onednn-src 0.1.13

Source of oneAPI Deep Neural Network Library (oneDNN)
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
/*******************************************************************************
* Copyright 2022 Intel Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/

#include "gpu/intel/conv/jit/pipeline.hpp"

#include "gpu/intel/jit/ir/legacy.hpp"
#include "gpu/intel/jit/pass/alloc.hpp"

namespace dnnl {
namespace impl {
namespace gpu {
namespace intel {
namespace conv {
namespace jit {

// Helper structure for for_t.
struct loop_info_t {
    loop_info_t() = default;

    loop_info_t(const stmt_t &s) {
        gpu_assert(s.is<for_t>()) << s;
        auto &loop = s.as<for_t>();
        stmt = s;
        var = loop.var;
        init_ = loop.init;
        bound_ = loop.bound;
        expr_t e_size = simplify(bound_ - init_);
        gpu_assert(is_const(e_size));
        size_ = to_cpp<int>(e_size);
    }

    int init() const {
        gpu_assert(is_const(init_));
        return to_cpp<int>(init_);
    }

    int bound() const {
        gpu_assert(is_const(bound_));
        return to_cpp<int>(bound_);
    }

    int size() const { return size_; }
    const stmt_t &body() const { return stmt.as<for_t>().body; }
    int unroll() const { return stmt.as<for_t>().unroll; }

    stmt_t stmt;
    expr_t var;

private:
    expr_t init_;
    expr_t bound_;
    int size_ = 0;
};

// Iterates through multiple nested loops with fixed bounds. Used to unroll
// such nested loops.
class multi_loop_iterator_t {
public:
    // Ordered from innermost to outermost.
    multi_loop_iterator_t(const std::vector<loop_info_t> &loops)
        : loops_(loops) {
        for (auto &l : loops)
            var_values_.push_back(l.init());
    }

    int var_value(const expr_t &var) const {
        for (size_t i = 0; i < loops_.size(); i++) {
            if (loops_[i].var.is_same(var)) return var_values_[i];
        }
        gpu_error_not_expected();
        return 0;
    }

    void advance(int n = 1) {
        if (loops_.empty()) return;
        for (int i_n = 0; i_n < n; i_n++) {
            for (size_t i = 0; i < loops_.size(); i++) {
                auto &l = loops_[i];
                if (++var_values_[i] < l.bound()) break;
                var_values_[i] = l.init();
            }
            gpu_assert(var_values_.back() < loops_.back().bound());
        }
    }

    bool is_outer_loop_end() const {
        if (loops_.empty()) return true;
        for (size_t i = 0; i < loops_.size() - 1; i++) {
            auto &l = loops_[i];
            if (var_values_[i] != l.bound() - 1) return false;
        }
        return true;
    }

    std::string str() const {
        ostringstream_t oss;
        oss << "multi_loop_iterator_t(";
        for (size_t i = 0; i < loops_.size(); i++) {
            oss << (i != 0 ? ", " : "");
            oss << loops_[i].var << " = " << var_values_[i];
        }
        oss << ")";
        return oss.str();
    }

    XE_DEFINE_DUMP()

private:
    std::vector<loop_info_t> loops_;
    std::vector<int> var_values_;
};

// Extracts different parts of the compute iteration and verifies the loop nest
// is properly formed and can be further injected with SLM buffering.
class compute_step_visitor_t : public ir_visitor_t {
public:
    stmt_t find_stmt_group(const stmt_label_t &label) const {
        auto groups = find_stmt_groups(label);
        if (groups.empty()) return stmt_t();
        gpu_assert(groups.size() == 1);
        return groups[0];
    }

    std::vector<stmt_t> find_stmt_groups(const stmt_label_t &label) const {
        std::vector<stmt_t> ret;
        for (auto &_g : stmt_groups_) {
            auto &g = _g.as<stmt_group_t>();
            if (g.label == label) ret.push_back(_g);
        }
        return ret;
    }

    const std::vector<stmt_t> &inner_let_stmts() const {
        return inner_let_stmts_;
    }

#define HANDLE_IR_OBJECT(type) \
    void _visit(const type &obj) override { visit_stmt(obj); }

    HANDLE_STMT_IR_OBJECTS()

#undef HANDLE_IR_OBJECT

    template <typename T>
    void visit_stmt(const T &obj) {
        bool is_for = obj.template is<for_t>();
        bool is_stmt_group = obj.template is<stmt_group_t>();
        bool is_let = obj.template is<let_t>();
        bool is_stmt_seq = obj.template is<stmt_seq_t>();

        // Loop may contain:
        // - Another loop
        // - Container statement (stmt_seq_t or stmt_group_t)
        // - Let statement (in the innermost loop only)
        // - Barrier
        if (loop_level_ > 0) {
            bool ok = false;
            if (is_for || is_let || is_stmt_group || is_stmt_seq) {
                ok = true;
            } else if (obj.template is<func_call_t>()) {
                auto &call = obj.template as<func_call_t>();
                ok = call.func.is_same(funcs::barrier_func());
            }

            if (!ok) {
                gpu_error_not_expected()
                        << "Found unexpected statement inside loop.\n"
                        << stmt_t(obj);
            }
        }

        bool is_compute_loop = false;
        if (is_stmt_group) {
            auto label = obj.template as<stmt_group_t>().label;
            stmt_groups_.push_back(obj);
            if (utils::one_of(label, stmt_label_t::g2s_load(),
                        stmt_label_t::g2s_store(), stmt_label_t::g2r_load(),
                        stmt_label_t::s2r_load(), stmt_label_t::prefetch(),
                        stmt_label_t::mul())) {
                // Leaf labels, do not visit them.
                return;
            }
            if (label == stmt_label_t::compute_loop()) {
                is_compute_loop = true;
                in_compute_loop_ = true;
            }
        }

        if (is_for && in_compute_loop_) loop_level_++;
        found_loop_ = false;
        ir_visitor_t::_visit(obj);
        if (in_compute_loop_ && is_let) {
            if (found_loop_)
                gpu_error_not_expected()
                        << "Let is allowed in the innermost loop only.";

            inner_let_stmts_.push_back(replace_stmt_body(obj, stmt_t()));
        }
        if (is_for && in_compute_loop_) {
            loop_level_--;
            found_loop_ = true;
        }

        if (is_compute_loop) in_compute_loop_ = false;
    }

private:
    bool found_loop_ = false;
    bool in_compute_loop_ = false;
    int loop_level_ = 0;

    std::vector<stmt_t> stmt_groups_;
    std::vector<stmt_t> inner_let_stmts_;
};

// Provides access to different parts of the inner compute iteration.
class compute_step_t {
public:
    compute_step_t(const stmt_t &parent) {
        compute_step_visitor_t v;
        v.visit(parent);

        compute_loop_ = v.find_stmt_group(stmt_label_t::compute_loop());
        g2s_load_ = v.find_stmt_group(stmt_label_t::g2s_load());
        g2s_store_ = v.find_stmt_group(stmt_label_t::g2s_store());
        prefetch_ = v.find_stmt_group(stmt_label_t::prefetch());
        g2r_load_ = v.find_stmt_groups(stmt_label_t::g2r_load());
        s2r_load_ = v.find_stmt_groups(stmt_label_t::s2r_load());
        mul_ = v.find_stmt_groups(stmt_label_t::mul());
        c_zero_out_ = v.find_stmt_group(stmt_label_t::c_zero_out());
        inner_let_stmts_ = v.inner_let_stmts();

        gpu_assert(g2r_load_.size() == mul_.size());
        gpu_assert(s2r_load_.size() == mul_.size());

        // Assign preload/mul tags to let statements.
        for (auto &_let : inner_let_stmts_) {
            auto &var = _let.as<let_t>().var;
            bool is_preload = (count_object(g2s_load_, var) > 0)
                    || (count_object(prefetch_, var) > 0);
            bool is_mul = count_object(g2r_load_, var) > 0
                    || count_object(mul_, var) > 0;
            if (is_preload) preload_lets_.insert(_let);
            if (is_mul) mul_lets_.insert(_let);
        }

        // Propagate preload/mul tags up based on dependencies between let
        // statements.
        std::vector<let_info_t> let_infos;
        object_set_t<stmt_t> seen;
        std::function<void(const stmt_t &)> propagate;
        propagate = [&](const stmt_t &_let) {
            if (seen.count(_let) > 0) return;
            auto &let = _let.as<let_t>();
            for (auto &_child : inner_let_stmts_) {
                auto &child = _child.as<let_t>();
                if (_child.is_same(_let)) continue;
                if (contains_object(child.value, let.var)) {
                    // Visit child let statements first.
                    propagate(_child);
                    // Propagate child preload/mul values to this let statement.
                    if (is_preload_let(_child)) preload_lets_.insert(_let);
                    if (is_mul_let(_child)) mul_lets_.insert(_let);
                }
            }
            auto let_info = create_let_info(
                    let, is_preload_let(_let), is_mul_let(_let));
            let_infos.push_back(std::move(let_info));
            seen.insert(_let);
        };
        for (auto &_let : inner_let_stmts_)
            propagate(_let);

