summaryrefslogtreecommitdiff
path: root/gcc/tree-vectorizer.h
blob: 5762e00b69ef6c3785f493bd9433da7953ff12a3 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
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
/* Vectorizer
   Copyright (C) 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012
   Free Software Foundation, Inc.
   Contributed by Dorit Naishlos <dorit@il.ibm.com>

This file is part of GCC.

GCC is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free
Software Foundation; either version 3, or (at your option) any later
version.

GCC is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
for more details.

You should have received a copy of the GNU General Public License
along with GCC; see the file COPYING3.  If not see
<http://www.gnu.org/licenses/>.  */

#ifndef GCC_TREE_VECTORIZER_H
#define GCC_TREE_VECTORIZER_H

#include "tree-data-ref.h"
#include "target.h"

typedef source_location LOC;
#define UNKNOWN_LOC UNKNOWN_LOCATION
#define EXPR_LOC(e) EXPR_LOCATION(e)
#define LOC_FILE(l) LOCATION_FILE (l)
#define LOC_LINE(l) LOCATION_LINE (l)

/* Used for naming of new temporaries.  */
enum vect_var_kind {
  vect_simple_var,
  vect_pointer_var,
  vect_scalar_var
};

/* Defines type of operation.  */
enum operation_type {
  unary_op = 1,
  binary_op,
  ternary_op
};

/* Define type of available alignment support.  */
enum dr_alignment_support {
  dr_unaligned_unsupported,
  dr_unaligned_supported,
  dr_explicit_realign,
  dr_explicit_realign_optimized,
  dr_aligned
};

/* Define type of def-use cross-iteration cycle.  */
enum vect_def_type {
  vect_uninitialized_def = 0,
  vect_constant_def = 1,
  vect_external_def,
  vect_internal_def,
  vect_induction_def,
  vect_reduction_def,
  vect_double_reduction_def,
  vect_nested_cycle,
  vect_unknown_def_type
};

#define VECTORIZABLE_CYCLE_DEF(D) (((D) == vect_reduction_def)           \
                                   || ((D) == vect_double_reduction_def) \
                                   || ((D) == vect_nested_cycle))

/* Structure to encapsulate information about a group of like
   instructions to be presented to the target cost model.  */
typedef struct _stmt_info_for_cost {
  int count;
  enum vect_cost_for_stmt kind;
  gimple stmt;
  int misalign;
} stmt_info_for_cost;

DEF_VEC_O (stmt_info_for_cost);
DEF_VEC_ALLOC_O (stmt_info_for_cost, heap);

typedef VEC(stmt_info_for_cost, heap) *stmt_vector_for_cost;

static inline void
add_stmt_info_to_vec (stmt_vector_for_cost *stmt_cost_vec, int count,
		      enum vect_cost_for_stmt kind, gimple stmt, int misalign)
{
  stmt_info_for_cost si;
  si.count = count;
  si.kind = kind;
  si.stmt = stmt;
  si.misalign = misalign;
  VEC_safe_push (stmt_info_for_cost, heap, *stmt_cost_vec, si);
}

/************************************************************************
  SLP
 ************************************************************************/
typedef void *slp_void_p;
DEF_VEC_P (slp_void_p);
DEF_VEC_ALLOC_P (slp_void_p, heap);

/* A computation tree of an SLP instance.  Each node corresponds to a group of
   stmts to be packed in a SIMD stmt.  */
typedef struct _slp_tree {
  /* Nodes that contain def-stmts of this node statements operands.  */
  VEC (slp_void_p, heap) *children;
  /* A group of scalar stmts to be vectorized together.  */
  VEC (gimple, heap) *stmts;
  /* Vectorized stmt/s.  */
  VEC (gimple, heap) *vec_stmts;
  /* Number of vector stmts that are created to replace the group of scalar
     stmts. It is calculated during the transformation phase as the number of
     scalar elements in one scalar iteration (GROUP_SIZE) multiplied by VF
     divided by vector size.  */
  unsigned int vec_stmts_size;
} *slp_tree;

DEF_VEC_P(slp_tree);
DEF_VEC_ALLOC_P(slp_tree, heap);

/* SLP instance is a sequence of stmts in a loop that can be packed into
   SIMD stmts.  */
typedef struct _slp_instance {
  /* The root of SLP tree.  */
  slp_tree root;

  /* Size of groups of scalar stmts that will be replaced by SIMD stmt/s.  */
  unsigned int group_size;

  /* The unrolling factor required to vectorized this SLP instance.  */
  unsigned int unrolling_factor;

  /* Vectorization costs associated with SLP instance.  */
  stmt_vector_for_cost body_cost_vec;

  /* Loads permutation relatively to the stores, NULL if there is no
     permutation.  */
  VEC (int, heap) *load_permutation;

  /* The group of nodes that contain loads of this SLP instance.  */
  VEC (slp_tree, heap) *loads;

  /* The first scalar load of the instance. The created vector loads will be
     inserted before this statement.  */
  gimple first_load;
} *slp_instance;

DEF_VEC_P(slp_instance);
DEF_VEC_ALLOC_P(slp_instance, heap);

