gcc.dg/tree-ssa/ssa-dom-cse-2.c: xfail scan for mmix.
[gcc.git] / gcc / tree-vectorizer.c
1 /* Vectorizer
2 Copyright (C) 2003-2020 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, true);
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 /* If STMT has an associated stmt_vec_info, return that vec_info, otherwise
529 return null. It is safe to call this function on any statement, even if
530 it might not be part of the vectorizable region. */
531
532 stmt_vec_info
533 vec_info::lookup_stmt (gimple *stmt)
534 {
535 unsigned int uid = gimple_uid (stmt);
536 if (uid > 0 && uid - 1 < stmt_vec_infos.length ())
537 {
538 stmt_vec_info res = stmt_vec_infos[uid - 1];
539 if (res && res->stmt == stmt)
540 return res;
541 }
542 return NULL;
543 }
544
545 /* If NAME is an SSA_NAME and its definition has an associated stmt_vec_info,
546 return that stmt_vec_info, otherwise return null. It is safe to call
547 this on arbitrary operands. */
548
549 stmt_vec_info
550 vec_info::lookup_def (tree name)
551 {
552 if (TREE_CODE (name) == SSA_NAME
553 && !SSA_NAME_IS_DEFAULT_DEF (name))
554 return lookup_stmt (SSA_NAME_DEF_STMT (name));
555 return NULL;
556 }
557
558 /* See whether there is a single non-debug statement that uses LHS and
559 whether that statement has an associated stmt_vec_info. Return the
560 stmt_vec_info if so, otherwise return null. */
561
562 stmt_vec_info
563 vec_info::lookup_single_use (tree lhs)
564 {
565 use_operand_p dummy;
566 gimple *use_stmt;
567 if (single_imm_use (lhs, &dummy, &use_stmt))
568 return lookup_stmt (use_stmt);
569 return NULL;
570 }
571
572 /* Return vectorization information about DR. */
573
574 dr_vec_info *
575 vec_info::lookup_dr (data_reference *dr)
576 {
577 stmt_vec_info stmt_info = lookup_stmt (DR_STMT (dr));
578 /* DR_STMT should never refer to a stmt in a pattern replacement. */
579 gcc_checking_assert (!is_pattern_stmt_p (stmt_info));
580 return STMT_VINFO_DR_INFO (stmt_info->dr_aux.stmt);
581 }
582
583 /* Record that NEW_STMT_INFO now implements the same data reference
584 as OLD_STMT_INFO. */
585
586 void
587 vec_info::move_dr (stmt_vec_info new_stmt_info, stmt_vec_info old_stmt_info)
588 {
589 gcc_assert (!is_pattern_stmt_p (old_stmt_info));
590 STMT_VINFO_DR_INFO (old_stmt_info)->stmt = new_stmt_info;
591 new_stmt_info->dr_aux = old_stmt_info->dr_aux;
592 STMT_VINFO_DR_WRT_VEC_LOOP (new_stmt_info)
593 = STMT_VINFO_DR_WRT_VEC_LOOP (old_stmt_info);
594 STMT_VINFO_GATHER_SCATTER_P (new_stmt_info)
595 = STMT_VINFO_GATHER_SCATTER_P (old_stmt_info);
596 }
597
598 /* Permanently remove the statement described by STMT_INFO from the
599 function. */
600
601 void
602 vec_info::remove_stmt (stmt_vec_info stmt_info)
603 {
604 gcc_assert (!stmt_info->pattern_stmt_p);
605 set_vinfo_for_stmt (stmt_info->stmt, NULL);
606 gimple_stmt_iterator si = gsi_for_stmt (stmt_info->stmt);
607 unlink_stmt_vdef (stmt_info->stmt);
608 gsi_remove (&si, true);
609 release_defs (stmt_info->stmt);
610 free_stmt_vec_info (stmt_info);
611 }
612
613 /* Replace the statement at GSI by NEW_STMT, both the vectorization
614 information and the function itself. STMT_INFO describes the statement
615 at GSI. */
616
617 void
618 vec_info::replace_stmt (gimple_stmt_iterator *gsi, stmt_vec_info stmt_info,
619 gimple *new_stmt)
620 {
621 gimple *old_stmt = stmt_info->stmt;
622 gcc_assert (!stmt_info->pattern_stmt_p && old_stmt == gsi_stmt (*gsi));
623 gimple_set_uid (new_stmt, gimple_uid (old_stmt));
624 stmt_info->stmt = new_stmt;
625 gsi_replace (gsi, new_stmt, true);
626 }
627
628 /* Insert stmts in SEQ on the VEC_INFO region entry. If CONTEXT is
629 not NULL it specifies whether to use the sub-region entry
630 determined by it, currently used for loop vectorization to insert
631 on the inner loop entry vs. the outer loop entry. */
632
633 void
634 vec_info::insert_seq_on_entry (stmt_vec_info context, gimple_seq seq)
635 {
636 if (loop_vec_info loop_vinfo = dyn_cast <loop_vec_info> (this))
637 {
638 class loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
639 basic_block new_bb;
640 edge pe;
641
642 if (context && nested_in_vect_loop_p (loop, context))
643 loop = loop->inner;
644
645 pe = loop_preheader_edge (loop);
