llama-cpp-sys-4 0.4.0

Low Level Bindings to llama.cpp
Documentation
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
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
1858
1859
1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
1870
1871
1872
1873
1874
1875
1876
1877
1878
1879
1880
1881
1882
1883
1884
1885
1886
1887
1888
1889
1890
1891
1892
1893
1894
1895
1896
1897
1898
1899
1900
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
1920
1921
1922
1923
1924
1925
1926
1927
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
2054
2055
2056
2057
2058
2059
2060
2061
2062
2063
2064
2065
2066
2067
2068
2069
2070
2071
2072
2073
2074
2075
2076
2077
2078
2079
2080
2081
2082
2083
2084
2085
2086
2087
2088
2089
2090
2091
2092
2093
2094
2095
2096
2097
2098
2099
2100
2101
2102
2103
2104
2105
2106
2107
#pragma clang diagnostic ignored "-Wunused-variable"
#pragma clang diagnostic ignored "-Wunused-function"
#pragma clang diagnostic ignored "-Wunused-but-set-variable"

#include <assert.h>
#include <HAP_compute_res.h>
#include <HAP_farf.h>
#include <HAP_perf.h>
#include <math.h>
#include <stdbool.h>
#include <stddef.h>
#include <stdint.h>
#include <string.h>

#include "hex-dma.h"
#include "hex-fastdiv.h"
#include "hex-profile.h"
#include "hmx-queue.h"
#include "hmx-utils.h"
#include "hvx-utils.h"
#include "hvx-dump.h"
#include "hvx-copy.h"
#include "hvx-reduce.h"
#include "hvx-flash-attn.h"
#include "vtcm-utils.h"
#include "worker-pool.h"

#define GGML_COMMON_DECL_C
#include "ggml-common.h"
#include "htp-ctx.h"
#include "htp-ops.h"

#include "flash-attn-ops.h"
#include "hvx-fa-kernels.h"
#include "hmx-fa-kernels.h"

// Must be multiple of 32
#define FLASH_ATTN_BLOCK_SIZE (32 * 2)

struct htp_fa_context {
    const struct htp_ops_context * octx;

    struct fastdiv_values src0_div21;
    struct fastdiv_values src0_div1;

    struct fastdiv_values broadcast_rk2;
    struct fastdiv_values broadcast_rk3;
    struct fastdiv_values broadcast_rv2;
    struct fastdiv_values broadcast_rv3;

    struct fastdiv_values src3_div2;
    struct fastdiv_values src3_div3;

    float scale;
    float max_bias;
    __fp16 logit_softcap;

    uint32_t n_head_log2;
    float m0;
    float m1;
    __fp16 slopes[512];

    uint32_t n_blocks;

    size_t size_q_row_padded;
    size_t size_k_row_padded;
    size_t size_v_row_padded;

    size_t size_k_block;
    size_t size_v_block;
    size_t size_m_block;

    uint32_t qrows;
    uint32_t qrows_per_thread;

    bool is_q_fp32;

    size_t size_q_block;
    size_t size_vkq_acc;

    uint8_t * spad_q;
    uint8_t * spad_k;
    uint8_t * spad_v;
    uint8_t * spad_m;
    uint8_t * spad_a;

    uint64_t t_start;
};

struct hmx_fa_context {
    const struct htp_ops_context * octx;
    const struct htp_tensor *      sinks;  // attention sinks (src[4]), NULL if absent
    bool         pipeline;  // true when n_kv_blocks >= FA_MIN_KV_BLOCKS && n_threads >= 2
    uint32_t     n_threads;

    // Op parameters
    __fp16       scale;
    float        max_bias;
    __fp16       logit_softcap;
    uint32_t     n_head_log2;
    float        m0, m1;

    // Dimensions
    uint32_t     DK, DV;
    uint32_t     n_kv;        // kv_len
    uint32_t     n_kv_heads;  // number of KV heads
    uint32_t     n_heads;     // number of Q heads
    uint32_t     G;           // GQA factor = n_heads / n_kv_heads
    struct fastdiv_values div_G;
    struct fastdiv_values src3_div2;
    struct fastdiv_values src3_div3;
    uint32_t     n_kv_blocks;
    uint32_t     neq1;        // Q token count

    // Types
    bool         is_q_fp32;
    bool         is_dst_fp32;

    // Dynamic block sizes
    uint32_t     Br;    // Q tokens per block (before GQA expansion)
    uint32_t     Bc;
    uint32_t     g_br;  // hex_align_up(G * Br, 32) - actual tile row dim

    // VTCM buffers (allocated by vtcm_seq_alloc)
    __fp16 *     vtcm_q_tiles;         // Q tile format [g_br, D]
    __fp16 *     vtcm_o_tiles[2];      // O ping-pong [g_br, D]
    __fp16 *     vtcm_k_fp16[2];       // K DMA double-buffer [Bc, D]
    __fp16 *     vtcm_v_fp16[2];       // V DMA double-buffer [Bc, D]
    __fp16 *     vtcm_k_tiles;         // K tiles (transposed)
    __fp16 *     vtcm_v_tiles[2];      // V tiles (column-major, double-buffered)
    __fp16 *     vtcm_s_tiles;         // S = QK^T [g_br, Bc]
    __fp16 *     vtcm_p_tiles;         // P = softmax(S) [g_br, Bc]
    __fp16 *     vtcm_d_tiles;         // Diagonal rescale [g_br, g_br]
    HVX_Vector * vtcm_m_vec;           // Row max [g_br]
    HVX_Vector * vtcm_l_vec;           // Row sum [g_br]
    HVX_Vector * vtcm_s_rowmax;        // Softmax intermediate [g_br]
    HVX_Vector * vtcm_p_rowsum;        // Softmax intermediate [g_br]
    HVX_Vector * vtcm_row_bufs;        // Per-thread softmax row scratch [n_threads][2][Bc/64]
    uint8_t *    vtcm_hmx_scales_id;   // HMX output scales (identity)
    uint8_t *    vtcm_hmx_scales_qk;   // HMX output scales (qk_scale)
    __fp16 *     vtcm_mask_buf;        // VTCM mask buffer [Br * m_line], DMA'd per KV block
    __fp16 *     vtcm_slopes;          // ALiBi slopes [g_br]
    size_t       row_buf_stride;       // HVX vectors per row buffer (Bc/64)
    size_t       mask_buf_row_stride;  // elements (__fp16) per row in mask buffer
    bool         mask_broadcast;       // true when mask->ne[2] == 1 (head-independent, single 2D DMA)
    dma_cache    m_cache;
};

static void flash_attn_ext_f16_thread(unsigned int nth, unsigned int ith, void * data) {
    struct htp_fa_context * factx = (struct htp_fa_context *) data;
    const struct htp_ops_context * octx = factx->octx;
    const struct htp_tensor * q     = octx->src[0];
    const struct htp_tensor * k     = octx->src[1];
    const struct htp_tensor * v     = octx->src[2];
    const struct htp_tensor * mask  = octx->src[3];
    const struct htp_tensor * sinks = octx->src[4];
    const struct htp_tensor * dst   = octx->dst;

    const uint32_t neq0 = q->ne[0];
    const uint32_t neq1 = q->ne[1];
    const uint32_t neq2 = q->ne[2];
    const uint32_t neq3 = q->ne[3];

    const uint32_t nek0 = k->ne[0];
    const uint32_t nek1 = k->ne[1];
    const uint32_t nek2 = k->ne[2];
    const uint32_t nek3 = k->ne[3];

    const uint32_t nev0 = v->ne[0];
    const uint32_t nev1 = v->ne[1];
    const uint32_t nev2 = v->ne[2];
    const uint32_t nev3 = v->ne[3];

    const uint32_t nbq1 = q->nb[1];
    const uint32_t nbq2 = q->nb[2];
    const uint32_t nbq3 = q->nb[3];

    const uint32_t nbk1 = k->nb[1];
    const uint32_t nbk2 = k->nb[2];
    const uint32_t nbk3 = k->nb[3];

    const uint32_t nbv1 = v->nb[1];
    const uint32_t nbv2 = v->nb[2];
    const uint32_t nbv3 = v->nb[3];

    const uint32_t ne1 = dst->ne[1];
    const uint32_t ne2 = dst->ne[2];
    const uint32_t ne3 = dst->ne[3];

    const uint32_t nb1 = dst->nb[1];
    const uint32_t nb2 = dst->nb[2];
    const uint32_t nb3 = dst->nb[3];

    // total rows in q
    const uint32_t nr = factx->qrows;
    const uint32_t dr = factx->qrows_per_thread;
    const uint32_t ir0 = dr * ith;
    const uint32_t ir1 = MIN(ir0 + dr, nr);

    if (ir0 >= ir1) return;

    struct htp_thread_trace * tr = octx->ctx ? &octx->ctx->trace[ith] : NULL;

    dma_queue * dma = octx->ctx->dma[ith];

    const uint32_t DK = nek0;
    const uint32_t DV = nev0;

    const size_t size_q_row = DK * ((q->type == HTP_TYPE_F32) ? 4 : 2);
    const size_t size_k_row = DK * sizeof(__fp16);
    const size_t size_v_row = DV * sizeof(__fp16);

    // Scratchpad buffers for Q, K, V, Mask, and VKQ32 accumulator
    uint8_t * spad_q = factx->spad_q + factx->size_q_block * ith;
    uint8_t * spad_k = factx->spad_k + factx->size_k_block * 2 * ith;
    uint8_t * spad_v = factx->spad_v + factx->size_v_block * 2 * ith;
    uint8_t * spad_m = factx->spad_m + (mask ? factx->size_m_block * HVX_FA_DMA_CACHE_SIZE : 0) * ith;
    uint8_t * spad_a = factx->spad_a + factx->size_vkq_acc * ith;

    dma_cache m_cache;
    dma_cache_init(&m_cache, spad_m, factx->size_m_block, HVX_FA_DMA_CACHE_SIZE);

    for (uint32_t ir = ir0; ir < ir1; ++ir) {
        const uint32_t iq3 = fastdiv(ir, &factx->src0_div21);
        const uint32_t iq2 = fastdiv(ir - iq3*neq2*neq1, &factx->src0_div1);
        const uint32_t iq1 = (ir - iq3*neq2*neq1 - iq2 * neq1);

        const uint32_t ik3 = fastdiv(iq3, &factx->broadcast_rk3);
        const uint32_t ik2 = fastdiv(iq2, &factx->broadcast_rk2);

        const uint32_t iv3 = fastdiv(iq3, &factx->broadcast_rv3);
        const uint32_t iv2 = fastdiv(iq2, &factx->broadcast_rv2);

        // Fetch Q row
        const uint8_t * q_row_ptr = (const uint8_t *) q->data + (iq1*nbq1 + iq2*nbq2 + iq3*nbq3);
        dma_queue_push(dma, dma_make_ptr(spad_q, q_row_ptr), factx->size_q_row_padded, nbq1, size_q_row, 1);

        const __fp16 * mp_base = NULL;
        if (mask) {
            const uint32_t im2 = fastmodulo(iq2, mask->ne[2], &factx->src3_div2);
            const uint32_t im3 = fastmodulo(iq3, mask->ne[3], &factx->src3_div3);
            mp_base = (const __fp16 *) ((const uint8_t *) mask->data + iq1*mask->nb[1] + im2*mask->nb[2] + im3*mask->nb[3]);
        }

        // Prefetch first two blocks
        for (uint32_t ib = 0; ib < MIN(factx->n_blocks, 2); ++ib) {
            const uint32_t ic_start = ib * FLASH_ATTN_BLOCK_SIZE;
            const uint32_t current_block_size = MIN(FLASH_ATTN_BLOCK_SIZE, nek1 - ic_start);

            // K
            const uint8_t * k_src = (const uint8_t *) k->data + (ic_start*nbk1 + ik2*nbk2 + ik3*nbk3);
            uint8_t * k_dst = spad_k + (ib % 2) * factx->size_k_block;
            dma_queue_push(dma, dma_make_ptr(k_dst, k_src), factx->size_k_row_padded, nbk1, size_k_row, current_block_size);

            // V
            const uint8_t * v_src = (const uint8_t *) v->data + (ic_start*nbv1 + iv2*nbv2 + iv3*nbv3);
            uint8_t * v_dst = spad_v + (ib % 2) * factx->size_v_block;
            dma_queue_push(dma, dma_make_ptr(v_dst, v_src), factx->size_v_row_padded, nbv1, size_v_row, current_block_size);

            // Mask
            if (mask) {
                const uint8_t * m_src = (const uint8_t *) (mp_base + ic_start);
                // Mask is 1D contiguous for this row
                dma_cache_push(dma, &m_cache, m_src, current_block_size * 2, current_block_size * 2, current_block_size * 2, 1);
            }
        }

        const uint32_t h = iq2; // head index
        const __fp16 slope = factx->slopes[h];

        HVX_Vector S_vec = hvx_vec_splat_f32(0.0f);
        HVX_Vector M_vec = hvx_vec_splat_f32(HTP_FA_M_INITIAL_VAL);

        // Clear accumulator
        hvx_splat_f32_a(spad_a, 0, DV);
        float * VKQ32 = (float *) (spad_a + 0);

        uint8_t * q_ptr_vtcm = dma_queue_pop(dma).dst;
        if (factx->is_q_fp32) {
            hvx_copy_f16_f32_aa(q_ptr_vtcm, q_ptr_vtcm, DK);  // inplace convert f32 to f16
        }

        const HVX_Vector slope_vec = hvx_vec_splat_f16(slope);
        const HVX_Vector v_neg_inf = Q6_Vh_vsplat_R(0xfbff);
        for (uint32_t ib = 0; ib < factx->n_blocks; ++ib) {
            const uint32_t ic_start = ib * FLASH_ATTN_BLOCK_SIZE;
            const uint32_t current_block_size = MIN(FLASH_ATTN_BLOCK_SIZE, nek1 - ic_start);

            // Wait for DMA
            uint8_t * k_base = dma_queue_pop(dma).dst; // K
            uint8_t * v_base = dma_queue_pop(dma).dst; // V
            __fp16  * m_base = mask ? dma_queue_pop(dma).dst : NULL; // M

            htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_FA_QK, ir);