        // Duplicate lets that are used in both preload and mul contexts.
        duplicate_lets(let_infos);
    }

    // See ir_core.hpp for the description.
    const stmt_t &compute_loop() const { return compute_loop_; }
    const stmt_t &g2s_load() const { return g2s_load_; }
    const stmt_t &g2s_store() const { return g2s_store_; }
    const stmt_t &prefetch() const { return prefetch_; }
    const std::vector<stmt_t> &g2r_load() const { return g2r_load_; }
    const std::vector<stmt_t> &s2r_load() const { return s2r_load_; }
    const std::vector<stmt_t> &mul() const { return mul_; }
    const stmt_t &c_zero_out() const { return c_zero_out_; }
    const std::vector<stmt_t> &inner_let_stmts() const {
        return inner_let_stmts_;
    }

    bool is_preload_let(const stmt_t &s) const {
        return preload_lets_.count(s) > 0;
    }
    bool is_mul_let(const stmt_t &s) const { return mul_lets_.count(s) > 0; }

private:
    struct let_info_t {
        let_info_t(const expr_t &var) : var(var) {}

        expr_t var;
        expr_t preload_var;
        expr_t mul_var;

        bool is_preload() const { return bool(preload_var); }
        bool is_mul() const { return bool(mul_var); }

        bool needs_update() const { return is_preload() && is_mul(); }
    };

    let_info_t create_let_info(const let_t &let, bool is_preload, bool is_mul) {
        let_info_t info(let.var);
        if (is_preload && !is_mul) {
            info.preload_var = let.var;
        } else if (!is_preload && is_mul) {
            info.mul_var = let.var;
        } else if (is_preload && is_mul) {
            info.preload_var = create_var_with_suffix(let.var, "p");
            info.mul_var = create_var_with_suffix(let.var, "m");
        }
        return info;
    }

    void duplicate_lets(const std::vector<let_info_t> &let_infos) {
        int nlets = int(inner_let_stmts_.size());
        gpu_assert(int(let_infos.size()) == nlets);

        std::vector<stmt_t> new_lets;
        for (int i = nlets - 1; i >= 0; i--) {
            auto &info = let_infos[i];
            auto &old_let = inner_let_stmts_[i].as<let_t>();
            if (!info.needs_update()) {
                auto new_value = update_var(old_let.value, let_infos,
                        info.is_preload(), info.is_mul());
                auto new_let = inner_let_stmts_[i];
                if (!new_value.is_same(old_let.value)) {
                    new_let = let_t::make(old_let.var, new_value, old_let.body);
                    if (info.is_preload()) {
                        preload_lets_.erase(&old_let);
                        preload_lets_.insert(new_let);
                    }
                    if (info.is_mul()) {
                        mul_lets_.erase(&old_let);
                        mul_lets_.insert(new_let);
                    }
                }
                new_lets.push_back(new_let);
                continue;
            }

            preload_lets_.erase(&old_let);
            mul_lets_.erase(&old_let);

            auto preload_value
                    = update_var(old_let.value, let_infos, true, false);
            auto preload_let = let_t::make(
                    info.preload_var, preload_value, old_let.body);

            auto mul_value = update_var(old_let.value, let_infos, false, true);
            auto mul_let = let_t::make(info.mul_var, mul_value, old_let.body);

            preload_lets_.insert(preload_let);
            new_lets.push_back(preload_let);

            mul_lets_.insert(mul_let);
            new_lets.push_back(mul_let);

            // Update statements.
            g2s_load_ = update_var(g2s_load_, let_infos, true, false);
            g2s_store_ = update_var(g2s_store_, let_infos, true, false);
            prefetch_ = update_var(prefetch_, let_infos, true, false);
            g2r_load_ = update_var(g2r_load_, let_infos, false, true);
            s2r_load_ = update_var(s2r_load_, let_infos, false, true);
            mul_ = update_var(mul_, let_infos, false, true);
        }

        std::reverse(new_lets.begin(), new_lets.end());
        inner_let_stmts_ = std::move(new_lets);
    }

    template <typename T>
    static std::vector<T> update_var(const std::vector<T> &vec,
            const std::vector<let_info_t> &let_infos, bool is_preload,
            bool is_mul) {
        std::vector<T> ret;
        ret.reserve(vec.size());
        for (auto &v : vec)
            ret.push_back(update_var(v, let_infos, is_preload, is_mul));
        return ret;
    }

    static object_t update_var(const object_t &obj,
            const std::vector<let_info_t> &let_infos, bool is_preload,
            bool is_mul) {
        auto ret = obj;
        for (auto &info : let_infos) {
            if (!info.needs_update()) continue;
            if (!contains_object(ret, info.var)) continue;
            if (is_preload) {
                gpu_assert(info.is_preload());
                ret = substitute(ret, info.var, info.preload_var);
            } else if (is_mul) {
                gpu_assert(info.is_mul());
                ret = substitute(ret, info.var, info.mul_var);
            }
        }
        return ret;
    }

    static expr_t create_var_with_suffix(
            const expr_t &_var, const std::string &suffix) {
        auto &var = _var.as<var_t>();
        auto new_name = var.name + "_" + suffix;
        return var_t::make(var.type, new_name);
    }

    stmt_t compute_loop_;
    stmt_t g2s_load_;
    stmt_t g2s_store_;
    stmt_t prefetch_;
    std::vector<stmt_t> g2r_load_;
    std::vector<stmt_t> s2r_load_;
    std::vector<stmt_t> mul_;
    stmt_t c_zero_out_;

    std::vector<stmt_t> inner_let_stmts_;

    // Due to loop unrolling the inner let statements may depend on different
    // indices of the outer loops. There are two contexts:
    // - "preload" loop iteration, e.g. index I
    // - "multiplication" loop iteration, e.g. index (I + nbuf)
    // Preloads (either via SLM or via prefetches) for the corresponding
    // multiplication are executed several iterations before the real
    // multiplication. That's why we need to know exactly in which context the
    // given let statement is used. It might be that the same variable is used
    // from two different contexts. In this case it is duplicated and
    // initialized with different values for each case.
    object_set_t<stmt_t> preload_lets_;
    object_set_t<stmt_t> mul_lets_;
};

// Helper class to access the outer loop index after pipelining. Pipelining
// in general requires tracking two versions of a loop index:
// - Multiplication version - corresponding to the iteration that is currently
//   used for multiplication
// - Preload version - corresponding to the iteration that is currently used
//   for preload for one of the next multiplications
// The multiplication version is a few steps behind the preload version.
class outer_loop_info_t : public loop_info_t {
public:
    outer_loop_info_t() = default;

    outer_loop_info_t(const stmt_t &s, ir_context_t &ir_ctx) : loop_info_t(s) {
        // Outer loop may not be used for unrolling hence loop iterations must
        // not use its index. If this doesn't hold, introduce a GRF buffer to
        // represent that variable and apply post-increment updates after each
        // outer loop iteration.
        if (count_object(s.as<for_t>().body, var) != 0) {
            has_var_refs_ = true;
            mul_var_buf_ = ir_ctx.create_tmp_var(
                    dsl::type_t::byte(dsl::type::attr_t::ptr),
                    var.as<var_t>().name + "_mul_buf");
            preload_var_buf_ = ir_ctx.create_tmp_var(
                    dsl::type_t::byte(dsl::type::attr_t::ptr),
                    var.as<var_t>().name + "_preload_buf");

            auto mul_alloc = alloc_t::make(
                    mul_var_buf_, var.type().size(), alloc_kind_t::grf);
            auto preload_alloc = alloc_t::make(
                    preload_var_buf_, var.type().size(), alloc_kind_t::grf);
            allocs_.push_back(mul_alloc);
            allocs_.push_back(preload_alloc);

            auto mul_init = store_t::make(mul_var_buf_, 0, init());
            auto preload_init = store_t::make(preload_var_buf_, 0, init());
            init_stmt_ = mul_init.append(preload_init);

            mul_post_inc_stmt_
                    = store_t::make(mul_var_buf_, 0, mul_var_load() + 1);
            preload_post_inc_stmt_ = store_t::make(
                    preload_var_buf_, 0, preload_var_load() + 1);
        }
    }

    bool has_var_refs() const { return has_var_refs_; }

    expr_t mul_var_load() const {
        return load_t::make(var.type(), mul_var_buf_, 0);
    }
    expr_t preload_var_load() const {
        return load_t::make(var.type(), preload_var_buf_, 0);
    }

    stmt_t inject_alloc_stmts(const stmt_t &stmt) const {
        return jit::inject_alloc_stmts(stmt, allocs_);
    }

    const stmt_t &init_stmt() const { return init_stmt_; }

    const stmt_t &mul_post_inc_stmt() const { return mul_post_inc_stmt_; }
    const stmt_t &preload_post_inc_stmt() const {
        return preload_post_inc_stmt_;
    }

private:
    bool has_var_refs_ = false;