646 new_bb = gsi_insert_seq_on_edge_immediate (pe, seq);
647 gcc_assert (!new_bb);
648 }
649 else
650 {
651 bb_vec_info bb_vinfo = as_a <bb_vec_info> (this);
652 gimple_stmt_iterator gsi_region_begin = bb_vinfo->region_begin;
653 gsi_insert_seq_before (&gsi_region_begin, seq, GSI_SAME_STMT);
654 }
655 }
656
657 /* Like insert_seq_on_entry but just inserts the single stmt NEW_STMT. */
658
659 void
660 vec_info::insert_on_entry (stmt_vec_info context, gimple *new_stmt)
661 {
662 gimple_seq seq = NULL;
663 gimple_stmt_iterator gsi = gsi_start (seq);
664 gsi_insert_before_without_update (&gsi, new_stmt, GSI_SAME_STMT);
665 insert_seq_on_entry (context, seq);
666 }
667
668 /* Create and initialize a new stmt_vec_info struct for STMT. */
669
670 stmt_vec_info
671 vec_info::new_stmt_vec_info (gimple *stmt)
672 {
673 stmt_vec_info res = XCNEW (class _stmt_vec_info);
674 res->stmt = stmt;
675
676 STMT_VINFO_TYPE (res) = undef_vec_info_type;
677 STMT_VINFO_RELEVANT (res) = vect_unused_in_scope;
678 STMT_VINFO_VECTORIZABLE (res) = true;
679 STMT_VINFO_REDUC_TYPE (res) = TREE_CODE_REDUCTION;
680 STMT_VINFO_REDUC_CODE (res) = ERROR_MARK;
681 STMT_VINFO_REDUC_FN (res) = IFN_LAST;
682 STMT_VINFO_REDUC_IDX (res) = -1;
683 STMT_VINFO_SLP_VECT_ONLY (res) = false;
684 STMT_VINFO_VEC_STMTS (res) = vNULL;
685
686 if (gimple_code (stmt) == GIMPLE_PHI
687 && is_loop_header_bb_p (gimple_bb (stmt)))
688 STMT_VINFO_DEF_TYPE (res) = vect_unknown_def_type;
689 else
690 STMT_VINFO_DEF_TYPE (res) = vect_internal_def;
691
692 STMT_VINFO_SAME_ALIGN_REFS (res).create (0);
693 STMT_SLP_TYPE (res) = loop_vect;
694
695 /* This is really "uninitialized" until vect_compute_data_ref_alignment. */
696 res->dr_aux.misalignment = DR_MISALIGNMENT_UNINITIALIZED;
697
698 return res;
699 }
700
701 /* Associate STMT with INFO. */
702
703 void
704 vec_info::set_vinfo_for_stmt (gimple *stmt, stmt_vec_info info)
705 {
706 unsigned int uid = gimple_uid (stmt);
707 if (uid == 0)
708 {
709 gcc_assert (!stmt_vec_info_ro);
710 gcc_checking_assert (info);
711 uid = stmt_vec_infos.length () + 1;
712 gimple_set_uid (stmt, uid);
713 stmt_vec_infos.safe_push (info);
714 }
715 else
716 {
717 gcc_checking_assert (info == NULL);
718 stmt_vec_infos[uid - 1] = info;
719 }
720 }
721
722 /* Free the contents of stmt_vec_infos. */
723
724 void
725 vec_info::free_stmt_vec_infos (void)
726 {
727 unsigned int i;
728 stmt_vec_info info;
729 FOR_EACH_VEC_ELT (stmt_vec_infos, i, info)
730 if (info != NULL)
731 free_stmt_vec_info (info);
732 stmt_vec_infos.release ();
733 }
734
735 /* Free STMT_INFO. */
736
737 void
738 vec_info::free_stmt_vec_info (stmt_vec_info stmt_info)
739 {
740 if (stmt_info->pattern_stmt_p)
741 {
742 gimple_set_bb (stmt_info->stmt, NULL);
743 tree lhs = gimple_get_lhs (stmt_info->stmt);
744 if (lhs && TREE_CODE (lhs) == SSA_NAME)
745 release_ssa_name (lhs);
746 }
747
748 STMT_VINFO_SAME_ALIGN_REFS (stmt_info).release ();
749 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).release ();
750 STMT_VINFO_VEC_STMTS (stmt_info).release ();
751 free (stmt_info);
752 }
753
754 /* Returns true if S1 dominates S2. */
755
756 bool
757 vect_stmt_dominates_stmt_p (gimple *s1, gimple *s2)
758 {
759 basic_block bb1 = gimple_bb (s1), bb2 = gimple_bb (s2);
760
761 /* If bb1 is NULL, it should be a GIMPLE_NOP def stmt of an (D)
762 SSA_NAME. Assume it lives at the beginning of function and
763 thus dominates everything. */
764 if (!bb1 || s1 == s2)
765 return true;
766
767 /* If bb2 is NULL, it doesn't dominate any stmt with a bb. */
768 if (!bb2)
769 return false;
770
771 if (bb1 != bb2)
772 return dominated_by_p (CDI_DOMINATORS, bb2, bb1);
773
774 /* PHIs in the same basic block are assumed to be
775 executed all in parallel, if only one stmt is a PHI,
776 it dominates the other stmt in the same basic block. */
777 if (gimple_code (s1) == GIMPLE_PHI)
778 return true;
779
780 if (gimple_code (s2) == GIMPLE_PHI)
781 return false;
782
783 /* Inserted vectorized stmts all have UID 0 while the original stmts
784 in the IL have UID increasing within a BB. Walk from both sides
785 until we find the other stmt or a stmt with UID != 0. */
786 gimple_stmt_iterator gsi1 = gsi_for_stmt (s1);
787 while (gimple_uid (gsi_stmt (gsi1)) == 0)
