.y;
}
__device__ bool dev_check_mv(int x, int y, const int* rect)
{
return (x <= rect[0]) & (y <= rect[1]) & (x >= rect[2]) & (y >= rect[3]);
}
__device__ int dev_sq_norm(int ax, int ay, int bx, int by) {
return (ax - bx) * (ax - bx) + (ay - by) * (ay - by);
}
// pRef は ブロックオフセット分を予め移動させておいたポインタ
// vx,vy は サブピクセルも含めたベクトル
template <typename pixel_t, int NPEL>
__device__ const pixel_t* dev_get_ref_block(const pixel_t* pRef, int nPitch, int nImgPitch, int vx, int vy)
{
if (NPEL == 1) {
return &pRef[vx + vy * nPitch];
}
else if (NPEL == 2) {
int sx = vx & 1;
int sy = vy & 1;
int si = sx + sy * 2;
int x = vx >> 1;
int y = vy >> 1;
return &pRef[x + y * nPitch + si * nImgPitch];
}
else { // NPEL == 4
int sx = vx & 3;
int sy = vy & 3;
int si = sx + sy * 4;
int x = vx >> 2;
int y = vy >> 2;
return &pRef[x + y * nPitch + si * nImgPitch];
}
}
template <typename pixel_t, int BLK_SIZE, bool CHROMA>
__device__ sad_t dev_calc_sad(
int wi,
const pixel_t* pSrcY, const pixel_t* pSrcU, const pixel_t* pSrcV,
const pixel_t* pRefY, const pixel_t* pRefU, const pixel_t* pRefV,
int nPitchY, int nPitchU, int nPitchV)
{
enum {
BLK_SIZE_UV = BLK_SIZE / 2,
HALF_UV = BLK_SIZE / 4,
};
int sad = 0;
int yx = wi;
for (int yy = 0; yy < BLK_SIZE; ++yy) { // 16回ループ
sad = __sad(pSrcY[yx + yy * BLK_SIZE], pRefY[yx + yy * nPitchY], sad);
}
if (CHROMA) {
// UVは8x8
int uvx = wi % BLK_SIZE_UV;
int uvy = wi / BLK_SIZE_UV;
for (int t = 0; t < HALF_UV; ++t, uvy += 2) { // 4回ループ
sad = __sad(pSrcU[uvx + uvy * BLK_SIZE_UV], pRefU[uvx + uvy * nPitchU], sad);
sad = __sad(pSrcV[uvx + uvy * BLK_SIZE_UV], pRefV[uvx + uvy * nPitchV], sad);
}
}
dev_reduce_warp<int, BLK_SIZE, AddReducer<int>>(wi, sad);
return sad;
}
#if 0
template <typename pixel_t, int BLK_SIZE, bool CHROMA>
__device__ sad_t dev_calc_sad_debug(
bool debug,
int wi,
const pixel_t* pSrcY, const pixel_t* pSrcU, const pixel_t* pSrcV,
const pixel_t* pRefY, const pixel_t* pRefU, const pixel_t* pRefV,
int nPitchY, int nPitchU, int nPitchV)
{
enum {
BLK_SIZE_UV = BLK_SIZE / 2,
HALF_UV = BLK_SIZE / 4,
};
int sad = 0;
int yx = wi;
for (int yy = 0; yy < BLK_SIZE; ++yy) { // 16回ループ
sad = __sad(pSrcY[yx + yy * BLK_SIZE], pRefY[yx + yy * nPitchY], sad);
if (debug && wi == 0) {
printf("i=%d,sum=%d\n", yy, sad);
}
}
if (CHROMA) {
// UVは8x8
int uvx = wi % BLK_SIZE_UV;
int uvy = wi / BLK_SIZE_UV;
for (int t = 0; t < HALF_UV; ++t, uvy += 2) { // 4回ループ