    // Helper expressions/statements to partially unroll the loop.
    expr_t mul_var_buf_;
    expr_t preload_var_buf_;
    std::vector<stmt_t> allocs_;
    stmt_t init_stmt_;
    stmt_t mul_post_inc_stmt_;
    stmt_t preload_post_inc_stmt_;
};

class compute_loop_nest_visitor_t : public ir_visitor_t {
public:
    int compute_loop_level() const { return compute_loop_level_; }

    const std::vector<loop_info_t> &loops() const { return loops_; }

    void _visit(const stmt_group_t &obj) override {
        bool is_compute_loop = (obj.label == stmt_label_t::compute_loop());
        if (is_compute_loop) {
            in_compute_loop_ = true;
            compute_loop_level_ = level_;
        }
        ir_visitor_t::_visit(obj);
        if (is_compute_loop) in_compute_loop_ = false;
    }

    void _visit(const for_t &obj) override {
        level_++;
        ir_visitor_t::_visit(obj);
        if (in_compute_loop_) loops_.emplace_back(obj);
        level_--;
    }

private:
    bool in_compute_loop_ = false;
    int compute_loop_level_ = -1;
    std::vector<loop_info_t> loops_;
    int level_ = 0;
};

// Helper class to work with loop nest of the compute loop.
class compute_loop_nest_t {
public:
    compute_loop_nest_t() = default;

    compute_loop_nest_t(const stmt_t &root, ir_context_t &ir_ctx)
        : root_(root) {
        compute_loop_nest_visitor_t visitor;
        visitor.visit(root);

        compute_loop_level_ = visitor.compute_loop_level();
        loops_ = visitor.loops();

        if (loops_.empty()) {
            outer_loop_size_ = 1;
            return;
        }

        outer_loop_ = outer_loop_info_t(loops_.back().stmt, ir_ctx);
        outer_loop_size_ = outer_loop_.size();
    }

    // Returns the loop level of the compute_loop statement group corresponding
    // to the number of outer loops.
    int compute_loop_level() const { return compute_loop_level_; }

    // Returns loops inside compute_loop statement group.
    const std::vector<loop_info_t> &loops() const { return loops_; }

    // Number of iterations of all loops.
    int size() const {
        int ret = 1;
        for (auto &l : loops_)
            ret *= l.size();
        return ret;
    }

    // Number of iterations in the outermost loop (see comments in ctor).
    int outer_loop_size() const { return outer_loop_size_; }

    const outer_loop_info_t &outer_loop_info() const { return outer_loop_; }

    template <typename F>
    void for_each_loop_var(const F &f) const {
        for (auto &l : loops_)
            f(l.var);
    }

    // Number of iterations of all loops except the outermost.
    int inner_loops_size() const { return size() / outer_loop_size(); }

private:
    stmt_t root_;
    int compute_loop_level_ = -1;
    std::vector<loop_info_t> loops_;

    int outer_loop_size_;
    outer_loop_info_t outer_loop_;
};

struct compute_params_t {
    compute_params_t() = default;

    compute_params_t(int slm_bufs, int gmem_bufs, int slm_buf_size,
            int prefetch_bufs, int inner_loops_iters)
        : slm_bufs(slm_bufs)
        , gmem_bufs(gmem_bufs)
        , slm_buf_size(slm_buf_size)
        , prefetch_bufs(prefetch_bufs)
        , use_slm(slm_buf_size > 0)
        , use_prefetch(prefetch_bufs > 0) {
        gpu_assert(!use_slm || !use_prefetch)
                << "Can't have both SLM buffering and prefetch enabled.";
        if (use_slm) {
            gpu_assert(utils::one_of(slm_bufs, 1, 2, 3));
            gpu_assert(utils::one_of(gmem_bufs, 1, 2));
            preload_bufs = slm_bufs;
            unroll = math::lcm(slm_bufs * gmem_bufs, inner_loops_iters);
        } else if (use_prefetch) {
            preload_bufs = prefetch_bufs;
            gpu_assert(slm_bufs == 0);
            gpu_assert(gmem_bufs == 0);
            unroll = math::lcm(prefetch_bufs, inner_loops_iters);
        } else {
            preload_bufs = 0;
            gpu_assert(slm_bufs == 0);
            gpu_assert(gmem_bufs == 0);
            unroll = inner_loops_iters;
        }
    }

    int slm_bufs;
    int gmem_bufs;
    int slm_buf_size;
    int prefetch_bufs;
    int preload_bufs;
    int unroll;

    bool use_slm;
    bool use_prefetch;
};

// Helper class to implement SLM buffering.
class compute_iterator_t {
public:
    compute_iterator_t(const compute_params_t &params,
            const compute_loop_nest_t &loop_nest)
        : params(params)
        , preload_loop_it(loop_nest.loops())
        , mul_loop_it(loop_nest.loops()) {

        int compute_iters = loop_nest.size();
        iters = compute_iters;
        gpu_assert(iters >= 1) << "Empty loop is not expected.";

        iters += std::max(0, preload_bufs() - 1) + std::max(0, gmem_bufs() - 1);
        ramp_up_iters
                = std::max(1, preload_bufs() + std::max(0, gmem_bufs() - 1));
        ramp_down_iters = std::min(
                std::max(0, preload_bufs() - 1) + std::max(0, gmem_bufs() - 1),
                iters - ramp_up_iters);
        body_iters = iters - ramp_up_iters - ramp_down_iters;
        body_iters = utils::rnd_dn(body_iters, params.unroll);
        ramp_down_iters = iters - ramp_up_iters - body_iters;

        gpu_assert(ramp_up_iters + body_iters + ramp_down_iters == iters);

        iter = 0;
        linear_id = 0;
        riter = iters - 1;
    }

    int unroll() const { return params.unroll; }

    int preload_bufs() const { return params.preload_bufs; }

    int slm_bufs() const { return params.slm_bufs; }

    int gmem_bufs() const { return params.gmem_bufs; }

    compute_iterator_t &operator++() {
        if (do_preload()) preload_loop_it.advance();
        if (do_mul()) mul_loop_it.advance();
        ++iter;
        ++linear_id;
        --riter;
        return *this;
    }

    void advance(int n) {
        if (n == 0) return;

        gpu_assert(n % params.unroll == 0);
        gpu_assert(iter + n <= iters);

        if (preload_bufs() > 0) gpu_assert(do_preload());
        gpu_assert(do_mul());

        iter += n;
        riter -= n;

        if (preload_bufs() > 0) preload_loop_it.advance(n);
        mul_loop_it.advance(n);
    }

    bool do_mul() const {
        return iter >= std::max(0, preload_bufs() - 1)
                + std::max(0, gmem_bufs() - 1);
    }

    bool is_first_mul() const {
        return iter
                == std::max(0, preload_bufs() - 1)
                + std::max(0, gmem_bufs() - 1);
    }
    bool is_last_mul() const { return riter == 0; }

    bool is_last_g2s_store() const {
        if (!do_g2s_store()) return false;
        return riter == slm_bufs() - 1;
    }

    bool is_last_preload() const {
        if (!do_preload()) return false;
        return riter == (preload_bufs() - 1) + std::max(0, gmem_bufs() - 1);
    }

    bool is_last_g2s_load() const {
        if (!do_g2s_load()) return false;
        return is_last_preload();
    }

    bool is_last_prefetch() const {
        if (!do_prefetch()) return false;
        return is_last_preload();
    }

    bool do_preload() const {
        if (preload_bufs() == 0) return false;
        return riter >= (preload_bufs() - 1) + std::max(0, gmem_bufs() - 1);
    }

    bool do_prefetch() const {
        if (!params.use_prefetch) return false;
        return do_preload();
    }

    bool do_g2s_load() const {
        if (!params.use_slm) return false;
        return do_preload();
    }

    bool do_g2s_store() const {
        if (!params.use_slm) return false;
        gpu_assert(gmem_bufs() >= 1);
        return iter >= (gmem_bufs() - 1) && riter >= (slm_bufs() - 1);
    }

    int gmem_write_buf_index() const {
        gpu_assert(do_g2s_load());
        return iter % gmem_bufs();
    }

    int gmem_read_buf_index() const {
        gpu_assert(do_g2s_store());
        return (iter - (gmem_bufs() - 1)) % gmem_bufs();
    }

    int slm_read_offset_update() const {
        gpu_assert(params.use_slm);
        gpu_assert(do_mul());

        int slm_iter = iter - (gmem_bufs() - 1) - (slm_bufs() - 1);
        int cur_slm_idx = slm_iter % slm_bufs();
        int next_slm_idx = (slm_iter + 1) % slm_bufs();
        int ret = next_slm_idx * params.slm_buf_size
                - cur_slm_idx * params.slm_buf_size;
        return ret;
    }

    int slm_write_offset_update() const {
        gpu_assert(params.use_slm);
        gpu_assert(do_g2s_store());

        int slm_iter = iter - (gmem_bufs() - 1);
        int cur_slm_idx = slm_iter % slm_bufs();
        int next_slm_idx = (slm_iter + 1) % slm_bufs();
        int ret = next_slm_idx * params.slm_buf_size
                - cur_slm_idx * params.slm_buf_size;
        return ret;
    }

    compute_params_t params;
    multi_loop_iterator_t preload_loop_it;
    multi_loop_iterator_t mul_loop_it;

