Daily bump.
[gcc.git] / gcc / tree-vectorizer.c
1 /* Vectorizer
2 Copyright (C) 2003-2021 Free Software Foundation, Inc.
3 Contributed by Dorit Naishlos <dorit@il.ibm.com>
4
5 This file is part of GCC.
6
7 GCC is free software; you can redistribute it and/or modify it under
8 the terms of the GNU General Public License as published by the Free
9 Software Foundation; either version 3, or (at your option) any later
10 version.
11
12 GCC is distributed in the hope that it will be useful, but WITHOUT ANY
13 WARRANTY; without even the implied warranty of MERCHANTABILITY or
14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
15 for more details.
16
17 You should have received a copy of the GNU General Public License
18 along with GCC; see the file COPYING3. If not see
19 <http://www.gnu.org/licenses/>. */
20
21 /* Loop and basic block vectorizer.
22
23 This file contains drivers for the three vectorizers:
24 (1) loop vectorizer (inter-iteration parallelism),
25 (2) loop-aware SLP (intra-iteration parallelism) (invoked by the loop
26 vectorizer)
27 (3) BB vectorizer (out-of-loops), aka SLP
28
29 The rest of the vectorizer's code is organized as follows:
30 - tree-vect-loop.c - loop specific parts such as reductions, etc. These are
31 used by drivers (1) and (2).
32 - tree-vect-loop-manip.c - vectorizer's loop control-flow utilities, used by
33 drivers (1) and (2).
34 - tree-vect-slp.c - BB vectorization specific analysis and transformation,
35 used by drivers (2) and (3).
36 - tree-vect-stmts.c - statements analysis and transformation (used by all).
37 - tree-vect-data-refs.c - vectorizer specific data-refs analysis and
38 manipulations (used by all).
39 - tree-vect-patterns.c - vectorizable code patterns detector (used by all)
40
41 Here's a poor attempt at illustrating that:
42
43 tree-vectorizer.c:
44 loop_vect() loop_aware_slp() slp_vect()
45 | / \ /
46 | / \ /
47 tree-vect-loop.c tree-vect-slp.c
48 | \ \ / / |
49 | \ \/ / |
50 | \ /\ / |
51 | \ / \ / |
52 tree-vect-stmts.c tree-vect-data-refs.c
53 \ /
54 tree-vect-patterns.c
55 */
56
57 #include "config.h"
58 #include "system.h"
59 #include "coretypes.h"
60 #include "backend.h"
61 #include "tree.h"
62 #include "gimple.h"
63 #include "predict.h"
64 #include "tree-pass.h"
65 #include "ssa.h"
66 #include "cgraph.h"
67 #include "fold-const.h"
68 #include "stor-layout.h"
69 #include "gimple-iterator.h"
70 #include "gimple-walk.h"
71 #include "tree-ssa-loop-manip.h"
72 #include "tree-ssa-loop-niter.h"
73 #include "tree-cfg.h"
74 #include "cfgloop.h"
75 #include "tree-vectorizer.h"
76 #include "tree-ssa-propagate.h"
77 #include "dbgcnt.h"
78 #include "tree-scalar-evolution.h"
79 #include "stringpool.h"
80 #include "attribs.h"
81 #include "gimple-pretty-print.h"
82 #include "opt-problem.h"
83 #include "internal-fn.h"
84
85
86 /* Loop or bb location, with hotness information. */
87 dump_user_location_t vect_location;
88
89 /* auto_purge_vect_location's dtor: reset the vect_location
90 global, to avoid stale location_t values that could reference
91 GC-ed blocks. */
92
93 auto_purge_vect_location::~auto_purge_vect_location ()
94 {
95 vect_location = dump_user_location_t ();
96 }
97
98 /* Dump a cost entry according to args to F. */
99
100 void
101 dump_stmt_cost (FILE *f, void *data, int count, enum vect_cost_for_stmt kind,
102 stmt_vec_info stmt_info, tree, int misalign, unsigned cost,
103 enum vect_cost_model_location where)
104 {
105 fprintf (f, "%p ", data);
106 if (stmt_info)
107 {
108 print_gimple_expr (f, STMT_VINFO_STMT (stmt_info), 0, TDF_SLIM);
109 fprintf (f, " ");
110 }
111 else
112 fprintf (f, "<unknown> ");
113 fprintf (f, "%d times ", count);
114 const char *ks = "unknown";
115 switch (kind)
116 {
117 case scalar_stmt:
118 ks = "scalar_stmt";
119 break;
120 case scalar_load:
121 ks = "scalar_load";
122 break;
123 case scalar_store:
124 ks = "scalar_store";
125 break;
126 case vector_stmt:
127 ks = "vector_stmt";
128 break;
129 case vector_load:
130 ks = "vector_load";
131 break;
132 case vector_gather_load:
133 ks = "vector_gather_load";
134 break;
135 case unaligned_load:
136 ks = "unaligned_load";
137 break;
138 case unaligned_store:
139 ks = "unaligned_store";
140 break;
141 case vector_store:
142 ks = "vector_store";
143 break;
144 case vector_scatter_store:
145 ks = "vector_scatter_store";
146 break;
147 case vec_to_scalar:
148 ks = "vec_to_scalar";
149 break;
150 case scalar_to_vec:
151 ks = "scalar_to_vec";
152 break;
153 case cond_branch_not_taken:
154 ks = "cond_branch_not_taken";
155 break;
156 case cond_branch_taken:
157 ks = "cond_branch_taken";
158 break;
159 case vec_perm:
160 ks = "vec_perm";
161 break;
162 case vec_promote_demote:
163 ks = "vec_promote_demote";
164 break;
165 case vec_construct:
166 ks = "vec_construct";
167 break;
168 }
169 fprintf (f, "%s ", ks);
170 if (kind == unaligned_load || kind == unaligned_store)
171 fprintf (f, "(misalign %d) ", misalign);
172 fprintf (f, "costs %u ", cost);
173 const char *ws = "unknown";
174 switch (where)
175 {
176 case vect_prologue:
177 ws = "prologue";
178 break;
179 case vect_body:
180 ws = "body";
181 break;
182 case vect_epilogue:
183 ws = "epilogue";
184 break;
185 }
186 fprintf (f, "in %s\n", ws);
187 }
188 \f
189 /* For mapping simduid to vectorization factor. */
190
191 class simduid_to_vf : public free_ptr_hash<simduid_to_vf>
192 {
193 public:
194 unsigned int simduid;
195 poly_uint64 vf;
196
197 /* hash_table support. */
198 static inline hashval_t hash (const simduid_to_vf *);
199 static inline int equal (const simduid_to_vf *, const simduid_to_vf *);
200 };
201
202 inline hashval_t
203 simduid_to_vf::hash (const simduid_to_vf *p)
204 {
205 return p->simduid;
206 }
207
208 inline int
209 simduid_to_vf::equal (const simduid_to_vf *p1, const simduid_to_vf *p2)
210 {
211 return p1->simduid == p2->simduid;
212 }
213
214 /* This hash maps the OMP simd array to the corresponding simduid used
215 to index into it. Like thus,
216
217 _7 = GOMP_SIMD_LANE (simduid.0)
218 ...
219 ...
