* oacc-parallel.c (GOACC_parallel): Move variadic handling into
[official-gcc.git] / gcc / tree-vect-stmts.c
blobf06e57c6974c1f69078b502fca06d897961ac82d
1 /* Statement Analysis and Transformation for Vectorization
2 Copyright (C) 2003-2015 Free Software Foundation, Inc.
3 Contributed by Dorit Naishlos <dorit@il.ibm.com>
4 and Ira Rosen <irar@il.ibm.com>
6 This file is part of GCC.
8 GCC is free software; you can redistribute it and/or modify it under
9 the terms of the GNU General Public License as published by the Free
10 Software Foundation; either version 3, or (at your option) any later
11 version.
13 GCC is distributed in the hope that it will be useful, but WITHOUT ANY
14 WARRANTY; without even the implied warranty of MERCHANTABILITY or
15 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
16 for more details.
18 You should have received a copy of the GNU General Public License
19 along with GCC; see the file COPYING3. If not see
20 <http://www.gnu.org/licenses/>. */
22 #include "config.h"
23 #include "system.h"
24 #include "coretypes.h"
25 #include "dumpfile.h"
26 #include "backend.h"
27 #include "tree.h"
28 #include "gimple.h"
29 #include "rtl.h"
30 #include "ssa.h"
31 #include "alias.h"
32 #include "fold-const.h"
33 #include "stor-layout.h"
34 #include "target.h"
35 #include "gimple-pretty-print.h"
36 #include "internal-fn.h"
37 #include "tree-eh.h"
38 #include "gimplify.h"
39 #include "gimple-iterator.h"
40 #include "gimplify-me.h"
41 #include "tree-cfg.h"
42 #include "tree-ssa-loop-manip.h"
43 #include "cfgloop.h"
44 #include "tree-ssa-loop.h"
45 #include "tree-scalar-evolution.h"
46 #include "flags.h"
47 #include "insn-config.h"
48 #include "expmed.h"
49 #include "dojump.h"
50 #include "explow.h"
51 #include "calls.h"
52 #include "emit-rtl.h"
53 #include "varasm.h"
54 #include "stmt.h"
55 #include "expr.h"
56 #include "recog.h" /* FIXME: for insn_data */
57 #include "insn-codes.h"
58 #include "optabs.h"
59 #include "diagnostic-core.h"
60 #include "tree-vectorizer.h"
61 #include "cgraph.h"
62 #include "builtins.h"
64 /* For lang_hooks.types.type_for_mode. */
65 #include "langhooks.h"
67 /* Return the vectorized type for the given statement. */
69 tree
70 stmt_vectype (struct _stmt_vec_info *stmt_info)
72 return STMT_VINFO_VECTYPE (stmt_info);
75 /* Return TRUE iff the given statement is in an inner loop relative to
76 the loop being vectorized. */
77 bool
78 stmt_in_inner_loop_p (struct _stmt_vec_info *stmt_info)
80 gimple stmt = STMT_VINFO_STMT (stmt_info);
81 basic_block bb = gimple_bb (stmt);
82 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
83 struct loop* loop;
85 if (!loop_vinfo)
86 return false;
88 loop = LOOP_VINFO_LOOP (loop_vinfo);
90 return (bb->loop_father == loop->inner);
93 /* Record the cost of a statement, either by directly informing the
94 target model or by saving it in a vector for later processing.
95 Return a preliminary estimate of the statement's cost. */
97 unsigned
98 record_stmt_cost (stmt_vector_for_cost *body_cost_vec, int count,
99 enum vect_cost_for_stmt kind, stmt_vec_info stmt_info,
100 int misalign, enum vect_cost_model_location where)
102 if (body_cost_vec)
104 tree vectype = stmt_info ? stmt_vectype (stmt_info) : NULL_TREE;
105 add_stmt_info_to_vec (body_cost_vec, count, kind,
106 stmt_info ? STMT_VINFO_STMT (stmt_info) : NULL,
107 misalign);
108 return (unsigned)
109 (builtin_vectorization_cost (kind, vectype, misalign) * count);
112 else
114 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
115 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
116 void *target_cost_data;
118 if (loop_vinfo)
119 target_cost_data = LOOP_VINFO_TARGET_COST_DATA (loop_vinfo);
120 else
121 target_cost_data = BB_VINFO_TARGET_COST_DATA (bb_vinfo);
123 return add_stmt_cost (target_cost_data, count, kind, stmt_info,
124 misalign, where);
128 /* Return a variable of type ELEM_TYPE[NELEMS]. */
130 static tree
131 create_vector_array (tree elem_type, unsigned HOST_WIDE_INT nelems)
133 return create_tmp_var (build_array_type_nelts (elem_type, nelems),
134 "vect_array");
137 /* ARRAY is an array of vectors created by create_vector_array.