sad = __sad(pSrcU[uvx + uvy * BLK_SIZE_UV], pRefU[uvx + uvy * nPitchU], sad);
sad = __sad(pSrcV[uvx + uvy * BLK_SIZE_UV], pRefV[uvx + uvy * nPitchV], sad);
if (debug && wi == 0) {
printf("i=%d,sum=%d\n", uvy, sad);
}
}
}
dev_reduce_warp<int, BLK_SIZE, AddReducer<int>>(wi, sad);
return sad;
}
#endif
__device__ void MinCost(CostResult& a, CostResult& b) {
if (*(volatile sad_t*)&a.cost > *(volatile sad_t*)&b.cost) {
*(volatile sad_t*)&a.cost = *(volatile sad_t*)&b.cost;
*(volatile short*)&a.xy.x = *(volatile short*)&b.xy.x;
*(volatile short*)&a.xy.y = *(volatile short*)&b.xy.y;
}
}
// MAX - (MAX/4) <= (結果の個数) <= MAX であること
// スレッド数は (結果の個数) - MAX/2
template <int LEN, bool CPU_EMU>
__device__ void dev_reduce_result(CostResult* tmp, int tid)
{
if (CPU_EMU) {
// 順番をCPU版に合わせる
if (tid == 0) {
for (int i = 1; i < LEN; ++i) {
MinCost(tmp[0], tmp[i]);
}
}
}
else {
if (LEN > 8) MinCost(tmp[tid], tmp[tid + 8]);
MinCost(tmp[tid], tmp[tid + 4]);
MinCost(tmp[tid], tmp[tid + 2]);
MinCost(tmp[tid], tmp[tid + 1]);
}
}
// 順番はCPU版に合わせる
__constant__ int2 c_expanding_search_1_area[] = {
{ 0, -1 },
{ 0, 1 },
{ -1, 0 },
{ 1, 0 },
{ -1, -1 },
{ -1, 1 },
{ 1, -1 },
{ 1, 1 },
};
// __syncthreads()を呼び出しているので全員で呼ぶ
template <typename pixel_t, int BLK_SIZE, int NPEL, bool CHROMA, bool CPU_EMU>
__device__ void dev_expanding_search_1(
int debug,
int tx, int wi, int bx, int cx, int cy,
const int* data, const sad_t* dataf,
CostResult& bestResult,
const pixel_t* pSrcY, const pixel_t* pSrcU, const pixel_t* pSrcV,
const pixel_t* __restrict__ pRefBY, const pixel_t* __restrict__ pRefBU, const pixel_t* __restrict__ pRefBV,
int nPitchY, int nPitchU, int nPitchV,
int nImgPitchY, int nImgPitchU, int nImgPitchV)
{
__shared__ bool isVectorOK[8];
__shared__ CostResult result[8];
__shared__ const pixel_t* pRefY[8];
__shared__ const pixel_t* pRefU[8];
__shared__ const pixel_t* pRefV[8];
if (tx < 8) {
int x = result[tx].xy.x = cx + c_expanding_search_1_area[tx].x;
int y = result[tx].xy.y = cy + c_expanding_search_1_area[tx].y;
bool ok = dev_check_mv(x, y, CLIP_RECT);
int cost = (LAMBDA * dev_sq_norm(x, y, PRED_X, PRED_Y)) >> 8;
// no additional SAD calculations if partial sum is already above minCost
if (cost >= bestResult.cost) {
ok = false;
}
#if 0
if (debug) {
if (wi == 0) printf("expand1 cx=%d,cy=%d\n", cx, cy);
printf("expand1 bx=%d,cost=%d,ok=%d\n", tx, cost, ok);
}
#endif
isVectorOK[tx] = ok;
result[tx].cost = ok ? cost : LARGE_COST;