            // Inner loop processing the block from VTCM
            // 1. Compute scores (64 elements FP16)
            HVX_Vector scores_f16 = Q6_V_vzero();
            if (current_block_size > 0) {
                HVX_Vector scores0 = hvx_dot_f16_f16_aa_rx32(q_ptr_vtcm, k_base, factx->size_k_row_padded, DK, factx->scale);
                HVX_Vector scores1 = (current_block_size > 32) ? hvx_dot_f16_f16_aa_rx32(q_ptr_vtcm, k_base + 32 * factx->size_k_row_padded, factx->size_k_row_padded, DK, factx->scale) : Q6_V_vzero();
                scores_f16 = hvx_vec_f32_to_f16(scores0, scores1);
            }

            // 2. Softcap (in FP16)
            if (factx->logit_softcap != 0.0f) {
                const HVX_Vector v_cap = hvx_vec_splat_f16(factx->logit_softcap);
                scores_f16 = hvx_vec_tanh_f16(scores_f16);
                scores_f16 = hvx_vec_mul_f16_f16(scores_f16, v_cap);
            }

            HVX_VectorPred q_tail_keep = Q6_Q_vsetq2_R(current_block_size * sizeof(__fp16));

            // 3. Mask (in FP16)
            if (mask) {
                HVX_Vector m_vals_f16 = *(const HVX_UVector *) m_base;
                HVX_Vector vinf = Q6_Vh_vsplat_R(0xFC00);
                HVX_Vector vmin = Q6_Vh_vsplat_R(0xFBFF);
                HVX_VectorPred is_inf = Q6_Q_vcmp_eq_VhVh(m_vals_f16, vinf);
                m_vals_f16 = Q6_V_vmux_QVV(is_inf, vmin, m_vals_f16);

                HVX_Vector m_scaled = hvx_vec_mul_f16_f16(m_vals_f16, slope_vec);
                scores_f16 = Q6_V_vmux_QVV(q_tail_keep, hvx_vec_add_f16_f16(scores_f16, m_scaled), v_neg_inf);
            } else {
                scores_f16 = Q6_V_vmux_QVV(q_tail_keep, scores_f16, v_neg_inf);
            }

            // Compute block max in FP16
            HVX_Vector v_max_f16 = hvx_vec_reduce_max_f16(scores_f16);
            HVX_Vector v_max     = Q6_V_lo_W(hvx_vec_f16_to_f32(v_max_f16)); // splat block max in FP32
            htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_FA_QK, ir);

            htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_FA_SFM, ir);
            {
                const HVX_Vector v_log2e = hvx_vec_splat_f16(EXP_LOG2E_F);

                // 4. Online Softmax Update
                HVX_Vector M_new_vec = Q6_Vsf_vmax_VsfVsf(v_max, M_vec);
                HVX_Vector diff_vec  = HVX_OP_SUB_F32(M_vec, M_new_vec);

                HVX_Vector diff_f16   = hvx_vec_f32_to_f16(diff_vec, diff_vec);
                HVX_Vector diff_base2 = hvx_vec_mul_f16_f16(diff_f16, v_log2e);
                HVX_Vector ms_f16     = hvx_vec_exp2_f16(diff_base2);
                HVX_Vector ms_vec     = Q6_V_lo_W(hvx_vec_f16_to_f32(ms_f16));

                M_vec = M_new_vec;

                hvx_scale_vec_f32_aa((uint8_t *) VKQ32, (const uint8_t *) VKQ32, DV, ms_vec);

                // Compute P = exp2((S - M) * log2(e)) in FP16
                HVX_Vector v_m_vec_f16 = hvx_vec_f32_to_f16(M_vec, M_vec);
                HVX_Vector v_s_minus_m = Q6_Vqf16_vsub_VhfVhf(scores_f16, v_m_vec_f16);

                HVX_Vector v_s_minus_m_base2 = hvx_vec_mul_f16_f16(Q6_Vhf_equals_Vqf16(v_s_minus_m), v_log2e);

                HVX_Vector P = hvx_vec_exp2_f16(v_s_minus_m_base2);
                P = Q6_V_vmux_QVV(q_tail_keep, P, Q6_V_vzero());

                // Convert P to FP32 to update the running sum S_vec
                HVX_VectorPair P_pair = hvx_vec_f16_to_f32(P);
                HVX_Vector P0 = Q6_V_lo_W(P_pair);
                HVX_Vector P1 = Q6_V_hi_W(P_pair);
                HVX_Vector p_sum_vec = hvx_vec_reduce_sum_f32(HVX_OP_ADD_F32(P0, P1));

                S_vec = HVX_OP_ADD_F32(HVX_OP_MUL_F32(S_vec, ms_vec), p_sum_vec);

                // 5. Accumulate V (F16 * F16 -> F32 accumulator)
                __fp16 __attribute__((aligned(128))) p_arr[VLEN_FP16];
                hvx_vec_store_a(p_arr, 128, P);

                for (uint32_t j = 0; j < current_block_size; j += 2) {
                    if (j + 1 == current_block_size) {
                        if (p_arr[j] != 0.0f) {
                            const uint8_t * v_ptr = v_base + j * factx->size_v_row_padded;
                            hvx_mad_f32_f16_aa(VKQ32, v_ptr, (p_arr + j), DV);
                        }
                        break;
                    }

                    if (p_arr[j] == 0.0f && p_arr[j + 1] == 0.0f) {
                        continue;
                    }

                    const uint8_t * v_ptr = v_base + j * factx->size_v_row_padded;
                    hvx_mad_f32_f16_aa_rx2(VKQ32, v_ptr, v_ptr + factx->size_v_row_padded, (p_arr + j), (p_arr + j + 1), DV);
                }
            }
            htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_FA_SFM, ir);

            // Issue DMA for next+1 block (if exists)
            if (ib + 2 < factx->n_blocks) {
                const uint32_t next_ib = ib + 2;
                const uint32_t next_ic_start = next_ib * FLASH_ATTN_BLOCK_SIZE;
                const uint32_t next_block_size = MIN(FLASH_ATTN_BLOCK_SIZE, nek1 - next_ic_start);

                // K
                const uint8_t * k_src = (const uint8_t *) k->data + (next_ic_start*nbk1 + ik2*nbk2 + ik3*nbk3);
                dma_queue_push(dma, dma_make_ptr(k_base, k_src), factx->size_k_row_padded, nbk1, size_k_row, next_block_size);

                // V
                const uint8_t * v_src = (const uint8_t *) v->data + (next_ic_start*nbv1 + iv2*nbv2 + iv3*nbv3);
                dma_queue_push(dma, dma_make_ptr(v_base, v_src), factx->size_v_row_padded, nbv1, size_v_row, next_block_size);

                // Mask
                if (mask) {
                    const uint8_t * m_src = (const uint8_t *) (mp_base + next_ic_start);
                    dma_cache_push(dma, &m_cache, m_src, next_block_size * 2, next_block_size * 2, next_block_size * 2, 1);
                }
            }
        }

        htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_O_PROC, ir);
        // sinks
        float M = hvx_vec_get_f32(M_vec);
        float S = hvx_vec_get_f32(S_vec);

        if (sinks) {
            const float s = ((float *)((char *) sinks->data))[h];

            float vs = 1.0f;

            if (s > M) {
                HVX_Vector diff_vec = hvx_vec_splat_f32(M - s);
                HVX_Vector ms_vec   = hvx_vec_exp_f32(diff_vec);
                hvx_scale_vec_f32_aa((uint8_t *) VKQ32, (const uint8_t *) VKQ32, DV, ms_vec);

                float ms = hvx_vec_get_f32(ms_vec);
                S = S * ms + vs;
            } else {
                HVX_Vector diff_vec = hvx_vec_splat_f32(s - M);
                vs = hvx_vec_get_f32(hvx_vec_exp_f32(diff_vec));
                S += vs;
            }
        }

        const float S_inv = S == 0.0f ? 0.0f : 1.0f/S;
        hvx_scale_f32_aa((uint8_t *) VKQ32, (const uint8_t *) VKQ32, DV, S_inv);

        // Store result
        // dst indices
        const uint32_t i1 = iq1;
        const uint32_t i2 = iq2;
        const uint32_t i3 = iq3;

        // dst is permuted: [DV, n_heads, n_tokens, n_seq]
        // head stride is nb[1], token stride is nb[2], batch stride is nb[3]
        uint8_t * dst_ptr = (uint8_t *) dst->data + i2 * dst->nb[1] + i1 * dst->nb[2] + i3 * dst->nb[3];

        if (dst->type == HTP_TYPE_F32) {
            hvx_copy_f32_ua(dst_ptr, (uint8_t *) VKQ32, DV);
        } else if (dst->type == HTP_TYPE_F16) {
            hvx_copy_f16_f32_ua(dst_ptr, (uint8_t *) VKQ32, DV);
        }
        htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_O_PROC, ir);
    }
}

// ============================================================================
// HMX Phase args and thread logic
// ============================================================================

typedef struct {
    struct hmx_fa_context * factx;
    uint32_t                kv_rows;
    size_t                  src_stride;
    size_t                  buf_idx;
    uint32_t                kv_start;
    uint32_t                rows_per_t;
} fa_k_int_args_t;

static void fa_k_interleave_thread(unsigned int n, unsigned int i, void * data) {
    fa_k_int_args_t *       args  = (fa_k_int_args_t *) data;
    struct hmx_fa_context * factx = args->factx;

    const uint32_t total_rows = args->kv_rows;
    const uint32_t rows_per_t = args->rows_per_t;
    const uint32_t start      = i * rows_per_t;
    const uint32_t end        = (uint32_t) hex_smin(start + rows_per_t, total_rows);

    if (start >= total_rows) {
        return;
    }

    struct htp_thread_trace * tr = factx->octx->ctx ? &factx->octx->ctx->trace[i] : NULL;
    htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_FA_K_PREP, (uint16_t) (args->kv_start + start));
    hmx_interleave_rows_to_tiles(factx->vtcm_k_tiles, factx->vtcm_k_fp16[args->buf_idx], total_rows, factx->DK,
                             args->src_stride, start, end);
    htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_FA_K_PREP, (uint16_t) (args->kv_start + start));
}

static void fa_phase_k_interleave(struct hmx_fa_context * factx, uint32_t kv_rows, size_t src_stride, size_t buf_idx, uint32_t kv_start) {
    worker_pool_context_t wp = factx->octx->ctx->worker_pool;
    uint32_t n = 1;
    if (factx->n_threads > 1 && kv_rows >= factx->n_threads * 2) {
        n = factx->n_threads;
    }
    uint32_t rows_per_t = hex_align_up(hmx_ceil_div(kv_rows, n), 2);
    fa_k_int_args_t args = { factx, kv_rows, src_stride, buf_idx, kv_start, rows_per_t };
    if (n > 1) {
        worker_pool_run_func(wp, fa_k_interleave_thread, &args, n);
    } else {
        fa_k_interleave_thread(1, 0, &args);
    }
}

typedef struct {
    struct hmx_fa_context * factx;
    uint32_t                kv_rows;
    size_t                  src_stride;
    size_t                  buf_idx;
    size_t                  n_col_tiles;
    uint32_t                kv_start;
    uint32_t                rows_per_t;
} fa_v_int_args_t;

static void fa_v_interleave_thread(unsigned int n, unsigned int i, void * data) {
    fa_v_int_args_t *       args  = (fa_v_int_args_t *) data;
    struct hmx_fa_context * factx = args->factx;

    const uint32_t total_rows = args->kv_rows;
    const uint32_t rows_per_t = args->rows_per_t;
    const uint32_t start      = i * rows_per_t;
    const uint32_t end        = (uint32_t) hex_smin(start + rows_per_t, total_rows);

    if (start >= total_rows) {
        return;
    }

    __fp16 * v_tiles_dest = factx->pipeline ? factx->vtcm_v_tiles[args->buf_idx] : factx->vtcm_v_tiles[0];

    struct htp_thread_trace * tr = factx->octx->ctx ? &factx->octx->ctx->trace[i] : NULL;
    htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_FA_V_PREP, (uint16_t) (args->kv_start + start));
    hmx_interleave_cols_to_tiles(v_tiles_dest, factx->vtcm_v_fp16[args->buf_idx], total_rows, factx->DV,
                             args->src_stride, (uint32_t) args->n_col_tiles, start, end);
    htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_FA_V_PREP, (uint16_t) (args->kv_start + start));
}

static void fa_phase_v_interleave(struct hmx_fa_context * factx,
                                  uint32_t                kv_rows,
                                  size_t                  src_stride,
                                  size_t                  buf_idx,
                                  size_t                  n_col_tiles,
                                  uint32_t                kv_start) {
    worker_pool_context_t wp = factx->octx->ctx->worker_pool;
    uint32_t n = 1;
    if (factx->n_threads > 1 && kv_rows >= factx->n_threads * 2) {
        n = factx->n_threads;
    }
    uint32_t rows_per_t = hex_align_up(hmx_ceil_div(kv_rows, n), 2);
    fa_v_int_args_t args = { factx, kv_rows, src_stride, buf_idx, n_col_tiles, kv_start, rows_per_t };
    if (n > 1) {
        worker_pool_run_func(wp, fa_v_interleave_thread, &args, n);
    } else {
        fa_v_interleave_thread(1, 0, &args);
    }
}

typedef struct {
    struct hmx_fa_context *   factx;
    const struct htp_tensor * q;
    uint32_t                  q_start;
    uint32_t                  kv_head;
    uint32_t                  ib3;
    size_t                    n_rows_g;
    size_t                    rows_per_t;
} fa_q_load_args_t;

static void fa_q_load_thread(unsigned int n, unsigned int i, void * data) {
    fa_q_load_args_t *      args  = (fa_q_load_args_t *) data;
    struct hmx_fa_context * factx = args->factx;

    const size_t n_rows_g = args->n_rows_g;
    const size_t G        = factx->G;
    const size_t DK       = factx->DK;

    // Partition the padded Q rows (g_br) across threads.
    // Keep start/end even so r and r+1 are always in the same thread's range.
    const size_t rows_per_t = args->rows_per_t;
    const size_t start      = (size_t) i * rows_per_t;
    const size_t end        = hex_smin(start + rows_per_t, factx->g_br);

    struct htp_thread_trace * tr = factx->octx->ctx ? &factx->octx->ctx->trace[i] : NULL;
    htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_FA_Q_PREP, (uint16_t) (args->q_start * G + start));