    // ramp_up_iters + body_iters + ramp_down_iters == iters
    int iters;
    int ramp_up_iters;
    int body_iters;
    int ramp_down_iters;

    // Invariant: iter + riter = iters - 1
    int iter;
    int riter;

    int linear_id;
};

// Basic LRU SBID allocator, tries to use the same SBIDs for the same GRF
// buffers.
class sbid_manager_t {
public:
    sbid_manager_t(const dsl::hw_t &hw = dsl::hw_t(), const int regs = 128)
        : sbid_count_(ngen::tokenCount(hw, regs))
        , tuple_func_(builtin_t::make("tuple")) {
        gpu_assert(sbid_count_ <= max_sbid_count);
    }

    ngen::SBID get_sbid(const expr_t &buf, int index = 0) {
        auto key = tuple_func_.call({buf, expr_t(index)});

        int free_idx = -1;
        for (int i = 0; i < sbid_count_; i++) {
            auto &e = entries_[i];
            if (key.is_equal(e.key)) {
                e.time = cur_time_++;
                return ngen::SBID(i);
            }
            if (free_idx == -1 && e.key.is_empty()) free_idx = i;
        }

        // Not found but there is a free SBID.
        if (free_idx != -1) {
            entries_[free_idx] = {key, cur_time_++};
            return ngen::SBID(free_idx);
        }

        // Find the oldest SBID and use it.
        int old_idx = 0;
        int old_time = entries_[0].time;
        for (int i = 1; i < sbid_count_; i++) {
            if (entries_[i].time < old_time) {
                old_idx = i;
                old_time = entries_[i].time;
            }
        }

        entries_[old_idx] = entry_t({std::move(key), cur_time_++});
        return ngen::SBID(old_idx);
    }

private:
    struct entry_t {
        stmt_t key;
        int time;
    };

    static const int max_sbid_count = 32;
    std::array<entry_t, max_sbid_count> entries_;

    int sbid_count_ = 0;
    func_t tuple_func_;
    int cur_time_ = 0;
};

// Helper to assign SBIDs to IR function calls.
class sbid_assigner_t {
public:
    sbid_assigner_t(const dsl::hw_t &hw) : local_sbid_mgr_(hw) {}

    sbid_assigner_t(sbid_manager_t &external_sbid_mgr)
        : external_sbid_mgr_(&external_sbid_mgr) {}

    stmt_t assign(const stmt_t &stmt) {
        auto stmt_vec = flatten_statements(stmt);
        stmt_t ret = stmt;
        int prefetch_idx = 0;
        for (auto &_s : stmt_vec) {
            if (!_s.is<func_call_t>()) continue;
            auto s = _s;
            if (is_func_call<send_t>(s)) {
                auto &send = s.as<func_call_t>().func.as<send_t>();
                int idx = (send.is_prefetch() || send.is_prefetch_2d()
                                ? prefetch_idx++
                                : 0);
                auto sbid = get_sbid(send_t::arg_reg_buf(s), idx);
                s = update_call_with_sbid(s, sbid);
            } else if (is_func_call<dpas_t>(s)) {
                auto &c = s.as<func_call_t>();
                auto *mod_attr = c.attr.as_ptr<instruction_modifier_attr_t>();
                if (!c.func.as<dpas_t>().is_dp4a() && // dp4a-s do not need SBID
                        (!mod_attr || !mod_attr->mod.isAtomic())) {
                    // Last dpas in Atomic chain.
                    auto sbid = get_sbid(dpas_t::arg_src1(s));
                    s = update_call_with_sbid(s, sbid);
                }
            } else if (s.is<func_call_t>()) {
                auto &c = s.as<func_call_t>();
                if (c.func.is_same(funcs::signal_func())
                        || c.func.is_same(funcs::slm_fence_func())
                        || c.func.is_same(funcs::barrier_func())) {
                    // Use 0 as the key for signals and SLM fences.
                    auto sbid = get_sbid(expr_t(0));
                    s = update_call_with_sbid(s, sbid);
                }
            } else {
                gpu_error_not_expected() << s;
            }
            ret = substitute(ret, _s, s);
        }
        return ret;
    }

private:
    ngen::SBID get_sbid(const expr_t &ptr, int index = 0) {
        auto &sbid_mgr
                = (external_sbid_mgr_ ? *external_sbid_mgr_ : local_sbid_mgr_);
        return sbid_mgr.get_sbid(ptr, index);
    }

    static stmt_t update_call_with_sbid(
            const stmt_t &s, const ngen::SBID &sbid) {
        return instruction_modifier_attr_t::make(
                ngen::InstructionModifier(sbid))
                .apply_to(s);
    }

    sbid_manager_t local_sbid_mgr_;
    sbid_manager_t *external_sbid_mgr_ = nullptr;
};

// Work around due to limited scoping functionality in current generator
// Prepends all newly created var_t names with given prefix.
class var_prepender_t : public ir_mutator_t {
public:
    var_prepender_t(const std::string &prefix) : prefix_(prefix) {}
    object_t _mutate(const for_t &obj) override {
        auto new_obj = ir_mutator_t::_mutate(obj);
        auto new_var = var_t::make(
                obj.var.type(), prefix_ + obj.var.as<var_t>().name);
        new_obj = substitute(new_obj, obj.var, new_var);
        return new_obj;
    }
    object_t _mutate(const let_t &obj) override {
        auto new_obj = ir_mutator_t::_mutate(obj);
        auto new_var = var_t::make(
                obj.var.type(), prefix_ + obj.var.as<var_t>().name);
        new_obj = substitute(new_obj, obj.var, new_var);
        return new_obj;
    }

private:
    std::string prefix_;
};

object_t prepend_new_vars(const object_t &root, const std::string &prefix) {
    var_prepender_t mutator(prefix);
    return mutator.mutate(root);
}

// Perform pipelining operation. The goal is to transform
// the loop structure from:
//
// for i in range(init, bound):
//     A_block(i);
//     B_block(i);
//
// to the following
//
// for i in range(init, init + length):
//     A_block(i);
// for i in range(init, bound):
//     if (i < bound - length):
//         A_block(i + length);
//      B_block(i);
//
// Since A_block and B_block have to be independent to maintain correctness,
// this transform ignores the operations within the for_loop and relies on a
// correct substitution for A_block and B_block.

struct pipeline_ctx_t {
    pipeline_ctx_t(const stmt_t &prologue, const stmt_t &body)
        : prologue_(prologue), body_(body) {}
    stmt_t stmt() const { return prologue_.append(body_); }
    stmt_t prologue() { return prologue_; }
    stmt_t body() { return body_; }

private:
    stmt_t prologue_;
    stmt_t body_;
};

pipeline_ctx_t pipeline(int length, const loop_info_t &loop,
        const stmt_t &A_block, const stmt_t &B_block) {

    expr_t idx = loop.var;
    int bound = loop.bound();
    int init = loop.init();

    int pipe_len = std::min(init + length, bound);

    stmt_t prologue = prepend_new_vars(
            for_t::make(idx, init, pipe_len, A_block,
                    pipe_len <= loop.unroll() ? pipe_len : 1),
            "prefetch_");

    expr_t A_idx = idx + pipe_len;
    stmt_t body;
    if (init < (bound - pipe_len))
        body = if_t::make(
                idx < (bound - pipe_len), substitute(A_block, idx, A_idx));
    body = body.append(B_block);
    body = for_t::make(idx, init, bound, body, loop.unroll());

    return pipeline_ctx_t(prologue, body);
}

class prefetch_pipeliner_t {
public:
    prefetch_pipeliner_t(
            const stmt_t &root, const config_t &cfg, ir_context_t &ir_ctx)
        : root_(root), cfg_(cfg), ir_ctx_(ir_ctx) {}
    stmt_t inject() {
        auto compute_loop
                = find_stmt_group(root_, stmt_label_t::compute_loop());
        if (!compute_loop) return root_;
        auto loop_nest = compute_loop_nest_t(compute_loop, ir_ctx_);
        auto &loops = loop_nest.loops();