138 Return an SSA_NAME for the vector in index N. The reference
139 is part of the vectorization of STMT and the vector is associated
140 with scalar destination SCALAR_DEST. */
142 static tree
143 read_vector_array (gimple stmt, gimple_stmt_iterator *gsi, tree scalar_dest,
144 tree array, unsigned HOST_WIDE_INT n)
146 tree vect_type, vect, vect_name, array_ref;
147 gimple new_stmt;
149 gcc_assert (TREE_CODE (TREE_TYPE (array)) == ARRAY_TYPE);
150 vect_type = TREE_TYPE (TREE_TYPE (array));
151 vect = vect_create_destination_var (scalar_dest, vect_type);
152 array_ref = build4 (ARRAY_REF, vect_type, array,
153 build_int_cst (size_type_node, n),
154 NULL_TREE, NULL_TREE);
156 new_stmt = gimple_build_assign (vect, array_ref);
157 vect_name = make_ssa_name (vect, new_stmt);
158 gimple_assign_set_lhs (new_stmt, vect_name);
159 vect_finish_stmt_generation (stmt, new_stmt, gsi);
161 return vect_name;
164 /* ARRAY is an array of vectors created by create_vector_array.
165 Emit code to store SSA_NAME VECT in index N of the array.
166 The store is part of the vectorization of STMT. */
168 static void
169 write_vector_array (gimple stmt, gimple_stmt_iterator *gsi, tree vect,
170 tree array, unsigned HOST_WIDE_INT n)
172 tree array_ref;
173 gimple new_stmt;
175 array_ref = build4 (ARRAY_REF, TREE_TYPE (vect), array,
176 build_int_cst (size_type_node, n),
177 NULL_TREE, NULL_TREE);
179 new_stmt = gimple_build_assign (array_ref, vect);
180 vect_finish_stmt_generation (stmt, new_stmt, gsi);
183 /* PTR is a pointer to an array of type TYPE. Return a representation
184 of *PTR. The memory reference replaces those in FIRST_DR
185 (and its group). */
187 static tree
188 create_array_ref (tree type, tree ptr, struct data_reference *first_dr)
190 tree mem_ref, alias_ptr_type;
192 alias_ptr_type = reference_alias_ptr_type (DR_REF (first_dr));
193 mem_ref = build2 (MEM_REF, type, ptr, build_int_cst (alias_ptr_type, 0));
194 /* Arrays have the same alignment as their type. */
195 set_ptr_info_alignment (get_ptr_info (ptr), TYPE_ALIGN_UNIT (type), 0);
196 return mem_ref;
199 /* Utility functions used by vect_mark_stmts_to_be_vectorized. */
201 /* Function vect_mark_relevant.
203 Mark STMT as "relevant for vectorization" and add it to WORKLIST. */
205 static void
206 vect_mark_relevant (vec<gimple> *worklist, gimple stmt,
207 enum vect_relevant relevant, bool live_p,
208 bool used_in_pattern)
210 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
211 enum vect_relevant save_relevant = STMT_VINFO_RELEVANT (stmt_info);
212 bool save_live_p = STMT_VINFO_LIVE_P (stmt_info);
213 gimple pattern_stmt;
215 if (dump_enabled_p ())
216 dump_printf_loc (MSG_NOTE, vect_location,
217 "mark relevant %d, live %d.\n", relevant, live_p);
219 /* If this stmt is an original stmt in a pattern, we might need to mark its
220 related pattern stmt instead of the original stmt. However, such stmts
221 may have their own uses that are not in any pattern, in such cases the
222 stmt itself should be marked. */
223 if (STMT_VINFO_IN_PATTERN_P (stmt_info))
225 bool found = false;
226 if (!used_in_pattern)
228 imm_use_iterator imm_iter;
229 use_operand_p use_p;
230 gimple use_stmt;
231 tree lhs;
232 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
233 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
235 if (is_gimple_assign (stmt))
236 lhs = gimple_assign_lhs (stmt);
237 else
238 lhs = gimple_call_lhs (stmt);
240 /* This use is out of pattern use, if LHS has other uses that are
241 pattern uses, we should mark the stmt itself, and not the pattern
242 stmt. */
243 if (lhs && TREE_CODE (lhs) == SSA_NAME)
244 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, lhs)
246 if (is_gimple_debug (USE_STMT (use_p)))
247 continue;
248 use_stmt = USE_STMT (use_p);
250 if (!flow_bb_inside_loop_p (loop, gimple_bb (use_stmt)))
251 continue;
253 if (vinfo_for_stmt (use_stmt)
254 && STMT_VINFO_IN_PATTERN_P (vinfo_for_stmt (use_stmt)))
256 found = true;
257 break;
262 if (!found)
264 /* This is the last stmt in a sequence that was detected as a
265 pattern that can potentially be vectorized. Don't mark the stmt
266 as relevant/live because it's not going to be vectorized.