    // Parallel initialization of per-block state
    {
        const uint32_t g_br = factx->g_br;
        const uint32_t DV   = factx->DV;

        const size_t col_vec_bytes = hex_align_up(g_br * sizeof(float), 256);
        const size_t d_tile_bytes  = hex_align_up(g_br * g_br * sizeof(__fp16), 4096);
        const size_t o_tile_bytes  = hex_align_up(g_br * DV * sizeof(__fp16), 4096);

        // Initialize vtcm_l_vec & vtcm_m_vec
        const size_t l_bytes_per_t = hex_align_up(col_vec_bytes / n, 128);
        const size_t l_start       = i * l_bytes_per_t;
        const size_t l_end         = hex_smin(l_start + l_bytes_per_t, col_vec_bytes);

        const size_t m_bytes_per_t = hex_align_up(col_vec_bytes / n, 128);
        const size_t m_start       = i * m_bytes_per_t;
        const size_t m_end         = hex_smin(m_start + m_bytes_per_t, col_vec_bytes);

        if (factx->sinks) {
            const float * sinks_data = (const float *) (uintptr_t) factx->sinks->data;
            float *       m_vec      = (float *) factx->vtcm_m_vec;
            const size_t  r_start    = l_start / sizeof(float);
            const size_t  r_end      = l_end / sizeof(float);
            const float   scale_factor = EXP_LOG2E_F;

            const HVX_Vector v_scale = hvx_vec_splat_f32(scale_factor);

            for (size_t r = r_start; r < r_end; r += 32) {
                HVX_VectorAlias local_m;
                for (size_t j = 0; j < 32; ++j) {
                    size_t curr_r = r + j;
                    if (curr_r < n_rows_g) {
                        const size_t h_idx = fastmodulo(curr_r, G, &factx->div_G);
                        const size_t head  = args->kv_head * G + h_idx;
                        local_m.fp32[j] = sinks_data[head];
                    } else {
                        local_m.fp32[j] = HTP_FA_M_INITIAL_VAL;
                    }
                }
                HVX_Vector v_scaled = HVX_OP_MUL_F32(local_m.v, v_scale);
                *(HVX_Vector *) (m_vec + r) = v_scaled;
            }
            if (l_start < col_vec_bytes) {
                hvx_splat_u8_a((char *) factx->vtcm_l_vec + l_start, 0, l_end - l_start);
            }
        } else {
            if (l_start < col_vec_bytes) {
                hvx_splat_u8_a((char *) factx->vtcm_l_vec + l_start, 0, l_end - l_start);
            }
            if (m_start < col_vec_bytes) {
                hvx_splat_f32_a((char *) factx->vtcm_m_vec + m_start, HTP_FA_M_INITIAL_VAL, (m_end - m_start) / sizeof(float));
            }
        }

        // Initialize vtcm_d_tiles to 0
        const size_t d_bytes_per_t = hex_align_up(d_tile_bytes / n, 128);
        const size_t d_start       = i * d_bytes_per_t;
        const size_t d_end         = hex_smin(d_start + d_bytes_per_t, d_tile_bytes);
        if (d_start < d_tile_bytes) {
            hvx_splat_u8_a((char *) factx->vtcm_d_tiles + d_start, 0, d_end - d_start);
        }

        // Initialize vtcm_o_tiles[0] to 0
        __fp16 * o_tile_prev       = factx->vtcm_o_tiles[0];
        const size_t o_bytes_per_t = hex_align_up(o_tile_bytes / n, 128);
        const size_t o_start       = i * o_bytes_per_t;
        const size_t o_end         = hex_smin(o_start + o_bytes_per_t, o_tile_bytes);
        if (o_start < o_tile_bytes) {
            hvx_splat_u8_a((char *) o_tile_prev + o_start, 0, o_end - o_start);
        }
    }

    if (start >= factx->g_br) {
        htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_FA_Q_PREP, (uint16_t) (args->q_start * G + start));
        return;
    }

    const struct htp_tensor * q       = args->q;
    const uint32_t            q_start = args->q_start;
    const uint32_t            kv_head = args->kv_head;
    const uint32_t            ib3     = args->ib3;

    for (size_t r = start; r < end; r += 2) {
        const size_t q_idx0 = fastdiv(r + 0, &factx->div_G);
        const size_t h_idx0 = fastmodulo(r + 0, G, &factx->div_G);
        const size_t q_idx1 = fastdiv(r + 1, &factx->div_G);
        const size_t h_idx1 = fastmodulo(r + 1, G, &factx->div_G);

        const uint8_t * q_ptr0 = (r + 0 < n_rows_g) ? ((const uint8_t *) q->data + (q_start + q_idx0) * q->nb[1] +
                                                      (kv_head * G + h_idx0) * q->nb[2] + ib3 * q->nb[3]) :
                                                      NULL;
        const uint8_t * q_ptr1 = (r + 1 < n_rows_g) ? ((const uint8_t *) q->data + (q_start + q_idx1) * q->nb[1] +
                                                      (kv_head * G + h_idx1) * q->nb[2] + ib3 * q->nb[3]) :
                                                      NULL;

        size_t   r0       = r / HMX_FP16_TILE_N_ROWS;
        size_t   r1       = r % HMX_FP16_TILE_N_ROWS;
        __fp16 * out_base = factx->vtcm_q_tiles + r0 * HMX_FP16_TILE_N_ROWS * DK;

        if (factx->is_q_fp32) {
            const HVX_Vector * pv_in0 = q_ptr0 ? (const HVX_Vector *) q_ptr0 : NULL;
            const HVX_Vector * pv_in1 = q_ptr1 ? (const HVX_Vector *) q_ptr1 : NULL;

            for (uint32_t d = 0; d < DK / 32; ++d) {
                HVX_Vector v0   = pv_in0 ? pv_in0[d] : Q6_V_vzero();
                HVX_Vector v1   = pv_in1 ? pv_in1[d] : Q6_V_vzero();
                HVX_Vector v_hf = hvx_vec_f32_to_f16_shuff(v0, v1);

                HVX_Vector * out_tile = (HVX_Vector *) (out_base + d * HMX_FP16_TILE_N_ELMS);
                out_tile[r1 / 2]      = v_hf;
            }
        } else {
            const HVX_Vector * pv_in0 = q_ptr0 ? (const HVX_Vector *) q_ptr0 : NULL;
            const HVX_Vector * pv_in1 = q_ptr1 ? (const HVX_Vector *) q_ptr1 : NULL;

            for (uint32_t d = 0; d < DK / 64; ++d) {
                HVX_Vector     v0 = pv_in0 ? pv_in0[d] : Q6_V_vzero();
                HVX_Vector     v1 = pv_in1 ? pv_in1[d] : Q6_V_vzero();
                HVX_VectorPair vp = Q6_W_vshuff_VVR(v1, v0, -2);

                __fp16 *     out_dual_tile = out_base + d * HMX_FP16_TILE_N_ELMS * 2;
                HVX_Vector * pv_out0       = ((HVX_Vector *) out_dual_tile) + r1 / 2;
                HVX_Vector * pv_out1       = pv_out0 + 16;

                *pv_out0 = Q6_V_lo_W(vp);
                *pv_out1 = Q6_V_hi_W(vp);
            }
        }
    }
    htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_FA_Q_PREP, (uint16_t) (args->q_start * G + start));
}

static void fa_phase_q_load(struct hmx_fa_context *   factx,
                            const struct htp_tensor * q,
                            uint32_t                  q_start,
                            uint32_t                  kv_head,
                            uint32_t                  ib3,
                            size_t                    n_rows_g) {
    worker_pool_context_t wp = factx->octx->ctx->worker_pool;
    uint32_t n = 1;
    if (factx->n_threads > 1 && n_rows_g >= (size_t) (factx->n_threads * 2)) {
        n = factx->n_threads;
    }
    size_t rows_per_t = hex_align_up(hmx_ceil_div(factx->g_br, n), 2);
    fa_q_load_args_t args = { factx, q, q_start, kv_head, ib3, n_rows_g, rows_per_t };
    if (n > 1) {
        worker_pool_run_func(wp, fa_q_load_thread, &args, n);
    } else {
        fa_q_load_thread(1, 0, &args);
    }
}

typedef struct {
    struct hmx_fa_context *   factx;
    const struct htp_tensor * dst;
    const __fp16 *            o_tile_src;
    uint32_t                  q_start;
    uint32_t                  kv_head;
    uint32_t                  ib3;
    size_t                    n_rows_g;
    size_t                    rows_per_t;
} fa_o_store_args_t;

static void fa_o_store_thread_f32(unsigned int n, unsigned int i, void * data) {
    fa_o_store_args_t *     args  = (fa_o_store_args_t *) data;
    struct hmx_fa_context * factx = args->factx;

    const size_t n_rows_g = args->n_rows_g;
    const size_t G        = factx->G;
    const size_t DV       = factx->DV;

    const size_t rows_per_t = args->rows_per_t;
    const size_t start      = (size_t) i * rows_per_t;
    const size_t end        = hex_smin(start + rows_per_t, n_rows_g);

    if (start >= n_rows_g) {
        return;
    }

    struct htp_thread_trace * tr = factx->octx->ctx ? &factx->octx->ctx->trace[i] : NULL;
    htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_O_PROC, (uint16_t) (args->q_start * G + start));

    const struct htp_tensor * dst        = args->dst;
    const __fp16 *            o_tile_src = args->o_tile_src;
    const uint32_t            q_start    = args->q_start;
    const uint32_t            kv_head    = args->kv_head;
    const uint32_t            ib3        = args->ib3;

    for (size_t r = start; r < end; ++r) {
        const size_t q_idx = fastdiv(r, &factx->div_G);
        const size_t h_idx = fastmodulo(r, G, &factx->div_G);

        float * out = (float *) ((uint8_t *) dst->data + (kv_head * G + h_idx) * dst->nb[1] +
                                 (q_start + q_idx) * dst->nb[2] + ib3 * dst->nb[3]);

        size_t         r0            = r / HMX_FP16_TILE_N_ROWS;
        size_t         r1            = r % HMX_FP16_TILE_N_ROWS;
        const __fp16 * tile_row_base = o_tile_src + r0 * HMX_FP16_TILE_N_ROWS * DV;

        for (uint32_t d = 0; d < DV / 32; ++d) {
            const HVX_Vector * in_tile = (const HVX_Vector *) (tile_row_base + d * HMX_FP16_TILE_N_ELMS);
            HVX_VectorPair     vp      = hvx_vec_f16_to_f32_shuff(in_tile[r1 / 2]);
            if (r1 % 2 == 0) {
                *(HVX_UVector *) (out + d * 32) = Q6_V_lo_W(vp);
            } else {
                *(HVX_UVector *) (out + d * 32) = Q6_V_hi_W(vp);
            }
        }
    }
    htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_O_PROC, (uint16_t) (args->q_start * G + start));
}

static void fa_o_store_thread_f16(unsigned int n, unsigned int i, void * data) {
    fa_o_store_args_t *     args  = (fa_o_store_args_t *) data;
    struct hmx_fa_context * factx = args->factx;

    const size_t n_rows_g = args->n_rows_g;
    const size_t G        = factx->G;
    const size_t DV       = factx->DV;

    const size_t rows_per_t = args->rows_per_t;
    const size_t start      = (size_t) i * rows_per_t;
    const size_t end        = hex_smin(start + rows_per_t, n_rows_g);

    if (start >= n_rows_g) {
        return;
    }

    struct htp_thread_trace * tr = factx->octx->ctx ? &factx->octx->ctx->trace[i] : NULL;
    htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_O_PROC, (uint16_t) (args->q_start * G + start));

    const struct htp_tensor * dst        = args->dst;
    const __fp16 *            o_tile_src = args->o_tile_src;
    const uint32_t            q_start    = args->q_start;
    const uint32_t            kv_head    = args->kv_head;
    const uint32_t            ib3        = args->ib3;

    for (size_t r = start; r < end; ++r) {
        const size_t q_idx = fastdiv(r, &factx->div_G);
        const size_t h_idx = fastmodulo(r, G, &factx->div_G);