/* Access Functions.  */
#define SLP_INSTANCE_TREE(S)                     (S)->root
#define SLP_INSTANCE_GROUP_SIZE(S)               (S)->group_size
#define SLP_INSTANCE_UNROLLING_FACTOR(S)         (S)->unrolling_factor
#define SLP_INSTANCE_BODY_COST_VEC(S)            (S)->body_cost_vec
#define SLP_INSTANCE_LOAD_PERMUTATION(S)         (S)->load_permutation
#define SLP_INSTANCE_LOADS(S)                    (S)->loads
#define SLP_INSTANCE_FIRST_LOAD_STMT(S)          (S)->first_load

#define SLP_TREE_CHILDREN(S)                     (S)->children
#define SLP_TREE_SCALAR_STMTS(S)                 (S)->stmts
#define SLP_TREE_VEC_STMTS(S)                    (S)->vec_stmts
#define SLP_TREE_NUMBER_OF_VEC_STMTS(S)          (S)->vec_stmts_size

/* This structure is used in creation of an SLP tree.  Each instance
   corresponds to the same operand in a group of scalar stmts in an SLP
   node.  */
typedef struct _slp_oprnd_info
{
  /* Def-stmts for the operands.  */
  VEC (gimple, heap) *def_stmts;
  /* Information about the first statement, its vector def-type, type, the
     operand itself in case it's constant, and an indication if it's a pattern
     stmt.  */
  enum vect_def_type first_dt;
  tree first_def_type;
  tree first_const_oprnd;
  bool first_pattern;
} *slp_oprnd_info;

DEF_VEC_P(slp_oprnd_info);
DEF_VEC_ALLOC_P(slp_oprnd_info, heap);


typedef struct _vect_peel_info
{
  int npeel;
  struct data_reference *dr;
  unsigned int count;
} *vect_peel_info;

typedef struct _vect_peel_extended_info
{
  struct _vect_peel_info peel_info;
  unsigned int inside_cost;
  unsigned int outside_cost;
  stmt_vector_for_cost body_cost_vec;
} *vect_peel_extended_info;

/*-----------------------------------------------------------------*/
/* Info on vectorized loops.                                       */
/*-----------------------------------------------------------------*/
typedef struct _loop_vec_info {

  /* The loop to which this info struct refers to.  */
  struct loop *loop;

  /* The loop basic blocks.  */
  basic_block *bbs;

  /* Number of iterations.  */
  tree num_iters;
  tree num_iters_unchanged;

  /* Minimum number of iterations below which vectorization is expected to
     not be profitable (as estimated by the cost model).
     -1 indicates that vectorization will not be profitable.
     FORNOW: This field is an int. Will be a tree in the future, to represent
	     values unknown at compile time.  */
  int min_profitable_iters;

  /* Is the loop vectorizable? */
  bool vectorizable;

  /* Unrolling factor  */
  int vectorization_factor;

  /* The loop location in the source.  */
  LOC loop_line_number;

  /* Unknown DRs according to which loop was peeled.  */
  struct data_reference *unaligned_dr;

  /* peeling_for_alignment indicates whether peeling for alignment will take
     place, and what the peeling factor should be:
     peeling_for_alignment = X means:
        If X=0: Peeling for alignment will not be applied.
        If X>0: Peel first X iterations.
        If X=-1: Generate a runtime test to calculate the number of iterations
                 to be peeled, using the dataref recorded in the field
                 unaligned_dr.  */
  int peeling_for_alignment;

  /* The mask used to check the alignment of pointers or arrays.  */
  int ptr_mask;

  /* The loop nest in which the data dependences are computed.  */
  VEC (loop_p, heap) *loop_nest;

  /* All data references in the loop.  */
  VEC (data_reference_p, heap) *datarefs;

  /* All data dependences in the loop.  */
  VEC (ddr_p, heap) *ddrs;

  /* Data Dependence Relations defining address ranges that are candidates
     for a run-time aliasing check.  */
  VEC (ddr_p, heap) *may_alias_ddrs;

  /* Statements in the loop that have data references that are candidates for a
     runtime (loop versioning) misalignment check.  */
  VEC(gimple,heap) *may_misalign_stmts;

  /* All interleaving chains of stores in the loop, represented by the first
     stmt in the chain.  */
  VEC(gimple, heap) *grouped_stores;

  /* All SLP instances in the loop. This is a subset of the set of GROUP_STORES
     of the loop.  */
  VEC(slp_instance, heap) *slp_instances;

  /* The unrolling factor needed to SLP the loop. In case of that pure SLP is
     applied to the loop, i.e., no unrolling is needed, this is 1.  */
  unsigned slp_unrolling_factor;

  /* Reduction cycles detected in the loop. Used in loop-aware SLP.  */
  VEC (gimple, heap) *reductions;

  /* All reduction chains in the loop, represented by the first
     stmt in the chain.  */
  VEC (gimple, heap) *reduction_chains;

  /* Hash table used to choose the best peeling option.  */
  htab_t peeling_htab;

  /* Cost data used by the target cost model.  */
  void *target_cost_data;

  /* When we have grouped data accesses with gaps, we may introduce invalid
     memory accesses.  We peel the last iteration of the loop to prevent
     this.  */
  bool peeling_for_gaps;