267 Instead mark the pattern-stmt that replaces it. */
269 pattern_stmt = STMT_VINFO_RELATED_STMT (stmt_info);
271 if (dump_enabled_p ())
272 dump_printf_loc (MSG_NOTE, vect_location,
273 "last stmt in pattern. don't mark"
274 " relevant/live.\n");
275 stmt_info = vinfo_for_stmt (pattern_stmt);
276 gcc_assert (STMT_VINFO_RELATED_STMT (stmt_info) == stmt);
277 save_relevant = STMT_VINFO_RELEVANT (stmt_info);
278 save_live_p = STMT_VINFO_LIVE_P (stmt_info);
279 stmt = pattern_stmt;
283 STMT_VINFO_LIVE_P (stmt_info) |= live_p;
284 if (relevant > STMT_VINFO_RELEVANT (stmt_info))
285 STMT_VINFO_RELEVANT (stmt_info) = relevant;
287 if (STMT_VINFO_RELEVANT (stmt_info) == save_relevant
288 && STMT_VINFO_LIVE_P (stmt_info) == save_live_p)
290 if (dump_enabled_p ())
291 dump_printf_loc (MSG_NOTE, vect_location,
292 "already marked relevant/live.\n");
293 return;
296 worklist->safe_push (stmt);
300 /* Function vect_stmt_relevant_p.
302 Return true if STMT in loop that is represented by LOOP_VINFO is
303 "relevant for vectorization".
305 A stmt is considered "relevant for vectorization" if:
306 - it has uses outside the loop.
307 - it has vdefs (it alters memory).
308 - control stmts in the loop (except for the exit condition).
310 CHECKME: what other side effects would the vectorizer allow? */
312 static bool
313 vect_stmt_relevant_p (gimple stmt, loop_vec_info loop_vinfo,
314 enum vect_relevant *relevant, bool *live_p)
316 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
317 ssa_op_iter op_iter;
318 imm_use_iterator imm_iter;
319 use_operand_p use_p;
320 def_operand_p def_p;
322 *relevant = vect_unused_in_scope;
323 *live_p = false;
325 /* cond stmt other than loop exit cond. */
326 if (is_ctrl_stmt (stmt)
327 && STMT_VINFO_TYPE (vinfo_for_stmt (stmt))
328 != loop_exit_ctrl_vec_info_type)
329 *relevant = vect_used_in_scope;
331 /* changing memory. */
332 if (gimple_code (stmt) != GIMPLE_PHI)
333 if (gimple_vdef (stmt)
334 && !gimple_clobber_p (stmt))
336 if (dump_enabled_p ())
337 dump_printf_loc (MSG_NOTE, vect_location,
338 "vec_stmt_relevant_p: stmt has vdefs.\n");
339 *relevant = vect_used_in_scope;
342 /* uses outside the loop. */
343 FOR_EACH_PHI_OR_STMT_DEF (def_p, stmt, op_iter, SSA_OP_DEF)
345 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, DEF_FROM_PTR (def_p))
347 basic_block bb = gimple_bb (USE_STMT (use_p));
348 if (!flow_bb_inside_loop_p (loop, bb))
350 if (dump_enabled_p ())
351 dump_printf_loc (MSG_NOTE, vect_location,
352 "vec_stmt_relevant_p: used out of loop.\n");
354 if (is_gimple_debug (USE_STMT (use_p)))
355 continue;
357 /* We expect all such uses to be in the loop exit phis
358 (because of loop closed form) */
359 gcc_assert (gimple_code (USE_STMT (use_p)) == GIMPLE_PHI);
360 gcc_assert (bb == single_exit (loop)->dest);
362 *live_p = true;
367 return (*live_p || *relevant);
371 /* Function exist_non_indexing_operands_for_use_p
373 USE is one of the uses attached to STMT. Check if USE is
374 used in STMT for anything other than indexing an array. */
376 static bool
377 exist_non_indexing_operands_for_use_p (tree use, gimple stmt)
379 tree operand;
380 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
382 /* USE corresponds to some operand in STMT. If there is no data
383 reference in STMT, then any operand that corresponds to USE
384 is not indexing an array. */
385 if (!STMT_VINFO_DATA_REF (stmt_info))
386 return true;
388 /* STMT has a data_ref. FORNOW this means that its of one of
389 the following forms:
390 -1- ARRAY_REF = var
391 -2- var = ARRAY_REF
392 (This should have been verified in analyze_data_refs).