788 {
789 gsi_next (&gsi1);
790 if (gsi_end_p (gsi1))
791 return false;
792 if (gsi_stmt (gsi1) == s2)
793 return true;
794 }
795 if (gimple_uid (gsi_stmt (gsi1)) == -1u)
796 return false;
797
798 gimple_stmt_iterator gsi2 = gsi_for_stmt (s2);
799 while (gimple_uid (gsi_stmt (gsi2)) == 0)
800 {
801 gsi_prev (&gsi2);
802 if (gsi_end_p (gsi2))
803 return false;
804 if (gsi_stmt (gsi2) == s1)
805 return true;
806 }
807 if (gimple_uid (gsi_stmt (gsi2)) == -1u)
808 return false;
809
810 if (gimple_uid (gsi_stmt (gsi1)) <= gimple_uid (gsi_stmt (gsi2)))
811 return true;
812 return false;
813 }
814
815 /* A helper function to free scev and LOOP niter information, as well as
816 clear loop constraint LOOP_C_FINITE. */
817
818 void
819 vect_free_loop_info_assumptions (class loop *loop)
820 {
821 scev_reset_htab ();
822 /* We need to explicitly reset upper bound information since they are
823 used even after free_numbers_of_iterations_estimates. */
824 loop->any_upper_bound = false;
825 loop->any_likely_upper_bound = false;
826 free_numbers_of_iterations_estimates (loop);
827 loop_constraint_clear (loop, LOOP_C_FINITE);
828 }
829
830 /* If LOOP has been versioned during ifcvt, return the internal call
831 guarding it. */
832
833 gimple *
834 vect_loop_vectorized_call (class loop *loop, gcond **cond)
835 {
836 basic_block bb = loop_preheader_edge (loop)->src;
837 gimple *g;
838 do
839 {
840 g = last_stmt (bb);
841 if (g)
842 break;
843 if (!single_pred_p (bb))
844 break;
845 bb = single_pred (bb);
846 }
847 while (1);
848 if (g && gimple_code (g) == GIMPLE_COND)
849 {
850 if (cond)
851 *cond = as_a <gcond *> (g);
852 gimple_stmt_iterator gsi = gsi_for_stmt (g);
853 gsi_prev (&gsi);
854 if (!gsi_end_p (gsi))
855 {
856 g = gsi_stmt (gsi);
857 if (gimple_call_internal_p (g, IFN_LOOP_VECTORIZED)
858 && (tree_to_shwi (gimple_call_arg (g, 0)) == loop->num
859 || tree_to_shwi (gimple_call_arg (g, 1)) == loop->num))
860 return g;
861 }
862 }
863 return NULL;
864 }
865
866 /* If LOOP has been versioned during loop distribution, return the gurading
867 internal call. */
868
869 static gimple *
870 vect_loop_dist_alias_call (class loop *loop)
871 {
872 basic_block bb;
873 basic_block entry;
874 class loop *outer, *orig;
875 gimple_stmt_iterator gsi;
876 gimple *g;
877
878 if (loop->orig_loop_num == 0)
879 return NULL;
880
881 orig = get_loop (cfun, loop->orig_loop_num);
882 if (orig == NULL)
883 {
884 /* The original loop is somehow destroyed. Clear the information. */
885 loop->orig_loop_num = 0;
886 return NULL;
887 }
888
889 if (loop != orig)
890 bb = nearest_common_dominator (CDI_DOMINATORS, loop->header, orig->header);
891 else
892 bb = loop_preheader_edge (loop)->src;
893
894 outer = bb->loop_father;
895 entry = ENTRY_BLOCK_PTR_FOR_FN (cfun);
896
897 /* Look upward in dominance tree. */
898 for (; bb != entry && flow_bb_inside_loop_p (outer, bb);
899 bb = get_immediate_dominator (CDI_DOMINATORS, bb))
900 {
901 g = last_stmt (bb);
902 if (g == NULL || gimple_code (g) != GIMPLE_COND)
903 continue;
904
905 gsi = gsi_for_stmt (g);
906 gsi_prev (&gsi);
907 if (gsi_end_p (gsi))
908 continue;
909
910 g = gsi_stmt (gsi);
911 /* The guarding internal function call must have the same distribution
912 alias id. */
913 if (gimple_call_internal_p (g, IFN_LOOP_DIST_ALIAS)
914 && (tree_to_shwi (gimple_call_arg (g, 0)) == loop->orig_loop_num))
915 return g;
916 }
917 return NULL;
918 }
919
920 /* Set the uids of all the statements in basic blocks inside loop
921 represented by LOOP_VINFO. LOOP_VECTORIZED_CALL is the internal
922 call guarding the loop which has been if converted. */
923 static void
924 set_uid_loop_bbs (loop_vec_info loop_vinfo, gimple *loop_vectorized_call)
925 {
926 tree arg = gimple_call_arg (loop_vectorized_call, 1);
927 basic_block *bbs;
928 unsigned int i;
929 class loop *scalar_loop = get_loop (cfun, tree_to_shwi (arg));
930
931 LOOP_VINFO_SCALAR_LOOP (loop_vinfo) = scalar_loop;
932 gcc_checking_assert (vect_loop_vectorized_call (scalar_loop)
933 == loop_vectorized_call);
934 /* If we are going to vectorize outer loop, prevent vectorization
935 of the inner loop in the scalar loop - either the scalar loop is