  /* Reductions are canonicalized so that the last operand is the reduction
     operand.  If this places a constant into RHS1, this decanonicalizes
     GIMPLE for other phases, so we must track when this has occurred and
     fix it up.  */
  bool operands_swapped;

} *loop_vec_info;

/* Access Functions.  */
#define LOOP_VINFO_LOOP(L)                 (L)->loop
#define LOOP_VINFO_BBS(L)                  (L)->bbs
#define LOOP_VINFO_NITERS(L)               (L)->num_iters
/* Since LOOP_VINFO_NITERS can change after prologue peeling
   retain total unchanged scalar loop iterations for cost model.  */
#define LOOP_VINFO_NITERS_UNCHANGED(L)     (L)->num_iters_unchanged
#define LOOP_VINFO_COST_MODEL_MIN_ITERS(L) (L)->min_profitable_iters
#define LOOP_VINFO_VECTORIZABLE_P(L)       (L)->vectorizable
#define LOOP_VINFO_VECT_FACTOR(L)          (L)->vectorization_factor
#define LOOP_VINFO_PTR_MASK(L)             (L)->ptr_mask
#define LOOP_VINFO_LOOP_NEST(L)            (L)->loop_nest
#define LOOP_VINFO_DATAREFS(L)             (L)->datarefs
#define LOOP_VINFO_DDRS(L)                 (L)->ddrs
#define LOOP_VINFO_INT_NITERS(L)           (TREE_INT_CST_LOW ((L)->num_iters))
#define LOOP_PEELING_FOR_ALIGNMENT(L)      (L)->peeling_for_alignment
#define LOOP_VINFO_UNALIGNED_DR(L)         (L)->unaligned_dr
#define LOOP_VINFO_MAY_MISALIGN_STMTS(L)   (L)->may_misalign_stmts
#define LOOP_VINFO_LOC(L)                  (L)->loop_line_number
#define LOOP_VINFO_MAY_ALIAS_DDRS(L)       (L)->may_alias_ddrs
#define LOOP_VINFO_GROUPED_STORES(L)       (L)->grouped_stores
#define LOOP_VINFO_SLP_INSTANCES(L)        (L)->slp_instances
#define LOOP_VINFO_SLP_UNROLLING_FACTOR(L) (L)->slp_unrolling_factor
#define LOOP_VINFO_REDUCTIONS(L)           (L)->reductions
#define LOOP_VINFO_REDUCTION_CHAINS(L)     (L)->reduction_chains
#define LOOP_VINFO_PEELING_HTAB(L)         (L)->peeling_htab
#define LOOP_VINFO_TARGET_COST_DATA(L)     (L)->target_cost_data
#define LOOP_VINFO_PEELING_FOR_GAPS(L)     (L)->peeling_for_gaps
#define LOOP_VINFO_OPERANDS_SWAPPED(L)     (L)->operands_swapped

#define LOOP_REQUIRES_VERSIONING_FOR_ALIGNMENT(L) \
VEC_length (gimple, (L)->may_misalign_stmts) > 0
#define LOOP_REQUIRES_VERSIONING_FOR_ALIAS(L)     \
VEC_length (ddr_p, (L)->may_alias_ddrs) > 0

#define NITERS_KNOWN_P(n)                     \
(host_integerp ((n),0)                        \
&& TREE_INT_CST_LOW ((n)) > 0)

#define LOOP_VINFO_NITERS_KNOWN_P(L)          \
NITERS_KNOWN_P((L)->num_iters)

static inline loop_vec_info
loop_vec_info_for_loop (struct loop *loop)
{
  return (loop_vec_info) loop->aux;
}

static inline bool
nested_in_vect_loop_p (struct loop *loop, gimple stmt)
{
  return (loop->inner
          && (loop->inner == (gimple_bb (stmt))->loop_father));
}

typedef struct _bb_vec_info {

  basic_block bb;
  /* All interleaving chains of stores in the basic block, represented by the
     first stmt in the chain.  */
  VEC(gimple, heap) *grouped_stores;

  /* All SLP instances in the basic block. This is a subset of the set of
     GROUP_STORES of the basic block.  */
  VEC(slp_instance, heap) *slp_instances;

  /* All data references in the basic block.  */
  VEC (data_reference_p, heap) *datarefs;

  /* All data dependences in the basic block.  */
  VEC (ddr_p, heap) *ddrs;

  /* Cost data used by the target cost model.  */
  void *target_cost_data;

} *bb_vec_info;

#define BB_VINFO_BB(B)               (B)->bb
#define BB_VINFO_GROUPED_STORES(B)   (B)->grouped_stores
#define BB_VINFO_SLP_INSTANCES(B)    (B)->slp_instances
#define BB_VINFO_DATAREFS(B)         (B)->datarefs
#define BB_VINFO_DDRS(B)             (B)->ddrs
#define BB_VINFO_TARGET_COST_DATA(B) (B)->target_cost_data

static inline bb_vec_info
vec_info_for_bb (basic_block bb)
{
  return (bb_vec_info) bb->aux;
}