pRefY[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBY, nPitchY, nImgPitchY, x, y);
if (CHROMA) {
pRefU[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBU, nPitchU, nImgPitchU, x >> 1, y >> 1);
pRefV[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBV, nPitchV, nImgPitchV, x >> 1, y >> 1);
}
}
__syncthreads();
if (isVectorOK[bx]) {
sad_t sad = dev_calc_sad<pixel_t, BLK_SIZE, CHROMA>(wi, pSrcY, pSrcU, pSrcV, pRefY[bx], pRefU[bx], pRefV[bx], nPitchY, nPitchU, nPitchV);
if (wi == 0) {
result[bx].cost += sad + ((sad * PENALTY_NEW) >> 8);
#if 0
if (debug) {
printf("expand1 bx=%d,sad=%d,cost=%d\n", bx, sad, result[bx].cost);
if (bx == 3) {
//if(false) {
printf("srcY: %d,%d,...,%d,%d,... refY: %d,%d,...,%d,%d,... \n",
pSrcY[0], pSrcY[1], pSrcY[0 + BLK_SIZE], pSrcY[1 + BLK_SIZE],
pRefY[bx][0], pRefY[bx][1], pRefY[bx][0 + nPitchY], pRefY[bx][1 + nPitchY]
);
printf("srcU: %d,%d,...,%d,%d,... refU: %d,%d,...,%d,%d,... \n",
pSrcU[0], pSrcU[1], pSrcU[0 + BLK_SIZE / 2], pSrcU[1 + BLK_SIZE / 2],
pRefU[bx][0], pRefU[0][1], pRefU[bx][0 + nPitchU], pRefU[bx][1 + nPitchU]
);
printf("srcV: %d,%d,...,%d,%d,... refV: %d,%d,...,%d,%d,... \n",
pSrcV[0], pSrcV[1], pSrcV[0 + BLK_SIZE / 2], pSrcV[1 + BLK_SIZE / 2],
pRefV[bx][0], pRefV[bx][1], pRefV[bx][0 + nPitchV], pRefV[bx][1 + nPitchV]
);
}
}
#endif
}
}
__syncthreads();
// 結果集約
if (tx < 4) { // reduceは8-4=4スレッドで呼ぶ
dev_reduce_result<8, CPU_EMU>(result, tx);
if (tx == 0) { // tx == 0は最後のデータを書き込んでいるのでアクセスOK
if (result[0].cost < bestResult.cost) {
bestResult = result[0];
}
}
}
}
// 順番はCPU版に合わせる
__constant__ int2 c_expanding_search_2_area[] = {
{ -1, -2 },
{ -1, 2 },
{ 0, -2 },
{ 0, 2 },
{ 1, -2 },
{ 1, 2 },
{ -2, -1 },
{ 2, -1 },
{ -2, 0 },
{ 2, 0 },
{ -2, 1 },
{ 2, 1 },
{ -2, -2 },
{ -2, 2 },
{ 2, -2 },
{ 2, 2 },
};
// __syncthreads()を呼び出しているので全員で呼ぶ
template <typename pixel_t, int BLK_SIZE, int NPEL, bool CHROMA, bool CPU_EMU>
__device__ void dev_expanding_search_2(
int debug,
int tx, int wi, int bx, int cx, int cy,
const int* data, const sad_t* dataf,
CostResult& bestResult,
const pixel_t* pSrcY, const pixel_t* pSrcU, const pixel_t* pSrcV,
const pixel_t* __restrict__ pRefBY, const pixel_t* __restrict__ pRefBU, const pixel_t* __restrict__ pRefBV,
int nPitchY, int nPitchU, int nPitchV,
int nImgPitchY, int nImgPitchU, int nImgPitchV)
{
__shared__ bool isVectorOK[16];
__shared__ CostResult result[16];
__shared__ const pixel_t* pRefY[16];
__shared__ const pixel_t* pRefU[16];
__shared__ const pixel_t* pRefV[16];
if (tx < 16) {