220 D.1737[_7] = stuff;
221
222
223 This hash maps from the OMP simd array (D.1737[]) to DECL_UID of
224 simduid.0. */
225
226 struct simd_array_to_simduid : free_ptr_hash<simd_array_to_simduid>
227 {
228 tree decl;
229 unsigned int simduid;
230
231 /* hash_table support. */
232 static inline hashval_t hash (const simd_array_to_simduid *);
233 static inline int equal (const simd_array_to_simduid *,
234 const simd_array_to_simduid *);
235 };
236
237 inline hashval_t
238 simd_array_to_simduid::hash (const simd_array_to_simduid *p)
239 {
240 return DECL_UID (p->decl);
241 }
242
243 inline int
244 simd_array_to_simduid::equal (const simd_array_to_simduid *p1,
245 const simd_array_to_simduid *p2)
246 {
247 return p1->decl == p2->decl;
248 }
249
250 /* Fold IFN_GOMP_SIMD_LANE, IFN_GOMP_SIMD_VF, IFN_GOMP_SIMD_LAST_LANE,
251 into their corresponding constants and remove
252 IFN_GOMP_SIMD_ORDERED_{START,END}. */
253
254 static void
255 adjust_simduid_builtins (hash_table<simduid_to_vf> *htab)
256 {
257 basic_block bb;
258
259 FOR_EACH_BB_FN (bb, cfun)
260 {
261 gimple_stmt_iterator i;
262
263 for (i = gsi_start_bb (bb); !gsi_end_p (i); )
264 {
265 poly_uint64 vf = 1;
266 enum internal_fn ifn;
267 gimple *stmt = gsi_stmt (i);
268 tree t;
269 if (!is_gimple_call (stmt)
270 || !gimple_call_internal_p (stmt))
271 {
272 gsi_next (&i);
273 continue;
274 }
275 ifn = gimple_call_internal_fn (stmt);
276 switch (ifn)
277 {
278 case IFN_GOMP_SIMD_LANE:
279 case IFN_GOMP_SIMD_VF:
280 case IFN_GOMP_SIMD_LAST_LANE:
281 break;
282 case IFN_GOMP_SIMD_ORDERED_START:
283 case IFN_GOMP_SIMD_ORDERED_END:
284 if (integer_onep (gimple_call_arg (stmt, 0)))
285 {
286 enum built_in_function bcode
287 = (ifn == IFN_GOMP_SIMD_ORDERED_START
288 ? BUILT_IN_GOMP_ORDERED_START
289 : BUILT_IN_GOMP_ORDERED_END);
290 gimple *g
291 = gimple_build_call (builtin_decl_explicit (bcode), 0);
292 gimple_move_vops (g, stmt);
293 gsi_replace (&i, g, true);
294 continue;
295 }
296 gsi_remove (&i, true);
297 unlink_stmt_vdef (stmt);
298 continue;
299 default:
300 gsi_next (&i);
301 continue;
302 }
303 tree arg = gimple_call_arg (stmt, 0);
304 gcc_assert (arg != NULL_TREE);
305 gcc_assert (TREE_CODE (arg) == SSA_NAME);
306 simduid_to_vf *p = NULL, data;
307 data.simduid = DECL_UID (SSA_NAME_VAR (arg));
308 /* Need to nullify loop safelen field since it's value is not
309 valid after transformation. */
310 if (bb->loop_father && bb->loop_father->safelen > 0)
311 bb->loop_father->safelen = 0;
312 if (htab)
313 {
314 p = htab->find (&data);
315 if (p)
316 vf = p->vf;
317 }
318 switch (ifn)
319 {
320 case IFN_GOMP_SIMD_VF:
321 t = build_int_cst (unsigned_type_node, vf);
322 break;
323 case IFN_GOMP_SIMD_LANE:
324 t = build_int_cst (unsigned_type_node, 0);
325 break;
326 case IFN_GOMP_SIMD_LAST_LANE:
327 t = gimple_call_arg (stmt, 1);
328 break;
329 default:
330 gcc_unreachable ();
331 }
332 tree lhs = gimple_call_lhs (stmt);
333 if (lhs)
334 replace_uses_by (lhs, t);
335 release_defs (stmt);
336 gsi_remove (&i, true);
337 }
338 }
339 }
340
341 /* Helper structure for note_simd_array_uses. */
342
343 struct note_simd_array_uses_struct
344 {
345 hash_table<simd_array_to_simduid> **htab;
346 unsigned int simduid;
347 };
348
349 /* Callback for note_simd_array_uses, called through walk_gimple_op. */
350
351 static tree
352 note_simd_array_uses_cb (tree *tp, int *walk_subtrees, void *data)
353 {
354 struct walk_stmt_info *wi = (struct walk_stmt_info *) data;
355 struct note_simd_array_uses_struct *ns
356 = (struct note_simd_array_uses_struct *) wi->info;
357
358 if (TYPE_P (*tp))
359 *walk_subtrees = 0;
360 else if (VAR_P (*tp)
361 && lookup_attribute ("omp simd array", DECL_ATTRIBUTES (*tp))
362 && DECL_CONTEXT (*tp) == current_function_decl)
363 {
364 simd_array_to_simduid data;
365 if (!*ns->htab)
366 *ns->htab = new hash_table<simd_array_to_simduid> (15);
367 data.decl = *tp;
368 data.simduid = ns->simduid;
369 simd_array_to_simduid **slot = (*ns->htab)->find_slot (&data, INSERT);
370 if (*slot == NULL)
371 {
372 simd_array_to_simduid *p = XNEW (simd_array_to_simduid);
373 *p = data;
374 *slot = p;
375 }
376 else if ((*slot)->simduid != ns->simduid)
377 (*slot)->simduid = -1U;
378 *walk_subtrees = 0;
379 }
380 return NULL_TREE;
381 }
382
383 /* Find "omp simd array" temporaries and map them to corresponding
384 simduid. */
385
386 static void
387 note_simd_array_uses (hash_table<simd_array_to_simduid> **htab)
388 {
389 basic_block bb;
390 gimple_stmt_iterator gsi;
391 struct walk_stmt_info wi;
392 struct note_simd_array_uses_struct ns;
393
394 memset (&wi, 0, sizeof (wi));
395 wi.info = &ns;
396 ns.htab = htab;
397
398 FOR_EACH_BB_FN (bb, cfun)
399 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
400 {
401 gimple *stmt = gsi_stmt (gsi);
402 if (!is_gimple_call (stmt) || !gimple_call_internal_p (stmt))
403 continue;
404 switch (gimple_call_internal_fn (stmt))
405 {
406 case IFN_GOMP_SIMD_LANE:
407 case IFN_GOMP_SIMD_VF:
408 case IFN_GOMP_SIMD_LAST_LANE:
409 break;
410 default:
411 continue;
412 }
413 tree lhs = gimple_call_lhs (stmt);
414 if (lhs == NULL_TREE)
415 continue;
416 imm_use_iterator use_iter;
417 gimple *use_stmt;
418 ns.simduid = DECL_UID (SSA_NAME_VAR (gimple_call_arg (stmt, 0)));
419 FOR_EACH_IMM_USE_STMT (use_stmt, use_iter, lhs)
420 if (!is_gimple_debug (use_stmt))
421 walk_gimple_op (use_stmt, note_simd_array_uses_cb, &wi);
422 }
423 }
424
425 /* Shrink arrays with "omp simd array" attribute to the corresponding
426 vectorization factor. */
427
428 static void
429 shrink_simd_arrays
430 (hash_table<simd_array_to_simduid> *simd_array_to_simduid_htab,
431 hash_table<simduid_to_vf> *simduid_to_vf_htab)
432 {
433 for (hash_table<simd_array_to_simduid>::iterator iter
434 = simd_array_to_simduid_htab->begin ();
435 iter != simd_array_to_simduid_htab->end (); ++iter)
436 if ((*iter)->simduid != -1U)