/*-----------------------------------------------------------------*/
/* Info on vectorized defs.                                        */
/*-----------------------------------------------------------------*/
enum stmt_vec_info_type {
  undef_vec_info_type = 0,
  load_vec_info_type,
  store_vec_info_type,
  shift_vec_info_type,
  op_vec_info_type,
  call_vec_info_type,
  assignment_vec_info_type,
  condition_vec_info_type,
  reduc_vec_info_type,
  induc_vec_info_type,
  type_promotion_vec_info_type,
  type_demotion_vec_info_type,
  type_conversion_vec_info_type,
  loop_exit_ctrl_vec_info_type
};

/* Indicates whether/how a variable is used in the scope of loop/basic
   block.  */
enum vect_relevant {
  vect_unused_in_scope = 0,
  /* The def is in the inner loop, and the use is in the outer loop, and the
     use is a reduction stmt.  */
  vect_used_in_outer_by_reduction,
  /* The def is in the inner loop, and the use is in the outer loop (and is
     not part of reduction).  */
  vect_used_in_outer,

  /* defs that feed computations that end up (only) in a reduction. These
     defs may be used by non-reduction stmts, but eventually, any
     computations/values that are affected by these defs are used to compute
     a reduction (i.e. don't get stored to memory, for example). We use this
     to identify computations that we can change the order in which they are
     computed.  */
  vect_used_by_reduction,

  vect_used_in_scope
};

/* The type of vectorization that can be applied to the stmt: regular loop-based
   vectorization; pure SLP - the stmt is a part of SLP instances and does not
   have uses outside SLP instances; or hybrid SLP and loop-based - the stmt is
   a part of SLP instance and also must be loop-based vectorized, since it has
   uses outside SLP sequences.

   In the loop context the meanings of pure and hybrid SLP are slightly
   different. By saying that pure SLP is applied to the loop, we mean that we
   exploit only intra-iteration parallelism in the loop; i.e., the loop can be
   vectorized without doing any conceptual unrolling, cause we don't pack
   together stmts from different iterations, only within a single iteration.
   Loop hybrid SLP means that we exploit both intra-iteration and
   inter-iteration parallelism (e.g., number of elements in the vector is 4
   and the slp-group-size is 2, in which case we don't have enough parallelism
   within an iteration, so we obtain the rest of the parallelism from subsequent
   iterations by unrolling the loop by 2).  */
enum slp_vect_type {
  loop_vect = 0,
  pure_slp,
  hybrid
};


typedef struct data_reference *dr_p;
DEF_VEC_P(dr_p);
DEF_VEC_ALLOC_P(dr_p,heap);

typedef struct _stmt_vec_info {

  enum stmt_vec_info_type type;

  /* Indicates whether this stmts is part of a computation whose result is
     used outside the loop.  */
  bool live;

  /* Stmt is part of some pattern (computation idiom)  */
  bool in_pattern_p;

  /* For loads only, if there is a store with the same location, this field is
     TRUE.  */
  bool read_write_dep;

  /* The stmt to which this info struct refers to.  */
  gimple stmt;

  /* The loop_vec_info with respect to which STMT is vectorized.  */
  loop_vec_info loop_vinfo;

  /* The vector type to be used for the LHS of this statement.  */
  tree vectype;

  /* The vectorized version of the stmt.  */
  gimple vectorized_stmt;


  /** The following is relevant only for stmts that contain a non-scalar
     data-ref (array/pointer/struct access). A GIMPLE stmt is expected to have
     at most one such data-ref.  **/

  /* Information about the data-ref (access function, etc),
     relative to the inner-most containing loop.  */
  struct data_reference *data_ref_info;

  /* Information about the data-ref relative to this loop
     nest (the loop that is being considered for vectorization).  */
  tree dr_base_address;
  tree dr_init;
  tree dr_offset;
  tree dr_step;
  tree dr_aligned_to;

  /* For loop PHI nodes, the evolution part of it.  This makes sure
     this information is still available in vect_update_ivs_after_vectorizer
     where we may not be able to re-analyze the PHI nodes evolution as
     peeling for the prologue loop can make it unanalyzable.  The evolution
     part is still correct though.  */
  tree loop_phi_evolution_part;

  /* Used for various bookkeeping purposes, generally holding a pointer to
     some other stmt S that is in some way "related" to this stmt.
     Current use of this field is:
        If this stmt is part of a pattern (i.e. the field 'in_pattern_p' is
        true): S is the "pattern stmt" that represents (and replaces) the
        sequence of stmts that constitutes the pattern.  Similarly, the
        related_stmt of the "pattern stmt" points back to this stmt (which is
        the last stmt in the original sequence of stmts that constitutes the
        pattern).  */
  gimple related_stmt;

  /* Used to keep a sequence of def stmts of a pattern stmt if such exists.  */
  gimple_seq pattern_def_seq;

  /* List of datarefs that are known to have the same alignment as the dataref
     of this stmt.  */
  VEC(dr_p,heap) *same_align_refs;

  /* Classify the def of this stmt.  */
  enum vect_def_type def_type;

  /*  Whether the stmt is SLPed, loop-based vectorized, or both.  */
  enum slp_vect_type slp_type;