936 thrown away, so it is a wasted work, or is used only for
937 a few iterations. */
938 if (scalar_loop->inner)
939 {
940 gimple *g = vect_loop_vectorized_call (scalar_loop->inner);
941 if (g)
942 {
943 arg = gimple_call_arg (g, 0);
944 get_loop (cfun, tree_to_shwi (arg))->dont_vectorize = true;
945 fold_loop_internal_call (g, boolean_false_node);
946 }
947 }
948 bbs = get_loop_body (scalar_loop);
949 for (i = 0; i < scalar_loop->num_nodes; i++)
950 {
951 basic_block bb = bbs[i];
952 gimple_stmt_iterator gsi;
953 for (gsi = gsi_start_phis (bb); !gsi_end_p (gsi); gsi_next (&gsi))
954 {
955 gimple *phi = gsi_stmt (gsi);
956 gimple_set_uid (phi, 0);
957 }
958 for (gsi = gsi_start_bb (bb); !gsi_end_p (gsi); gsi_next (&gsi))
959 {
960 gimple *stmt = gsi_stmt (gsi);
961 gimple_set_uid (stmt, 0);
962 }
963 }
964 free (bbs);
965 }
966
967 /* Try to vectorize LOOP. */
968
969 static unsigned
970 try_vectorize_loop_1 (hash_table<simduid_to_vf> *&simduid_to_vf_htab,
971 unsigned *num_vectorized_loops, loop_p loop,
972 gimple *loop_vectorized_call,
973 gimple *loop_dist_alias_call)
974 {
975 unsigned ret = 0;
976 vec_info_shared shared;
977 auto_purge_vect_location sentinel;
978 vect_location = find_loop_location (loop);
979
980 if (LOCATION_LOCUS (vect_location.get_location_t ()) != UNKNOWN_LOCATION
981 && dump_enabled_p ())
982 dump_printf (MSG_NOTE | MSG_PRIORITY_INTERNALS,
983 "\nAnalyzing loop at %s:%d\n",
984 LOCATION_FILE (vect_location.get_location_t ()),
985 LOCATION_LINE (vect_location.get_location_t ()));
986
987 opt_loop_vec_info loop_vinfo = opt_loop_vec_info::success (NULL);
988 /* In the case of epilogue vectorization the loop already has its
989 loop_vec_info set, we do not require to analyze the loop in this case. */
990 if (loop_vec_info vinfo = loop_vec_info_for_loop (loop))
991 loop_vinfo = opt_loop_vec_info::success (vinfo);
992 else
993 {
994 /* Try to analyze the loop, retaining an opt_problem if dump_enabled_p. */
995 loop_vinfo = vect_analyze_loop (loop, &shared);
996 loop->aux = loop_vinfo;
997 }
998
999 if (!loop_vinfo)
1000 if (dump_enabled_p ())
1001 if (opt_problem *problem = loop_vinfo.get_problem ())
1002 {
1003 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1004 "couldn't vectorize loop\n");
1005 problem->emit_and_clear ();
1006 }
1007
1008 if (!loop_vinfo || !LOOP_VINFO_VECTORIZABLE_P (loop_vinfo))
1009 {
1010 /* Free existing information if loop is analyzed with some
1011 assumptions. */
1012 if (loop_constraint_set_p (loop, LOOP_C_FINITE))
1013 vect_free_loop_info_assumptions (loop);
1014
1015 /* If we applied if-conversion then try to vectorize the
1016 BB of innermost loops.
1017 ??? Ideally BB vectorization would learn to vectorize
1018 control flow by applying if-conversion on-the-fly, the
1019 following retains the if-converted loop body even when
1020 only non-if-converted parts took part in BB vectorization. */
1021 if (flag_tree_slp_vectorize != 0
1022 && loop_vectorized_call
1023 && ! loop->inner)
1024 {
1025 basic_block bb = loop->header;
1026 bool require_loop_vectorize = false;
1027 for (gimple_stmt_iterator gsi = gsi_start_bb (bb);
1028 !gsi_end_p (gsi); gsi_next (&gsi))
1029 {
1030 gimple *stmt = gsi_stmt (gsi);
1031 gcall *call = dyn_cast <gcall *> (stmt);
1032 if (call && gimple_call_internal_p (call))
1033 {
1034 internal_fn ifn = gimple_call_internal_fn (call);
1035 if (ifn == IFN_MASK_LOAD || ifn == IFN_MASK_STORE
1036 /* Don't keep the if-converted parts when the ifn with
1037 specifc type is not supported by the backend. */
1038 || (direct_internal_fn_p (ifn)
1039 && !direct_internal_fn_supported_p
1040 (call, OPTIMIZE_FOR_SPEED)))
1041 {
1042 require_loop_vectorize = true;
1043 break;
1044 }
1045 }
1046 gimple_set_uid (stmt, -1);
1047 gimple_set_visited (stmt, false);
1048 }
1049 if (!require_loop_vectorize && vect_slp_bb (bb))
1050 {
1051 if (dump_enabled_p ())
1052 dump_printf_loc (MSG_NOTE, vect_location,
1053 "basic block vectorized\n");
1054 fold_loop_internal_call (loop_vectorized_call,
1055 boolean_true_node);
1056 loop_vectorized_call = NULL;
1057 ret |= TODO_cleanup_cfg | TODO_update_ssa_only_virtuals;
1058 }
1059 }
1060 /* If outer loop vectorization fails for LOOP_VECTORIZED guarded