394 'var' in the second case corresponds to a def, not a use,
395 so USE cannot correspond to any operands that are not used
396 for array indexing.
398 Therefore, all we need to check is if STMT falls into the
399 first case, and whether var corresponds to USE. */
401 if (!gimple_assign_copy_p (stmt))
403 if (is_gimple_call (stmt)
404 && gimple_call_internal_p (stmt))
405 switch (gimple_call_internal_fn (stmt))
407 case IFN_MASK_STORE:
408 operand = gimple_call_arg (stmt, 3);
409 if (operand == use)
410 return true;
411 /* FALLTHRU */
412 case IFN_MASK_LOAD:
413 operand = gimple_call_arg (stmt, 2);
414 if (operand == use)
415 return true;
416 break;
417 default:
418 break;
420 return false;
423 if (TREE_CODE (gimple_assign_lhs (stmt)) == SSA_NAME)
424 return false;
425 operand = gimple_assign_rhs1 (stmt);
426 if (TREE_CODE (operand) != SSA_NAME)
427 return false;
429 if (operand == use)
430 return true;
432 return false;
437 Function process_use.
439 Inputs:
440 - a USE in STMT in a loop represented by LOOP_VINFO
441 - LIVE_P, RELEVANT - enum values to be set in the STMT_VINFO of the stmt
442 that defined USE. This is done by calling mark_relevant and passing it
443 the WORKLIST (to add DEF_STMT to the WORKLIST in case it is relevant).
444 - FORCE is true if exist_non_indexing_operands_for_use_p check shouldn't
445 be performed.
447 Outputs:
448 Generally, LIVE_P and RELEVANT are used to define the liveness and
449 relevance info of the DEF_STMT of this USE:
450 STMT_VINFO_LIVE_P (DEF_STMT_info) <-- live_p
451 STMT_VINFO_RELEVANT (DEF_STMT_info) <-- relevant
452 Exceptions:
453 - case 1: If USE is used only for address computations (e.g. array indexing),
454 which does not need to be directly vectorized, then the liveness/relevance
455 of the respective DEF_STMT is left unchanged.
456 - case 2: If STMT is a reduction phi and DEF_STMT is a reduction stmt, we
457 skip DEF_STMT cause it had already been processed.
458 - case 3: If DEF_STMT and STMT are in different nests, then "relevant" will
459 be modified accordingly.
461 Return true if everything is as expected. Return false otherwise. */
463 static bool
464 process_use (gimple stmt, tree use, loop_vec_info loop_vinfo, bool live_p,
465 enum vect_relevant relevant, vec<gimple> *worklist,
466 bool force)
468 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
469 stmt_vec_info stmt_vinfo = vinfo_for_stmt (stmt);
470 stmt_vec_info dstmt_vinfo;
471 basic_block bb, def_bb;
472 tree def;
473 gimple def_stmt;
474 enum vect_def_type dt;
476 /* case 1: we are only interested in uses that need to be vectorized. Uses
477 that are used for address computation are not considered relevant. */
478 if (!force && !exist_non_indexing_operands_for_use_p (use, stmt))
479 return true;
481 if (!vect_is_simple_use (use, stmt, loop_vinfo, NULL, &def_stmt, &def, &dt))
483 if (dump_enabled_p ())
484 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
485 "not vectorized: unsupported use in stmt.\n");
486 return false;
489 if (!def_stmt || gimple_nop_p (def_stmt))
490 return true;
492 def_bb = gimple_bb (def_stmt);
493 if (!flow_bb_inside_loop_p (loop, def_bb))
495 if (dump_enabled_p ())
496 dump_printf_loc (MSG_NOTE, vect_location, "def_stmt is out of loop.\n");
497 return true;
500 /* case 2: A reduction phi (STMT) defined by a reduction stmt (DEF_STMT).