437 {
438 tree decl = (*iter)->decl;
439 poly_uint64 vf = 1;
440 if (simduid_to_vf_htab)
441 {
442 simduid_to_vf *p = NULL, data;
443 data.simduid = (*iter)->simduid;
444 p = simduid_to_vf_htab->find (&data);
445 if (p)
446 vf = p->vf;
447 }
448 tree atype
449 = build_array_type_nelts (TREE_TYPE (TREE_TYPE (decl)), vf);
450 TREE_TYPE (decl) = atype;
451 relayout_decl (decl);
452 }
453
454 delete simd_array_to_simduid_htab;
455 }
456 \f
457 /* Initialize the vec_info with kind KIND_IN and target cost data
458 TARGET_COST_DATA_IN. */
459
460 vec_info::vec_info (vec_info::vec_kind kind_in, void *target_cost_data_in,
461 vec_info_shared *shared_)
462 : kind (kind_in),
463 shared (shared_),
464 stmt_vec_info_ro (false),
465 target_cost_data (target_cost_data_in)
466 {
467 stmt_vec_infos.create (50);
468 }
469
470 vec_info::~vec_info ()
471 {
472 slp_instance instance;
473 unsigned int i;
474
475 FOR_EACH_VEC_ELT (slp_instances, i, instance)
476 vect_free_slp_instance (instance);
477
478 destroy_cost_data (target_cost_data);
479 free_stmt_vec_infos ();
480 }
481
482 vec_info_shared::vec_info_shared ()
483 : datarefs (vNULL),
484 datarefs_copy (vNULL),
485 ddrs (vNULL)
486 {
487 }
488
489 vec_info_shared::~vec_info_shared ()
490 {
491 free_data_refs (datarefs);
492 free_dependence_relations (ddrs);
493 datarefs_copy.release ();
494 }
495
496 void
497 vec_info_shared::save_datarefs ()
498 {
499 if (!flag_checking)
500 return;
501 datarefs_copy.reserve_exact (datarefs.length ());
502 for (unsigned i = 0; i < datarefs.length (); ++i)
503 datarefs_copy.quick_push (*datarefs[i]);
504 }
505
506 void
507 vec_info_shared::check_datarefs ()
508 {
509 if (!flag_checking)
510 return;
511 gcc_assert (datarefs.length () == datarefs_copy.length ());
512 for (unsigned i = 0; i < datarefs.length (); ++i)
513 if (memcmp (&datarefs_copy[i], datarefs[i], sizeof (data_reference)) != 0)
514 gcc_unreachable ();
515 }
516
517 /* Record that STMT belongs to the vectorizable region. Create and return
518 an associated stmt_vec_info. */
519
520 stmt_vec_info
521 vec_info::add_stmt (gimple *stmt)
522 {
523 stmt_vec_info res = new_stmt_vec_info (stmt);
524 set_vinfo_for_stmt (stmt, res);
525 return res;
526 }
527
528 /* Record that STMT belongs to the vectorizable region. Create a new
529 stmt_vec_info and mark VECINFO as being related and return the new
530 stmt_vec_info. */
531
532 stmt_vec_info
533 vec_info::add_pattern_stmt (gimple *stmt, stmt_vec_info stmt_info)
534 {
535 stmt_vec_info res = new_stmt_vec_info (stmt);
536 set_vinfo_for_stmt (stmt, res, false);
537 STMT_VINFO_RELATED_STMT (res) = stmt_info;
538 return res;
539 }
540
541 /* If STMT has an associated stmt_vec_info, return that vec_info, otherwise
542 return null. It is safe to call this function on any statement, even if
543 it might not be part of the vectorizable region. */
544
545 stmt_vec_info
546 vec_info::lookup_stmt (gimple *stmt)
547 {
548 unsigned int uid = gimple_uid (stmt);
549 if (uid > 0 && uid - 1 < stmt_vec_infos.length ())
550 {
551 stmt_vec_info res = stmt_vec_infos[uid - 1];
552 if (res && res->stmt == stmt)
553 return res;
554 }
555 return NULL;
556 }
557
558 /* If NAME is an SSA_NAME and its definition has an associated stmt_vec_info,
559 return that stmt_vec_info, otherwise return null. It is safe to call
560 this on arbitrary operands. */
561
562 stmt_vec_info
563 vec_info::lookup_def (tree name)
564 {
565 if (TREE_CODE (name) == SSA_NAME
566 && !SSA_NAME_IS_DEFAULT_DEF (name))
567 return lookup_stmt (SSA_NAME_DEF_STMT (name));
568 return NULL;
569 }
570
571 /* See whether there is a single non-debug statement that uses LHS and
572 whether that statement has an associated stmt_vec_info. Return the
573 stmt_vec_info if so, otherwise return null. */
574
575 stmt_vec_info
576 vec_info::lookup_single_use (tree lhs)
577 {
578 use_operand_p dummy;
579 gimple *use_stmt;
580 if (single_imm_use (lhs, &dummy, &use_stmt))
581 return lookup_stmt (use_stmt);
582 return NULL;
583 }
584
585 /* Return vectorization information about DR. */
586
587 dr_vec_info *
588 vec_info::lookup_dr (data_reference *dr)
589 {
590 stmt_vec_info stmt_info = lookup_stmt (DR_STMT (dr));
591 /* DR_STMT should never refer to a stmt in a pattern replacement. */
592 gcc_checking_assert (!is_pattern_stmt_p (stmt_info));
593 return STMT_VINFO_DR_INFO (stmt_info->dr_aux.stmt);
594 }
595
596 /* Record that NEW_STMT_INFO now implements the same data reference
597 as OLD_STMT_INFO. */
598
599 void
600 vec_info::move_dr (stmt_vec_info new_stmt_info, stmt_vec_info old_stmt_info)
601 {
602 gcc_assert (!is_pattern_stmt_p (old_stmt_info));
603 STMT_VINFO_DR_INFO (old_stmt_info)->stmt = new_stmt_info;
604 new_stmt_info->dr_aux = old_stmt_info->dr_aux;
605 STMT_VINFO_DR_WRT_VEC_LOOP (new_stmt_info)
606 = STMT_VINFO_DR_WRT_VEC_LOOP (old_stmt_info);
607 STMT_VINFO_GATHER_SCATTER_P (new_stmt_info)
608 = STMT_VINFO_GATHER_SCATTER_P (old_stmt_info);
609 }
610
611 /* Permanently remove the statement described by STMT_INFO from the
612 function. */
613
614 void
615 vec_info::remove_stmt (stmt_vec_info stmt_info)
616 {
617 gcc_assert (!stmt_info->pattern_stmt_p);
618 set_vinfo_for_stmt (stmt_info->stmt, NULL);
619 unlink_stmt_vdef (stmt_info->stmt);
620 gimple_stmt_iterator si = gsi_for_stmt (stmt_info->stmt);
621 gsi_remove (&si, true);
622 release_defs (stmt_info->stmt);
623 free_stmt_vec_info (stmt_info);
624 }
625
626 /* Replace the statement at GSI by NEW_STMT, both the vectorization
627 information and the function itself. STMT_INFO describes the statement
628 at GSI. */
629
630 void
631 vec_info::replace_stmt (gimple_stmt_iterator *gsi, stmt_vec_info stmt_info,
632 gimple *new_stmt)
633 {
634 gimple *old_stmt = stmt_info->stmt;
635 gcc_assert (!stmt_info->pattern_stmt_p && old_stmt == gsi_stmt (*gsi));
636 gimple_set_uid (new_stmt, gimple_uid (old_stmt));