        __fp16 * out = (__fp16 *) ((uint8_t *) dst->data + (kv_head * G + h_idx) * dst->nb[1] +
                                   (q_start + q_idx) * dst->nb[2] + ib3 * dst->nb[3]);

        size_t         r0            = r / HMX_FP16_TILE_N_ROWS;
        size_t         r1            = r % HMX_FP16_TILE_N_ROWS;
        const __fp16 * tile_row_base = o_tile_src + r0 * HMX_FP16_TILE_N_ROWS * DV;

        for (uint32_t d = 0; d < DV / 64; ++d) {
            const __fp16 *     in_dual_tile = tile_row_base + d * HMX_FP16_TILE_N_ELMS * 2;
            const HVX_Vector * pv_in0       = ((const HVX_Vector *) in_dual_tile) + r1 / 2;
            const HVX_Vector * pv_in1       = pv_in0 + 16;
            HVX_VectorPair     vp           = Q6_W_vdeal_VVR(*pv_in1, *pv_in0, -2);
            if (r1 % 2 == 0) {
                *(HVX_UVector *) (out + d * 64) = Q6_V_lo_W(vp);
            } else {
                *(HVX_UVector *) (out + d * 64) = Q6_V_hi_W(vp);
            }
        }
    }
    htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_O_PROC, (uint16_t) (args->q_start * G + start));
}

static void fa_phase_o_store(struct hmx_fa_context *   factx,
                             const struct htp_tensor * dst,
                             const __fp16 *            o_tile_src,
                             uint32_t                  q_start,
                             uint32_t                  kv_head,
                             uint32_t                  ib3,
                             size_t                    n_rows_g) {
    worker_pool_context_t wp = factx->octx->ctx->worker_pool;
    uint32_t n = 1;
    if (factx->n_threads > 1 && n_rows_g >= (size_t) (factx->n_threads * 2)) {
        n = factx->n_threads;
    }
    size_t rows_per_t = hmx_ceil_div(n_rows_g, n);
    fa_o_store_args_t args = { factx, dst, o_tile_src, q_start, kv_head, ib3, n_rows_g, rows_per_t };
    worker_callback_t store_fn = factx->is_dst_fp32 ? fa_o_store_thread_f32 : fa_o_store_thread_f16;
    if (n > 1) {
        worker_pool_run_func(wp, store_fn, &args, n);
    } else {
        store_fn(1, 0, &args);
    }
}

typedef struct {
    struct hmx_fa_context *   factx;
    size_t                    kv_rows;
    size_t                    n_rows_g;
    size_t                    n_col_tiles;
    size_t                    n_tiles_per_bc;
    size_t                    n_row_tiles;
    size_t                    n_row_tiles_g_br;
    uint32_t                  Bc;
    uint32_t                  G;
    uint32_t                  kv_head;
    uint32_t                  kv_start;
    uint32_t                  q_start;
    uint32_t                  ib3;
    bool                      has_alibi;  // true when max_bias != 0 (need slope * mask + add)
    __fp16 *                  slopes;
    const struct htp_tensor * mask;
    const __fp16 *            mask_vtcm;             // VTCM mask buffer base (NULL = DDR fallback)
    size_t                    mask_vtcm_row_stride;  // elements (__fp16) per row in VTCM mask buffer
    struct fastdiv_values     thread_div;
} fa_softmax_args_t;

static inline void fa_softmax_impl(
    unsigned int n, unsigned int i, void * data,
    const bool has_mask,
    const bool mask_broadcast,
    const bool is_g1,
    const bool has_alibi,
    const bool has_softcap
) {
    fa_softmax_args_t *     args  = (fa_softmax_args_t *) data;
    struct hmx_fa_context * factx = args->factx;

    const size_t n_rows_g       = args->n_rows_g;
    const size_t kv_rows        = args->kv_rows;
    const size_t Bc             = args->Bc;
    const size_t G              = args->G;
    const size_t n_tiles_per_bc = args->n_tiles_per_bc;
    const size_t n_row_vec_cnt  = hmx_ceil_div(n_rows_g, 64);
    const uint32_t im3          = has_mask ? fastmodulo(args->ib3, args->mask->ne[3], &factx->src3_div3) : 0;

    size_t vec_start = 0;
    size_t vec_end   = n_row_vec_cnt;
    if (n > 1) {
        const size_t vecs_per_t = fastdiv(n_row_vec_cnt + n - 1, &args->thread_div);
        vec_start = i * vecs_per_t;
        vec_end   = hex_smin(vec_start + vecs_per_t, n_row_vec_cnt);
    }

    if (vec_start >= n_row_vec_cnt) {
        return;
    }

    struct htp_thread_trace * tr = factx->octx->ctx ? &factx->octx->ctx->trace[i] : NULL;
    htp_trace_event_start(tr, HTP_TRACE_EVT_HVX_FA_SFM, (uint16_t) (args->q_start * G + vec_start * 64));

    // Per-thread row scratch: thread i uses bufs at offset i * 2 * stride
    const size_t row_buf_stride = factx->row_buf_stride;
    HVX_Vector * my_row_buf0    = factx->vtcm_row_bufs + i * 2 * row_buf_stride;
    HVX_Vector * my_row_buf1    = my_row_buf0 + row_buf_stride;

    const HVX_Vector v_neg_inf = Q6_Vh_vsplat_R(0xfbff);

    for (size_t r_vec_idx = vec_start; r_vec_idx < vec_end; ++r_vec_idx) {
        HVX_Vector rowmax_acc_v = v_neg_inf;
        HVX_Vector rowsum_acc_v = Q6_V_vzero();
        HVX_Vector m_prev_v0    = factx->vtcm_m_vec[r_vec_idx * 2 + 0];
        HVX_Vector m_prev_v1    = factx->vtcm_m_vec[r_vec_idx * 2 + 1];

        HVX_Vector v_slopes = Q6_V_vzero();
        if (has_alibi) {
            v_slopes = hvx_vmem(args->slopes + r_vec_idx * 64);
        }

        for (uint32_t r_vec_off = 0; r_vec_off < 64; r_vec_off += 2) {
            uint32_t r = r_vec_idx * 64 + r_vec_off;
            if (r >= hex_align_up(n_rows_g, 2)) {
                break;
            }

            uint32_t r0 = r / HMX_FP16_TILE_N_ROWS;
            uint32_t r1 = r % HMX_FP16_TILE_N_ROWS;

            const __fp16 * s_ld_base = factx->vtcm_s_tiles + r0 * HMX_FP16_TILE_N_ROWS * Bc;
            __fp16 *       p_st_base = factx->vtcm_p_tiles + r0 * HMX_FP16_TILE_N_ROWS * Bc;

            // Decode 2 rows from S tiles into per-thread row buffers
            if (has_softcap) {
                const HVX_Vector v_cap = hvx_vec_splat_f16(factx->logit_softcap);
                for (size_t c = 0; c < kv_rows; c += 64) {
                    size_t             ci           = c / 64;
                    const __fp16 *     in_dual_tile = s_ld_base + ci * HMX_FP16_TILE_N_ELMS * 2;
                    const HVX_Vector * pv_s_in0     = ((const HVX_Vector *) in_dual_tile) + r1 / 2;
                    const HVX_Vector * pv_s_in1     = pv_s_in0 + 16;

                    HVX_VectorPair vp_s_dual_row = Q6_W_vdeal_VVR(*pv_s_in1, *pv_s_in0, -2);
                    HVX_Vector     v_s_row0      = Q6_V_lo_W(vp_s_dual_row);
                    HVX_Vector     v_s_row1      = Q6_V_hi_W(vp_s_dual_row);

                    HVX_Vector t0   = hvx_vec_tanh_f16(v_s_row0);
                    my_row_buf0[ci] = hvx_vec_mul_f16_f16(t0, v_cap);

                    HVX_Vector t1   = hvx_vec_tanh_f16(v_s_row1);
                    my_row_buf1[ci] = hvx_vec_mul_f16_f16(t1, v_cap);
                }
            } else {
                for (size_t c = 0; c < kv_rows; c += 64) {
                    size_t             ci           = c / 64;
                    const __fp16 *     in_dual_tile = s_ld_base + ci * HMX_FP16_TILE_N_ELMS * 2;
                    const HVX_Vector * pv_s_in0     = ((const HVX_Vector *) in_dual_tile) + r1 / 2;
                    const HVX_Vector * pv_s_in1     = pv_s_in0 + 16;

                    HVX_VectorPair vp_s_dual_row = Q6_W_vdeal_VVR(*pv_s_in1, *pv_s_in0, -2);
                    my_row_buf0[ci]              = Q6_V_lo_W(vp_s_dual_row);
                    my_row_buf1[ci]              = Q6_V_hi_W(vp_s_dual_row);
                }
            }

            // Apply mask & compute rowmax(S)
            HVX_Vector v_slope0 = Q6_V_vzero();
            HVX_Vector v_slope1 = Q6_V_vzero();
            if (has_alibi) {
                v_slope0 = hvx_vec_repl_f16(Q6_V_vror_VR(v_slopes, r_vec_off * 2));
                v_slope1 = (r + 1 < n_rows_g) ? hvx_vec_repl_f16(Q6_V_vror_VR(v_slopes, (r_vec_off + 1) * 2)) : Q6_V_vzero();
            }

            const HVX_Vector v_threshold = Q6_Vh_vsplat_R(0xcc00);  // fp16 -16.0

            HVX_Vector v_s_rowmax0 = v_neg_inf;
            HVX_Vector v_s_rowmax1 = v_neg_inf;
            for (size_t c = 0; c < kv_rows; c += 64) {
                size_t         ci          = c / 64;
                const size_t   ne          = hex_smin(kv_rows - c, 64);
                HVX_VectorPred q_tail_keep = Q6_Q_vsetq2_R(ne * sizeof(__fp16));

                if (has_mask) {
                    HVX_Vector v_mask0, v_mask1;

                    if (mask_broadcast) {
                        if (is_g1) {
                            const size_t qi0 = r + 0;
                            v_mask0 = *(const HVX_Vector *) (args->mask_vtcm + qi0 * args->mask_vtcm_row_stride + c);
                            v_mask1 = v_neg_inf;
                            if (r + 1 < n_rows_g) {
                                const size_t qi1 = r + 1;
                                v_mask1 = *(const HVX_Vector *) (args->mask_vtcm + qi1 * args->mask_vtcm_row_stride + c);
                            }
                        } else {
                            const size_t qi0 = fastdiv(r + 0, &factx->div_G);
                            v_mask0 = *(const HVX_Vector *) (args->mask_vtcm + qi0 * args->mask_vtcm_row_stride + c);
                            v_mask1 = v_neg_inf;
                            if (r + 1 < n_rows_g) {
                                const size_t qi1 = fastdiv(r + 1, &factx->div_G);
                                if (qi1 == qi0) {
                                    v_mask1 = v_mask0;
                                } else {
                                    v_mask1 = *(const HVX_Vector *) (args->mask_vtcm + qi1 * args->mask_vtcm_row_stride + c);
                                }
                            }
                        }
                    } else {
                        // Head-dependent mask: pre-interleaved per row r.
                        const size_t r0 = r + 0;
                        v_mask0 = *(const HVX_Vector *) (args->mask_vtcm + r0 * args->mask_vtcm_row_stride + c);
                        v_mask1 = v_neg_inf;
                        if (r + 1 < n_rows_g) {
                            const size_t r1 = r + 1;
                            v_mask1 = *(const HVX_Vector *) (args->mask_vtcm + r1 * args->mask_vtcm_row_stride + c);
                        }
                    }

                    // Threshold: mask values below -16.0 are treated as -inf (causal mask).
                    HVX_VectorPred q_keep0 = Q6_Q_and_QQ(Q6_Q_vcmp_gt_VhfVhf(v_mask0, v_threshold), q_tail_keep);
                    HVX_VectorPred q_keep1 = Q6_Q_and_QQ(Q6_Q_vcmp_gt_VhfVhf(v_mask1, v_threshold), q_tail_keep);

                    // Scale mask values by log2(e) for base-2 calculations
                    const HVX_Vector v_log2e = hvx_vec_splat_f16(EXP_LOG2E_F);
                    HVX_Vector v_mask0_scaled = hvx_vec_mul_f16_f16(v_mask0, v_log2e);
                    HVX_Vector v_mask1_scaled = hvx_vec_mul_f16_f16(v_mask1, v_log2e);

                    if (has_alibi) {
                        HVX_Vector v_sm0 = hvx_vec_mul_f16_f16(v_mask0_scaled, v_slope0);
                        HVX_Vector v_sm1 = hvx_vec_mul_f16_f16(v_mask1_scaled, v_slope1);
                        my_row_buf0[ci]  = Q6_V_vmux_QVV(q_keep0, hvx_vec_add_f16_f16(my_row_buf0[ci], v_sm0), v_neg_inf);
                        my_row_buf1[ci]  = Q6_V_vmux_QVV(q_keep1, hvx_vec_add_f16_f16(my_row_buf1[ci], v_sm1), v_neg_inf);
                    } else {
                        my_row_buf0[ci] = Q6_V_vmux_QVV(q_keep0, hvx_vec_add_f16_f16(my_row_buf0[ci], v_mask0_scaled), v_neg_inf);
                        my_row_buf1[ci] = Q6_V_vmux_QVV(q_keep1, hvx_vec_add_f16_f16(my_row_buf1[ci], v_mask1_scaled), v_neg_inf);
                    }
                } else {
                    if (ne < 64) {
                        my_row_buf0[ci] = Q6_V_vmux_QVV(q_tail_keep, my_row_buf0[ci], v_neg_inf);
                        my_row_buf1[ci] = Q6_V_vmux_QVV(q_tail_keep, my_row_buf1[ci], v_neg_inf);
                    }
                }

                v_s_rowmax0 = Q6_Vhf_vmax_VhfVhf(v_s_rowmax0, my_row_buf0[ci]);
                v_s_rowmax1 = Q6_Vhf_vmax_VhfVhf(v_s_rowmax1, my_row_buf1[ci]);
            }

            v_s_rowmax0 = hvx_vec_reduce_max_f16(v_s_rowmax0);
            v_s_rowmax1 = hvx_vec_reduce_max_f16(v_s_rowmax1);

            // Splat m_prev[r], m_prev[r+1] from the float per-row accumulators and convert to fp16 vectors
            HVX_Vector v_m_prev0, v_m_prev1;
            if (r_vec_off < 32) {
                HVX_Vector v0 = hvx_vec_repl_f32(Q6_V_vror_VR(m_prev_v0, r_vec_off * 4));
                v_m_prev0 = hvx_vec_f32_to_f16(v0, v0);
                if (r + 1 < n_rows_g) {
                    HVX_Vector v1 = hvx_vec_repl_f32(Q6_V_vror_VR(m_prev_v0, (r_vec_off + 1) * 4));
                    v_m_prev1 = hvx_vec_f32_to_f16(v1, v1);
                } else {
                    v_m_prev1 = Q6_V_vzero();
                }
            } else {
                HVX_Vector v0 = hvx_vec_repl_f32(Q6_V_vror_VR(m_prev_v1, (r_vec_off - 32) * 4));
                v_m_prev0 = hvx_vec_f32_to_f16(v0, v0);
                if (r + 1 < n_rows_g) {
                    HVX_Vector v1 = hvx_vec_repl_f32(Q6_V_vror_VR(m_prev_v1, (r_vec_off + 1 - 32) * 4));
                    v_m_prev1 = hvx_vec_f32_to_f16(v1, v1);
                } else {
                    v_m_prev1 = Q6_V_vzero();
                }
            }

            HVX_Vector v_dup_m0 = Q6_Vhf_vmax_VhfVhf(v_m_prev0, v_s_rowmax0);
            HVX_Vector v_dup_m1 = Q6_Vhf_vmax_VhfVhf(v_m_prev1, v_s_rowmax1);