501 DEF_STMT must have already been processed, because this should be the
502 only way that STMT, which is a reduction-phi, was put in the worklist,
503 as there should be no other uses for DEF_STMT in the loop. So we just
504 check that everything is as expected, and we are done. */
505 dstmt_vinfo = vinfo_for_stmt (def_stmt);
506 bb = gimple_bb (stmt);
507 if (gimple_code (stmt) == GIMPLE_PHI
508 && STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_reduction_def
509 && gimple_code (def_stmt) != GIMPLE_PHI
510 && STMT_VINFO_DEF_TYPE (dstmt_vinfo) == vect_reduction_def
511 && bb->loop_father == def_bb->loop_father)
513 if (dump_enabled_p ())
514 dump_printf_loc (MSG_NOTE, vect_location,
515 "reduc-stmt defining reduc-phi in the same nest.\n");
516 if (STMT_VINFO_IN_PATTERN_P (dstmt_vinfo))
517 dstmt_vinfo = vinfo_for_stmt (STMT_VINFO_RELATED_STMT (dstmt_vinfo));
518 gcc_assert (STMT_VINFO_RELEVANT (dstmt_vinfo) < vect_used_by_reduction);
519 gcc_assert (STMT_VINFO_LIVE_P (dstmt_vinfo)
520 || STMT_VINFO_RELEVANT (dstmt_vinfo) > vect_unused_in_scope);
521 return true;
524 /* case 3a: outer-loop stmt defining an inner-loop stmt:
525 outer-loop-header-bb:
526 d = def_stmt
527 inner-loop:
528 stmt # use (d)
529 outer-loop-tail-bb:
530 ... */
531 if (flow_loop_nested_p (def_bb->loop_father, bb->loop_father))
533 if (dump_enabled_p ())
534 dump_printf_loc (MSG_NOTE, vect_location,
535 "outer-loop def-stmt defining inner-loop stmt.\n");
537 switch (relevant)
539 case vect_unused_in_scope:
540 relevant = (STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_nested_cycle) ?
541 vect_used_in_scope : vect_unused_in_scope;
542 break;
544 case vect_used_in_outer_by_reduction:
545 gcc_assert (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_reduction_def);
546 relevant = vect_used_by_reduction;
547 break;
549 case vect_used_in_outer:
550 gcc_assert (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_reduction_def);
551 relevant = vect_used_in_scope;
552 break;
554 case vect_used_in_scope:
555 break;
557 default:
558 gcc_unreachable ();
562 /* case 3b: inner-loop stmt defining an outer-loop stmt:
563 outer-loop-header-bb:
565 inner-loop:
566 d = def_stmt
567 outer-loop-tail-bb (or outer-loop-exit-bb in double reduction):
568 stmt # use (d) */
569 else if (flow_loop_nested_p (bb->loop_father, def_bb->loop_father))
571 if (dump_enabled_p ())
572 dump_printf_loc (MSG_NOTE, vect_location,
573 "inner-loop def-stmt defining outer-loop stmt.\n");
575 switch (relevant)
577 case vect_unused_in_scope:
578 relevant = (STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_reduction_def
579 || STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_double_reduction_def) ?
580 vect_used_in_outer_by_reduction : vect_unused_in_scope;
581 break;
583 case vect_used_by_reduction:
584 relevant = vect_used_in_outer_by_reduction;
585 break;
587 case vect_used_in_scope:
588 relevant = vect_used_in_outer;
589 break;
591 default:
592 gcc_unreachable ();
596 vect_mark_relevant (worklist, def_stmt, relevant, live_p,
597 is_pattern_stmt_p (stmt_vinfo));
598 return true;
602 /* Function vect_mark_stmts_to_be_vectorized.
604 Not all stmts in the loop need to be vectorized. For example:
606 for i...
607 for j...
608 1. T0 = i + j
609 2. T1 = a[T0]
611 3. j = j + 1
613 Stmt 1 and 3 do not need to be vectorized, because loop control and
614 addressing of vectorized data-refs are handled differently.