1061 loop, don't vectorize its inner loop; we'll attempt to
1062 vectorize LOOP_VECTORIZED guarded inner loop of the scalar
1063 loop version. */
1064 if (loop_vectorized_call && loop->inner)
1065 loop->inner->dont_vectorize = true;
1066 return ret;
1067 }
1068
1069 if (!dbg_cnt (vect_loop))
1070 {
1071 /* Free existing information if loop is analyzed with some
1072 assumptions. */
1073 if (loop_constraint_set_p (loop, LOOP_C_FINITE))
1074 vect_free_loop_info_assumptions (loop);
1075 return ret;
1076 }
1077
1078 if (loop_vectorized_call)
1079 set_uid_loop_bbs (loop_vinfo, loop_vectorized_call);
1080
1081 unsigned HOST_WIDE_INT bytes;
1082 if (dump_enabled_p ())
1083 {
1084 if (GET_MODE_SIZE (loop_vinfo->vector_mode).is_constant (&bytes))
1085 dump_printf_loc (MSG_OPTIMIZED_LOCATIONS, vect_location,
1086 "loop vectorized using %wu byte vectors\n", bytes);
1087 else
1088 dump_printf_loc (MSG_OPTIMIZED_LOCATIONS, vect_location,
1089 "loop vectorized using variable length vectors\n");
1090 }
1091
1092 loop_p new_loop = vect_transform_loop (loop_vinfo,
1093 loop_vectorized_call);
1094 (*num_vectorized_loops)++;
1095 /* Now that the loop has been vectorized, allow it to be unrolled
1096 etc. */
1097 loop->force_vectorize = false;
1098
1099 if (loop->simduid)
1100 {
1101 simduid_to_vf *simduid_to_vf_data = XNEW (simduid_to_vf);
1102 if (!simduid_to_vf_htab)
1103 simduid_to_vf_htab = new hash_table<simduid_to_vf> (15);
1104 simduid_to_vf_data->simduid = DECL_UID (loop->simduid);
1105 simduid_to_vf_data->vf = loop_vinfo->vectorization_factor;
1106 *simduid_to_vf_htab->find_slot (simduid_to_vf_data, INSERT)
1107 = simduid_to_vf_data;
1108 }
1109
1110 if (loop_vectorized_call)
1111 {
1112 fold_loop_internal_call (loop_vectorized_call, boolean_true_node);
1113 loop_vectorized_call = NULL;
1114 ret |= TODO_cleanup_cfg;
1115 }
1116 if (loop_dist_alias_call)
1117 {
1118 tree value = gimple_call_arg (loop_dist_alias_call, 1);
1119 fold_loop_internal_call (loop_dist_alias_call, value);
1120 loop_dist_alias_call = NULL;
1121 ret |= TODO_cleanup_cfg;
1122 }
1123
1124 /* Epilogue of vectorized loop must be vectorized too. */
1125 if (new_loop)
1126 {
1127 /* Don't include vectorized epilogues in the "vectorized loops" count.
1128 */
1129 unsigned dont_count = *num_vectorized_loops;
1130 ret |= try_vectorize_loop_1 (simduid_to_vf_htab, &dont_count,
1131 new_loop, NULL, NULL);
1132 }
1133
1134 return ret;
1135 }
1136
1137 /* Try to vectorize LOOP. */
1138
1139 static unsigned
1140 try_vectorize_loop (hash_table<simduid_to_vf> *&simduid_to_vf_htab,
1141 unsigned *num_vectorized_loops, loop_p loop)
1142 {
1143 if (!((flag_tree_loop_vectorize
1144 && optimize_loop_nest_for_speed_p (loop))
1145 || loop->force_vectorize))
1146 return 0;
1147
1148 return try_vectorize_loop_1 (simduid_to_vf_htab, num_vectorized_loops, loop,
1149 vect_loop_vectorized_call (loop),
1150 vect_loop_dist_alias_call (loop));
1151 }
1152
1153
1154 /* Function vectorize_loops.
1155
1156 Entry point to loop vectorization phase. */
1157
1158 unsigned
1159 vectorize_loops (void)
1160 {
1161 unsigned int i;
1162 unsigned int num_vectorized_loops = 0;
1163 unsigned int vect_loops_num;
1164 class loop *loop;
1165 hash_table<simduid_to_vf> *simduid_to_vf_htab = NULL;
1166 hash_table<simd_array_to_simduid> *simd_array_to_simduid_htab = NULL;
1167 bool any_ifcvt_loops = false;
1168 unsigned ret = 0;
1169
1170 vect_loops_num = number_of_loops (cfun);
1171
1172 /* Bail out if there are no loops. */
1173 if (vect_loops_num <= 1)
1174 return 0;
1175
1176 if (cfun->has_simduid_loops)
1177 note_simd_array_uses (&simd_array_to_simduid_htab);
1178
1179 /* ----------- Analyze loops. ----------- */
1180
1181 /* If some loop was duplicated, it gets bigger number
1182 than all previously defined loops. This fact allows us to run
1183 only over initial loops skipping newly generated ones. */
1184 FOR_EACH_LOOP (loop, 0)
1185 if (loop->dont_vectorize)
1186 {
1187 any_ifcvt_loops = true;
1188 /* If-conversion sometimes versions both the outer loop
1189 (for the case when outer loop vectorization might be
1190 desirable) as well as the inner loop in the scalar version
1191 of the loop. So we have:
1192 if (LOOP_VECTORIZED (1, 3))