  /* Interleaving and reduction chains info.  */
  /* First element in the group.  */
  gimple first_element;
  /* Pointer to the next element in the group.  */
  gimple next_element;
  /* For data-refs, in case that two or more stmts share data-ref, this is the
     pointer to the previously detected stmt with the same dr.  */
  gimple same_dr_stmt;
  /* The size of the group.  */
  unsigned int size;
  /* For stores, number of stores from this group seen. We vectorize the last
     one.  */
  unsigned int store_count;
  /* For loads only, the gap from the previous load. For consecutive loads, GAP
     is 1.  */
  unsigned int gap;

  /* Not all stmts in the loop need to be vectorized. e.g, the increment
     of the loop induction variable and computation of array indexes. relevant
     indicates whether the stmt needs to be vectorized.  */
  enum vect_relevant relevant;

  /* The bb_vec_info with respect to which STMT is vectorized.  */
  bb_vec_info bb_vinfo;

  /* Is this statement vectorizable or should it be skipped in (partial)
     vectorization.  */
  bool vectorizable;

  /* For loads only, true if this is a gather load.  */
  bool gather_p;
  bool stride_load_p;
} *stmt_vec_info;

/* Access Functions.  */
#define STMT_VINFO_TYPE(S)                 (S)->type
#define STMT_VINFO_STMT(S)                 (S)->stmt
#define STMT_VINFO_LOOP_VINFO(S)           (S)->loop_vinfo
#define STMT_VINFO_BB_VINFO(S)             (S)->bb_vinfo
#define STMT_VINFO_RELEVANT(S)             (S)->relevant
#define STMT_VINFO_LIVE_P(S)               (S)->live
#define STMT_VINFO_VECTYPE(S)              (S)->vectype
#define STMT_VINFO_VEC_STMT(S)             (S)->vectorized_stmt
#define STMT_VINFO_VECTORIZABLE(S)         (S)->vectorizable
#define STMT_VINFO_DATA_REF(S)             (S)->data_ref_info
#define STMT_VINFO_GATHER_P(S)		   (S)->gather_p
#define STMT_VINFO_STRIDE_LOAD_P(S)	   (S)->stride_load_p

#define STMT_VINFO_DR_BASE_ADDRESS(S)      (S)->dr_base_address
#define STMT_VINFO_DR_INIT(S)              (S)->dr_init
#define STMT_VINFO_DR_OFFSET(S)            (S)->dr_offset
#define STMT_VINFO_DR_STEP(S)              (S)->dr_step
#define STMT_VINFO_DR_ALIGNED_TO(S)        (S)->dr_aligned_to

#define STMT_VINFO_IN_PATTERN_P(S)         (S)->in_pattern_p
#define STMT_VINFO_RELATED_STMT(S)         (S)->related_stmt
#define STMT_VINFO_PATTERN_DEF_SEQ(S)      (S)->pattern_def_seq
#define STMT_VINFO_SAME_ALIGN_REFS(S)      (S)->same_align_refs
#define STMT_VINFO_DEF_TYPE(S)             (S)->def_type
#define STMT_VINFO_GROUP_FIRST_ELEMENT(S)  (S)->first_element
#define STMT_VINFO_GROUP_NEXT_ELEMENT(S)   (S)->next_element
#define STMT_VINFO_GROUP_SIZE(S)           (S)->size
#define STMT_VINFO_GROUP_STORE_COUNT(S)    (S)->store_count
#define STMT_VINFO_GROUP_GAP(S)            (S)->gap
#define STMT_VINFO_GROUP_SAME_DR_STMT(S)   (S)->same_dr_stmt
#define STMT_VINFO_GROUP_READ_WRITE_DEPENDENCE(S)  (S)->read_write_dep
#define STMT_VINFO_GROUPED_ACCESS(S)      ((S)->first_element != NULL && (S)->data_ref_info)
#define STMT_VINFO_LOOP_PHI_EVOLUTION_PART(S) (S)->loop_phi_evolution_part

#define GROUP_FIRST_ELEMENT(S)          (S)->first_element
#define GROUP_NEXT_ELEMENT(S)           (S)->next_element
#define GROUP_SIZE(S)                   (S)->size
#define GROUP_STORE_COUNT(S)            (S)->store_count
#define GROUP_GAP(S)                    (S)->gap
#define GROUP_SAME_DR_STMT(S)           (S)->same_dr_stmt
#define GROUP_READ_WRITE_DEPENDENCE(S)  (S)->read_write_dep

#define STMT_VINFO_RELEVANT_P(S)          ((S)->relevant != vect_unused_in_scope)

#define HYBRID_SLP_STMT(S)                ((S)->slp_type == hybrid)
#define PURE_SLP_STMT(S)                  ((S)->slp_type == pure_slp)
#define STMT_SLP_TYPE(S)                   (S)->slp_type

#define VECT_MAX_COST 1000

/* The maximum number of intermediate steps required in multi-step type
   conversion.  */
#define MAX_INTERM_CVT_STEPS         3

/* The maximum vectorization factor supported by any target (V32QI).  */
#define MAX_VECTORIZATION_FACTOR 32

/* Avoid GTY(()) on stmt_vec_info.  */
typedef void *vec_void_p;
DEF_VEC_P (vec_void_p);
DEF_VEC_ALLOC_P (vec_void_p, heap);

extern VEC(vec_void_p,heap) *stmt_vec_info_vec;

void init_stmt_vec_info_vec (void);
void free_stmt_vec_info_vec (void);