            // Insert row r, r+1 rowmax into rowmax_acc_v
            {
                HVX_VectorPred p_start = Q6_Q_vsetq_R(r_vec_off * 2);
                HVX_VectorPred p_mid   = Q6_Q_vsetq_R((r_vec_off + 1) * 2);
                HVX_VectorPred p_end   = Q6_Q_vsetq2_R((r_vec_off + 2) * 2);
                HVX_VectorPred p_lane0 = Q6_Q_and_QQn(p_mid, p_start);
                HVX_VectorPred p_lane1 = Q6_Q_and_QQn(p_end, p_mid);
                rowmax_acc_v           = Q6_V_vmux_QVV(p_lane0, v_dup_m0, rowmax_acc_v);
                rowmax_acc_v           = Q6_V_vmux_QVV(p_lane1, v_dup_m1, rowmax_acc_v);
            }

            // Compute P = exp(S - m_new)
            const HVX_Vector v_zero      = Q6_V_vzero();
            HVX_Vector       v_p_rowsum0 = v_zero;
            HVX_Vector       v_p_rowsum1 = v_zero;

            for (size_t c = 0; c < kv_rows; c += 64) {
                size_t     ci           = c / 64;
                HVX_Vector v_s_minus_m0 = Q6_Vqf16_vsub_VhfVhf(my_row_buf0[ci], v_dup_m0);
                HVX_Vector v_s_minus_m1 = Q6_Vqf16_vsub_VhfVhf(my_row_buf1[ci], v_dup_m1);

                HVX_Vector v_p_row0_hf  = hvx_vec_exp2_f16(Q6_Vhf_equals_Vqf16(v_s_minus_m0));
                HVX_Vector v_p_row1_hf  = hvx_vec_exp2_f16(Q6_Vhf_equals_Vqf16(v_s_minus_m1));
                __fp16 *     out_dual_tile = p_st_base + (c / 64) * HMX_FP16_TILE_N_ELMS * 2;
                HVX_Vector * pv_p_out0     = ((HVX_Vector *) out_dual_tile) + r1 / 2;
                HVX_Vector * pv_p_out1     = pv_p_out0 + 16;

                HVX_VectorPair vp_p_dual = Q6_W_vshuff_VVR(v_p_row1_hf, v_p_row0_hf, -2);
                *pv_p_out0               = Q6_V_lo_W(vp_p_dual);
                *pv_p_out1               = Q6_V_hi_W(vp_p_dual);

                HVX_VectorPair vp_p0 = hvx_vec_f16_to_f32_shuff(v_p_row0_hf);
                HVX_VectorPair vp_p1 = hvx_vec_f16_to_f32_shuff(v_p_row1_hf);

                v_p_rowsum0 = Q6_Vqf32_vadd_Vqf32Vqf32(v_p_rowsum0, Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(vp_p0), Q6_V_hi_W(vp_p0)));
                v_p_rowsum1 = Q6_Vqf32_vadd_Vqf32Vqf32(v_p_rowsum1, Q6_Vqf32_vadd_VsfVsf(Q6_V_lo_W(vp_p1), Q6_V_hi_W(vp_p1)));
            }

            HVX_Vector rowsum0_sf = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(v_p_rowsum0));
            HVX_Vector rowsum1_sf = hvx_vec_reduce_sum_f32(Q6_Vsf_equals_Vqf32(v_p_rowsum1));
            {
                HVX_Vector rv0_v = hvx_vec_f32_to_f16(rowsum0_sf, rowsum0_sf);
                HVX_Vector rv1_v = hvx_vec_f32_to_f16(rowsum1_sf, rowsum1_sf);

                HVX_VectorPred p_start = Q6_Q_vsetq_R(r_vec_off * 2);
                HVX_VectorPred p_mid   = Q6_Q_vsetq_R((r_vec_off + 1) * 2);
                HVX_VectorPred p_end   = Q6_Q_vsetq2_R((r_vec_off + 2) * 2);
                HVX_VectorPred p_lane0 = Q6_Q_and_QQn(p_mid, p_start);
                HVX_VectorPred p_lane1 = Q6_Q_and_QQn(p_end, p_mid);
                rowsum_acc_v           = Q6_V_vmux_QVV(p_lane0, rv0_v, rowsum_acc_v);
                rowsum_acc_v           = Q6_V_vmux_QVV(p_lane1, rv1_v, rowsum_acc_v);
            }
        }

        // Inline fa_ml_update_and_build_d for this vector (lock-free and in parallel)
        HVX_VectorPair rowmax_acc_pair = hvx_vec_f16_to_f32(rowmax_acc_v);
        HVX_Vector     v_rowmax_acc_f32_0 = Q6_V_lo_W(rowmax_acc_pair);
        HVX_Vector     v_rowmax_acc_f32_1 = Q6_V_hi_W(rowmax_acc_pair);

        HVX_Vector v_m_curr0 = Q6_Vsf_vmax_VsfVsf(m_prev_v0, v_rowmax_acc_f32_0);
        HVX_Vector v_m_curr1 = Q6_Vsf_vmax_VsfVsf(m_prev_v1, v_rowmax_acc_f32_1);

        HVX_Vector v_m_diff0 = HVX_OP_SUB_F32(m_prev_v0, v_m_curr0);
        HVX_Vector v_m_diff1 = HVX_OP_SUB_F32(m_prev_v1, v_m_curr1);

        HVX_Vector v_m_diff_f16 = hvx_vec_f32_to_f16(v_m_diff0, v_m_diff1);
        HVX_Vector exp_m_diff_f16 = hvx_vec_exp2_f16(v_m_diff_f16);

        HVX_VectorPair exp_m_diff_pair = hvx_vec_f16_to_f32(exp_m_diff_f16);
        HVX_Vector exp_m_diff0 = Q6_V_lo_W(exp_m_diff_pair);
        HVX_Vector exp_m_diff1 = Q6_V_hi_W(exp_m_diff_pair);

        HVX_VectorPair rowsum_acc_pair = hvx_vec_f16_to_f32(rowsum_acc_v);
        HVX_Vector     v_rowsum_acc_f32_0 = Q6_V_lo_W(rowsum_acc_pair);
        HVX_Vector     v_rowsum_acc_f32_1 = Q6_V_hi_W(rowsum_acc_pair);

        HVX_Vector v_l_curr0;
        HVX_Vector v_l_curr1;
        if (args->kv_start == 0 && factx->sinks != NULL) {
            // First KV block with sinks: m_prev holds the seeded sink value (not -inf),
            // so exp_m_diff = exp2(sink - m_curr) is the sink's contribution to the
            // denominator. l_prev is 0 here, so add exp_m_diff directly instead of
            // multiplying the (uninitialized) l_prev term.
            v_l_curr0 = HVX_OP_ADD_F32(exp_m_diff0, v_rowsum_acc_f32_0);
            v_l_curr1 = HVX_OP_ADD_F32(exp_m_diff1, v_rowsum_acc_f32_1);
        } else {
            HVX_Vector l_prev_v0 = factx->vtcm_l_vec[r_vec_idx * 2 + 0];
            HVX_Vector l_prev_v1 = factx->vtcm_l_vec[r_vec_idx * 2 + 1];
            v_l_curr0 = HVX_OP_ADD_F32(HVX_OP_MUL_F32(l_prev_v0, exp_m_diff0), v_rowsum_acc_f32_0);
            v_l_curr1 = HVX_OP_ADD_F32(HVX_OP_MUL_F32(l_prev_v1, exp_m_diff1), v_rowsum_acc_f32_1);
        }

        factx->vtcm_m_vec[r_vec_idx * 2 + 0] = v_m_curr0;
        factx->vtcm_m_vec[r_vec_idx * 2 + 1] = v_m_curr1;
        factx->vtcm_l_vec[r_vec_idx * 2 + 0] = v_l_curr0;
        factx->vtcm_l_vec[r_vec_idx * 2 + 1] = v_l_curr1;

        // Build diagonal tile D = diag(exp(m_diff))
        const HVX_Vector     v_offsets = *(const HVX_Vector *) d_tile_scatter_offsets;
        const HVX_VectorPred q_32_mask = Q6_Q_vsetq_R(32 * sizeof(__fp16));
        HVX_Vector           v_exp_m_diff = exp_m_diff_f16;

        size_t t0 = r_vec_idx * 2;
        if (t0 < args->n_row_tiles) {
            const HVX_Vector v_content = v_exp_m_diff;
            __fp16 *         out_base  = factx->vtcm_d_tiles + t0 * (args->n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
            Q6_vscatter_QRMVhV(q_32_mask, (size_t) out_base, HMX_FP16_TILE_SIZE - 1, v_offsets, v_content);
        }

        size_t t1 = r_vec_idx * 2 + 1;
        if (t1 < args->n_row_tiles) {
            const HVX_Vector v_content = Q6_V_vror_VR(v_exp_m_diff, 64);
            __fp16 *         out_base  = factx->vtcm_d_tiles + t1 * (args->n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
            Q6_vscatter_QRMVhV(q_32_mask, (size_t) out_base, HMX_FP16_TILE_SIZE - 1, v_offsets, v_content);
        }
    }
    htp_trace_event_stop(tr, HTP_TRACE_EVT_HVX_FA_SFM, (uint16_t) (args->q_start * G + vec_start * 64));
}

static void fa_softmax_thread_nomask(unsigned int n, unsigned int i, void * data) {
    fa_softmax_impl(n, i, data,
                    /*has_mask=*/false,
                    /*mask_broadcast=*/false,
                    /*is_g1=*/false,
                    /*has_alibi=*/false,
                    /*has_softcap=*/false);
}

static void fa_softmax_thread_mask_broadcast_g1(unsigned int n, unsigned int i, void * data) {
    fa_softmax_impl(n, i, data,
                    /*has_mask=*/true,
                    /*mask_broadcast=*/true,
                    /*is_g1=*/true,
                    /*has_alibi=*/false,
                    /*has_softcap=*/false);
}

static void fa_softmax_thread_mask_broadcast_gn(unsigned int n, unsigned int i, void * data) {
    fa_softmax_impl(n, i, data,
                    /*has_mask=*/true,
                    /*mask_broadcast=*/true,
                    /*is_g1=*/false,
                    /*has_alibi=*/false,
                    /*has_softcap=*/false);
}

static void fa_softmax_thread(unsigned int n, unsigned int i, void * data) {
    fa_softmax_args_t *     args  = (fa_softmax_args_t *) data;
    struct hmx_fa_context * factx = args->factx;

    const bool has_mask       = (args->mask != NULL);
    const bool mask_broadcast = factx->mask_broadcast;
    const bool is_g1          = (args->G == 1);
    const bool has_alibi      = args->has_alibi;
    const bool has_softcap    = (factx->logit_softcap != 0.0f);

    fa_softmax_impl(n, i, data, has_mask, mask_broadcast, is_g1, has_alibi, has_softcap);
}

static __attribute__((noinline)) void fa_build_d_diag_inv_l(struct hmx_fa_context * factx,
                                                            size_t                  n_row_tiles,
                                                            size_t                  n_row_tiles_g_br) {
    const HVX_Vector     v_offsets = *(const HVX_Vector *) d_tile_scatter_offsets;
    const HVX_VectorPred q_32_mask = Q6_Q_vsetq_R(32 * sizeof(__fp16));
    const HVX_Vector     one       = hvx_vec_splat_f32(1.0f);

    HVX_Vector v_content = Q6_V_vzero();
    for (size_t i = 0; i < n_row_tiles; ++i) {
        if ((i % 2) == 0) {
            HVX_Vector inv_lo = HVX_OP_MUL_F32(one, hvx_vec_inverse_f32(factx->vtcm_l_vec[i]));
            HVX_Vector inv_hi = (i + 1 < n_row_tiles) ? HVX_OP_MUL_F32(one, hvx_vec_inverse_f32(factx->vtcm_l_vec[i + 1])) : Q6_V_vzero();
            v_content = hvx_vec_f32_to_f16(inv_lo, inv_hi);
        } else {
            v_content = Q6_V_vror_VR(v_content, 64);
        }

        __fp16 * out_base = factx->vtcm_d_tiles + i * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
        Q6_vscatter_QRMVhV(q_32_mask, (size_t) out_base, HMX_FP16_TILE_SIZE - 1, v_offsets, v_content);
    }
}

static void fa_phase_softmax_and_build_d(struct hmx_fa_context * factx,
                                         fa_softmax_args_t *     sargs,
                                         size_t                  n_row_tiles,
                                         size_t                  n_row_tiles_g_br) {
    worker_pool_context_t wp = factx->octx->ctx->worker_pool;
    const size_t n_row_vec_cnt = hmx_ceil_div(sargs->n_rows_g, 64);

    worker_callback_t softmax_fn = fa_softmax_thread;
    if (sargs->mask == NULL && factx->logit_softcap == 0.0f && !sargs->has_alibi) {
        softmax_fn = fa_softmax_thread_nomask;
    } else if (sargs->mask != NULL && factx->mask_broadcast && factx->logit_softcap == 0.0f && !sargs->has_alibi) {
        if (sargs->G == 1) {
            softmax_fn = fa_softmax_thread_mask_broadcast_g1;
        } else {
            softmax_fn = fa_softmax_thread_mask_broadcast_gn;
        }
    }

    if (factx->n_threads > 1 && n_row_vec_cnt >= 2) {
        uint32_t n_use = (uint32_t) hex_smin((size_t) factx->n_threads, n_row_vec_cnt);
        sargs->thread_div = init_fastdiv_values(n_use);
        worker_pool_run_func(wp, softmax_fn, sargs, n_use);
    } else {
        softmax_fn(1, 0, sargs);
    }
}

// ============================================================================
// HMX job structs and worker functions
// ============================================================================

typedef struct {
    const __fp16 * q_tiles;
    const __fp16 * k_tiles;
    __fp16 *       s_tiles;
    size_t         n_row_tiles;
    size_t         n_col_tiles;
    size_t         n_dot_tiles;  // DK / 32
    size_t         n_tiles_per_bc;
    uint8_t *      hmx_scales;
} hmx_fa_qk_job_t;

static void hmx_fa_qk_dot_worker(void * data) {
    hmx_fa_qk_job_t * job            = (hmx_fa_qk_job_t *) data;
    const size_t      n_row_tiles    = job->n_row_tiles;
    const size_t      n_col_tiles    = job->n_col_tiles;
    const size_t      n_dot_tiles    = job->n_dot_tiles;
    const size_t      n_tiles_per_bc = job->n_tiles_per_bc;
    const __fp16 * restrict q_tiles  = job->q_tiles;
    const __fp16 * restrict k_tiles  = job->k_tiles;
    __fp16 * restrict s_tiles        = job->s_tiles;
    __builtin_assume(n_row_tiles > 0);
    __builtin_assume(n_col_tiles > 0);
    __builtin_assume(n_dot_tiles > 0);