        // No loops to pipeline
        if (loops.empty()) return root_;
        auto &loop_body = loops[0].body();

        auto A_block = find_stmt_group(loop_body, stmt_label_t::prefetch());
        if (!A_block) return root_;
        auto B_block = remove_stmt_group(loop_body, stmt_label_t::prefetch());
        size_t prefetch_count = 0;
        size_t max_nested_prefetch = 2;
        for (size_t i = 0; i < loops.size(); i++) {
            if (prefetch_count < max_nested_prefetch) {
                if (!contains_object(A_block, loops[i].var)) {
                    // No point in prefetching a constant in a loop
                    B_block = for_t::make(loops[i].var, loops[i].init(),
                            loops[i].bound(), B_block, loops[i].unroll());
                    continue;
                }

                auto next = pipeline(
                        cfg_.prefetch().bufs(), loops[i], A_block, B_block);
                A_block = next.prologue();
                B_block = next.body();
                prefetch_count++;

            } else {
                B_block = for_t::make(loops[i].var, loops[i].init(),
                        loops[i].bound(), A_block.append(B_block),
                        loops[i].unroll());
                A_block = stmt_t();
            }
        }
        return substitute(root_, compute_loop, A_block.append(B_block));
    }

private:
    stmt_t root_;
    const config_t &cfg_;
    ir_context_t &ir_ctx_;
};

stmt_t inject_prefetch_pipeline(
        const stmt_t &s, ir_context_t &ir_ctx, const config_t &cfg) {
    ir::trace_start();
    auto ret = prefetch_pipeliner_t(s, cfg, ir_ctx).inject();
    ir::trace_pass("inject_prefetch_pipeline", ret, ir_ctx);
    return ret;
}

// Helper class to handle synchronization between threads for cooperative SLM
// load and stores for double and triple buffering. Name conventions:
// - Lx step - load from global memory to GRF (to be stored in SLM buffer x)
// - Mx step - load from SLM buffer x to GRF and multiplication
// - Sx step - store from GRF to SLM buffer x
// - Rx event - SLM buffer x is available for reading
// - Wx event - SLM buffer x is available for writing
// Scheme for single buffering:
//     L0
//     barrier
//     S0
//     barrier
//     M0
// Schemes for double and triple buffering are below.
class slm_sync_manager_t {
public:
    slm_sync_manager_t(const config_t &cfg, bool with_unroll)
        : slm_bufs_(cfg.slm().bufs())
        , gmem_bufs_(cfg.slm().gmem_bufs())
        , with_unroll_(with_unroll) {
        switch (slm_bufs_) {
            case 2: ver_ = version_t::x2; break;
            case 3: ver_ = version_t::x3_v3; break;
            default: ver_ = version_t::undef;
        }
        if (cfg.slm().sync_version() != -1) {
            ver_ = (version_t)cfg.slm().sync_version();
        }
        switch (slm_bufs_) {
            case 2: gpu_assert(ver_ == version_t::x2); break;
            case 3:
                gpu_assert(utils::one_of(ver_, version_t::x3_v1,
                        version_t::x3_v2, version_t::x3_v3));
                break;
            default: gpu_assert(ver_ == version_t::undef);
        }
    }

    stmt_t before_loop_prepend(const stmt_t &_s) const {
        if (with_unroll_) return _s;
        auto s = _s;
        if (is_x3_v1() || is_x3_v2() || is_x3_v3()) {
            // Emit initial signal, to match wait-signal pairs in the loop.
            s = funcs::signal().append(s);
        }
        return s;
    }

    stmt_t after_loop(const stmt_t &_s) const {
        auto s = _s;
        if (slm_bufs_ == 3) {
            s = s.append(funcs::barrier_wait());
            // Wait with V3 guarantees that all SLM writes are synced, other
            // versions need additional synchronization.
            if (!is_x3_v3()) s = s.append(funcs::barrier());
        }
        return s;
    }

    stmt_t before_L(const stmt_t &_s, bool do_mul) const {
        bool emit = false;
        if (!with_unroll_) emit = true;
        if (with_unroll_ && do_mul) emit = true;

        auto s = _s;
        if (is_x3_v2() && emit) { s = s.append(funcs::barrier_wait()); }

        return s;
    }

    stmt_t before_L_prepend(const stmt_t &_s, bool do_mul) const {
        return before_L(stmt_t(), do_mul).append(_s);
    }

    stmt_t after_L(const stmt_t &_s, bool do_mul) const {
        bool emit = false;
        if (!with_unroll_) emit = true;
        if (with_unroll_ && do_mul) emit = true;

        auto s = _s;
        if (is_x3_v1() && emit) s = s.append(funcs::barrier_wait());
        return s;
    }

    stmt_t after_L_prepend(const stmt_t &_s, bool do_mul) const {
        return after_L(stmt_t(), do_mul).append(_s);
    }

    stmt_t before_S(const stmt_t &_s, bool do_mul, bool is_last_mul = false,
            int iter = -1) const {
        bool emit = false;
        if (!with_unroll_) emit = true;
        if (with_unroll_ && iter != -1
                && iter >= (slm_bufs_ - 1) + (gmem_bufs_ - 1) - 1)
            emit = true;

        auto s = _s;
        if (is_x3_v3() && emit) {
            s = s.append(funcs::barrier_wait());
        } else if ((is_x3_v1() || is_x3_v2()) && emit) {
            // In general we have to use SLM fence before signal to flush all
            // previous SLM stores. However any SLM load behaves as implicit
            // SLM fence for all previous SLM stores. This means we don't need
            // explicit SLM fence when we perform SLM load/multiplication
            // before signal.
            if (!do_mul) s = s.append(funcs::slm_fence());
            if (!is_last_mul) s = s.append(funcs::signal());
        }
        return s;
    }

    stmt_t after_S(
            const stmt_t &_s, bool is_last_mul = false, int iter = -1) const {
        auto s = _s;
        if (is_x2()) {
            s = s.append(funcs::barrier());
        } else if (is_x3_v3()) {
            bool emit = false;
            if (!with_unroll_) emit = true;
            if (with_unroll_ && !is_last_mul && iter != -1
                    && iter >= (slm_bufs_ - 1) + (gmem_bufs_ - 1) - 2)
                emit = true;
            if (emit) {
                s = s.append(funcs::slm_fence());
                s = s.append(funcs::signal());
            }
        }
        return s;
    }

    bool is_x2() const { return ver_ == version_t::x2; }
    bool is_x3_v1() const { return ver_ == version_t::x3_v1; }
    bool is_x3_v2() const { return ver_ == version_t::x3_v2; }
    bool is_x3_v3() const { return ver_ == version_t::x3_v3; }

private:
    enum class version_t {
        undef,
        // Double buffering scheme:
        //     L0
        //     M1
        //     S0
        //     barrier
        //     L1
        //     M0
        //     S1
        //     barrier
        x2,
        // Triple buffering scheme V1 (wait before M)
        //     L0
        //     wait R1/W0
        //     M1
        //     signal R2/W1
        //     S0
        //     L1
        //     wait R2/W1
        //     M2
        //     signal R0/W2
        //     S1
        //     L2
        //     wait R0/W2
        //     M0
        //     signal R1/W0
        //     S2
        x3_v1,
        // Triple buffering scheme V2 (wait before L)
        //     wait R1/W0
        //     L0
        //     M1
        //     signal R2/W1
        //     S0
        //     wait R2/W1
        //     L1
        //     M2
        //     signal R0/W2
        //     S1
        //     wait R0/W2
        //     L2
        //     M0
        //     signal R1/W0
        //     S2
        x3_v2,
        // Triple buffering scheme V3 (signal after store)
        // There are no SLM loads between S and signal so explicit fence is
        // required.
        //     L0
        //     M1
        //     wait R2/W0
        //     S0
        //     fence and signal R0/W1
        //     L1
        //     M2
        //     wait R0/W1
        //     S1
        //     fence and signal R1/W2
        //     L2
        //     M0
        //     wait R1/W2
        //     S2
        //     fence and signal R2/W0
        x3_v3
    };

    int slm_bufs_;
    int gmem_bufs_;
    bool with_unroll_;
    version_t ver_;
};

static bool assign_sbids(const config_t &cfg) {
    return cfg.is_dpas_or_dpasw_fma();
}

class simple_slm_buffering_injector_t {
public:
    simple_slm_buffering_injector_t(const stmt_t &root, ir_context_t &ir_ctx,
            const config_t &cfg, int ab_slm_size)
        : ir_ctx_(ir_ctx)
        , cfg_(cfg)
        , ab_slm_size_(ab_slm_size)
        , root_(root)
        , alloc_mgr_(root_)
        , step_(root)
        , loop_nest_(root, ir_ctx)
        , slm_sync_mgr_(cfg, /*with_unroll=*/false) {}

    stmt_t inject() {
        gpu_assert(cfg_.slm().gmem_bufs() == 1)
                << "GRF buffering is not supported.";
        if (utils::one_of(cfg_.slm().bufs(), 0, 1)) return root_;

        gpu_assert(cfg_.slm().a() == cfg_.slm().b())
                << "Mixed SLM/GMEM loads are not supported.";

        auto loop = step_.compute_loop();