/* Return a stmt_vec_info corresponding to STMT.  */

static inline stmt_vec_info
vinfo_for_stmt (gimple stmt)
{
  unsigned int uid = gimple_uid (stmt);
  if (uid == 0)
    return NULL;

  return (stmt_vec_info) VEC_index (vec_void_p, stmt_vec_info_vec, uid - 1);
}

/* Set vectorizer information INFO for STMT.  */

static inline void
set_vinfo_for_stmt (gimple stmt, stmt_vec_info info)
{
  unsigned int uid = gimple_uid (stmt);
  if (uid == 0)
    {
      gcc_checking_assert (info);
      uid = VEC_length (vec_void_p, stmt_vec_info_vec) + 1;
      gimple_set_uid (stmt, uid);
      VEC_safe_push (vec_void_p, heap, stmt_vec_info_vec, (vec_void_p) info);
    }
  else
    VEC_replace (vec_void_p, stmt_vec_info_vec, uid - 1, (vec_void_p) info);
}

/* Return the earlier statement between STMT1 and STMT2.  */

static inline gimple
get_earlier_stmt (gimple stmt1, gimple stmt2)
{
  unsigned int uid1, uid2;

  if (stmt1 == NULL)
    return stmt2;

  if (stmt2 == NULL)
    return stmt1;

  uid1 = gimple_uid (stmt1);
  uid2 = gimple_uid (stmt2);

  if (uid1 == 0 || uid2 == 0)
    return NULL;

  gcc_checking_assert (uid1 <= VEC_length (vec_void_p, stmt_vec_info_vec)
		       && uid2 <= VEC_length (vec_void_p, stmt_vec_info_vec));

  if (uid1 < uid2)
    return stmt1;
  else
    return stmt2;
}

/* Return the later statement between STMT1 and STMT2.  */

static inline gimple
get_later_stmt (gimple stmt1, gimple stmt2)
{
  unsigned int uid1, uid2;

  if (stmt1 == NULL)
    return stmt2;

  if (stmt2 == NULL)
    return stmt1;

  uid1 = gimple_uid (stmt1);
  uid2 = gimple_uid (stmt2);

  if (uid1 == 0 || uid2 == 0)
    return NULL;

  gcc_assert (uid1 <= VEC_length (vec_void_p, stmt_vec_info_vec));
  gcc_assert (uid2 <= VEC_length (vec_void_p, stmt_vec_info_vec));

  if (uid1 > uid2)
    return stmt1;
  else
    return stmt2;
}

/* Return TRUE if a statement represented by STMT_INFO is a part of a
   pattern.  */

static inline bool
is_pattern_stmt_p (stmt_vec_info stmt_info)
{
  gimple related_stmt;
  stmt_vec_info related_stmt_info;

  related_stmt = STMT_VINFO_RELATED_STMT (stmt_info);
  if (related_stmt
      && (related_stmt_info = vinfo_for_stmt (related_stmt))
      && STMT_VINFO_IN_PATTERN_P (related_stmt_info))
    return true;

  return false;
}

/* Return true if BB is a loop header.  */

static inline bool
is_loop_header_bb_p (basic_block bb)
{
  if (bb == (bb->loop_father)->header)
    return true;
  gcc_checking_assert (EDGE_COUNT (bb->preds) == 1);
  return false;
}

/* Return pow2 (X).  */

static inline int
vect_pow2 (int x)
{
  int i, res = 1;

  for (i = 0; i < x; i++)
    res *= 2;

  return res;
}

/* Alias targetm.vectorize.builtin_vectorization_cost.  */

static inline int
builtin_vectorization_cost (enum vect_cost_for_stmt type_of_cost,
			    tree vectype, int misalign)
{
  return targetm.vectorize.builtin_vectorization_cost (type_of_cost,
						       vectype, misalign);
}

/* Get cost by calling cost target builtin.  */

static inline
int vect_get_stmt_cost (enum vect_cost_for_stmt type_of_cost)
{
  return builtin_vectorization_cost (type_of_cost, NULL, 0);
}

/* Alias targetm.vectorize.init_cost.  */

static inline void *
init_cost (struct loop *loop_info)
{
  return targetm.vectorize.init_cost (loop_info);
}

/* Alias targetm.vectorize.add_stmt_cost.  */

static inline unsigned
add_stmt_cost (void *data, int count, enum vect_cost_for_stmt kind,
	       stmt_vec_info stmt_info, int misalign,
	       enum vect_cost_model_location where)
{
  return targetm.vectorize.add_stmt_cost (data, count, kind,
					  stmt_info, misalign, where);
}

/* Alias targetm.vectorize.finish_cost.  */

static inline void
finish_cost (void *data, unsigned *prologue_cost,
	     unsigned *body_cost, unsigned *epilogue_cost)
{
  targetm.vectorize.finish_cost (data, prologue_cost, body_cost, epilogue_cost);
}

/* Alias targetm.vectorize.destroy_cost_data.  */

static inline void
destroy_cost_data (void *data)
{
  targetm.vectorize.destroy_cost_data (data);
}