637 stmt_info->stmt = new_stmt;
638 gsi_replace (gsi, new_stmt, true);
639 }
640
641 /* Insert stmts in SEQ on the VEC_INFO region entry. If CONTEXT is
642 not NULL it specifies whether to use the sub-region entry
643 determined by it, currently used for loop vectorization to insert
644 on the inner loop entry vs. the outer loop entry. */
645
646 void
647 vec_info::insert_seq_on_entry (stmt_vec_info context, gimple_seq seq)
648 {
649 if (loop_vec_info loop_vinfo = dyn_cast <loop_vec_info> (this))
650 {
651 class loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
652 basic_block new_bb;
653 edge pe;
654
655 if (context && nested_in_vect_loop_p (loop, context))
656 loop = loop->inner;
657
658 pe = loop_preheader_edge (loop);
659 new_bb = gsi_insert_seq_on_edge_immediate (pe, seq);
660 gcc_assert (!new_bb);
661 }
662 else
663 {
664 bb_vec_info bb_vinfo = as_a <bb_vec_info> (this);
665 gimple_stmt_iterator gsi_region_begin
666 = gsi_after_labels (bb_vinfo->bbs[0]);
667 gsi_insert_seq_before (&gsi_region_begin, seq, GSI_SAME_STMT);
668 }
669 }
670
671 /* Like insert_seq_on_entry but just inserts the single stmt NEW_STMT. */
672
673 void
674 vec_info::insert_on_entry (stmt_vec_info context, gimple *new_stmt)
675 {
676 gimple_seq seq = NULL;
677 gimple_stmt_iterator gsi = gsi_start (seq);
678 gsi_insert_before_without_update (&gsi, new_stmt, GSI_SAME_STMT);
679 insert_seq_on_entry (context, seq);
680 }
681
682 /* Create and initialize a new stmt_vec_info struct for STMT. */
683
684 stmt_vec_info
685 vec_info::new_stmt_vec_info (gimple *stmt)
686 {
687 stmt_vec_info res = XCNEW (class _stmt_vec_info);
688 res->stmt = stmt;
689
690 STMT_VINFO_TYPE (res) = undef_vec_info_type;
691 STMT_VINFO_RELEVANT (res) = vect_unused_in_scope;
692 STMT_VINFO_VECTORIZABLE (res) = true;
693 STMT_VINFO_REDUC_TYPE (res) = TREE_CODE_REDUCTION;
694 STMT_VINFO_REDUC_CODE (res) = ERROR_MARK;
695 STMT_VINFO_REDUC_FN (res) = IFN_LAST;
696 STMT_VINFO_REDUC_IDX (res) = -1;
697 STMT_VINFO_SLP_VECT_ONLY (res) = false;
698 STMT_VINFO_VEC_STMTS (res) = vNULL;
699
700 if (is_a <loop_vec_info> (this)
701 && gimple_code (stmt) == GIMPLE_PHI
702 && is_loop_header_bb_p (gimple_bb (stmt)))
703 STMT_VINFO_DEF_TYPE (res) = vect_unknown_def_type;
704 else
705 STMT_VINFO_DEF_TYPE (res) = vect_internal_def;
706
707 STMT_SLP_TYPE (res) = loop_vect;
708
709 /* This is really "uninitialized" until vect_compute_data_ref_alignment. */
710 res->dr_aux.misalignment = DR_MISALIGNMENT_UNINITIALIZED;
711
712 return res;
713 }
714
715 /* Associate STMT with INFO. */
716
717 void
718 vec_info::set_vinfo_for_stmt (gimple *stmt, stmt_vec_info info, bool check_ro)
719 {
720 unsigned int uid = gimple_uid (stmt);
721 if (uid == 0)
722 {
723 gcc_assert (!check_ro || !stmt_vec_info_ro);
724 gcc_checking_assert (info);
725 uid = stmt_vec_infos.length () + 1;
726 gimple_set_uid (stmt, uid);
727 stmt_vec_infos.safe_push (info);
728 }
729 else
730 {
731 gcc_checking_assert (info == NULL);
732 stmt_vec_infos[uid - 1] = info;
733 }
734 }
735
736 /* Free the contents of stmt_vec_infos. */
737
738 void
739 vec_info::free_stmt_vec_infos (void)
740 {
741 unsigned int i;
742 stmt_vec_info info;
743 FOR_EACH_VEC_ELT (stmt_vec_infos, i, info)
744 if (info != NULL)
745 free_stmt_vec_info (info);
746 stmt_vec_infos.release ();
747 }
748
749 /* Free STMT_INFO. */
750
751 void
752 vec_info::free_stmt_vec_info (stmt_vec_info stmt_info)
753 {
754 if (stmt_info->pattern_stmt_p)
755 {
756 gimple_set_bb (stmt_info->stmt, NULL);
757 tree lhs = gimple_get_lhs (stmt_info->stmt);
758 if (lhs && TREE_CODE (lhs) == SSA_NAME)
759 release_ssa_name (lhs);
760 }
761
762 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).release ();
763 STMT_VINFO_VEC_STMTS (stmt_info).release ();
764 free (stmt_info);
765 }
766
767 /* Returns true if S1 dominates S2. */
768
769 bool
770 vect_stmt_dominates_stmt_p (gimple *s1, gimple *s2)
771 {
772 basic_block bb1 = gimple_bb (s1), bb2 = gimple_bb (s2);
773
774 /* If bb1 is NULL, it should be a GIMPLE_NOP def stmt of an (D)
775 SSA_NAME. Assume it lives at the beginning of function and
776 thus dominates everything. */
777 if (!bb1 || s1 == s2)
778 return true;
779
780 /* If bb2 is NULL, it doesn't dominate any stmt with a bb. */
781 if (!bb2)
782 return false;
783
784 if (bb1 != bb2)
785 return dominated_by_p (CDI_DOMINATORS, bb2, bb1);
786
787 /* PHIs in the same basic block are assumed to be
788 executed all in parallel, if only one stmt is a PHI,
789 it dominates the other stmt in the same basic block. */
790 if (gimple_code (s1) == GIMPLE_PHI)
791 return true;
792
793 if (gimple_code (s2) == GIMPLE_PHI)
794 return false;
795
796 /* Inserted vectorized stmts all have UID 0 while the original stmts
797 in the IL have UID increasing within a BB. Walk from both sides
798 until we find the other stmt or a stmt with UID != 0. */
799 gimple_stmt_iterator gsi1 = gsi_for_stmt (s1);
800 while (gimple_uid (gsi_stmt (gsi1)) == 0)
801 {
802 gsi_next (&gsi1);
803 if (gsi_end_p (gsi1))
804 return false;
805 if (gsi_stmt (gsi1) == s2)
806 return true;
807 }
808 if (gimple_uid (gsi_stmt (gsi1)) == -1u)
809 return false;
810
811 gimple_stmt_iterator gsi2 = gsi_for_stmt (s2);
812 while (gimple_uid (gsi_stmt (gsi2)) == 0)
813 {
814 gsi_prev (&gsi2);
815 if (gsi_end_p (gsi2))
816 return false;
817 if (gsi_stmt (gsi2) == s1)
818 return true;
819 }
820 if (gimple_uid (gsi_stmt (gsi2)) == -1u)
821 return false;
822
823 if (gimple_uid (gsi_stmt (gsi1)) <= gimple_uid (gsi_stmt (gsi2)))
824 return true;
825 return false;
826 }
827
828 /* A helper function to free scev and LOOP niter information, as well as
829 clear loop constraint LOOP_C_FINITE. */
830
831 void
832 vect_free_loop_info_assumptions (class loop *loop)
833 {
834 scev_reset_htab ();
835 /* We need to explicitly reset upper bound information since they are