616 This pass detects such stmts. */
618 bool
619 vect_mark_stmts_to_be_vectorized (loop_vec_info loop_vinfo)
621 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
622 basic_block *bbs = LOOP_VINFO_BBS (loop_vinfo);
623 unsigned int nbbs = loop->num_nodes;
624 gimple_stmt_iterator si;
625 gimple stmt;
626 unsigned int i;
627 stmt_vec_info stmt_vinfo;
628 basic_block bb;
629 gimple phi;
630 bool live_p;
631 enum vect_relevant relevant, tmp_relevant;
632 enum vect_def_type def_type;
634 if (dump_enabled_p ())
635 dump_printf_loc (MSG_NOTE, vect_location,
636 "=== vect_mark_stmts_to_be_vectorized ===\n");
638 auto_vec<gimple, 64> worklist;
640 /* 1. Init worklist. */
641 for (i = 0; i < nbbs; i++)
643 bb = bbs[i];
644 for (si = gsi_start_phis (bb); !gsi_end_p (si); gsi_next (&si))
646 phi = gsi_stmt (si);
647 if (dump_enabled_p ())
649 dump_printf_loc (MSG_NOTE, vect_location, "init: phi relevant? ");
650 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, phi, 0);
653 if (vect_stmt_relevant_p (phi, loop_vinfo, &relevant, &live_p))
654 vect_mark_relevant (&worklist, phi, relevant, live_p, false);
656 for (si = gsi_start_bb (bb); !gsi_end_p (si); gsi_next (&si))
658 stmt = gsi_stmt (si);
659 if (dump_enabled_p ())
661 dump_printf_loc (MSG_NOTE, vect_location, "init: stmt relevant? ");
662 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
665 if (vect_stmt_relevant_p (stmt, loop_vinfo, &relevant, &live_p))
666 vect_mark_relevant (&worklist, stmt, relevant, live_p, false);
670 /* 2. Process_worklist */
671 while (worklist.length () > 0)
673 use_operand_p use_p;
674 ssa_op_iter iter;
676 stmt = worklist.pop ();
677 if (dump_enabled_p ())
679 dump_printf_loc (MSG_NOTE, vect_location, "worklist: examine stmt: ");
680 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
683 /* Examine the USEs of STMT. For each USE, mark the stmt that defines it
684 (DEF_STMT) as relevant/irrelevant and live/dead according to the
685 liveness and relevance properties of STMT. */
686 stmt_vinfo = vinfo_for_stmt (stmt);
687 relevant = STMT_VINFO_RELEVANT (stmt_vinfo);
688 live_p = STMT_VINFO_LIVE_P (stmt_vinfo);
690 /* Generally, the liveness and relevance properties of STMT are
691 propagated as is to the DEF_STMTs of its USEs:
692 live_p <-- STMT_VINFO_LIVE_P (STMT_VINFO)
693 relevant <-- STMT_VINFO_RELEVANT (STMT_VINFO)
695 One exception is when STMT has been identified as defining a reduction
696 variable; in this case we set the liveness/relevance as follows:
697 live_p = false
698 relevant = vect_used_by_reduction
699 This is because we distinguish between two kinds of relevant stmts -
700 those that are used by a reduction computation, and those that are
701 (also) used by a regular computation. This allows us later on to
702 identify stmts that are used solely by a reduction, and therefore the
703 order of the results that they produce does not have to be kept. */
705 def_type = STMT_VINFO_DEF_TYPE (stmt_vinfo);
706 tmp_relevant = relevant;
707 switch (def_type)
709 case vect_reduction_def:
710 switch (tmp_relevant)
712 case vect_unused_in_scope:
713 relevant = vect_used_by_reduction;
714 break;
716 case vect_used_by_reduction:
717 if (gimple_code (stmt) == GIMPLE_PHI)
718 break;
719 /* fall through */
721 default:
722 if (dump_enabled_p ())
723 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
724 "unsupported use of reduction.\n");
725 return false;
728 live_p = false;
729 break;
731 case vect_nested_cycle:
732 if (tmp_relevant != vect_unused_in_scope
733 && tmp_relevant != vect_used_in_outer_by_reduction
734 && tmp_relevant != vect_used_in_outer)
736 if (dump_enabled_p ())
737 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
738 "unsupported use of nested cycle.\n");
740 return false;
743 live_p = false;
744 break;
746 case vect_double_reduction_def:
747 if (tmp_relevant != vect_unused_in_scope
748 && tmp_relevant != vect_used_by_reduction)
750 if (dump_enabled_p ())
751 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
752 "unsupported use of double reduction.\n");
754 return false;
757 live_p = false;
758 break;
760 default:
761 break;
764 if (is_pattern_stmt_p (stmt_vinfo))
766 /* Pattern statements are not inserted into the code, so
767 FOR_EACH_PHI_OR_STMT_USE optimizes their operands out, and we
768 have to scan the RHS or function arguments instead. */
769 if (is_gimple_assign (stmt))
771 enum tree_code rhs_code = gimple_assign_rhs_code (stmt);
772 tree op = gimple_assign_rhs1 (stmt);
774 i = 1;
775 if (rhs_code == COND_EXPR && COMPARISON_CLASS_P (op))
777 if (!process_use (stmt, TREE_OPERAND (op, 0), loop_vinfo,
778 live_p, relevant, &worklist, false)
779 || !process_use (stmt, TREE_OPERAND (op, 1), loop_vinfo,
780 live_p, relevant, &worklist, false))
781 return false;
782 i = 2;
784 for (; i < gimple_num_ops (stmt); i++)
786 op = gimple_op (stmt, i);
787 if (TREE_CODE (op) == SSA_NAME
788 && !process_use (stmt, op, loop_vinfo, live_p, relevant,
789 &worklist, false))
790 return false;
793 else if (is_gimple_call (stmt))
795 for (i = 0; i < gimple_call_num_args (stmt); i++)
797 tree arg = gimple_call_arg (stmt, i);
798 if (!process_use (stmt, arg, loop_vinfo, live_p, relevant,
799 &worklist, false))
800 return false;
804 else
805 FOR_EACH_PHI_OR_STMT_USE (use_p, stmt, iter, SSA_OP_USE)
807 tree op = USE_FROM_PTR (use_p);
808 if (!process_use (stmt, op, loop_vinfo, live_p, relevant,
809 &worklist, false))
810 return false;
813 if (STMT_VINFO_GATHER_P (stmt_vinfo))
815 tree off;
816 tree decl = vect_check_gather (stmt, loop_vinfo, NULL, &off, NULL);
817 gcc_assert (decl);
818 if (!process_use (stmt, off, loop_vinfo, live_p, relevant,
819 &worklist, true))
820 return false;
822 } /* while worklist */
824 return true;
828 /* Function vect_model_simple_cost.