/*-----------------------------------------------------------------*/
/* Info on data references alignment.                              */
/*-----------------------------------------------------------------*/

/* Reflects actual alignment of first access in the vectorized loop,
   taking into account peeling/versioning if applied.  */
#define DR_MISALIGNMENT(DR)   ((int) (size_t) (DR)->aux)
#define SET_DR_MISALIGNMENT(DR, VAL)   ((DR)->aux = (void *) (size_t) (VAL))

/* Return TRUE if the data access is aligned, and FALSE otherwise.  */

static inline bool
aligned_access_p (struct data_reference *data_ref_info)
{
  return (DR_MISALIGNMENT (data_ref_info) == 0);
}

/* Return TRUE if the alignment of the data access is known, and FALSE
   otherwise.  */

static inline bool
known_alignment_for_access_p (struct data_reference *data_ref_info)
{
  return (DR_MISALIGNMENT (data_ref_info) != -1);
}

/* Source location */
extern LOC vect_location;

/*-----------------------------------------------------------------*/
/* Function prototypes.                                            */
/*-----------------------------------------------------------------*/

/* Simple loop peeling and versioning utilities for vectorizer's purposes -
   in tree-vect-loop-manip.c.  */
extern void slpeel_make_loop_iterate_ntimes (struct loop *, tree);
extern bool slpeel_can_duplicate_loop_p (const struct loop *, const_edge);
extern void vect_loop_versioning (loop_vec_info, unsigned int, bool);
extern void vect_do_peeling_for_loop_bound (loop_vec_info, tree *,
					    unsigned int, bool);
extern void vect_do_peeling_for_alignment (loop_vec_info, unsigned int, bool);
extern LOC find_loop_location (struct loop *);
extern bool vect_can_advance_ivs_p (loop_vec_info);

/* In tree-vect-stmts.c.  */
extern unsigned int current_vector_size;
extern tree get_vectype_for_scalar_type (tree);
extern tree get_same_sized_vectype (tree, tree);
extern bool vect_is_simple_use (tree, gimple, loop_vec_info,
			        bb_vec_info, gimple *,
                                tree *,  enum vect_def_type *);
extern bool vect_is_simple_use_1 (tree, gimple, loop_vec_info,
				  bb_vec_info, gimple *,
				  tree *,  enum vect_def_type *, tree *);
extern bool supportable_widening_operation (enum tree_code, gimple, tree, tree,
                                            enum tree_code *, enum tree_code *,
					    int *, VEC (tree, heap) **);
extern bool supportable_narrowing_operation (enum tree_code, tree, tree,
					     enum tree_code *,
					     int *, VEC (tree, heap) **);
extern stmt_vec_info new_stmt_vec_info (gimple stmt, loop_vec_info,
                                        bb_vec_info);
extern void free_stmt_vec_info (gimple stmt);
extern tree vectorizable_function (gimple, tree, tree);
extern void vect_model_simple_cost (stmt_vec_info, int, enum vect_def_type *,
                                    stmt_vector_for_cost *,
				    stmt_vector_for_cost *);
extern void vect_model_store_cost (stmt_vec_info, int, bool,
				   enum vect_def_type, slp_tree,
				   stmt_vector_for_cost *,
				   stmt_vector_for_cost *);
extern void vect_model_load_cost (stmt_vec_info, int, bool, slp_tree,
				  stmt_vector_for_cost *,
				  stmt_vector_for_cost *);
extern unsigned record_stmt_cost (stmt_vector_for_cost *, int,
				  enum vect_cost_for_stmt, stmt_vec_info,
				  int, enum vect_cost_model_location);
extern void vect_finish_stmt_generation (gimple, gimple,
                                         gimple_stmt_iterator *);
extern bool vect_mark_stmts_to_be_vectorized (loop_vec_info);
extern tree vect_get_vec_def_for_operand (tree, gimple, tree *);
extern tree vect_init_vector (gimple, tree, tree,
                              gimple_stmt_iterator *);
extern tree vect_get_vec_def_for_stmt_copy (enum vect_def_type, tree);
extern bool vect_transform_stmt (gimple, gimple_stmt_iterator *,
                                 bool *, slp_tree, slp_instance);
extern void vect_remove_stores (gimple);
extern bool vect_analyze_stmt (gimple, bool *, slp_tree);
extern bool vectorizable_condition (gimple, gimple_stmt_iterator *, gimple *,
                                    tree, int, slp_tree);
extern void vect_get_load_cost (struct data_reference *, int, bool,
				unsigned int *, unsigned int *,
				stmt_vector_for_cost *,
				stmt_vector_for_cost *, bool);
extern void vect_get_store_cost (struct data_reference *, int,
				 unsigned int *, stmt_vector_for_cost *);
extern bool vect_supportable_shift (enum tree_code, tree);
extern void vect_get_vec_defs (tree, tree, gimple, VEC (tree, heap) **,
			       VEC (tree, heap) **, slp_tree, int);
extern tree vect_gen_perm_mask (tree, unsigned char *);