        // SLM indices are allocated as follows:
        // slm_idx[0] -> slm_buf_store
        // slm_idx[1] -> slm_buf_compute
        // slm_idx[2] -> slm_counter
        auto slm_idx_buf = ir_ctx_.create_tmp_var(
                dsl::type_t::byte(dsl::type::attr_t::ptr), "slm_idx");
        int slm_idx_size = dsl::type_t::s32().size();

        auto slm_idx_load = [&](int off, int elems) {
            return load_t::make(
                    dsl::type_t::s32(elems), slm_idx_buf, slm_idx_size * off);
        };

        // Initialize slm_idx.
        int off = 0;
        auto store0 = store_t::make(slm_idx_buf, off, 0);
        off += slm_idx_size;

        auto store1 = store_t::make(slm_idx_buf, off, 1);
        off += slm_idx_size;

        auto store2 = store_t::make(
                slm_idx_buf, off, int_imm_t::make(0, dsl::type_t::s32()));

        auto slm_idx_init = store0.append(store1).append(store2);

        auto slm_idx_load2 = slm_idx_load(0, 2);
        auto slm_idx_load4 = slm_idx_load(0, 4);
        auto slm_idx_store = store_t::make(slm_idx_buf, 0,
                slm_idx_load4 + shuffle_t::make_broadcast(1, 4));

        // Update slm_idx.
        auto mask = (slm_idx_load2
                == shuffle_t::make_broadcast(cfg_.slm().bufs(), 2));
        auto slm_idx_store_fix = store_t::make(slm_idx_buf, 0,
                shuffle_t::make_broadcast(
                        int_imm_t::make(0, dsl::type_t::s32()), 2),
                store_t::default_stride, mask);

        auto slm_idx_update = slm_idx_store.append(slm_idx_store_fix);

        loop = slm_idx_init.append(loop);

        auto &g2s_load_orig = step_.g2s_load();
        auto &g2s_store_orig = step_.g2s_store();
        auto &s2r_load = step_.s2r_load();
        auto &mul = step_.mul();

        auto g2s_load = g2s_load_orig;
        auto g2s_store = g2s_store_orig;

        gpu_assert(s2r_load.size() == mul.size());

        stmt_t s2r_mul;
        for (int i = 0; i < int(mul.size()); i++) {
            s2r_mul = s2r_mul.append(s2r_load[i]);
            loop = substitute(loop, s2r_load[i], stmt_t(), 1);
            s2r_mul = s2r_mul.append(mul[i]);
            loop = substitute(loop, mul[i], stmt_t(), 1);
        }

        loop = remove_synchronization(loop);

        s2r_mul = sub_slm_bufs(s2r_mul, slm_idx_load(1, 1));
        g2s_store = sub_slm_bufs(g2s_store, slm_idx_load(0, 1));
        g2s_store = g2s_store.append(slm_idx_update);

        auto s2r_mul_body = s2r_mul;
        auto s2r_mul_tail = std::move(s2r_mul);
        auto slm_counter = slm_idx_load(2, 1);
        auto cond = (slm_counter >= cfg_.slm().bufs() - 1);

        if (cfg_.slm().bufs() == 2) {
            s2r_mul_body = if_t::make(cond, s2r_mul_body);
        } else {
            // In general we have to use SLM fence before signal to flush all
            // previous SLM stores. However any SLM load behaves as implicit
            // SLM fence for all previous SLM stores. This means we don't need
            // explicit SLM fence when we perform SLM load/multiplication
            // before signal.
            auto with_mul = slm_sync_mgr_.before_S(s2r_mul_body, true);
            auto without_mul = slm_sync_mgr_.before_S(stmt_t(), false);
            s2r_mul_body = if_t::make(cond, with_mul, without_mul);
        }

        g2s_store = slm_sync_mgr_.after_S(g2s_store);
        g2s_load = slm_sync_mgr_.before_L_prepend(g2s_load, true);
        g2s_load = slm_sync_mgr_.after_L(g2s_load, true);

        if (!g2s_load.is_same(g2s_load_orig)) {
            loop = substitute(loop, g2s_load_orig, g2s_load, 1);
        }

        loop = substitute(
                loop, g2s_store_orig, s2r_mul_body.append(g2s_store), 1);

        loop = slm_sync_mgr_.before_loop_prepend(loop);

        // Complete the remaining iterations.
        int slm_bufs = cfg_.slm().bufs();
        int rem_iters = slm_bufs - 1;
        int mul_start = std::max(0, rem_iters - loop_nest_.size());
        multi_loop_iterator_t multi(loop_nest_.loops());
        multi.advance(loop_nest_.size() - rem_iters + mul_start);

        loop = slm_sync_mgr_.after_loop(loop);
        for (int i = 0; i < rem_iters; i++) {
            if (i >= mul_start) {
                auto tmp_mul_tail = s2r_mul_tail;
                loop_nest_.for_each_loop_var([&](const expr_t &v) {
                    expr_t iter(multi.var_value(v));
                    tmp_mul_tail = substitute(tmp_mul_tail, v, iter);
                });
                // SLM load/multiplication works as implicit SLM fence.
                loop = loop.append(tmp_mul_tail);
                multi.advance();
            }
            loop = loop.append(slm_idx_update);
        }

        if (assign_sbids(cfg_))
            loop = sbid_assigner_t(ir_ctx_.hw()).assign(loop);

        const auto grf_size = ir_ctx_.hw().grf_size();
        loop = alloc_t::make(slm_idx_buf, grf_size, alloc_kind_t::grf, loop);

        alloc_updater_t alloc_updater;
        auto slm_buffers = alloc_mgr_.find_buffers(alloc_kind_t::slm);
        gpu_assert(slm_buffers.size() == 1);
        auto &slm_buf = slm_buffers[0];
        int non_ab_slm_size = alloc_mgr_.alloc_size(slm_buf) - ab_slm_size_;
        alloc_updater.resize(
                slm_buf, non_ab_slm_size + ab_slm_size_ * slm_bufs);

        auto ret = substitute(root_, step_.compute_loop(), loop, 1);
        ret = alloc_updater.update(ret);
        return ret;
    }

    static stmt_t remove_synchronization(const stmt_t &s) {
        auto ret = s;
        for (auto &_c : find_objects<func_call_t>(s)) {
            auto &c = _c.as<func_call_t>();
            if (c.func.is_same(funcs::signal_func())
                    || c.func.is_same(funcs::slm_fence_func())
                    || c.func.is_same(funcs::barrier_func())) {
                ret = substitute(ret, _c, stmt_t(), 1);
            }
        }
        return ret;
    }

    stmt_t sub_slm_bufs(const stmt_t &stmt, const expr_t &slm_idx) const {
        auto stmt_vec = flatten_statements(stmt);

        stmt_t ret = stmt;
        for (auto &s : stmt_vec) {
            if (!is_func_call<send_t>(s)) continue;

            auto &send = s.as<func_call_t>().func.as<send_t>();

            // This is not send to SLM, skip.
            if (!send.is_slm()) continue;

            auto new_args = s.as<func_call_t>().args;
            send_t::arg_mem_off(new_args) += ab_slm_size_ * slm_idx;
            auto new_send = send.call(new_args);
            ret = substitute(ret, s, new_send, 1);
        }

        return ret;
    }

    ir_context_t &ir_ctx_;
    const config_t &cfg_;
    int ab_slm_size_;

    stmt_t root_;
    alloc_manager_t alloc_mgr_;
    compute_step_t step_;
    compute_loop_nest_t loop_nest_;
    slm_sync_manager_t slm_sync_mgr_;
};

stmt_t inject_simple_slm_buffering(const stmt_t &s, ir_context_t &ir_ctx,
        const config_t &cfg, int ab_slm_size) {
    ir::trace_start();
    auto ret = simple_slm_buffering_injector_t(s, ir_ctx, cfg, ab_slm_size)
                       .inject();
    ir::trace_pass("inject_simple_slm_buffering", ret, ir_ctx);
    return ret;
}

class unrolling_injector_t {
public:
    unrolling_injector_t(const stmt_t &root, const config_t &cfg,
            ir_context_t &ir_ctx, int ab_slm_size)
        : cfg_(cfg)
        , ir_ctx_(ir_ctx)
        , ab_slm_size_(ab_slm_size)
        , root_(root)
        , alloc_mgr_(root_)
        , step_(root)
        , loop_nest_(root, ir_ctx)
        , slm_sync_mgr_(cfg, /*with_unroll=*/true) {
        int inner_iters = loop_nest_.inner_loops_size();
        params_ = compute_params_t(cfg_.slm().bufs(), cfg_.slm().gmem_bufs(),
                ab_slm_size, cfg_.prefetch().bufs(), inner_iters);
        if (params_.use_slm) {
            for (auto &b :
                    find_send_buffers(step_.g2s_load(), /*is_mem=*/false)) {
                g2s_reg_bufs_.emplace_back(b, alloc_mgr_.alloc_size(b));
            }
        }