int x = result[tx].xy.x = cx + c_expanding_search_2_area[tx].x;
int y = result[tx].xy.y = cy + c_expanding_search_2_area[tx].y;
bool ok = dev_check_mv(x, y, CLIP_RECT);
int cost = (LAMBDA * dev_sq_norm(x, y, PRED_X, PRED_Y)) >> 8;
// no additional SAD calculations if partial sum is already above minCost
if (cost >= bestResult.cost) {
ok = false;
}
isVectorOK[tx] = ok;
result[tx].cost = ok ? cost : LARGE_COST;
pRefY[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBY, nPitchY, nImgPitchY, x, y);
if (CHROMA) {
pRefU[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBU, nPitchU, nImgPitchU, x >> 1, y >> 1);
pRefV[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBV, nPitchV, nImgPitchV, x >> 1, y >> 1);
}
}
__syncthreads();
if (isVectorOK[bx]) {
sad_t sad = dev_calc_sad<pixel_t, BLK_SIZE, CHROMA>(wi, pSrcY, pSrcU, pSrcV, pRefY[bx], pRefU[bx], pRefV[bx], nPitchY, nPitchU, nPitchV);
if (wi == 0) {
result[bx].cost += sad + ((sad * PENALTY_NEW) >> 8);
}
}
int bx2 = bx + 8;
if (isVectorOK[bx2]) {
sad_t sad = dev_calc_sad<pixel_t, BLK_SIZE, CHROMA>(wi, pSrcY, pSrcU, pSrcV, pRefY[bx2], pRefU[bx2], pRefV[bx2], nPitchY, nPitchU, nPitchV);
if (wi == 0) {
result[bx2].cost += sad + ((sad * PENALTY_NEW) >> 8);
}
}
__syncthreads();
// 結果集約
if (tx < 8) { // reduceは16-8=8スレッドで呼ぶ
dev_reduce_result<16, CPU_EMU>(result, tx);
if (tx == 0) { // tx == 0は最後のデータを書き込んでいるのでアクセスOK
if (result[0].cost < bestResult.cost) {
bestResult = result[0];
}
}
}
}
__constant__ int2 c_hex2_search_1_area[] = {
{ -2, 0 }, { -1, 2 }, { 1, 2 }, { 2, 0 }, { 1, -2 }, { -1, -2 }
};
// __syncthreads()を呼び出しているので全員で呼ぶ
template <typename pixel_t, int BLK_SIZE, int NPEL, bool CHROMA, bool CPU_EMU>
__device__ void dev_hex2_search_1(
int debug,
int tx, int wi, int bx, int cx, int cy,
const int* data, const sad_t* dataf,
CostResult& bestResult,
const pixel_t* pSrcY, const pixel_t* pSrcU, const pixel_t* pSrcV,
const pixel_t* __restrict__ pRefBY, const pixel_t* __restrict__ pRefBU, const pixel_t* __restrict__ pRefBV,
int nPitchY, int nPitchU, int nPitchV,
int nImgPitchY, int nImgPitchU, int nImgPitchV)
{
__shared__ bool isVectorOK[8];
__shared__ CostResult result[8];
__shared__ const pixel_t* pRefY[8];
__shared__ const pixel_t* pRefU[8];
__shared__ const pixel_t* pRefV[8];
if (tx < 8) {
isVectorOK[tx] = false;
}
if (tx < 6) {