    Q6_bias_mxmem2_A((void *) job->hmx_scales);
    for (size_t r = 0; r < n_row_tiles; ++r) {
        for (size_t c = 0; c < n_col_tiles; ++c) {
            const __fp16 * row_tiles = q_tiles + r * HMX_FP16_TILE_N_ROWS * n_dot_tiles * HMX_FP16_TILE_N_COLS;
            const __fp16 * col_tiles = k_tiles + c * HMX_FP16_TILE_N_COLS * n_dot_tiles * HMX_FP16_TILE_N_COLS;
            __fp16 *       out_tile  = s_tiles + (r * n_tiles_per_bc + c) * HMX_FP16_TILE_N_ELMS;

            hmx_fa_qk_dot_tile(row_tiles, col_tiles, out_tile, n_dot_tiles);
        }
    }
}

typedef struct {
    __fp16 *       o_curr;
    const __fp16 * o_prev;
    const __fp16 * p_tiles;
    const __fp16 * v_tiles;
    const __fp16 * d_tiles;
    uint8_t *      hmx_scales;
    size_t         n_row_tiles;
    size_t         n_col_tiles;
    size_t         n_row_tiles_g_br;
    size_t         n_tiles_per_bc;
    size_t         DV;
} hmx_fa_o_update_job_t;

static void hmx_fa_o_update_worker(void * data) {
    hmx_fa_o_update_job_t * job              = (hmx_fa_o_update_job_t *) data;
    const size_t            n_row_tiles      = job->n_row_tiles;
    const size_t            n_col_tiles      = job->n_col_tiles;
    const size_t            n_row_tiles_g_br = job->n_row_tiles_g_br;
    const size_t            n_tiles_per_bc   = job->n_tiles_per_bc;
    const size_t            DV_tiles         = job->DV / 32;
    const __fp16 * restrict d_tiles          = job->d_tiles;
    const __fp16 * restrict p_tiles          = job->p_tiles;
    const __fp16 * restrict v_tiles          = job->v_tiles;
    const __fp16 * restrict o_prev           = job->o_prev;
    __fp16 * restrict o_curr                 = job->o_curr;
    __builtin_assume(n_row_tiles > 0);
    __builtin_assume(n_col_tiles > 0);
    __builtin_assume(DV_tiles > 0);

    Q6_bias_mxmem2_A((void *) job->hmx_scales);
    for (size_t r = 0; r < n_row_tiles; ++r) {
        for (size_t c = 0; c < DV_tiles; ++c) {
            // D[r,r] @ O_prev[r,c] — only the diagonal tile
            const __fp16 * d_diag = d_tiles + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
            const __fp16 * o_rc   = o_prev + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;
            const __fp16 * p_tile_in = p_tiles + (r * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS;
            const __fp16 * v_tile_in = v_tiles + (c * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS;
            __fp16 * o_tile_out = o_curr + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;

            hmx_fa_o_update_tile(d_diag, o_rc, p_tile_in, v_tile_in, o_tile_out, n_col_tiles);
        }
    }
}

typedef struct {
    __fp16 *       o_curr;   // output (row-major tile layout)
    const __fp16 * o_prev;   // input (column-major tile layout)
    const __fp16 * d_tiles;  // diag(1/l) tiles
    uint8_t *      hmx_scales;
    size_t         n_row_tiles;
    size_t         n_row_tiles_g_br;
    size_t         DV;
} hmx_fa_o_norm_job_t;

static void hmx_fa_o_norm_worker(void * data) {
    hmx_fa_o_norm_job_t * job              = (hmx_fa_o_norm_job_t *) data;
    const size_t          n_row_tiles      = job->n_row_tiles;
    const size_t          n_row_tiles_g_br = job->n_row_tiles_g_br;
    const size_t          DV_tiles         = job->DV / 32;
    const __fp16 * restrict d_tiles        = job->d_tiles;
    const __fp16 * restrict o_prev         = job->o_prev;
    __fp16 * restrict o_curr               = job->o_curr;
    __builtin_assume(n_row_tiles > 0);
    __builtin_assume(DV_tiles > 0);

    Q6_bias_mxmem2_A((void *) job->hmx_scales);
    for (size_t r = 0; r < n_row_tiles; ++r) {
        for (size_t c = 0; c < DV_tiles; ++c) {
            const __fp16 * d_diag = d_tiles + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
            const __fp16 * o_rc   = o_prev + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;
            __fp16 *       o_out  = o_curr + (r * DV_tiles + c) * HMX_FP16_TILE_N_ELMS;

            hmx_fa_o_norm_tile(d_diag, o_rc, o_out);
        }
    }
}

// Populate per-GQA-row ALiBi slopes for a given KV head.
static __attribute__((noinline)) void fa_compute_slopes(
                              const struct hmx_fa_context * factx,
                              uint32_t                      kv_head,
                              size_t                        n_rows_g) {
    __fp16 * slopes = factx->vtcm_slopes;
    if (factx->max_bias == 0.0f) {
        hvx_splat_f16_a(slopes, 1.0f, n_rows_g);
        return;
    }

    const uint32_t G           = factx->G;
    const uint32_t n_head_log2 = factx->n_head_log2;
    const float    m0          = factx->m0;
    const float    m1          = factx->m1;

    __fp16 temp_slopes[512] __attribute__((aligned(128)));
    if (G <= 32) {
        // Fast path: Compute G unique slope values in vector registers
        HVX_Vector v_val = hvx_alibi_slopes(kv_head, G, n_head_log2, m0, m1);

        __fp16 temp_slopes_aligned[64] __attribute__((aligned(128)));
        hvx_vmem(temp_slopes_aligned) = hvx_vec_f32_to_f16(v_val, Q6_V_vzero());

        for (uint32_t i = 0; i < G; ++i) {
            temp_slopes[i] = temp_slopes_aligned[i];
        }
    } else {
        // Fallback path: G > 32 (rare configurations)
        for (uint32_t i = 0; i < G; ++i) {
            temp_slopes[i] = (__fp16)alibi_slope(kv_head * G + i, n_head_log2, m0, m1);
        }
    }

    // Allocate stack buffer to avoid scalar writes to VTCM (which generates L2 misses)
    __fp16 local_slopes[n_rows_g] __attribute__((aligned(128)));
    for (size_t r = 0; r < n_rows_g; ++r) {
        local_slopes[r] = temp_slopes[fastmodulo(r, G, &factx->div_G)];
    }

    // Copy to VTCM slopes using HVX block copy (both are aligned to 128 bytes)
    hvx_copy_f16_aa((uint8_t *)slopes, (const uint8_t *)local_slopes, n_rows_g);
}

static void fa_push_mask_dma_gqa(
    dma_queue *               dma,
    const struct htp_tensor * mask,
    uint32_t                  q_start,
    uint32_t                  im3,
    uint32_t                  kv_start,
    uint32_t                  kv_head,
    uint32_t                  G,
    uint32_t                  m_line_bytes,
    uint32_t                  kv_rows,
    uint32_t                  n_q_rows,
    struct hmx_fa_context *   factx
) {
    for (uint32_t g = 0; g < G; ++g) {
        const uint32_t h_idx = kv_head * G + g;
        const uint32_t im2 = fastmodulo(h_idx, mask->ne[2], &factx->src3_div2);
        const uint8_t * ms_src = (const uint8_t *) mask->data + q_start * mask->nb[1] +
                                 im2 * mask->nb[2] + im3 * mask->nb[3] + kv_start * sizeof(__fp16);
        uint8_t * ms_dst = (uint8_t *) factx->vtcm_mask_buf + g * m_line_bytes;
        dma_queue_push(dma, dma_make_ptr(ms_dst, ms_src), G * m_line_bytes, mask->nb[1], kv_rows * sizeof(__fp16), n_q_rows);
    }
}

static void fa_pop_mask_dma_gqa(dma_queue * dma, uint32_t G) {
    for (uint32_t g = 0; g < G; ++g) {
        dma_queue_pop(dma);
    }
}

// ============================================================================
// Core HMX flash attention algorithm (GQA-merged)
// ============================================================================

int hmx_flash_attn_ext(struct htp_ops_context * octx) {
    struct htp_thread_trace * tr_hvx = octx->ctx ? &octx->ctx->trace[0] : NULL;
    struct htp_thread_trace * tr_hmx = octx->ctx ? &octx->ctx->trace[HTP_MAX_NTHREADS] : NULL;
    const struct htp_tensor * q    = octx->src[0];
    const struct htp_tensor * k    = octx->src[1];
    const struct htp_tensor * v    = octx->src[2];
    const struct htp_tensor * mask = (octx->src[3] && octx->src[3]->data) ? octx->src[3] : NULL;
    const struct htp_tensor * dst  = octx->dst;

    struct htp_context * const ctx = octx->ctx;

    if (!ctx->hmx_enabled) {
        return HTP_STATUS_NO_SUPPORT;
    }

    // Dimensions
    const uint32_t neq0 = q->ne[0];  // head_dim (DK)
    const uint32_t neq1 = q->ne[1];  // n_tokens
    const uint32_t neq2 = q->ne[2];  // n_heads
    const uint32_t neq3 = q->ne[3];  // n_seqs

    const uint32_t nek0 = k->ne[0];  // head_dim
    const uint32_t nek1 = k->ne[1];  // kv_len

    const uint32_t nev0 = v->ne[0];  // head_dim (DV)

    const uint32_t DK = neq0;
    const uint32_t DV = nev0;

    // HMX requires head_dim to be multiple of 32
    if (DK % 32 != 0 || DV % 32 != 0) {
        return HTP_STATUS_NO_SUPPORT;
    }

    const struct htp_fa_kernel_params * kparams = (const struct htp_fa_kernel_params *) octx->kernel_params;
    const uint32_t n_kv_heads = k->ne[2];

    // ======== Build context ========
    struct hmx_fa_context factx;
    memset(&factx, 0, sizeof(factx));
    factx.octx           = octx;
    factx.sinks          = octx->src[4];  // NULL if this op has no attention sinks
    factx.n_threads      = kparams->n_threads;
    factx.DK             = DK;
    factx.DV             = DV;
    factx.n_kv           = nek1;
    factx.n_kv_heads     = n_kv_heads;
    factx.n_heads        = neq2;
    factx.G              = kparams->G;
    factx.div_G          = kparams->u.hmx.div_G;
    factx.neq1           = neq1;
    factx.Br             = kparams->Br;
    factx.Bc             = kparams->Bc;
    factx.g_br           = kparams->u.hmx.g_br;
    factx.n_kv_blocks    = kparams->n_kv_blocks;
    factx.is_q_fp32      = (kparams->is_q_fp32 != 0);
    factx.is_dst_fp32    = (kparams->is_dst_fp32 != 0);
    factx.pipeline       = (kparams->u.hmx.pipeline != 0);
    factx.mask_broadcast = (kparams->u.hmx.mask_broadcast != 0);
    if (mask) {
        factx.src3_div2  = kparams->src3_div2;
        factx.src3_div3  = kparams->src3_div3;
    }

    if (kparams->logit_softcap == 0.0f) {
        factx.scale = (__fp16) (kparams->scale * EXP_LOG2E_F);  // log2(e)
    } else {
        factx.scale = (__fp16) kparams->scale;
    }
    factx.max_bias      = kparams->max_bias;
    factx.logit_softcap = (__fp16) (kparams->logit_softcap * EXP_LOG2E_F);

    factx.n_head_log2 = kparams->n_head_log2;
    factx.m0          = kparams->m0;
    factx.m1          = kparams->m1;

    const uint32_t Br = factx.Br;
    const uint32_t Bc = factx.Bc;
    const uint32_t g_br = factx.g_br;
    const bool pipeline = factx.pipeline;
    const uint32_t n_threads = factx.n_threads;
    const uint32_t G = factx.G;

    // ======== VTCM allocation (GQA-aware) ========
    const size_t size_k_row        = DK * sizeof(__fp16);
    const size_t size_v_row        = DV * sizeof(__fp16);
    const size_t size_k_row_padded = hex_round_up(size_k_row, 128);
    const size_t size_v_row_padded = hex_round_up(size_v_row, 128);

    const size_t q_tile_bytes  = hex_align_up(g_br * DK * sizeof(__fp16), 4096);
    const size_t o_tile_bytes  = hex_align_up(g_br * DV * sizeof(__fp16), 4096);
    const size_t k_dma_bytes   = hex_align_up(Bc * size_k_row_padded, 4096);
    const size_t v_dma_bytes   = hex_align_up(Bc * size_v_row_padded, 4096);
    const size_t k_tile_bytes  = hex_align_up(Bc * DK * sizeof(__fp16), 4096);
    const size_t v_tile_bytes  = hex_align_up(Bc * DV * sizeof(__fp16), 4096);
    const size_t s_tile_bytes  = hex_align_up(g_br * Bc * sizeof(__fp16), 4096);
    const size_t d_tile_bytes  = hex_align_up(g_br * g_br * sizeof(__fp16), 4096);
    const size_t col_vec_bytes = hex_align_up(g_br * sizeof(float), 256);
    const size_t row_vec_bytes = hex_align_up(Bc * sizeof(__fp16), 256);
    const size_t m_line_bytes  = hex_align_up(Bc * sizeof(__fp16), 128);
    const size_t m_buf_bytes   = hex_align_up(Br * m_line_bytes, 4096) * HMX_FA_DMA_CACHE_SIZE;
    const size_t slopes_bytes  = hex_align_up(g_br * sizeof(__fp16), 128);

    uint8_t * vtcm_cur = ctx->vtcm_base;

    factx.vtcm_q_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, q_tile_bytes);
    factx.vtcm_o_tiles[0]     = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, o_tile_bytes);
    factx.vtcm_o_tiles[1]     = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, o_tile_bytes);
    factx.vtcm_k_fp16[0]      = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, k_dma_bytes);
    factx.vtcm_k_fp16[1]      = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, k_dma_bytes);
    factx.vtcm_v_fp16[0]      = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, v_dma_bytes);
    factx.vtcm_v_fp16[1]      = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, v_dma_bytes);
    factx.vtcm_k_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, k_tile_bytes);
    factx.vtcm_v_tiles[0]     = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, v_tile_bytes);
    if (pipeline) {
        factx.vtcm_v_tiles[1] = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, v_tile_bytes);
    } else {
        factx.vtcm_v_tiles[1] = NULL;
    }
    factx.vtcm_s_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, s_tile_bytes);
    factx.vtcm_p_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, s_tile_bytes);
    factx.vtcm_d_tiles        = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, d_tile_bytes);
    factx.vtcm_m_vec          = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes);
    factx.vtcm_l_vec          = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes);
    factx.vtcm_s_rowmax       = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes);
    factx.vtcm_p_rowsum       = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, col_vec_bytes);
    factx.vtcm_row_bufs       = (HVX_Vector *) vtcm_seq_alloc(&vtcm_cur, row_vec_bytes * 2 * n_threads);
    factx.row_buf_stride      = row_vec_bytes / sizeof(HVX_Vector);
    factx.vtcm_hmx_scales_id  = vtcm_seq_alloc(&vtcm_cur, 256);
    factx.vtcm_hmx_scales_qk  = vtcm_seq_alloc(&vtcm_cur, 256);
    factx.vtcm_mask_buf       = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, m_buf_bytes);
    factx.mask_buf_row_stride = m_line_bytes / sizeof(__fp16);
    factx.vtcm_slopes         = (__fp16 *) vtcm_seq_alloc(&vtcm_cur, slopes_bytes);

    dma_cache_init(&factx.m_cache, (uint8_t *) factx.vtcm_mask_buf, hex_align_up(Br * m_line_bytes, 4096), HMX_FA_DMA_CACHE_SIZE);

    if ((size_t) (vtcm_cur - ctx->vtcm_base) > ctx->vtcm_size) {
        return HTP_STATUS_VTCM_TOO_SMALL;
    }