1193 {
1194 loop1
1195 loop2
1196 }
1197 else
1198 loop3 (copy of loop1)
1199 if (LOOP_VECTORIZED (4, 5))
1200 loop4 (copy of loop2)
1201 else
1202 loop5 (copy of loop4)
1203 If FOR_EACH_LOOP gives us loop3 first (which has
1204 dont_vectorize set), make sure to process loop1 before loop4;
1205 so that we can prevent vectorization of loop4 if loop1
1206 is successfully vectorized. */
1207 if (loop->inner)
1208 {
1209 gimple *loop_vectorized_call
1210 = vect_loop_vectorized_call (loop);
1211 if (loop_vectorized_call
1212 && vect_loop_vectorized_call (loop->inner))
1213 {
1214 tree arg = gimple_call_arg (loop_vectorized_call, 0);
1215 class loop *vector_loop
1216 = get_loop (cfun, tree_to_shwi (arg));
1217 if (vector_loop && vector_loop != loop)
1218 {
1219 /* Make sure we don't vectorize it twice. */
1220 vector_loop->dont_vectorize = true;
1221 ret |= try_vectorize_loop (simduid_to_vf_htab,
1222 &num_vectorized_loops,
1223 vector_loop);
1224 }
1225 }
1226 }
1227 }
1228 else
1229 ret |= try_vectorize_loop (simduid_to_vf_htab, &num_vectorized_loops,
1230 loop);
1231
1232 vect_location = dump_user_location_t ();
1233
1234 statistics_counter_event (cfun, "Vectorized loops", num_vectorized_loops);
1235 if (dump_enabled_p ()
1236 || (num_vectorized_loops > 0 && dump_enabled_p ()))
1237 dump_printf_loc (MSG_NOTE, vect_location,
1238 "vectorized %u loops in function.\n",
1239 num_vectorized_loops);
1240
1241 /* ----------- Finalize. ----------- */
1242
1243 if (any_ifcvt_loops)
1244 for (i = 1; i < number_of_loops (cfun); i++)
1245 {
1246 loop = get_loop (cfun, i);
1247 if (loop && loop->dont_vectorize)
1248 {
1249 gimple *g = vect_loop_vectorized_call (loop);
1250 if (g)
1251 {
1252 fold_loop_internal_call (g, boolean_false_node);
1253 ret |= TODO_cleanup_cfg;
1254 g = NULL;
1255 }
1256 else
1257 g = vect_loop_dist_alias_call (loop);
1258
1259 if (g)
1260 {
1261 fold_loop_internal_call (g, boolean_false_node);
1262 ret |= TODO_cleanup_cfg;
1263 }
1264 }
1265 }
1266
1267 for (i = 1; i < number_of_loops (cfun); i++)
1268 {
1269 loop_vec_info loop_vinfo;
1270 bool has_mask_store;
1271
1272 loop = get_loop (cfun, i);
1273 if (!loop || !loop->aux)
1274 continue;
1275 loop_vinfo = (loop_vec_info) loop->aux;
1276 has_mask_store = LOOP_VINFO_HAS_MASK_STORE (loop_vinfo);
1277 delete loop_vinfo;
1278 if (has_mask_store
1279 && targetm.vectorize.empty_mask_is_expensive (IFN_MASK_STORE))
1280 optimize_mask_stores (loop);
1281 loop->aux = NULL;
1282 }
1283
1284 /* Fold IFN_GOMP_SIMD_{VF,LANE,LAST_LANE,ORDERED_{START,END}} builtins. */
1285 if (cfun->has_simduid_loops)
1286 adjust_simduid_builtins (simduid_to_vf_htab);
1287
1288 /* Shrink any "omp array simd" temporary arrays to the
1289 actual vectorization factors. */
1290 if (simd_array_to_simduid_htab)
1291 shrink_simd_arrays (simd_array_to_simduid_htab, simduid_to_vf_htab);
1292 delete simduid_to_vf_htab;
1293 cfun->has_simduid_loops = false;
1294
1295 if (num_vectorized_loops > 0)
1296 {
1297 /* If we vectorized any loop only virtual SSA form needs to be updated.
1298 ??? Also while we try hard to update loop-closed SSA form we fail
1299 to properly do this in some corner-cases (see PR56286). */
1300 rewrite_into_loop_closed_ssa (NULL, TODO_update_ssa_only_virtuals);
1301 return TODO_cleanup_cfg;
1302 }
1303
1304 return ret;
1305 }
1306
1307
1308 /* Entry point to the simduid cleanup pass. */
1309
1310 namespace {
1311
1312 const pass_data pass_data_simduid_cleanup =
1313 {
1314 GIMPLE_PASS, /* type */
1315 "simduid", /* name */
1316 OPTGROUP_NONE, /* optinfo_flags */
1317 TV_NONE, /* tv_id */
1318 ( PROP_ssa | PROP_cfg ), /* properties_required */
1319 0, /* properties_provided */
1320 0, /* properties_destroyed */
1321 0, /* todo_flags_start */
1322 0, /* todo_flags_finish */
1323 };
1324
1325 class pass_simduid_cleanup : public gimple_opt_pass
1326 {
1327 public:
1328 pass_simduid_cleanup (gcc::context *ctxt)
1329 : gimple_opt_pass (pass_data_simduid_cleanup, ctxt)
1330 {}
1331
1332 /* opt_pass methods: */
1333 opt_pass * clone () { return new pass_simduid_cleanup (m_ctxt); }
1334 virtual bool gate (function *fun) { return fun->has_simduid_loops; }
1335 virtual unsigned int execute (function *);