int x = result[tx].xy.x = cx + c_hex2_search_1_area[tx].x;
int y = result[tx].xy.y = cy + c_hex2_search_1_area[tx].y;
bool ok = dev_check_mv(x, y, CLIP_RECT);
int cost = (LAMBDA * dev_sq_norm(x, y, PRED_X, PRED_Y)) >> 8;
// no additional SAD calculations if partial sum is already above minCost
if (cost >= bestResult.cost) {
ok = false;
}
isVectorOK[tx] = ok;
result[tx].cost = ok ? cost : LARGE_COST;
pRefY[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBY, nPitchY, nImgPitchY, x, y);
if (CHROMA) {
pRefU[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBU, nPitchU, nImgPitchU, x >> 1, y >> 1);
pRefV[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBV, nPitchV, nImgPitchV, x >> 1, y >> 1);
}
}
__syncthreads();
if (isVectorOK[bx]) {
sad_t sad = dev_calc_sad<pixel_t, BLK_SIZE, CHROMA>(wi, pSrcY, pSrcU, pSrcV, pRefY[bx], pRefU[bx], pRefV[bx], nPitchY, nPitchU, nPitchV);
if (wi == 0) {
result[bx].cost += sad + ((sad * PENALTY_NEW) >> 8);
}
}
__syncthreads();
// 結果集約
if (tx < 2) { // reduceは6-4=2スレッドで呼ぶ
dev_reduce_result<6, CPU_EMU>(result, tx);
if (tx == 0) { // tx == 0は最後のデータを書き込んでいるのでアクセスOK
if (result[0].cost < bestResult.cost) {
bestResult = result[0];
}
}
}
}
template <typename pixel_t, int BLK_SIZE, bool CHROMA>
__device__ void dev_read_pixels(int tx,
const pixel_t* pSrcY, const pixel_t* pSrcU, const pixel_t* pSrcV,
pixel_t *pDstY, pixel_t *pDstU, pixel_t *pDstV,
int nPitchY, int nPitchU, int nPitchV,
int offx, int offy)
{
enum {
BLK_SIZE_UV = BLK_SIZE / 2,
HALF_UV = BLK_SIZE / 4,
};
int x = tx % BLK_SIZE;
int y = tx / BLK_SIZE;
// range(x,y)=(BLK_SIZE,8)
for (int t = 0, yy = y; t < BLK_SIZE / 8; ++t, yy += 8) {
pDstY[x + yy * BLK_SIZE] = pSrcY[(x + offx) + (yy + offy) * nPitchY];
}
if (CHROMA) {
offx >>= 1;
offy >>= 1;
if (BLK_SIZE_UV == 4) {
if (x < BLK_SIZE_UV) {
if (y < BLK_SIZE_UV) { // 0-4
pDstU[x + y * BLK_SIZE_UV] = pSrcU[(x + offx) + (y + offy) * nPitchU];
}
else { // 4-8
y -= BLK_SIZE_UV;
pDstV[x + y * BLK_SIZE_UV] = pSrcV[(x + offx) + (y + offy) * nPitchV];
}
}
}
else if (BLK_SIZE_UV == 8) {
if (x < BLK_SIZE_UV) {
pDstU[x + y * BLK_SIZE_UV] = pSrcU[(x + offx) + (y + offy) * nPitchU];
}
else {
x -= BLK_SIZE_UV;
pDstV[x + y * BLK_SIZE_UV] = pSrcV[(x + offx) + (y + offy) * nPitchV];
}
}
else if (BLK_SIZE_UV == 16) {
int uvx = tx % BLK_SIZE_UV;
int uvy = tx / BLK_SIZE_UV;
// range(uvx,uvy)=(BLK_SIZE_UV,16)
pDstU[uvx + uvy * BLK_SIZE_UV] = pSrcU[(uvx + offx) + (uvy + offy) * nPitchU];