/* In tree-vect-data-refs.c.  */
extern bool vect_can_force_dr_alignment_p (const_tree, unsigned int);
extern enum dr_alignment_support vect_supportable_dr_alignment
                                           (struct data_reference *, bool);
extern tree vect_get_smallest_scalar_type (gimple, HOST_WIDE_INT *,
                                           HOST_WIDE_INT *);
extern bool vect_analyze_data_ref_dependences (loop_vec_info, bb_vec_info,
					       int *);
extern bool vect_enhance_data_refs_alignment (loop_vec_info);
extern bool vect_analyze_data_refs_alignment (loop_vec_info, bb_vec_info);
extern bool vect_verify_datarefs_alignment (loop_vec_info, bb_vec_info);
extern bool vect_analyze_data_ref_accesses (loop_vec_info, bb_vec_info);
extern bool vect_prune_runtime_alias_test_list (loop_vec_info);
extern tree vect_check_gather (gimple, loop_vec_info, tree *, tree *,
			       int *);
extern bool vect_check_strided_load (gimple, loop_vec_info, tree *, tree *);
extern bool vect_analyze_data_refs (loop_vec_info, bb_vec_info, int *);
extern tree vect_create_data_ref_ptr (gimple, tree, struct loop *, tree,
				      tree *, gimple_stmt_iterator *,
				      gimple *, bool, bool *);
extern tree bump_vector_ptr (tree, gimple, gimple_stmt_iterator *, gimple, tree);
extern tree vect_create_destination_var (tree, tree);
extern bool vect_grouped_store_supported (tree, unsigned HOST_WIDE_INT);
extern bool vect_store_lanes_supported (tree, unsigned HOST_WIDE_INT);
extern bool vect_grouped_load_supported (tree, unsigned HOST_WIDE_INT);
extern bool vect_load_lanes_supported (tree, unsigned HOST_WIDE_INT);
extern void vect_permute_store_chain (VEC(tree,heap) *,unsigned int, gimple,
                                    gimple_stmt_iterator *, VEC(tree,heap) **);
extern tree vect_setup_realignment (gimple, gimple_stmt_iterator *, tree *,
                                    enum dr_alignment_support, tree,
                                    struct loop **);
extern void vect_transform_grouped_load (gimple, VEC(tree,heap) *, int,
                                         gimple_stmt_iterator *);
extern void vect_record_grouped_load_vectors (gimple, VEC(tree,heap) *);
extern int vect_get_place_in_interleaving_chain (gimple, gimple);
extern tree vect_get_new_vect_var (tree, enum vect_var_kind, const char *);
extern tree vect_create_addr_base_for_vector_ref (gimple, gimple_seq *,
                                                  tree, struct loop *);

/* In tree-vect-loop.c.  */
/* FORNOW: Used in tree-parloops.c.  */
extern void destroy_loop_vec_info (loop_vec_info, bool);
extern gimple vect_force_simple_reduction (loop_vec_info, gimple, bool, bool *);
/* Drive for loop analysis stage.  */
extern loop_vec_info vect_analyze_loop (struct loop *);
/* Drive for loop transformation stage.  */
extern void vect_transform_loop (loop_vec_info);
extern loop_vec_info vect_analyze_loop_form (struct loop *);
extern bool vectorizable_live_operation (gimple, gimple_stmt_iterator *,
                                         gimple *);
extern bool vectorizable_reduction (gimple, gimple_stmt_iterator *, gimple *,
                                    slp_tree);
extern bool vectorizable_induction (gimple, gimple_stmt_iterator *, gimple *);
extern tree get_initial_def_for_reduction (gimple, tree, tree *);
extern int vect_min_worthwhile_factor (enum tree_code);
extern int vect_get_known_peeling_cost (loop_vec_info, int, int *, int,
					stmt_vector_for_cost *,
					stmt_vector_for_cost *);
extern int vect_get_single_scalar_iteration_cost (loop_vec_info);

/* In tree-vect-slp.c.  */
extern void vect_free_slp_instance (slp_instance);
extern bool vect_transform_slp_perm_load (gimple, VEC (tree, heap) *,
                                          gimple_stmt_iterator *, int,
                                          slp_instance, bool);
extern bool vect_schedule_slp (loop_vec_info, bb_vec_info);
extern void vect_update_slp_costs_according_to_vf (loop_vec_info);
extern bool vect_analyze_slp (loop_vec_info, bb_vec_info);
extern bool vect_make_slp_decision (loop_vec_info);
extern void vect_detect_hybrid_slp (loop_vec_info);
extern void vect_get_slp_defs (VEC (tree, heap) *, slp_tree,
			       VEC (slp_void_p, heap) **, int);

extern LOC find_bb_location (basic_block);
extern bb_vec_info vect_slp_analyze_bb (basic_block);
extern void vect_slp_transform_bb (basic_block);

/* In tree-vect-patterns.c.  */
/* Pattern recognition functions.
   Additional pattern recognition functions can (and will) be added
   in the future.  */
typedef gimple (* vect_recog_func_ptr) (VEC (gimple, heap) **, tree *, tree *);
#define NUM_PATTERNS 10
void vect_pattern_recog (loop_vec_info, bb_vec_info);

/* In tree-vectorizer.c.  */
unsigned vectorize_loops (void);

#endif  /* GCC_TREE_VECTORIZER_H  */