        // Can't fuse top-level zero-out statement unless the compute loop is
        // top-level as well.
        fuse_zero_out_with_fma_ = (loop_nest_.compute_loop_level() == 0);
    }

    stmt_t inject() {
        compute_iterator_t it(params_, loop_nest_);
        stmt_t body;

        sbid_manager_t sbid_mgr(cfg_.hw(), cfg_.regs());

        auto &outer_loop_info = loop_nest_.outer_loop_info();

        auto append_outer_post_inc = [&](const stmt_t &_s) {
            auto &mul = outer_loop_info.mul_post_inc_stmt();
            auto &preload = outer_loop_info.preload_post_inc_stmt();
            auto s = _s;
            if (it.mul_loop_it.is_outer_loop_end() && it.do_mul()) {
                s = s.append(mul);
            }
            if (it.preload_loop_it.is_outer_loop_end() && it.do_preload()) {
                s = s.append(preload);
            }
            return s;
        };

        bmnk_dim_helper_t h(cfg_);
        dim_t k_iter_blk = h.iter_dim(pvars::k);
        dim_t reduce_iter_bytes = k_iter_blk * cfg_.prb().a_data_type_size;
        // Add periodic signal-wait thread group synchronization in some cases.
        // This is to ensure threads access close reduction blocks and able to
        // reuse their common data from L1.
        bool do_sync
                = (cfg_.hw() >= ngen::HW::XeHPC) && (reduce_iter_bytes > 32);
        if (cfg_.slm()) do_sync = false;
        // Distance in iterations between signal and wait.
        int sync_dist = 3;

        // Ramp-up.
        for (int i = 0; i < it.ramp_up_iters; i++) {
            body = stmt_seq_t::make(body, create_iteration(it, sbid_mgr));
            body = append_outer_post_inc(body);
            ++it;
        }

        // Body.
        if (it.body_iters > 0) {
            int extent = it.body_iters / it.unroll();
            bool has_loop = (extent > 1);

            stmt_t loop_body;
            bool do_sync_wait = false;
            for (int i = 0; i < it.unroll(); i++) {
                if (do_sync && i % sync_dist == 0) {
                    loop_body = loop_body.append(do_sync_wait
                                    ? funcs::barrier_wait()
                                    : funcs::signal());
                    do_sync_wait = !do_sync_wait;
                }
                loop_body = loop_body.append(create_iteration(
                        it, sbid_mgr, /*in_loop_body=*/has_loop));
                gpu_assert(it.do_mul());
                loop_body = append_outer_post_inc(loop_body);
                ++it;
            }
            if (do_sync && do_sync_wait)
                loop_body = loop_body.append(funcs::barrier_wait());
            if (!has_loop) {
                body = body.append(loop_body);
            } else {
                gpu_assert(extent > 0);
                auto for_var = ir_ctx_.create_tmp_var(dsl::type_t::s32(), "i");
                body = body.append(for_t::make(for_var, 0, extent, loop_body));
            }
            it.advance(it.body_iters - it.unroll());
        }

        // Ramp-down.
        for (int i = 0; i < it.ramp_down_iters; i++) {
            gpu_assert(it.do_mul());
            body = body.append(create_iteration(it, sbid_mgr));
            body = append_outer_post_inc(body);
            ++it;
        }

        if (outer_loop_info.has_var_refs()) {
            body = outer_loop_info.init_stmt().append(body);
            body = outer_loop_info.inject_alloc_stmts(body);
        }

        // When compute loop is part of outer loop and SLM buffering is used
        // then synchronization is required between outer iterations.
        if (loop_nest_.compute_loop_level() != 0 && params_.use_slm) {
            body = funcs::barrier().append(body);
        }

        body = stmt_group_t::make(stmt_label_t::compute_loop(), body);
        auto ret = substitute(root_, step_.compute_loop(), body, 1);

        if (params_.use_slm) {
            alloc_updater_t alloc_updater;

            // Update buffer sizes.
            for (auto &b : g2s_reg_bufs_) {
                alloc_updater.resize(b.buf,
                        alloc_mgr_.alloc_size(b.buf) * cfg_.slm().gmem_bufs());
            }

            auto slm_buffers = alloc_mgr_.find_buffers(alloc_kind_t::slm);
            if (!slm_buffers.empty()) {
                gpu_assert(slm_buffers.size() == 1);

                auto &slm_buf = slm_buffers[0];
                int non_ab_slm_size
                        = alloc_mgr_.alloc_size(slm_buf) - ab_slm_size_;
                alloc_updater.resize(slm_buf,
                        non_ab_slm_size + ab_slm_size_ * cfg_.slm().bufs());
            }

            ret = alloc_updater.update(ret);
        }

        // Remove zero-out statement for C (handled by sub_fma_acc_with_zero).
        if (fuse_zero_out_with_fma_)
            ret = substitute(ret, step_.c_zero_out(), stmt_t(), 1);

        return ret;
    }

private:
    struct buffer_info_t {
        buffer_info_t(const expr_t &buf, int size) : buf(buf), size(size) {}

        expr_t buf;
        int size;
    };

    stmt_t create_iteration(const compute_iterator_t &it,
            sbid_manager_t &sbid_mgr, bool in_loop_body = false) const {
        auto g2s_load = step_.g2s_load();
        auto g2s_store = step_.g2s_store();
        auto prefetch = step_.prefetch();
        auto g2r_load = step_.g2r_load();
        auto s2r_load = step_.s2r_load();
        auto mul = step_.mul();
        auto lets = step_.inner_let_stmts();
        auto &outer_loop_info = loop_nest_.outer_loop_info();

        loop_nest_.for_each_loop_var([&](const expr_t &v) {
            expr_t mul_var_value;
            expr_t preload_var_value;
            if (v.is_same(outer_loop_info.var) && in_loop_body
                    && outer_loop_info.has_var_refs()) {
                mul_var_value = outer_loop_info.mul_var_load();
                preload_var_value = outer_loop_info.preload_var_load();
            } else {
                mul_var_value = it.mul_loop_it.var_value(v);
                preload_var_value = it.preload_loop_it.var_value(v);
            }
            g2s_load = const_fold(substitute(g2s_load, v, preload_var_value));
            g2s_store = const_fold(substitute(g2s_store, v, preload_var_value));
            prefetch = const_fold(substitute(prefetch, v, preload_var_value));
            for (auto &m : mul) {
                m = const_fold(substitute(m, v, mul_var_value));
            }
            for (auto &s : g2r_load) {
                s = const_fold(substitute(s, v, mul_var_value));
            }
            for (auto &s : s2r_load) {
                if (count_object(s, v) > 0) gpu_error_not_expected();
                s = const_fold(substitute(s, v, preload_var_value));
            }
            for (int i = 0; i < int(lets.size()); i++) {
                auto &let = lets[i];
                auto &orig_let = step_.inner_let_stmts()[i];
                expr_t var_value;
                bool is_preload_let = step_.is_preload_let(orig_let);
                bool is_mul_let = step_.is_mul_let(orig_let);
                if (is_preload_let && !is_mul_let) {
                    var_value = preload_var_value;
                } else if (is_mul_let && !is_preload_let) {
                    var_value = mul_var_value;
                } else {
                    gpu_assert(count_object(let.as<let_t>().value, v) == 0)
                            << "Unexpected reference to variable " << v
                            << " from " << let;
                    continue;
                }
                let = const_fold(substitute(let, v, var_value));
            }
        });

        if (params_.use_slm) {
            g2s_load = sub_gmem_bufs(g2s_load, it, /*is_read=*/false);
            g2s_store = sub_gmem_bufs(g2s_store, it, /*is_read=*/true);

            g2s_store = sub_slm_bufs(g2s_store, it, /*is_read=*/false);
            for (auto &s : s2r_load) {
                s = sub_slm_bufs(s, it, /*is_read=*/true);
            }
        }

        if (it.is_first_mul() && fuse_zero_out_with_fma_) {
            for (auto &m : mul) {
                m = sub_fma_acc_with_zero(m);
            }
        }