pDstV[uvx + uvy * BLK_SIZE_UV] = pSrcV[(uvx + offx) + (uvy + offy) * nPitchV];
}
}
}
template <typename pixel_t>
struct SearchBatch {
const SearchBlock* __restrict__ blocks;
short2* vectors; // [x,y]
volatile int* prog;
int* next;
const pixel_t* __restrict__ pSrcY;
const pixel_t* __restrict__ pSrcU;
const pixel_t* __restrict__ pSrcV;
const pixel_t* __restrict__ pRefY;
const pixel_t* __restrict__ pRefU;
const pixel_t* __restrict__ pRefV;
};
template <typename pixel_t>
union SearchBatchData {
enum {
LEN = sizeof(SearchBatch<pixel_t>) / sizeof(int)
};
SearchBatch<pixel_t> d;
int data[LEN];
};
// 同期方法 0:同期なし(デバッグ用), 1:1ずつ同期(高精度), 2:2ずつ同期(低精度)
#define ANALYZE_SYNC 1
template <typename pixel_t, int BLK_SIZE, int SEARCH, int NPEL, bool CHROMA, bool CPU_EMU>
__global__ void kl_search(
SearchBatchData<pixel_t> *pdata,
int nBlkX, int nBlkY, int nPad,
int nPitchY, int nPitchUV,
int nImgPitchY, int nImgPitchUV
)
{
// threads=BLK_SIZE*8
enum {
BLK_SIZE_UV = BLK_SIZE / 2,
BLK_STEP = BLK_SIZE / 2,
};
const int tx = threadIdx.x;
const int wi = tx % BLK_SIZE;
const int bx = tx / BLK_SIZE;
__shared__ SearchBatchData<pixel_t> d;
if (tx < SearchBatchData<pixel_t>::LEN) {
d.data[tx] = pdata[blockIdx.x].data[tx];
}
__syncthreads();
__shared__ int blkx;
//for (int blkx = blockIdx.x; blkx < nBlkX; blkx += gridDim.x) {
while (true) {
if (tx == 0) {
blkx = atomicAdd(d.d.next, 1);
}
__syncthreads();
if (blkx >= nBlkX) {
break;
}
for (int blky = 0; blky < nBlkY; ++blky) {
// srcをshared memoryに転送
int offx = nPad + blkx * BLK_STEP;
int offy = nPad + blky * BLK_STEP;
__shared__ pixel_t srcY[BLK_SIZE * BLK_SIZE];
__shared__ pixel_t srcU[BLK_SIZE_UV * BLK_SIZE_UV];
__shared__ pixel_t srcV[BLK_SIZE_UV * BLK_SIZE_UV];
dev_read_pixels<pixel_t, BLK_SIZE, CHROMA>(tx,
d.d.pSrcY, d.d.pSrcU, d.d.pSrcV, srcY, srcU, srcV,
nPitchY, nPitchUV, nPitchUV, offx, offy);
__shared__ const pixel_t* pRefBY;
__shared__ const pixel_t* pRefBU;
__shared__ const pixel_t* pRefBV;
if (tx == 0) {
pRefBY = &d.d.pRefY[offx + offy * nPitchY];
if (CHROMA) {
pRefBU = &d.d.pRefU[(offx >> 1) + (offy >> 1) * nPitchUV];
pRefBV = &d.d.pRefV[(offx >> 1) + (offy >> 1) * nPitchUV];
}
}
// パラメータなどのデータをshared memoryに格納
__shared__ int data[12];
__shared__ sad_t dataf[5];
if (tx < 12) {
int blkIdx = blky*nBlkX + blkx;
data[tx] = d.d.blocks[blkIdx].data[tx];
if (tx < 5) {
dataf[tx] = d.d.blocks[blkIdx].dataf[tx];
}
}
// !!!!! 依存ブロックの計算が終わるのを待つ !!!!!!