836 used even after free_numbers_of_iterations_estimates. */
837 loop->any_upper_bound = false;
838 loop->any_likely_upper_bound = false;
839 free_numbers_of_iterations_estimates (loop);
840 loop_constraint_clear (loop, LOOP_C_FINITE);
841 }
842
843 /* If LOOP has been versioned during ifcvt, return the internal call
844 guarding it. */
845
846 gimple *
847 vect_loop_vectorized_call (class loop *loop, gcond **cond)
848 {
849 basic_block bb = loop_preheader_edge (loop)->src;
850 gimple *g;
851 do
852 {
853 g = last_stmt (bb);
854 if (g)
855 break;
856 if (!single_pred_p (bb))
857 break;
858 bb = single_pred (bb);
859 }
860 while (1);
861 if (g && gimple_code (g) == GIMPLE_COND)
862 {
863 if (cond)
864 *cond = as_a <gcond *> (g);
865 gimple_stmt_iterator gsi = gsi_for_stmt (g);
866 gsi_prev (&gsi);
867 if (!gsi_end_p (gsi))
868 {
869 g = gsi_stmt (gsi);
870 if (gimple_call_internal_p (g, IFN_LOOP_VECTORIZED)
871 && (tree_to_shwi (gimple_call_arg (g, 0)) == loop->num
872 || tree_to_shwi (gimple_call_arg (g, 1)) == loop->num))
873 return g;
874 }
875 }
876 return NULL;
877 }
878
879 /* If LOOP has been versioned during loop distribution, return the gurading
880 internal call. */
881
882 static gimple *
883 vect_loop_dist_alias_call (class loop *loop)
884 {
885 basic_block bb;
886 basic_block entry;
887 class loop *outer, *orig;
888 gimple_stmt_iterator gsi;
889 gimple *g;
890
891 if (loop->orig_loop_num == 0)
892 return NULL;
893
894 orig = get_loop (cfun, loop->orig_loop_num);
895 if (orig == NULL)
896 {
897 /* The original loop is somehow destroyed. Clear the information. */
898 loop->orig_loop_num = 0;
899 return NULL;
900 }
901
902 if (loop != orig)
903 bb = nearest_common_dominator (CDI_DOMINATORS, loop->header, orig->header);
904 else
905 bb = loop_preheader_edge (loop)->src;
906
907 outer = bb->loop_father;
908 entry = ENTRY_BLOCK_PTR_FOR_FN (cfun);
909
910 /* Look upward in dominance tree. */
911 for (; bb != entry && flow_bb_inside_loop_p (outer, bb);
912 bb = get_immediate_dominator (CDI_DOMINATORS, bb))
913 {
914 g = last_stmt (bb);
915 if (g == NULL || gimple_code (g) != GIMPLE_COND)
916 continue;
917
918 gsi = gsi_for_stmt (g);
919 gsi_prev (&gsi);
920 if (gsi_end_p (gsi))
921 continue;
922
923 g = gsi_stmt (gsi);
924 /* The guarding internal function call must have the same distribution
925 alias id. */
926 if (gimple_call_internal_p (g, IFN_LOOP_DIST_ALIAS)
927 && (tree_to_shwi (gimple_call_arg (g, 0)) == loop->orig_loop_num))
928 return g;
929 }
930 return NULL;
931 }
932
933 /* Set the uids of all the statements in basic blocks inside loop
934 represented by LOOP_VINFO. LOOP_VECTORIZED_CALL is the internal
935 call guarding the loop which has been if converted. */
936 static void
937 set_uid_loop_bbs (loop_vec_info loop_vinfo, gimple *loop_vectorized_call)
938 {
939 tree arg = gimple_call_arg (loop_vectorized_call, 1);
940 basic_block *bbs;
941 unsigned int i;
942 class loop *scalar_loop = get_loop (cfun, tree_to_shwi (arg));
943
944 LOOP_VINFO_SCALAR_LOOP (loop_vinfo) = scalar_loop;
945 gcc_checking_assert (vect_loop_vectorized_call (scalar_loop)
946 == loop_vectorized_call);
947 /* If we are going to vectorize outer loop, prevent vectorization
948 of the inner loop in the scalar loop - either the scalar loop is
949 thrown away, so it is a wasted work, or is used only for
950 a few iterations. */
951 if (scalar_loop->inner)
952 {
953 gimple *g = vect_loop_vectorized_call (scalar_loop->inner);
954 if (g)
955 {
956 arg = gimple_call_arg (g, 0);
957 get_loop (cfun, tree_to_shwi (arg))->dont_vectorize = true;
958 fold_loop_internal_call (g, boolean_false_node);
959 }
960 }
961 bbs = get_loop_body (scalar_loop);
962 for (i = 0; i < scalar_loop->num_nodes; i++)
963 {
964 basic_block bb = bbs[i];
965 gimple_stmt_iterator gsi;
966 for (gsi = gsi_start_phis (bb); !gsi_end_p (gsi); gsi_next (&gsi))
967 {
968 gimple *phi = gsi_stmt (gsi);
969 gimple_set_uid (phi, 0);
970 }
971 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
972 {
973 gimple *stmt = gsi_stmt (gsi);
974 gimple_set_uid (stmt, 0);
975 }
976 }
977 free (bbs);
978 }
979
980 /* Try to vectorize LOOP. */
981
982 static unsigned
983 try_vectorize_loop_1 (hash_table<simduid_to_vf> *&simduid_to_vf_htab,
984 unsigned *num_vectorized_loops, loop_p loop,
985 gimple *loop_vectorized_call,
986 gimple *loop_dist_alias_call)
987 {
988 unsigned ret = 0;
989 vec_info_shared shared;
990 auto_purge_vect_location sentinel;
991 vect_location = find_loop_location (loop);
992
993 if (LOCATION_LOCUS (vect_location.get_location_t ()) != UNKNOWN_LOCATION
994 && dump_enabled_p ())
995 dump_printf (MSG_NOTE | MSG_PRIORITY_INTERNALS,
996 "\nAnalyzing loop at %s:%d\n",
997 LOCATION_FILE (vect_location.get_location_t ()),
998 LOCATION_LINE (vect_location.get_location_t ()));
999
1000 opt_loop_vec_info loop_vinfo = opt_loop_vec_info::success (NULL);
1001 /* In the case of epilogue vectorization the loop already has its
1002 loop_vec_info set, we do not require to analyze the loop in this case. */
1003 if (loop_vec_info vinfo = loop_vec_info_for_loop (loop))
1004 loop_vinfo = opt_loop_vec_info::success (vinfo);
1005 else
1006 {
1007 /* Try to analyze the loop, retaining an opt_problem if dump_enabled_p. */
1008 loop_vinfo = vect_analyze_loop (loop, &shared);
1009 loop->aux = loop_vinfo;
1010 }
1011
1012 if (!loop_vinfo)
1013 if (dump_enabled_p ())
1014 if (opt_problem *problem = loop_vinfo.get_problem ())
1015 {
1016 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1017 "couldn't vectorize loop\n");
1018 problem->emit_and_clear ();
1019 }
1020
1021 if (!loop_vinfo || !LOOP_VINFO_VECTORIZABLE_P (loop_vinfo))
1022 {
1023 /* Free existing information if loop is analyzed with some
1024 assumptions. */
1025 if (loop_constraint_set_p (loop, LOOP_C_FINITE))
1026 vect_free_loop_info_assumptions (loop);