1336
1337 }; // class pass_simduid_cleanup
1338
1339 unsigned int
1340 pass_simduid_cleanup::execute (function *fun)
1341 {
1342 hash_table<simd_array_to_simduid> *simd_array_to_simduid_htab = NULL;
1343
1344 note_simd_array_uses (&simd_array_to_simduid_htab);
1345
1346 /* Fold IFN_GOMP_SIMD_{VF,LANE,LAST_LANE,ORDERED_{START,END}} builtins. */
1347 adjust_simduid_builtins (NULL);
1348
1349 /* Shrink any "omp array simd" temporary arrays to the
1350 actual vectorization factors. */
1351 if (simd_array_to_simduid_htab)
1352 shrink_simd_arrays (simd_array_to_simduid_htab, NULL);
1353 fun->has_simduid_loops = false;
1354 return 0;
1355 }
1356
1357 } // anon namespace
1358
1359 gimple_opt_pass *
1360 make_pass_simduid_cleanup (gcc::context *ctxt)
1361 {
1362 return new pass_simduid_cleanup (ctxt);
1363 }
1364
1365
1366 /* Entry point to basic block SLP phase. */
1367
1368 namespace {
1369
1370 const pass_data pass_data_slp_vectorize =
1371 {
1372 GIMPLE_PASS, /* type */
1373 "slp", /* name */
1374 OPTGROUP_LOOP | OPTGROUP_VEC, /* optinfo_flags */
1375 TV_TREE_SLP_VECTORIZATION, /* tv_id */
1376 ( PROP_ssa | PROP_cfg ), /* properties_required */
1377 0, /* properties_provided */
1378 0, /* properties_destroyed */
1379 0, /* todo_flags_start */
1380 TODO_update_ssa, /* todo_flags_finish */
1381 };
1382
1383 class pass_slp_vectorize : public gimple_opt_pass
1384 {
1385 public:
1386 pass_slp_vectorize (gcc::context *ctxt)
1387 : gimple_opt_pass (pass_data_slp_vectorize, ctxt)
1388 {}
1389
1390 /* opt_pass methods: */
1391 opt_pass * clone () { return new pass_slp_vectorize (m_ctxt); }
1392 virtual bool gate (function *) { return flag_tree_slp_vectorize != 0; }
1393 virtual unsigned int execute (function *);
1394
1395 }; // class pass_slp_vectorize
1396
1397 unsigned int
1398 pass_slp_vectorize::execute (function *fun)
1399 {
1400 auto_purge_vect_location sentinel;
1401 basic_block bb;
1402
1403 bool in_loop_pipeline = scev_initialized_p ();
1404 if (!in_loop_pipeline)
1405 {
1406 loop_optimizer_init (LOOPS_NORMAL);
1407 scev_initialize ();
1408 }
1409
1410 /* Mark all stmts as not belonging to the current region and unvisited. */
1411 FOR_EACH_BB_FN (bb, fun)
1412 {
1413 for (gimple_stmt_iterator gsi = gsi_start_bb (bb); !gsi_end_p (gsi);
1414 gsi_next (&gsi))
1415 {
1416 gimple *stmt = gsi_stmt (gsi);
1417 gimple_set_uid (stmt, -1);
1418 gimple_set_visited (stmt, false);
1419 }
1420 }
1421
1422 FOR_EACH_BB_FN (bb, fun)
1423 {
1424 if (vect_slp_bb (bb))
1425 if (dump_enabled_p ())
1426 dump_printf_loc (MSG_NOTE, vect_location, "basic block vectorized\n");
1427 }
1428
1429 if (!in_loop_pipeline)
1430 {
1431 scev_finalize ();
1432 loop_optimizer_finalize ();
1433 }
1434
1435 return 0;
1436 }
1437
1438 } // anon namespace
1439
1440 gimple_opt_pass *
1441 make_pass_slp_vectorize (gcc::context *ctxt)
1442 {
1443 return new pass_slp_vectorize (ctxt);
1444 }
1445
1446
1447 /* Increase alignment of global arrays to improve vectorization potential.
1448 TODO:
1449 - Consider also structs that have an array field.
1450 - Use ipa analysis to prune arrays that can't be vectorized?
1451 This should involve global alignment analysis and in the future also
1452 array padding. */
1453
1454 static unsigned get_vec_alignment_for_type (tree);
1455 static hash_map<tree, unsigned> *type_align_map;
1456
1457 /* Return alignment of array's vector type corresponding to scalar type.
1458 0 if no vector type exists. */
1459 static unsigned
1460 get_vec_alignment_for_array_type (tree type)
1461 {
1462 gcc_assert (TREE_CODE (type) == ARRAY_TYPE);
1463 poly_uint64 array_size, vector_size;
1464
1465 tree scalar_type = strip_array_types (type);
1466 tree vectype = get_related_vectype_for_scalar_type (VOIDmode, scalar_type);
1467 if (!vectype
1468 || !poly_int_tree_p (TYPE_SIZE (type), &array_size)
1469 || !poly_int_tree_p (TYPE_SIZE (vectype), &vector_size)
1470 || maybe_lt (array_size, vector_size))
1471 return 0;
1472
1473 return TYPE_ALIGN (vectype);
1474 }
1475
1476 /* Return alignment of field having maximum alignment of vector type
1477 corresponding to it's scalar type. For now, we only consider fields whose
1478 offset is a multiple of it's vector alignment.