    // ======== Initialize HMX output scales ========
    hmx_init_column_scales(factx.vtcm_hmx_scales_id, Q6_V_vsplat_R(0x3c00)); // 1.0
    hmx_init_column_scales(factx.vtcm_hmx_scales_qk, hvx_vec_splat_f16(factx.scale));

    // ======== Skip compute if profiling ========
    if (octx->flags & HTP_OPFLAGS_SKIP_COMPUTE) {
        return HTP_STATUS_OK;
    }

    // ======== DMA setup ========
    dma_queue * const dma = ctx->dma[0];

    const size_t n_row_tiles_g_br = g_br / HMX_FP16_TILE_N_ROWS;
    const size_t n_tiles_per_bc   = Bc / HMX_FP16_TILE_N_COLS;

    const size_t qo_element_size = factx.is_q_fp32 ? sizeof(float) : sizeof(__fp16);

    // ======== HMX lock strategy ========
    if (!factx.pipeline) {
        HAP_compute_res_hmx_lock(ctx->vtcm_rctx);
    }

    // ======== Reusable job descriptors for pipeline ========
    hmx_fa_qk_job_t       qk_job;
    hmx_fa_o_update_job_t ou_job;
    hmx_fa_o_norm_job_t   on_job;

    // ======== Main loop ========
    for (uint32_t ib3 = 0; ib3 < neq3; ++ib3) {
        const uint32_t im3 = mask ? fastmodulo(ib3, mask->ne[3], &factx.src3_div3) : 0;
        for (uint32_t q_start = 0; q_start < neq1; q_start += Br) {
            const uint32_t n_q_rows    = hex_smin(Br, neq1 - q_start);
            const size_t   n_rows_g    = n_q_rows * G;
            const size_t   g_br_actual = hex_align_up(n_rows_g, HMX_FP16_TILE_N_ROWS);
            const size_t   n_row_tiles = g_br_actual / HMX_FP16_TILE_N_ROWS;

            for (uint32_t kv_head = 0; kv_head < n_kv_heads; ++kv_head) {
                const uint32_t ik2 = kv_head;
                const uint32_t ik3 = ib3 / (neq3 / k->ne[3]);
                const uint32_t iv2 = kv_head;
                const uint32_t iv3 = ib3 / (neq3 / v->ne[3]);

                // Prefetch first KV block
                if (factx.n_kv_blocks > 0) {
                    const uint32_t kv_rows0 = hex_smin(Bc, nek1);

                    const uint8_t * k_src = (const uint8_t *) k->data + ik2 * k->nb[2] + ik3 * k->nb[3];
                    dma_queue_push(dma, dma_make_ptr(factx.vtcm_k_fp16[0], k_src), size_k_row_padded, k->nb[1],
                                   size_k_row, kv_rows0);

                    const uint8_t * v_src = (const uint8_t *) v->data + iv2 * v->nb[2] + iv3 * v->nb[3];
                    dma_queue_push(dma, dma_make_ptr(factx.vtcm_v_fp16[0], v_src), size_v_row_padded, v->nb[1],
                                   size_v_row, kv_rows0);
                }

                // ---- Load Q block & Initialize per-block state ----
                fa_phase_q_load(&factx, q, q_start, kv_head, ib3, n_rows_g);

                __fp16 * o_tile_prev = factx.vtcm_o_tiles[0];
                __fp16 * o_tile_curr = factx.vtcm_o_tiles[1];

                // ---- KV block loop with DMA double-buffering ----
                size_t buf_idx = 0;

                htp_trace_event_start(tr_hvx, HTP_TRACE_EVT_HVX_A_PREP, (uint16_t) q_start);
                fa_compute_slopes(&factx, kv_head, n_rows_g);
                htp_trace_event_stop(tr_hvx, HTP_TRACE_EVT_HVX_A_PREP, (uint16_t) q_start);

                const size_t k_src_stride = size_k_row_padded / sizeof(__fp16);
                const size_t v_src_stride = size_v_row_padded / sizeof(__fp16);

                if (factx.pipeline) {
                    // ==================================================================
                    // Pipeline path
                    // ==================================================================
                    struct hmx_queue * hmx_q = ctx->hmx_queue;

                    for (uint32_t kv_blk = 0; kv_blk < factx.n_kv_blocks; ++kv_blk) {
                        const uint32_t kv_start    = kv_blk * Bc;
                        const uint32_t kv_rows     = hex_smin(Bc, nek1 - kv_start);
                        const size_t   n_col_tiles = hmx_ceil_div(kv_rows, HMX_FP16_TILE_N_COLS);

                        // Push mask DMA
                        if (mask) {
                            if (__builtin_expect(factx.mask_broadcast, true)) {
                                const uint8_t * ms_src = (const uint8_t *) mask->data + q_start * mask->nb[1] + im3 * mask->nb[3] + kv_start * sizeof(__fp16);
                                dma_cache_push(dma, &factx.m_cache, ms_src, m_line_bytes, mask->nb[1], kv_rows * sizeof(__fp16), n_q_rows);
                            } else {
                                fa_push_mask_dma_gqa(dma, mask, q_start, im3, kv_start, kv_head, G, m_line_bytes, kv_rows, n_q_rows, &factx);
                            }
                        }

                        // Wait for current KV DMA
                        dma_queue_pop(dma);  // K
                        dma_queue_pop(dma);  // V

                        // ---- Phase 1: K_int ----
                        if (kv_blk > 0) {
                            ou_job.o_curr           = o_tile_curr;
                            ou_job.o_prev           = o_tile_prev;
                            ou_job.p_tiles          = factx.vtcm_p_tiles;
                            ou_job.v_tiles          = factx.vtcm_v_tiles[1 - buf_idx];
                            ou_job.d_tiles          = factx.vtcm_d_tiles;
                            ou_job.hmx_scales       = factx.vtcm_hmx_scales_id;
                            ou_job.n_row_tiles      = n_row_tiles;
                            ou_job.n_col_tiles      = hmx_ceil_div(hex_smin(Bc, nek1 - (kv_blk - 1) * Bc), HMX_FP16_TILE_N_COLS);
                            ou_job.n_row_tiles_g_br = n_row_tiles_g_br;
                            ou_job.n_tiles_per_bc   = n_tiles_per_bc;
                            ou_job.DV               = DV;
                            hmx_queue_push(hmx_q, hmx_queue_make_desc(hmx_fa_o_update_worker, &ou_job));
                        }
                        fa_phase_k_interleave(&factx, kv_rows, k_src_stride, buf_idx, kv_start);

                        // ---- Phase 2: qk_dot ----
                        qk_job.q_tiles        = factx.vtcm_q_tiles;
                        qk_job.k_tiles        = factx.vtcm_k_tiles;
                        qk_job.s_tiles        = factx.vtcm_s_tiles;
                        qk_job.n_row_tiles    = n_row_tiles;
                        qk_job.n_col_tiles    = n_col_tiles;
                        qk_job.n_dot_tiles    = DK / 32;
                        qk_job.n_tiles_per_bc = n_tiles_per_bc;
                        qk_job.hmx_scales     = factx.vtcm_hmx_scales_qk;
                        hmx_queue_push(hmx_q, hmx_queue_make_desc(hmx_fa_qk_dot_worker, &qk_job));

                        if (kv_blk + 1 < factx.n_kv_blocks) {
                            const uint32_t  prefetch_start = (kv_blk + 1) * Bc;
                            const uint32_t  prefetch_rows  = hex_smin(Bc, nek1 - prefetch_start);
                            const size_t    prefetch_buf   = 1 - buf_idx;
                            const uint8_t * k_prefetch_src = (const uint8_t *) k->data + prefetch_start * k->nb[1] + ik2 * k->nb[2] + ik3 * k->nb[3];
                            dma_queue_push(dma, dma_make_ptr(factx.vtcm_k_fp16[prefetch_buf], k_prefetch_src), size_k_row_padded, k->nb[1], size_k_row, prefetch_rows);
                            const uint8_t * v_prefetch_src = (const uint8_t *) v->data + prefetch_start * v->nb[1] + iv2 * v->nb[2] + iv3 * v->nb[3];
                            dma_queue_push(dma, dma_make_ptr(factx.vtcm_v_fp16[prefetch_buf], v_prefetch_src), size_v_row_padded, v->nb[1], size_v_row, prefetch_rows);
                        }
                        fa_phase_v_interleave(&factx, kv_rows, v_src_stride, buf_idx, n_tiles_per_bc, kv_start);

                        if (kv_blk > 0) {
                            hmx_queue_pop(hmx_q);
                            hex_swap_ptr((void **) &o_tile_curr, (void **) &o_tile_prev);
                        }

                        hmx_queue_pop(hmx_q);

                        // ---- Phase 3: softmax + build_D ----
                        __fp16 * current_mask_vtcm = NULL;
                        if (mask) {
                            if (__builtin_expect(factx.mask_broadcast, true)) {
                                current_mask_vtcm = (__fp16 *) dma_queue_pop(dma).dst;
                            } else {
                                fa_pop_mask_dma_gqa(dma, G);
                                current_mask_vtcm = factx.vtcm_mask_buf;
                            }
                        }

                        fa_softmax_args_t sargs;
                        memset(&sargs, 0, sizeof(sargs));
                        sargs.factx                = &factx;
                        sargs.kv_rows              = kv_rows;
                        sargs.n_rows_g             = n_rows_g;
                        sargs.n_col_tiles          = n_col_tiles;
                        sargs.n_tiles_per_bc       = n_tiles_per_bc;
                        sargs.n_row_tiles          = n_row_tiles;
                        sargs.n_row_tiles_g_br     = n_row_tiles_g_br;
                        sargs.Bc                   = Bc;
                        sargs.G                    = G;
                        sargs.kv_head              = kv_head;
                        sargs.kv_start             = kv_start;
                        sargs.q_start              = q_start;
                        sargs.ib3                  = ib3;
                        sargs.has_alibi            = (factx.max_bias != 0.0f);
                        sargs.mask                 = mask;
                        sargs.mask_vtcm            = current_mask_vtcm;
                        sargs.mask_vtcm_row_stride = factx.mask_buf_row_stride;
                        sargs.slopes               = factx.vtcm_slopes;
                        fa_phase_softmax_and_build_d(&factx, &sargs, n_row_tiles, n_row_tiles_g_br);

                        buf_idx = 1 - buf_idx;
                    }

                    // Epilogue
                    if (factx.n_kv_blocks > 0) {
                        const uint32_t last_blk = factx.n_kv_blocks - 1;
                        const size_t last_cols  = hmx_ceil_div(hex_smin(Bc, nek1 - last_blk * Bc), HMX_FP16_TILE_N_COLS);
                        ou_job.o_curr           = o_tile_curr;
                        ou_job.o_prev           = o_tile_prev;
                        ou_job.p_tiles          = factx.vtcm_p_tiles;
                        ou_job.v_tiles          = factx.vtcm_v_tiles[1 - buf_idx];
                        ou_job.d_tiles          = factx.vtcm_d_tiles;
                        ou_job.hmx_scales       = factx.vtcm_hmx_scales_id;
                        ou_job.n_row_tiles      = n_row_tiles;
                        ou_job.n_col_tiles      = last_cols;
                        ou_job.n_row_tiles_g_br = n_row_tiles_g_br;
                        ou_job.n_tiles_per_bc   = n_tiles_per_bc;
                        ou_job.DV               = DV;
                        hmx_queue_push(hmx_q, hmx_queue_make_desc(hmx_fa_o_update_worker, &ou_job));
                        hmx_queue_pop(hmx_q);

                        hex_swap_ptr((void **) &o_tile_curr, (void **) &o_tile_prev);
                    }

                } else {
                    // ==================================================================
                    // Fallback path
                    // ==================================================================
                    for (uint32_t kv_blk = 0; kv_blk < factx.n_kv_blocks; ++kv_blk) {
                        const uint32_t kv_start    = kv_blk * Bc;
                        const uint32_t kv_rows     = hex_smin(Bc, nek1 - kv_start);
                        const size_t   n_col_tiles = hmx_ceil_div(kv_rows, HMX_FP16_TILE_N_COLS);
                        dma_queue_pop(dma);  // K
                        dma_queue_pop(dma);  // V