1027
1028 /* If we applied if-conversion then try to vectorize the
1029 BB of innermost loops.
1030 ??? Ideally BB vectorization would learn to vectorize
1031 control flow by applying if-conversion on-the-fly, the
1032 following retains the if-converted loop body even when
1033 only non-if-converted parts took part in BB vectorization. */
1034 if (flag_tree_slp_vectorize != 0
1035 && loop_vectorized_call
1036 && ! loop->inner)
1037 {
1038 basic_block bb = loop->header;
1039 bool require_loop_vectorize = false;
1040 for (gimple_stmt_iterator gsi = gsi_start_bb (bb);
1041 !gsi_end_p (gsi); gsi_next (&gsi))
1042 {
1043 gimple *stmt = gsi_stmt (gsi);
1044 gcall *call = dyn_cast <gcall *> (stmt);
1045 if (call && gimple_call_internal_p (call))
1046 {
1047 internal_fn ifn = gimple_call_internal_fn (call);
1048 if (ifn == IFN_MASK_LOAD || ifn == IFN_MASK_STORE
1049 /* Don't keep the if-converted parts when the ifn with
1050 specifc type is not supported by the backend. */
1051 || (direct_internal_fn_p (ifn)
1052 && !direct_internal_fn_supported_p
1053 (call, OPTIMIZE_FOR_SPEED)))
1054 {
1055 require_loop_vectorize = true;
1056 break;
1057 }
1058 }
1059 gimple_set_uid (stmt, -1);
1060 gimple_set_visited (stmt, false);
1061 }
1062 if (!require_loop_vectorize && vect_slp_bb (bb))
1063 {
1064 fold_loop_internal_call (loop_vectorized_call,
1065 boolean_true_node);
1066 loop_vectorized_call = NULL;
1067 ret |= TODO_cleanup_cfg | TODO_update_ssa_only_virtuals;
1068 }
1069 }
1070 /* If outer loop vectorization fails for LOOP_VECTORIZED guarded
1071 loop, don't vectorize its inner loop; we'll attempt to
1072 vectorize LOOP_VECTORIZED guarded inner loop of the scalar
1073 loop version. */
1074 if (loop_vectorized_call && loop->inner)
1075 loop->inner->dont_vectorize = true;
1076 return ret;
1077 }
1078
1079 /* Only count the original scalar loops. */
1080 if (!LOOP_VINFO_EPILOGUE_P (loop_vinfo) && !dbg_cnt (vect_loop))
1081 {
1082 /* Free existing information if loop is analyzed with some
1083 assumptions. */
1084 if (loop_constraint_set_p (loop, LOOP_C_FINITE))
1085 vect_free_loop_info_assumptions (loop);
1086 return ret;
1087 }
1088
1089 if (loop_vectorized_call)
1090 set_uid_loop_bbs (loop_vinfo, loop_vectorized_call);
1091
1092 unsigned HOST_WIDE_INT bytes;
1093 if (dump_enabled_p ())
1094 {
1095 if (GET_MODE_SIZE (loop_vinfo->vector_mode).is_constant (&bytes))
1096 dump_printf_loc (MSG_OPTIMIZED_LOCATIONS, vect_location,
1097 "loop vectorized using %wu byte vectors\n", bytes);
1098 else
1099 dump_printf_loc (MSG_OPTIMIZED_LOCATIONS, vect_location,
1100 "loop vectorized using variable length vectors\n");
1101 }
1102
1103 loop_p new_loop = vect_transform_loop (loop_vinfo,
1104 loop_vectorized_call);
1105 (*num_vectorized_loops)++;
1106 /* Now that the loop has been vectorized, allow it to be unrolled
1107 etc. */
1108 loop->force_vectorize = false;
1109
1110 if (loop->simduid)
1111 {
1112 simduid_to_vf *simduid_to_vf_data = XNEW (simduid_to_vf);
1113 if (!simduid_to_vf_htab)
1114 simduid_to_vf_htab = new hash_table<simduid_to_vf> (15);
1115 simduid_to_vf_data->simduid = DECL_UID (loop->simduid);
1116 simduid_to_vf_data->vf = loop_vinfo->vectorization_factor;
1117 *simduid_to_vf_htab->find_slot (simduid_to_vf_data, INSERT)
1118 = simduid_to_vf_data;
1119 }
1120
1121 if (loop_vectorized_call)
1122 {
1123 fold_loop_internal_call (loop_vectorized_call, boolean_true_node);
1124 loop_vectorized_call = NULL;
1125 ret |= TODO_cleanup_cfg;
1126 }
1127 if (loop_dist_alias_call)
1128 {
1129 tree value = gimple_call_arg (loop_dist_alias_call, 1);
1130 fold_loop_internal_call (loop_dist_alias_call, value);
1131 loop_dist_alias_call = NULL;
1132 ret |= TODO_cleanup_cfg;
1133 }
1134
1135 /* Epilogue of vectorized loop must be vectorized too. */
1136 if (new_loop)
1137 {
1138 /* Don't include vectorized epilogues in the "vectorized loops" count.
1139 */
1140 unsigned dont_count = *num_vectorized_loops;
1141 ret |= try_vectorize_loop_1 (simduid_to_vf_htab, &dont_count,
1142 new_loop, NULL, NULL);
1143 }
1144
1145 return ret;
1146 }
1147
1148 /* Try to vectorize LOOP. */
1149
1150 static unsigned
1151 try_vectorize_loop (hash_table<simduid_to_vf> *&simduid_to_vf_htab,
1152 unsigned *num_vectorized_loops, loop_p loop)
1153 {
1154 if (!((flag_tree_loop_vectorize
1155 && optimize_loop_nest_for_speed_p (loop))
1156 || loop->force_vectorize))
1157 return 0;
1158
1159 return try_vectorize_loop_1 (simduid_to_vf_htab, num_vectorized_loops, loop,
1160 vect_loop_vectorized_call (loop),
1161 vect_loop_dist_alias_call (loop));
1162 }
1163
1164
1165 /* Function vectorize_loops.
1166
1167 Entry point to loop vectorization phase. */
1168
1169 unsigned
1170 vectorize_loops (void)
1171 {
1172 unsigned int i;
1173 unsigned int num_vectorized_loops = 0;
1174 unsigned int vect_loops_num;
1175 class loop *loop;
1176 hash_table<simduid_to_vf> *simduid_to_vf_htab = NULL;
1177 hash_table<simd_array_to_simduid> *simd_array_to_simduid_htab = NULL;
1178 bool any_ifcvt_loops = false;
1179 unsigned ret = 0;
1180
1181 vect_loops_num = number_of_loops (cfun);
1182
1183 /* Bail out if there are no loops. */
1184 if (vect_loops_num <= 1)
1185 return 0;
1186
1187 vect_slp_init ();
1188
1189 if (cfun->has_simduid_loops)
1190 note_simd_array_uses (&simd_array_to_simduid_htab);
1191
1192 /* ----------- Analyze loops. ----------- */
1193
1194 /* If some loop was duplicated, it gets bigger number
1195 than all previously defined loops. This fact allows us to run
1196 only over initial loops skipping newly generated ones. */
1197 FOR_EACH_LOOP (loop, 0)
1198 if (loop->dont_vectorize)
1199 {
1200 any_ifcvt_loops = true;
1201 /* If-conversion sometimes versions both the outer loop
1202 (for the case when outer loop vectorization might be
1203 desirable) as well as the inner loop in the scalar version
1204 of the loop. So we have:
1205 if (LOOP_VECTORIZED (1, 3))
1206 {
1207 loop1
1208 loop2
1209 }
1210 else
1211 loop3 (copy of loop1)
1212 if (LOOP_VECTORIZED (4, 5))
1213 loop4 (copy of loop2)
1214 else
1215 loop5 (copy of loop4)
1216 If FOR_EACH_LOOP gives us loop3 first (which has
1217 dont_vectorize set), make sure to process loop1 before loop4;
1218 so that we can prevent vectorization of loop4 if loop1
1219 is successfully vectorized. */
1220 if (loop->inner)
1221 {
1222 gimple *loop_vectorized_call
1223 = vect_loop_vectorized_call (loop);
1224 if (loop_vectorized_call
1225 && vect_loop_vectorized_call (loop->inner))
1226 {
1227 tree arg = gimple_call_arg (loop_vectorized_call, 0);
1228 class loop *vector_loop
1229 = get_loop (cfun, tree_to_shwi (arg));
1230 if (vector_loop && vector_loop != loop)
1231 {
1232 /* Make sure we don't vectorize it twice. */
1233 vector_loop->dont_vectorize = true;
1234 ret |= try_vectorize_loop (simduid_to_vf_htab,
1235 &num_vectorized_loops,
1236 vector_loop);
1237 }
1238 }
1239 }
1240 }
1241 else
1242 ret |= try_vectorize_loop (simduid_to_vf_htab, &num_vectorized_loops,
1243 loop);
1244
1245 vect_location = dump_user_location_t ();
1246
1247 statistics_counter_event (cfun, "Vectorized loops", num_vectorized_loops);
1248 if (dump_enabled_p ()
1249 || (num_vectorized_loops > 0 && dump_enabled_p ()))
1250 dump_printf_loc (MSG_NOTE, vect_location,
1251 "vectorized %u loops in function.\n",
1252 num_vectorized_loops);
1253
1254 /* ----------- Finalize. ----------- */
1255
1256 if (any_ifcvt_loops)
1257 for (i = 1; i < number_of_loops (cfun); i++)
1258 {
1259 loop = get_loop (cfun, i);
1260 if (loop && loop->dont_vectorize)
1261 {
1262 gimple *g = vect_loop_vectorized_call (loop);
1263 if (g)
1264 {
1265 fold_loop_internal_call (g, boolean_false_node);
1266 ret |= TODO_cleanup_cfg;
1267 g = NULL;
1268 }
1269 else
1270 g = vect_loop_dist_alias_call (loop);
1271
1272 if (g)
1273 {
1274 fold_loop_internal_call (g, boolean_false_node);
1275 ret |= TODO_cleanup_cfg;
1276 }
1277 }
1278 }
1279
1280 for (i = 1; i < number_of_loops (cfun); i++)
1281 {
1282 loop_vec_info loop_vinfo;
1283 bool has_mask_store;
1284
1285 loop = get_loop (cfun, i);
1286 if (!loop || !loop->aux)
1287 continue;
1288 loop_vinfo = (loop_vec_info) loop->aux;
1289 has_mask_store = LOOP_VINFO_HAS_MASK_STORE (loop_vinfo);
1290 delete loop_vinfo;
1291 if (has_mask_store
1292 && targetm.vectorize.empty_mask_is_expensive (IFN_MASK_STORE))
1293 optimize_mask_stores (loop);
1294 loop->aux = NULL;
1295 }
1296
1297 /* Fold IFN_GOMP_SIMD_{VF,LANE,LAST_LANE,ORDERED_{START,END}} builtins. */
1298 if (cfun->has_simduid_loops)
1299 {
1300 adjust_simduid_builtins (simduid_to_vf_htab);
1301 /* Avoid stale SCEV cache entries for the SIMD_LANE defs. */
1302 scev_reset ();
1303 }
1304
1305 /* Shrink any "omp array simd" temporary arrays to the
1306 actual vectorization factors. */
1307 if (simd_array_to_simduid_htab)
1308 shrink_simd_arrays (simd_array_to_simduid_htab, simduid_to_vf_htab);
1309 delete simduid_to_vf_htab;
1310 cfun->has_simduid_loops = false;
1311 vect_slp_fini ();
1312
1313 if (num_vectorized_loops > 0)
1314 {
1315 /* If we vectorized any loop only virtual SSA form needs to be updated.