1479 0 if no suitable field is found. */
1480 static unsigned
1481 get_vec_alignment_for_record_type (tree type)
1482 {
1483 gcc_assert (TREE_CODE (type) == RECORD_TYPE);
1484
1485 unsigned max_align = 0, alignment;
1486 HOST_WIDE_INT offset;
1487 tree offset_tree;
1488
1489 if (TYPE_PACKED (type))
1490 return 0;
1491
1492 unsigned *slot = type_align_map->get (type);
1493 if (slot)
1494 return *slot;
1495
1496 for (tree field = first_field (type);
1497 field != NULL_TREE;
1498 field = DECL_CHAIN (field))
1499 {
1500 /* Skip if not FIELD_DECL or if alignment is set by user. */
1501 if (TREE_CODE (field) != FIELD_DECL
1502 || DECL_USER_ALIGN (field)
1503 || DECL_ARTIFICIAL (field))
1504 continue;
1505
1506 /* We don't need to process the type further if offset is variable,
1507 since the offsets of remaining members will also be variable. */
1508 if (TREE_CODE (DECL_FIELD_OFFSET (field)) != INTEGER_CST
1509 || TREE_CODE (DECL_FIELD_BIT_OFFSET (field)) != INTEGER_CST)
1510 break;
1511
1512 /* Similarly stop processing the type if offset_tree
1513 does not fit in unsigned HOST_WIDE_INT. */
1514 offset_tree = bit_position (field);
1515 if (!tree_fits_uhwi_p (offset_tree))
1516 break;
1517
1518 offset = tree_to_uhwi (offset_tree);
1519 alignment = get_vec_alignment_for_type (TREE_TYPE (field));
1520
1521 /* Get maximum alignment of vectorized field/array among those members
1522 whose offset is multiple of the vector alignment. */
1523 if (alignment
1524 && (offset % alignment == 0)
1525 && (alignment > max_align))
1526 max_align = alignment;
1527 }
1528
1529 type_align_map->put (type, max_align);
1530 return max_align;
1531 }
1532
1533 /* Return alignment of vector type corresponding to decl's scalar type
1534 or 0 if it doesn't exist or the vector alignment is lesser than
1535 decl's alignment. */
1536 static unsigned
1537 get_vec_alignment_for_type (tree type)
1538 {
1539 if (type == NULL_TREE)
1540 return 0;
1541
1542 gcc_assert (TYPE_P (type));
1543
1544 static unsigned alignment = 0;
1545 switch (TREE_CODE (type))
1546 {
1547 case ARRAY_TYPE:
1548 alignment = get_vec_alignment_for_array_type (type);
1549 break;
1550 case RECORD_TYPE:
1551 alignment = get_vec_alignment_for_record_type (type);
1552 break;
1553 default:
1554 alignment = 0;
1555 break;
1556 }
1557
1558 return (alignment > TYPE_ALIGN (type)) ? alignment : 0;
1559 }
1560
1561 /* Entry point to increase_alignment pass. */
1562 static unsigned int
1563 increase_alignment (void)
1564 {
1565 varpool_node *vnode;
1566
1567 vect_location = dump_user_location_t ();
1568 type_align_map = new hash_map<tree, unsigned>;
1569
1570 /* Increase the alignment of all global arrays for vectorization. */
1571 FOR_EACH_DEFINED_VARIABLE (vnode)
1572 {
1573 tree decl = vnode->decl;
1574 unsigned int alignment;
1575
1576 if ((decl_in_symtab_p (decl)
1577 && !symtab_node::get (decl)->can_increase_alignment_p ())
1578 || DECL_USER_ALIGN (decl) || DECL_ARTIFICIAL (decl))
1579 continue;
1580
1581 alignment = get_vec_alignment_for_type (TREE_TYPE (decl));
1582 if (alignment && vect_can_force_dr_alignment_p (decl, alignment))
1583 {
1584 vnode->increase_alignment (alignment);
1585 if (dump_enabled_p ())
1586 dump_printf (MSG_NOTE, "Increasing alignment of decl: %T\n", decl);
1587 }
1588 }
1589
1590 delete type_align_map;
1591 return 0;
1592 }
1593
1594
1595 namespace {
1596
1597 const pass_data pass_data_ipa_increase_alignment =
1598 {
1599 SIMPLE_IPA_PASS, /* type */
1600 "increase_alignment", /* name */
1601 OPTGROUP_LOOP | OPTGROUP_VEC, /* optinfo_flags */
1602 TV_IPA_OPT, /* tv_id */
1603 0, /* properties_required */
1604 0, /* properties_provided */
1605 0, /* properties_destroyed */
1606 0, /* todo_flags_start */
1607 0, /* todo_flags_finish */
1608 };
1609
1610 class pass_ipa_increase_alignment : public simple_ipa_opt_pass
1611 {
1612 public:
1613 pass_ipa_increase_alignment (gcc::context *ctxt)
1614 : simple_ipa_opt_pass (pass_data_ipa_increase_alignment, ctxt)
1615 {}
1616
1617 /* opt_pass methods: */
1618 virtual bool gate (function *)
1619 {
1620 return flag_section_anchors && flag_tree_loop_vectorize;
1621 }
1622
1623 virtual unsigned int execute (function *) { return increase_alignment (); }
1624
1625 }; // class pass_ipa_increase_alignment
1626
1627 } // anon namespace
1628
1629 simple_ipa_opt_pass *
1630 make_pass_ipa_increase_alignment (gcc::context *ctxt)
1631 {
1632 return new pass_ipa_increase_alignment (ctxt);
1633 }
1634
1635 /* If the condition represented by T is a comparison or the SSA name
1636 result of a comparison, extract the comparison's operands. Represent
1637 T as NE_EXPR <T, 0> otherwise. */
1638
1639 void
1640 scalar_cond_masked_key::get_cond_ops_from_tree (tree t)
1641 {
1642 if (TREE_CODE_CLASS (TREE_CODE (t)) == tcc_comparison)
1643 {
1644 this->code = TREE_CODE (t);
1645 this->op0 = TREE_OPERAND (t, 0);
1646 this->op1 = TREE_OPERAND (t, 1);
1647 return;
1648 }
1649
1650 if (TREE_CODE (t) == SSA_NAME)
1651 if (gassign *stmt = dyn_cast<gassign *> (SSA_NAME_DEF_STMT (t)))
1652 {
1653 tree_code code = gimple_assign_rhs_code (stmt);
1654 if (TREE_CODE_CLASS (code) == tcc_comparison)
1655 {
1656 this->code = code;
1657 this->op0 = gimple_assign_rhs1 (stmt);
1658 this->op1 = gimple_assign_rhs2 (stmt);
1659 return;
1660 }
1661 }
1662
1663 this->code = NE_EXPR;
1664 this->op0 = t;
1665 this->op1 = build_zero_cst (TREE_TYPE (t));
1666 }