                        if (mask) {
                            if (__builtin_expect(factx.mask_broadcast, true)) {
                                const uint8_t * ms_src = (const uint8_t *) mask->data + q_start * mask->nb[1] + im3 * mask->nb[3] + kv_start * sizeof(__fp16);
                                dma_cache_push(dma, &factx.m_cache, ms_src, m_line_bytes, mask->nb[1], kv_rows * sizeof(__fp16), n_q_rows);
                            } else {
                                fa_push_mask_dma_gqa(dma, mask, q_start, im3, kv_start, kv_head, G, m_line_bytes, kv_rows, n_q_rows, &factx);
                            }
                        }
                        if (kv_blk + 1 < factx.n_kv_blocks) {
                            const uint32_t  prefetch_start = (kv_blk + 1) * Bc;
                            const uint32_t  prefetch_rows  = hex_smin(Bc, nek1 - prefetch_start);
                            const size_t    prefetch_buf   = 1 - buf_idx;
                            const uint8_t * k_prefetch_src = (const uint8_t *) k->data + prefetch_start * k->nb[1] + ik2 * k->nb[2] + ik3 * k->nb[3];
                            dma_queue_push(dma, dma_make_ptr(factx.vtcm_k_fp16[prefetch_buf], k_prefetch_src), size_k_row_padded, k->nb[1], size_k_row, prefetch_rows);
                            const uint8_t * v_prefetch_src = (const uint8_t *) v->data + prefetch_start * v->nb[1] + iv2 * v->nb[2] + iv3 * v->nb[3];
                            dma_queue_push(dma, dma_make_ptr(factx.vtcm_v_fp16[prefetch_buf], v_prefetch_src), size_v_row_padded, v->nb[1], size_v_row, prefetch_rows);
                        }
                        fa_phase_k_interleave(&factx, kv_rows, k_src_stride, buf_idx, kv_start);

                        {
                            const size_t n_dot_tiles       = (size_t) (DK / 32);
                            const __fp16 * restrict q_base = factx.vtcm_q_tiles;
                            const __fp16 * restrict k_base = factx.vtcm_k_tiles;
                            __fp16 * restrict s_base       = factx.vtcm_s_tiles;
                            __builtin_assume(n_row_tiles > 0);
                            __builtin_assume(n_col_tiles > 0);
                            __builtin_assume(n_dot_tiles > 0);

                            htp_trace_event_start(tr_hmx, HTP_TRACE_EVT_HMX_COMP, (uint16_t) q_start);
                            Q6_bias_mxmem2_A((void *) factx.vtcm_hmx_scales_qk);
                            for (size_t r = 0; r < n_row_tiles; ++r) {
                                for (size_t c = 0; c < n_col_tiles; ++c) {
                                    const __fp16 * row_tiles = q_base + r * HMX_FP16_TILE_N_ROWS * DK;
                                    const __fp16 * col_tiles = k_base + c * HMX_FP16_TILE_N_COLS * DK;
                                    __fp16 *       out_tile  = s_base + (r * n_tiles_per_bc + c) * HMX_FP16_TILE_N_ELMS;

                                    hmx_fa_qk_dot_tile(row_tiles, col_tiles, out_tile, n_dot_tiles);
                                }
                            }
                            htp_trace_event_stop(tr_hmx, HTP_TRACE_EVT_HMX_COMP, (uint16_t) q_start);
                        }

                        // ---- Phase 3: softmax + build_D ----
                        __fp16 * current_mask_vtcm = NULL;
                        if (mask) {
                            if (__builtin_expect(factx.mask_broadcast, true)) {
                                current_mask_vtcm = (__fp16 *) dma_queue_pop(dma).dst;
                            } else {
                                fa_pop_mask_dma_gqa(dma, G);
                                current_mask_vtcm = factx.vtcm_mask_buf;
                            }
                        }

                        fa_softmax_args_t sargs;
                        memset(&sargs, 0, sizeof(sargs));
                        sargs.factx                = &factx;
                        sargs.kv_rows              = kv_rows;
                        sargs.n_rows_g             = n_rows_g;
                        sargs.n_col_tiles          = n_col_tiles;
                        sargs.n_tiles_per_bc       = n_tiles_per_bc;
                        sargs.n_row_tiles          = n_row_tiles;
                        sargs.n_row_tiles_g_br     = n_row_tiles_g_br;
                        sargs.Bc                   = Bc;
                        sargs.G                    = G;
                        sargs.kv_head              = kv_head;
                        sargs.kv_start             = kv_start;
                        sargs.q_start              = q_start;
                        sargs.ib3                  = ib3;
                        sargs.has_alibi            = (factx.max_bias != 0.0f);
                        sargs.mask                 = mask;
                        sargs.mask_vtcm            = current_mask_vtcm;
                        sargs.mask_vtcm_row_stride = factx.mask_buf_row_stride;
                        sargs.slopes               = factx.vtcm_slopes;
                        fa_phase_softmax_and_build_d(&factx, &sargs, n_row_tiles, n_row_tiles_g_br);
                        fa_phase_v_interleave(&factx, kv_rows, v_src_stride, buf_idx, n_tiles_per_bc, kv_start);

                        {
                            const size_t DV_tiles           = (size_t) (DV / 32);
                            const __fp16 * restrict d_base  = factx.vtcm_d_tiles;
                            const __fp16 * restrict p_base  = factx.vtcm_p_tiles;
                            const __fp16 * restrict v_base  = factx.vtcm_v_tiles[0];
                            const __fp16 * restrict op_base = o_tile_prev;
                            __fp16 * restrict oc_base       = o_tile_curr;
                            __builtin_assume(n_row_tiles > 0);
                            __builtin_assume(n_col_tiles > 0);
                            __builtin_assume(DV_tiles > 0);

                            htp_trace_event_start(tr_hmx, HTP_TRACE_EVT_HMX_COMP, (uint16_t) q_start);
                            Q6_bias_mxmem2_A((void *) factx.vtcm_hmx_scales_id);
                            for (size_t r = 0; r < n_row_tiles; ++r) {
                                for (size_t c = 0; c < DV_tiles; ++c) {
                                    const __fp16 * d_diag = d_base  + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
                                    const __fp16 * o_rc   = op_base + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;
                                    const __fp16 * p_tile_in = p_base + (r * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS;
                                    const __fp16 * v_tile_in = v_base + (c * n_tiles_per_bc) * HMX_FP16_TILE_N_ELMS;
                                    __fp16 * o_tile_out = oc_base + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;

                                    hmx_fa_o_update_tile(d_diag, o_rc, p_tile_in, v_tile_in, o_tile_out, n_col_tiles);
                                }
                            }
                            htp_trace_event_stop(tr_hmx, HTP_TRACE_EVT_HMX_COMP, (uint16_t) q_start);
                            hex_swap_ptr((void **) &o_tile_curr, (void **) &o_tile_prev);
                        }

                        buf_idx = 1 - buf_idx;
                    }
                }

                // ---- Final normalization ----
                {
                    htp_trace_event_start(tr_hvx, HTP_TRACE_EVT_HVX_O_PROC, (uint16_t) q_start);
                    fa_build_d_diag_inv_l(&factx, n_row_tiles, n_row_tiles_g_br);
                    htp_trace_event_stop(tr_hvx, HTP_TRACE_EVT_HVX_O_PROC, (uint16_t) q_start);

                    if (factx.pipeline) {
                        on_job.o_curr           = o_tile_curr;
                        on_job.o_prev           = o_tile_prev;
                        on_job.d_tiles          = factx.vtcm_d_tiles;
                        on_job.hmx_scales       = factx.vtcm_hmx_scales_id;
                        on_job.n_row_tiles      = n_row_tiles;
                        on_job.n_row_tiles_g_br = n_row_tiles_g_br;
                        on_job.DV               = DV;
                        hmx_queue_push(ctx->hmx_queue, hmx_queue_make_desc(hmx_fa_o_norm_worker, &on_job));
                        hmx_queue_pop(ctx->hmx_queue);
                    } else {
                        const size_t DV_tiles           = (size_t) (DV / 32);
                        const __fp16 * restrict d_base  = factx.vtcm_d_tiles;
                        const __fp16 * restrict op_base = o_tile_prev;
                        __fp16 * restrict oc_base       = o_tile_curr;
                        __builtin_assume(n_row_tiles > 0);
                        __builtin_assume(DV_tiles > 0);

                        htp_trace_event_start(tr_hmx, HTP_TRACE_EVT_HMX_COMP, (uint16_t) q_start);
                        Q6_bias_mxmem2_A((void *) factx.vtcm_hmx_scales_id);
                        for (size_t r = 0; r < n_row_tiles; ++r) {
                            for (size_t c = 0; c < DV_tiles; ++c) {
                                const __fp16 * d_diag = d_base  + r * (n_row_tiles_g_br + 1) * HMX_FP16_TILE_N_ELMS;
                                const __fp16 * o_rc   = op_base + (c * n_row_tiles_g_br + r) * HMX_FP16_TILE_N_ELMS;
                                __fp16 *       o_out  = oc_base + (r * DV_tiles + c) * HMX_FP16_TILE_N_ELMS;

                                hmx_fa_o_norm_tile(d_diag, o_rc, o_out);
                            }
                        }
                        htp_trace_event_stop(tr_hmx, HTP_TRACE_EVT_HMX_COMP, (uint16_t) q_start);
                    }
                }

                // ---- Store O block ----
                fa_phase_o_store(&factx, dst, o_tile_curr, q_start, kv_head, ib3, n_rows_g);
            }
        }
    }

    if (factx.pipeline) {
        hmx_queue_suspend(ctx->hmx_queue);
    } else {
        HAP_compute_res_hmx_unlock(ctx->vtcm_rctx);
    }

    return HTP_STATUS_OK;
}

int op_flash_attn_ext(struct htp_ops_context * octx) {
    const struct htp_tensor * q    = octx->src[0];
    const struct htp_tensor * k    = octx->src[1];
    const struct htp_tensor * v    = octx->src[2];
    const struct htp_tensor * mask = octx->src[3];
    const struct htp_tensor * dst  = octx->dst;

    // Check support
    if ((q->type != HTP_TYPE_F16 && q->type != HTP_TYPE_F32) || k->type != HTP_TYPE_F16 || v->type != HTP_TYPE_F16) {
        return HTP_STATUS_NO_SUPPORT;
    }

    const struct htp_fa_kernel_params * kparams = (const struct htp_fa_kernel_params *) octx->kernel_params;

    if (kparams->kernel_type == HTP_FA_KERNEL_UNSUPPORTED) {
        return HTP_STATUS_NO_SUPPORT;
    }

    if (kparams->kernel_type == HTP_FA_KERNEL_HMX) {
        return hmx_flash_attn_ext(octx);
    }

    struct htp_fa_context factx;
    factx.octx = octx;

    factx.t_start = HAP_perf_get_qtimer_count();

    factx.src0_div21 = kparams->u.hvx.src0_div21;
    factx.src0_div1  = kparams->u.hvx.src0_div1;

    factx.broadcast_rk2 = kparams->u.hvx.broadcast_rk2;
    factx.broadcast_rk3 = kparams->u.hvx.broadcast_rk3;
    factx.broadcast_rv2 = kparams->u.hvx.broadcast_rv2;
    factx.broadcast_rv3 = kparams->u.hvx.broadcast_rv3;

    if (mask) {
        factx.src3_div2 = kparams->src3_div2;
        factx.src3_div3 = kparams->src3_div3;
    }

    factx.is_q_fp32 = (kparams->is_q_fp32 != 0);
    factx.size_q_row_padded = kparams->u.hvx.size_q_row_padded;
    factx.size_k_row_padded = kparams->u.hvx.size_k_row_padded;
    factx.size_v_row_padded = kparams->u.hvx.size_v_row_padded;

    size_t size_q_block = factx.size_q_row_padded * 1; // single row for now
    factx.size_k_block = factx.size_k_row_padded * FLASH_ATTN_BLOCK_SIZE;
    factx.size_v_block = factx.size_v_row_padded * FLASH_ATTN_BLOCK_SIZE;
    factx.size_m_block = hex_round_up(FLASH_ATTN_BLOCK_SIZE * sizeof(__fp16), 128);

    factx.n_blocks = kparams->n_kv_blocks;

    factx.scale = kparams->scale;
    factx.max_bias = kparams->max_bias;
    factx.logit_softcap = (__fp16) kparams->logit_softcap;

    factx.n_head_log2 = kparams->n_head_log2;
    factx.m0          = kparams->m0;
    factx.m1          = kparams->m1;

    const uint32_t n_head = q->ne[2];
    if (n_head > 512) {
        return HTP_STATUS_NO_SUPPORT;
    }
    for (uint32_t h = 0; h < n_head; ++h) {
        factx.slopes[h] = (__fp16) ((kparams->max_bias > 0.0f) ? alibi_slope(h, factx.n_head_log2, factx.m0, factx.m1) : 1.0f);
    }

    // total rows in q
    factx.qrows = kparams->qrows;
    factx.qrows_per_thread = kparams->qrows_per_thread;

    size_t size_vkq_acc = hex_round_up(v->ne[0] * sizeof(float), 128); // VKQ32

    factx.size_q_block = size_q_block;
    factx.size_vkq_acc = size_vkq_acc;

    uint8_t * vtcm_cur = octx->ctx->vtcm_base;

    factx.spad_q = vtcm_seq_alloc(&vtcm_cur, size_q_block * octx->n_threads);
    factx.spad_k = vtcm_seq_alloc(&vtcm_cur, factx.size_k_block * 2 * octx->n_threads);
    factx.spad_v = vtcm_seq_alloc(&vtcm_cur, factx.size_v_block * 2 * octx->n_threads);
    factx.spad_m = vtcm_seq_alloc(&vtcm_cur, (mask ? factx.size_m_block * HVX_FA_DMA_CACHE_SIZE : 0) * octx->n_threads);
    factx.spad_a = vtcm_seq_alloc(&vtcm_cur, size_vkq_acc * octx->n_threads);

    if ((size_t) (vtcm_cur - octx->ctx->vtcm_base) > octx->ctx->vtcm_size) {
        return HTP_STATUS_VTCM_TOO_SMALL;
    }

    if (!(octx->flags & HTP_OPFLAGS_SKIP_COMPUTE)) {
        worker_pool_run_func(octx->ctx->worker_pool, flash_attn_ext_f16_thread, &factx, octx->n_threads);
    }

    return HTP_STATUS_OK;
}