#if ANALYZE_SYNC == 1
if (tx == 0 && blkx > 0)
{
while (d.d.prog[blkx - 1] < blky);
}
#elif ANALYZE_SYNC == 2
if (tx == 0 && blkx >= 2)
{
while (d.d.prog[blkx - (1 + (blkx & 1))] < blky);
}
#endif
__syncthreads();
// FetchPredictors
__shared__ CostResult result[8];
__shared__ const pixel_t* pRefY[8];
__shared__ const pixel_t* pRefU[8];
__shared__ const pixel_t* pRefV[8];
if (tx < 7) {
__shared__ volatile short pred[7][2]; // x, y
if (tx < 6) {
// zero, global, predictor, predictors[1]~[3]を取得
short2 vec = d.d.vectors[REF_VECTOR_INDEX[tx]];
dev_clip_mv(vec, CLIP_RECT);
if (CPU_EMU) {
// 3はmedianなので空ける(CPU版と合わせる)
int dx = (tx < 3) ? tx : (tx + 1);
pred[dx][0] = vec.x;
pred[dx][1] = vec.y;
// memfence
if (tx < 2) {
// Median predictor
// 計算効率が悪いので消したい・・・
int a = pred[4][tx];
int b = pred[5][tx];
int c = pred[6][tx];
pred[3][tx] = min(max(min(a, b), c), max(a, b));
}
}
else {
pred[tx][0] = vec.x;
pred[tx][1] = vec.y;
// memfence
if (tx < 2) {
// Median predictor
// 計算効率が悪いので消したい・・・
int a = pred[3][tx];
int b = pred[4][tx];
int c = pred[5][tx];
pred[6][tx] = min(max(min(a, b), c), max(a, b));
}
}
}
// memfence
int x = result[tx].xy.x = pred[tx][0];
int y = result[tx].xy.y = pred[tx][1];
result[tx].cost = (LAMBDA * dev_sq_norm(x, y, PRED_X, PRED_Y)) >> 8;
pRefY[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBY, nPitchY, nImgPitchY, x, y);
if (CHROMA) {
pRefU[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBU, nPitchUV, nImgPitchUV, x >> 1, y >> 1);
pRefV[tx] = dev_get_ref_block<pixel_t, NPEL>(pRefBV, nPitchUV, nImgPitchUV, x >> 1, y >> 1);
}
}
__syncthreads();
bool debug = (nBlkY == 10 && blkx == 1 && blky == 0);
//bool debug = false;
// まずは7箇所を計算
if (bx < 7) {
#if 0
if (wi == 0 && nBlkY == 10 && blkx == 1 && blky == 0) {
printf("1:[%d]: x=%d,y=%d,cost=%d\n", bx, result[bx].xy.x, result[bx].xy.y, result[bx].cost);
}
#endif
sad_t sad = dev_calc_sad<pixel_t, BLK_SIZE, CHROMA>(wi, srcY, srcU, srcV, pRefY[bx], pRefU[bx], pRefV[bx], nPitchY, nPitchUV, nPitchUV);
//sad_t sad = dev_calc_sad_debug<pixel_t, BLK_SIZE, CHROMA>(debug && bx == 3, wi, srcY, srcU, srcV, pRefY[bx], pRefU[bx], pRefV[bx], nPitchY, nPitchUV, nPitchUV);
#if 0
if (blkx == 0 && blky == 0) {
if (bx == 0) {
printf("[SAD] wi=%d, sad=%d\n", wi, sad);
}
dev_reduce_warp<int, 16, AddReducer<int>>(wi, sad);
if (bx == 0 && wi == 0) {
printf("[SAD] reduced sad=%d\n", sad);
}
}
#endif
if (wi == 0) {
if (bx < 3) {
// pzero, pglobal, 0
result[bx].cost = sad + ((sad * PENALTIES[bx]) >> 8);
}
else {
result[bx].cost += sad;
}
#if 0
if (blockIdx.y == 1 && nBlkY == 32 && blkx == 0 && blky == 0) {
if (bx == 0) {
printf("src: %d,%d,...,%d,%d,... ref: %d,%d,...,%d,%d,... \n",
srcY[0], srcY[1], srcY[0 + BLK_SIZE], srcY[1 + BLK_SIZE],
pRefY[0][0], pRefY[0][1], pRefY[0][0 + nPitchY], pRefY[0][1 + nPitchY]