1316 ??? Also while we try hard to update loop-closed SSA form we fail
1317 to properly do this in some corner-cases (see PR56286). */
1318 rewrite_into_loop_closed_ssa (NULL, TODO_update_ssa_only_virtuals);
1319 return TODO_cleanup_cfg;
1320 }
1321
1322 return ret;
1323 }
1324
1325
1326 /* Entry point to the simduid cleanup pass. */
1327
1328 namespace {
1329
1330 const pass_data pass_data_simduid_cleanup =
1331 {
1332 GIMPLE_PASS, /* type */
1333 "simduid", /* name */
1334 OPTGROUP_NONE, /* optinfo_flags */
1335 TV_NONE, /* tv_id */
1336 ( PROP_ssa | PROP_cfg ), /* properties_required */
1337 0, /* properties_provided */
1338 0, /* properties_destroyed */
1339 0, /* todo_flags_start */
1340 0, /* todo_flags_finish */
1341 };
1342
1343 class pass_simduid_cleanup : public gimple_opt_pass
1344 {
1345 public:
1346 pass_simduid_cleanup (gcc::context *ctxt)
1347 : gimple_opt_pass (pass_data_simduid_cleanup, ctxt)
1348 {}
1349
1350 /* opt_pass methods: */
1351 opt_pass * clone () { return new pass_simduid_cleanup (m_ctxt); }
1352 virtual bool gate (function *fun) { return fun->has_simduid_loops; }
1353 virtual unsigned int execute (function *);
1354
1355 }; // class pass_simduid_cleanup
1356
1357 unsigned int
1358 pass_simduid_cleanup::execute (function *fun)
1359 {
1360 hash_table<simd_array_to_simduid> *simd_array_to_simduid_htab = NULL;
1361
1362 note_simd_array_uses (&simd_array_to_simduid_htab);
1363
1364 /* Fold IFN_GOMP_SIMD_{VF,LANE,LAST_LANE,ORDERED_{START,END}} builtins. */
1365 adjust_simduid_builtins (NULL);
1366
1367 /* Shrink any "omp array simd" temporary arrays to the
1368 actual vectorization factors. */
1369 if (simd_array_to_simduid_htab)
1370 shrink_simd_arrays (simd_array_to_simduid_htab, NULL);
1371 fun->has_simduid_loops = false;
1372 return 0;
1373 }
1374
1375 } // anon namespace
1376
1377 gimple_opt_pass *
1378 make_pass_simduid_cleanup (gcc::context *ctxt)
1379 {
1380 return new pass_simduid_cleanup (ctxt);
1381 }
1382
1383
1384 /* Entry point to basic block SLP phase. */
1385
1386 namespace {
1387
1388 const pass_data pass_data_slp_vectorize =
1389 {
1390 GIMPLE_PASS, /* type */
1391 "slp", /* name */
1392 OPTGROUP_LOOP | OPTGROUP_VEC, /* optinfo_flags */
1393 TV_TREE_SLP_VECTORIZATION, /* tv_id */
1394 ( PROP_ssa | PROP_cfg ), /* properties_required */
1395 0, /* properties_provided */
1396 0, /* properties_destroyed */
1397 0, /* todo_flags_start */
1398 TODO_update_ssa, /* todo_flags_finish */
1399 };
1400
1401 class pass_slp_vectorize : public gimple_opt_pass
1402 {
1403 public:
1404 pass_slp_vectorize (gcc::context *ctxt)
1405 : gimple_opt_pass (pass_data_slp_vectorize, ctxt)
1406 {}
1407
1408 /* opt_pass methods: */
1409 opt_pass * clone () { return new pass_slp_vectorize (m_ctxt); }
1410 virtual bool gate (function *) { return flag_tree_slp_vectorize != 0; }
1411 virtual unsigned int execute (function *);
1412
1413 }; // class pass_slp_vectorize
1414
1415 unsigned int
1416 pass_slp_vectorize::execute (function *fun)
1417 {
1418 auto_purge_vect_location sentinel;
1419 basic_block bb;
1420
1421 bool in_loop_pipeline = scev_initialized_p ();
1422 if (!in_loop_pipeline)
1423 {
1424 loop_optimizer_init (LOOPS_NORMAL);
1425 scev_initialize ();
1426 }
1427
1428 /* Mark all stmts as not belonging to the current region and unvisited. */
1429 FOR_EACH_BB_FN (bb, fun)
1430 {
1431 for (gphi_iterator gsi = gsi_start_phis (bb); !gsi_end_p (gsi);
1432 gsi_next (&gsi))
1433 {
1434 gphi *stmt = gsi.phi ();
1435 gimple_set_uid (stmt, -1);
1436 gimple_set_visited (stmt, false);
1437 }
1438 for (gimple_stmt_iterator gsi = gsi_start_bb (bb); !gsi_end_p (gsi);
1439 gsi_next (&gsi))
1440 {
1441 gimple *stmt = gsi_stmt (gsi);
1442 gimple_set_uid (stmt, -1);
1443 gimple_set_visited (stmt, false);
1444 }
1445 }
1446
1447 vect_slp_init ();
1448
1449 vect_slp_function (fun);
1450
1451 vect_slp_fini ();
1452
1453 if (!in_loop_pipeline)
1454 {
1455 scev_finalize ();
1456 loop_optimizer_finalize ();
1457 }
1458
1459 return 0;
1460 }
1461
1462 } // anon namespace
1463
1464 gimple_opt_pass *
1465 make_pass_slp_vectorize (gcc::context *ctxt)
1466 {
1467 return new pass_slp_vectorize (ctxt);
1468 }
1469
1470
1471 /* Increase alignment of global arrays to improve vectorization potential.
1472 TODO:
1473 - Consider also structs that have an array field.
1474 - Use ipa analysis to prune arrays that can't be vectorized?
1475 This should involve global alignment analysis and in the future also
1476 array padding. */
1477
1478 static unsigned get_vec_alignment_for_type (tree);
1479 static hash_map<tree, unsigned> *type_align_map;
1480
1481 /* Return alignment of array's vector type corresponding to scalar type.