830 Models cost for simple operations, i.e. those that only emit ncopies of a
831 single op. Right now, this does not account for multiple insns that could
832 be generated for the single vector op. We will handle that shortly. */
834 void
835 vect_model_simple_cost (stmt_vec_info stmt_info, int ncopies,
836 enum vect_def_type *dt,
837 stmt_vector_for_cost *prologue_cost_vec,
838 stmt_vector_for_cost *body_cost_vec)
840 int i;
841 int inside_cost = 0, prologue_cost = 0;
843 /* The SLP costs were already calculated during SLP tree build. */
844 if (PURE_SLP_STMT (stmt_info))
845 return;
847 /* FORNOW: Assuming maximum 2 args per stmts. */
848 for (i = 0; i < 2; i++)
849 if (dt[i] == vect_constant_def || dt[i] == vect_external_def)
850 prologue_cost += record_stmt_cost (prologue_cost_vec, 1, vector_stmt,
851 stmt_info, 0, vect_prologue);
853 /* Pass the inside-of-loop statements to the target-specific cost model. */
854 inside_cost = record_stmt_cost (body_cost_vec, ncopies, vector_stmt,
855 stmt_info, 0, vect_body);
857 if (dump_enabled_p ())
858 dump_printf_loc (MSG_NOTE, vect_location,
859 "vect_model_simple_cost: inside_cost = %d, "
860 "prologue_cost = %d .\n", inside_cost, prologue_cost);
864 /* Model cost for type demotion and promotion operations. PWR is normally
865 zero for single-step promotions and demotions. It will be one if
866 two-step promotion/demotion is required, and so on. Each additional
867 step doubles the number of instructions required. */
869 static void
870 vect_model_promotion_demotion_cost (stmt_vec_info stmt_info,
871 enum vect_def_type *dt, int pwr)
873 int i, tmp;
874 int inside_cost = 0, prologue_cost = 0;
875 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
876 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
877 void *target_cost_data;
879 /* The SLP costs were already calculated during SLP tree build. */
880 if (PURE_SLP_STMT (stmt_info))
881 return;
883 if (loop_vinfo)
884 target_cost_data = LOOP_VINFO_TARGET_COST_DATA (loop_vinfo);
885 else
886 target_cost_data = BB_VINFO_TARGET_COST_DATA (bb_vinfo);
888 for (i = 0; i < pwr + 1; i++)
890 tmp = (STMT_VINFO_TYPE (stmt_info) == type_promotion_vec_info_type) ?