);
printf("src: %d,%d,...,%d,%d,... ref: %d,%d,...,%d,%d,... \n",
srcU[0], srcU[1], srcU[0 + BLK_SIZE / 2], srcU[1 + BLK_SIZE / 2],
pRefU[0][0], pRefU[0][1], pRefU[0][0 + nPitchUV], pRefU[0][1 + nPitchUV]
);
printf("src: %d,%d,...,%d,%d,... ref: %d,%d,...,%d,%d,... \n",
srcV[0], srcV[1], srcV[0 + BLK_SIZE / 2], srcV[1 + BLK_SIZE / 2],
pRefV[0][0], pRefV[0][1], pRefV[0][0 + nPitchUV], pRefV[0][1 + nPitchUV]
);
}
printf("bx=%d,sad=%d,cost=%d\n", bx, sad, result[bx].cost);
}
#endif
}
// とりあえず比較はcostだけでやるのでSADは要らない
// SADは探索が終わったら再計算する
}
__syncthreads();
// 結果集約
if (tx < 3) { // 7-4=3スレッドで呼ぶ
dev_reduce_result<7, CPU_EMU>(result, tx);
}
#if 0
if (tx == 0 && nBlkY == 10 && blkx == 1 && blky == 0) {
printf("1best=(%d,%d,%d)\n", result[0].xy.x, result[0].xy.y, result[0].cost);
}
#endif
__syncthreads();
// Refine
if (SEARCH == 1) {
// EXHAUSTIVE
int bmx = result[0].xy.x;
int bmy = result[0].xy.y;
dev_expanding_search_1<pixel_t, BLK_SIZE, NPEL, CHROMA, CPU_EMU>(debug,
tx, wi, bx, bmx, bmy, data, dataf, result[0],
srcY, srcU, srcV, pRefBY, pRefBU, pRefBV,
nPitchY, nPitchUV, nPitchUV, nImgPitchY, nImgPitchUV, nImgPitchUV);
dev_expanding_search_2<pixel_t, BLK_SIZE, NPEL, CHROMA, CPU_EMU>(debug,
tx, wi, bx, bmx, bmy, data, dataf, result[0],
srcY, srcU, srcV, pRefBY, pRefBU, pRefBV,
nPitchY, nPitchUV, nPitchUV, nImgPitchY, nImgPitchUV, nImgPitchUV);
}
else if (SEARCH == 2) {
// HEX2SEARCH
dev_hex2_search_1<pixel_t, BLK_SIZE, NPEL, CHROMA, CPU_EMU>(debug,
tx, wi, bx, result[0].xy.x, result[0].xy.y, data, dataf, result[0],
srcY, srcU, srcV, pRefBY, pRefBU, pRefBV,
nPitchY, nPitchUV, nPitchUV, nImgPitchY, nImgPitchUV, nImgPitchUV);
dev_expanding_search_1<pixel_t, BLK_SIZE, NPEL, CHROMA, CPU_EMU>(debug,
tx, wi, bx, result[0].xy.x, result[0].xy.y, data, dataf, result[0],
srcY, srcU, srcV, pRefBY, pRefBU, pRefBV,
nPitchY, nPitchUV, nPitchUV, nImgPitchY, nImgPitchUV, nImgPitchUV);
}
if (tx == 0) {
// 結果書き込み
d.d.vectors[blky*nBlkX + blkx] = result[0].xy;
// 結果の書き込みが終わるのを待つ
__threadfence();
// 完了を書き込み
d.d.prog[blkx] = blky;
}
// 共有メモリ保護
__syncthreads();
}
}
}
// threads=BLK_SIZE*8,
template <typename pixel_t, int BLK_SIZE, int NPEL, bool CHROMA>
__global__ void kl_calc_all_sad(
int nBlkX, int nBlkY,
const short2* vectors, // [x,y]
int* dst_sad,
int nPad,
const pixel_t* __restrict__ pSrcY, const pixel_t* __restrict__ pSrcU, const pixel_t* __restrict__ pSrcV,
const pixel_t* __restrict__ pRefY, const pixel_t* __restrict__ pRefU, const pixel_t* __restrict__ pRefV,
int nPitchY, int nPitchUV,
int nImgPitchY, int nImgPitchUV)
{
enum {
BLK_SIZE_UV = BLK_SIZE / 2,
BLK_STEP = BLK_SIZE / 2,
};
int tid = threadIdx.x;
int bx = blockIdx.x;
int by = blockIdx.y;
int offx = nPad + bx * BLK_STEP;
int offy = nPad + by * BLK_STEP;
__shared__ const pixel_t* pRefBY;