1482 0 if no vector type exists. */
1483 static unsigned
1484 get_vec_alignment_for_array_type (tree type)
1485 {
1486 gcc_assert (TREE_CODE (type) == ARRAY_TYPE);
1487 poly_uint64 array_size, vector_size;
1488
1489 tree scalar_type = strip_array_types (type);
1490 tree vectype = get_related_vectype_for_scalar_type (VOIDmode, scalar_type);
1491 if (!vectype
1492 || !poly_int_tree_p (TYPE_SIZE (type), &array_size)
1493 || !poly_int_tree_p (TYPE_SIZE (vectype), &vector_size)
1494 || maybe_lt (array_size, vector_size))
1495 return 0;
1496
1497 return TYPE_ALIGN (vectype);
1498 }
1499
1500 /* Return alignment of field having maximum alignment of vector type
1501 corresponding to it's scalar type. For now, we only consider fields whose
1502 offset is a multiple of it's vector alignment.
1503 0 if no suitable field is found. */
1504 static unsigned
1505 get_vec_alignment_for_record_type (tree type)
1506 {
1507 gcc_assert (TREE_CODE (type) == RECORD_TYPE);
1508
1509 unsigned max_align = 0, alignment;
1510 HOST_WIDE_INT offset;
1511 tree offset_tree;
1512
1513 if (TYPE_PACKED (type))
1514 return 0;
1515
1516 unsigned *slot = type_align_map->get (type);
1517 if (slot)
1518 return *slot;
1519
1520 for (tree field = first_field (type);
1521 field != NULL_TREE;
1522 field = DECL_CHAIN (field))
1523 {
1524 /* Skip if not FIELD_DECL or if alignment is set by user. */
1525 if (TREE_CODE (field) != FIELD_DECL
1526 || DECL_USER_ALIGN (field)
1527 || DECL_ARTIFICIAL (field))
1528 continue;
1529
1530 /* We don't need to process the type further if offset is variable,
1531 since the offsets of remaining members will also be variable. */
1532 if (TREE_CODE (DECL_FIELD_OFFSET (field)) != INTEGER_CST
1533 || TREE_CODE (DECL_FIELD_BIT_OFFSET (field)) != INTEGER_CST)
1534 break;
1535
1536 /* Similarly stop processing the type if offset_tree
1537 does not fit in unsigned HOST_WIDE_INT. */
1538 offset_tree = bit_position (field);
1539 if (!tree_fits_uhwi_p (offset_tree))
1540 break;
1541
1542 offset = tree_to_uhwi (offset_tree);
1543 alignment = get_vec_alignment_for_type (TREE_TYPE (field));
1544
1545 /* Get maximum alignment of vectorized field/array among those members
1546 whose offset is multiple of the vector alignment. */
1547 if (alignment
1548 && (offset % alignment == 0)
1549 && (alignment > max_align))
1550 max_align = alignment;
1551 }
1552
1553 type_align_map->put (type, max_align);
1554 return max_align;
1555 }
1556
1557 /* Return alignment of vector type corresponding to decl's scalar type
1558 or 0 if it doesn't exist or the vector alignment is lesser than
1559 decl's alignment. */
1560 static unsigned
1561 get_vec_alignment_for_type (tree type)
1562 {
1563 if (type == NULL_TREE)
1564 return 0;
1565
1566 gcc_assert (TYPE_P (type));
1567
1568 static unsigned alignment = 0;
1569 switch (TREE_CODE (type))
1570 {
1571 case ARRAY_TYPE:
1572 alignment = get_vec_alignment_for_array_type (type);
1573 break;
1574 case RECORD_TYPE:
1575 alignment = get_vec_alignment_for_record_type (type);
1576 break;
1577 default:
1578 alignment = 0;
1579 break;
1580 }
1581
1582 return (alignment > TYPE_ALIGN (type)) ? alignment : 0;
1583 }
1584
1585 /* Entry point to increase_alignment pass. */
1586 static unsigned int
1587 increase_alignment (void)
1588 {
1589 varpool_node *vnode;
1590
1591 vect_location = dump_user_location_t ();
1592 type_align_map = new hash_map<tree, unsigned>;
1593
1594 /* Increase the alignment of all global arrays for vectorization. */
1595 FOR_EACH_DEFINED_VARIABLE (vnode)
1596 {
1597 tree decl = vnode->decl;
1598 unsigned int alignment;
1599
1600 if ((decl_in_symtab_p (decl)
1601 && !symtab_node::get (decl)->can_increase_alignment_p ())
1602 || DECL_USER_ALIGN (decl) || DECL_ARTIFICIAL (decl))
1603 continue;
1604
1605 alignment = get_vec_alignment_for_type (TREE_TYPE (decl));
1606 if (alignment && vect_can_force_dr_alignment_p (decl, alignment))
1607 {
1608 vnode->increase_alignment (alignment);
1609 if (dump_enabled_p ())
1610 dump_printf (MSG_NOTE, "Increasing alignment of decl: %T\n", decl);
1611 }
1612 }
1613
1614 delete type_align_map;
1615 return 0;
1616 }
1617
1618
1619 namespace {
1620
1621 const pass_data pass_data_ipa_increase_alignment =
1622 {
1623 SIMPLE_IPA_PASS, /* type */
1624 "increase_alignment", /* name */
1625 OPTGROUP_LOOP | OPTGROUP_VEC, /* optinfo_flags */
1626 TV_IPA_OPT, /* tv_id */
1627 0, /* properties_required */
1628 0, /* properties_provided */
1629 0, /* properties_destroyed */
1630 0, /* todo_flags_start */
1631 0, /* todo_flags_finish */
1632 };
1633
1634 class pass_ipa_increase_alignment : public simple_ipa_opt_pass
1635 {
1636 public:
1637 pass_ipa_increase_alignment (gcc::context *ctxt)
1638 : simple_ipa_opt_pass (pass_data_ipa_increase_alignment, ctxt)
1639 {}
1640
1641 /* opt_pass methods: */
1642 virtual bool gate (function *)
1643 {
1644 return flag_section_anchors && flag_tree_loop_vectorize;
1645 }
1646
1647 virtual unsigned int execute (function *) { return increase_alignment (); }
1648
1649 }; // class pass_ipa_increase_alignment
1650
1651 } // anon namespace
1652
1653 simple_ipa_opt_pass *
1654 make_pass_ipa_increase_alignment (gcc::context *ctxt)
1655 {
1656 return new pass_ipa_increase_alignment (ctxt);
1657 }
1658
1659 /* If the condition represented by T is a comparison or the SSA name
1660 result of a comparison, extract the comparison's operands. Represent
1661 T as NE_EXPR <T, 0> otherwise. */
1662
1663 void
1664 scalar_cond_masked_key::get_cond_ops_from_tree (tree t)
1665 {
1666 if (TREE_CODE_CLASS (TREE_CODE (t)) == tcc_comparison)
1667 {
1668 this->code = TREE_CODE (t);
1669 this->op0 = TREE_OPERAND (t, 0);
1670 this->op1 = TREE_OPERAND (t, 1);
1671 return;
1672 }
1673
1674 if (TREE_CODE (t) == SSA_NAME)
1675 if (gassign *stmt = dyn_cast<gassign *> (SSA_NAME_DEF_STMT (t)))
1676 {
1677 tree_code code = gimple_assign_rhs_code (stmt);
1678 if (TREE_CODE_CLASS (code) == tcc_comparison)
1679 {
1680 this->code = code;
1681 this->op0 = gimple_assign_rhs1 (stmt);
1682 this->op1 = gimple_assign_rhs2 (stmt);
1683 return;
1684 }
1685 }
1686
1687 this->code = NE_EXPR;
1688 this->op0 = t;
1689 this->op1 = build_zero_cst (TREE_TYPE (t));
1690 }