        if (it.is_last_g2s_store())
            g2s_store = remove_post_inc_stores(g2s_store);
        if (it.is_last_g2s_load()) g2s_load = remove_post_inc_stores(g2s_load);
        if (it.is_last_prefetch()) prefetch = remove_post_inc_stores(prefetch);
        if (it.is_last_mul()) {
            for (auto &s : s2r_load)
                s = remove_post_inc_stores(s);
            for (auto &s : g2r_load)
                s = remove_post_inc_stores(s);
        }

        stmt_t iter_stmt;

        iter_stmt = slm_sync_mgr_.before_L(iter_stmt, it.do_mul());
        if (it.do_g2s_load()) iter_stmt = iter_stmt.append(g2s_load);
        iter_stmt = slm_sync_mgr_.after_L(iter_stmt, it.do_mul());

        if (it.do_g2s_store() && it.slm_bufs() == 1) {
            iter_stmt = iter_stmt.append(funcs::barrier());
            iter_stmt = iter_stmt.append(g2s_store);
            iter_stmt = iter_stmt.append(funcs::barrier());
        }

        if (it.do_prefetch()) iter_stmt = iter_stmt.append(prefetch);

        if (it.do_mul()) {
            for (size_t i = 0; i < mul.size(); i++) {
                iter_stmt = iter_stmt.append(g2r_load[i]);
                iter_stmt = iter_stmt.append(s2r_load[i]);
                iter_stmt = iter_stmt.append(mul[i]);
            }
        }
        iter_stmt = slm_sync_mgr_.before_S(
                iter_stmt, it.do_mul(), it.is_last_mul(), it.iter);

        if (it.do_g2s_store() && it.slm_bufs() >= 2) {
            iter_stmt = iter_stmt.append(g2s_store);
        }

        iter_stmt = slm_sync_mgr_.after_S(iter_stmt, it.is_last_mul(), it.iter);

        if (assign_sbids(cfg_))
            iter_stmt = sbid_assigner_t(sbid_mgr).assign(iter_stmt);

        iter_stmt = inject_local_let(iter_stmt, lets, it.linear_id);

        return iter_stmt;
    }

    stmt_t sub_gmem_bufs(const stmt_t &stmt, const compute_iterator_t &it,
            bool is_read) const {
        if (it.slm_bufs() == 0) return stmt;
        if (is_read && !it.do_g2s_store()) return stmt;
        if (!is_read && !it.do_g2s_load()) return stmt;

        int buf_idx = (is_read ? it.gmem_read_buf_index()
                               : it.gmem_write_buf_index());
        if (buf_idx == 0) return stmt;

        auto ret = stmt;
        for (auto &b : g2s_reg_bufs_) {
            ret = substitute(ret, b.buf, b.buf[buf_idx * b.size]);
        }
        return ret;
    }

    stmt_t sub_slm_bufs(const stmt_t &stmt, const compute_iterator_t &it,
            bool is_read) const {
        if (it.slm_bufs() <= 1) return stmt;
        if (is_read && !it.do_mul()) return stmt;
        if (!is_read && !it.do_g2s_store()) return stmt;

        int upd = (is_read ? it.slm_read_offset_update()
                           : it.slm_write_offset_update());

        auto stmt_vec = flatten_statements(stmt);

        stmt_t ret = stmt;
        for (auto &s : stmt_vec) {
            auto *call = s.as_ptr<func_call_t>();
            if (!call) continue;
            auto *func = call->func.as_ptr<send_t>();
            if (!func) continue;

            auto &send = call->func.as<send_t>();
            auto &args = call->args;
            auto &mem_buf = send_t::arg_mem_buf(args);
            auto &header_buf = send_t::arg_mem_off(args);

            // This is not send to SLM, skip.
            if (!send.is_slm()) continue;

            // May have signed offset.
            auto store_obj = send.create_offset_store(
                    header_buf, mem_buf, upd, /*is_signed_offset=*/true);
            auto &store = store_obj.as<store_t>();
            expr_t old_value
                    = load_t::make(send.address_type(), store.buf, store.off);
            auto post_inc_store = store_t::make(
                    store.buf, store.off, old_value + store.value);
            ret = substitute(ret, s, stmt_seq_t::make(s, post_inc_store), 1);
        }

        return ret;
    }

    static stmt_t sub_fma_acc_with_zero(const stmt_t &stmt) {
        auto stmt_vec = flatten_statements(stmt);

        object_eq_set_t<expr_t> seen_dst;
        stmt_t ret = stmt;
        for (auto &s : stmt_vec) {
            if (is_zero_points_call(s)) continue;
            if (is_func_call<dpas_t>(s) && !dpas_t::is_dp4a_call(s)) {
                auto &call = s.as<func_call_t>();

                auto &dst = dpas_t::arg_dst(s);
                auto src0 = expr_t(0); // Will be translated to null register.
                auto &src1 = dpas_t::arg_src1(s);
                auto &src2 = dpas_t::arg_src2(s);

                if (!seen_dst.insert(dst).second) continue;

                auto new_call = func_call_t::make(call.func,
                        {dst, std::move(src0), src1, src2}, call.attr);
                ret = substitute(ret, s, new_call, 1);
            } else if (is_func_call<mad_t>(s)) {
                auto &call = s.as<func_call_t>();

                auto &dst = mad_t::arg_dst(s);
                auto src0 = expr_t(0); // Will be translated to null register.
                auto &src1 = mad_t::arg_src1(s);
                auto &src2 = mad_t::arg_src2(s);

                if (!seen_dst.insert(dst).second) continue;

                auto new_call = func_call_t::make(call.func,
                        {dst, std::move(src0), src1, src2}, call.attr);
                ret = substitute(ret, s, new_call, 1);
            }
        }
        return ret;
    }

    static bool is_zero_points_call(const stmt_t &s) {
        auto is_zp_var = [&](const expr_t &e) {
            auto &base = get_base(e);
            auto &name = base.as<var_t>().name;
            return name.find("zp_") == 0;
        };
        if (is_func_call<dpas_t>(s)) {
            auto &src1 = dpas_t::arg_src1(s);
            auto &src2 = dpas_t::arg_src2(s);
            return is_zp_var(src1) || is_zp_var(src2);
        }
        if (is_func_call<mad_t>(s)) {
            auto &src1 = mad_t::arg_src1(s);
            auto &src2 = mad_t::arg_src2(s);
            return is_zp_var(src1) || is_zp_var(src2);
        }
        return false;
    }

    // Returns memory buffers if is_mem is true and register buffers otherwise.
    static object_set_t<expr_t> find_send_buffers(
            const stmt_t &s, bool is_mem) {
        object_set_t<expr_t> ret;
        auto calls = find_objects<func_call_t>(s);
        for (auto &_c : calls) {
            auto &c = _c.as<func_call_t>();
            if (!c.func.is<send_t>()) continue;
            auto &buf = (is_mem ? send_t::arg_mem_buf(c)
                                : send_t::arg_reg_buf(c));
            ret.insert(buf.as<ptr_t>().base);
        }
        return ret;
    }

    static stmt_t inject_local_let(const stmt_t &_s,
            const std::vector<stmt_t> &enclosed_lets, int id) {
        auto s = _s;

        // Inject let statements from the innermost loop.
        for (auto &_let : enclosed_lets) {
            auto &let = _let.as<let_t>();
            s = let_t::make(let.var, let.value, s);
        }

        // Substitute variables to avoid clashing.
        auto lets = find_objects<let_t>(s);
        for (auto &_let : lets) {
            auto &let = _let.as<let_t>();
            auto &var = let.var.as<var_t>();
            auto local_var = var_t::make(
                    var.type, var.name + "_" + std::to_string(id));
            s = substitute(s, let.var, local_var);
        }
        return s;
    }

    static stmt_t remove_post_inc_stores(const stmt_t &_s) {
        auto stores = find_objects<store_t>(_s);
        auto s = _s;
        for (auto &_store : stores) {
            auto &store = _store.as<store_t>();
            if (!contains_object(store.value, store.buf)) continue;
            s = substitute(s, store, stmt_t());
        }
        return s;
    }

    const config_t &cfg_;
    ir_context_t &ir_ctx_;
    int ab_slm_size_;

    stmt_t root_;
    alloc_manager_t alloc_mgr_;
    compute_step_t step_;
    compute_loop_nest_t loop_nest_;
    compute_params_t params_;
    slm_sync_manager_t slm_sync_mgr_;

    std::vector<buffer_info_t> g2s_reg_bufs_; // For SLM buffering.
    bool fuse_zero_out_with_fma_ = false;
};

stmt_t inject_unrolling(const stmt_t &s, ir_context_t &ir_ctx,
        const config_t &cfg, int ab_slm_size) {
    ir::trace_start();
    auto ret = unrolling_injector_t(s, cfg, ir_ctx, ab_slm_size).inject();
    ir::trace_pass("inject_unrolling", ret, ir_ctx);
    return ret;
}

} // namespace jit
} // namespace conv
} // namespace intel
} // namespace gpu
} // namespace impl
} // namespace dnnl