891 (i + 1) : i;
892 inside_cost += add_stmt_cost (target_cost_data, vect_pow2 (tmp),
893 vec_promote_demote, stmt_info, 0,
894 vect_body);
897 /* FORNOW: Assuming maximum 2 args per stmts. */
898 for (i = 0; i < 2; i++)
899 if (dt[i] == vect_constant_def || dt[i] == vect_external_def)
900 prologue_cost += add_stmt_cost (target_cost_data, 1, vector_stmt,
901 stmt_info, 0, vect_prologue);
903 if (dump_enabled_p ())
904 dump_printf_loc (MSG_NOTE, vect_location,
905 "vect_model_promotion_demotion_cost: inside_cost = %d, "
906 "prologue_cost = %d .\n", inside_cost, prologue_cost);
909 /* Function vect_cost_group_size
911 For grouped load or store, return the group_size only if it is the first
912 load or store of a group, else return 1. This ensures that group size is
913 only returned once per group. */
915 static int
916 vect_cost_group_size (stmt_vec_info stmt_info)
918 gimple first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
920 if (first_stmt == STMT_VINFO_STMT (stmt_info))
921 return GROUP_SIZE (stmt_info);
923 return 1;
927 /* Function vect_model_store_cost
929 Models cost for stores. In the case of grouped accesses, one access
930 has the overhead of the grouped access attributed to it. */
932 void
933 vect_model_store_cost (stmt_vec_info stmt_info, int ncopies,
934 bool store_lanes_p, enum vect_def_type dt,
935 slp_tree slp_node,
936 stmt_vector_for_cost *prologue_cost_vec,
937 stmt_vector_for_cost *body_cost_vec)
939 int group_size;
940 unsigned int inside_cost = 0, prologue_cost = 0;
941 struct data_reference *first_dr;
942 gimple first_stmt;
944 if (dt == vect_constant_def || dt == vect_external_def)
945 prologue_cost += record_stmt_cost (prologue_cost_vec, 1, scalar_to_vec,
946 stmt_info, 0, vect_prologue);
948 /* Grouped access? */
949 if (STMT_VINFO_GROUPED_ACCESS (stmt_info))
951 if (slp_node)
953 first_stmt = SLP_TREE_SCALAR_STMTS (slp_node)[0];
954 group_size = 1;
956 else
958 first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
959 group_size = vect_cost_group_size (stmt_info);
962 first_dr = STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt));
964 /* Not a grouped access. */
965 else
967 group_size = 1;
968 first_dr = STMT_VINFO_DATA_REF (stmt_info);
971 /* We assume that the cost of a single store-lanes instruction is
972 equivalent to the cost of GROUP_SIZE separate stores. If a grouped
973 access is instead being provided by a permute-and-store operation,
974 include the cost of the permutes. */
975 if (!store_lanes_p && group_size > 1
976 && !STMT_VINFO_STRIDED_P (stmt_info))
978 /* Uses a high and low interleave or shuffle operations for each
979 needed permute. */
980 int nstmts = ncopies * ceil_log2 (group_size) * group_size;
981 inside_cost = record_stmt_cost (body_cost_vec, nstmts, vec_perm,
982 stmt_info, 0, vect_body);
984 if (dump_enabled_p ())
985 dump_printf_loc (MSG_NOTE, vect_location,
986 "vect_model_store_cost: strided group_size = %d .\n",
987 group_size);
990 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
991 /* Costs of the stores. */
992 if (STMT_VINFO_STRIDED_P (stmt_info)
993 && !STMT_VINFO_GROUPED_ACCESS (stmt_info))
995 /* N scalar stores plus extracting the elements. */
996 inside_cost += record_stmt_cost (body_cost_vec,
997 ncopies * TYPE_VECTOR_SUBPARTS (vectype),
998 scalar_store, stmt_info, 0, vect_body);
1000 else
1001 vect_get_store_cost (first_dr, ncopies, &inside_cost, body_cost_vec);
1003 if (STMT_VINFO_STRIDED_P (stmt_info))
1004 inside_cost += record_stmt_cost (body_cost_vec,
1005 ncopies * TYPE_VECTOR_SUBPARTS (vectype),
1006 vec_to_scalar, stmt_info, 0, vect_body);
1008 if (dump_enabled_p ())
1009 dump_printf_loc (MSG_NOTE, vect_location,
1010 "vect_model_store_cost: inside_cost = %d, "
1011 "prologue_cost = %d .\n", inside_cost, prologue_cost);
1015 /* Calculate cost of DR's memory access. */
1016 void
1017 vect_get_store_cost (struct data_reference *dr, int ncopies,
1018 unsigned int *inside_cost,
1019 stmt_vector_for_cost *body_cost_vec)
1021 int alignment_support_scheme = vect_supportable_dr_alignment (dr, false);
1022 gimple stmt = DR_STMT (dr);
1023 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
1025 switch (alignment_support_scheme)
1027 case dr_aligned:
1029 *inside_cost += record_stmt_cost (body_cost_vec, ncopies,
1030 vector_store, stmt_info, 0,
1031 vect_body);
1033 if (dump_enabled_p ())
1034 dump_printf_loc (MSG_NOTE, vect_location,
1035 "vect_model_store_cost: aligned.\n");
1036 break;
1039 case dr_unaligned_supported:
1041 /* Here, we assign an additional cost for the unaligned store. */
1042 *inside_cost += record_stmt_cost (body_cost_vec, ncopies,
1043 unaligned_store, stmt_info,
1044 DR_MISALIGNMENT (dr), vect_body);
1045 if (dump_enabled_p ())
1046 dump_printf_loc (MSG_NOTE, vect_location,
1047 "vect_model_store_cost: unaligned supported by "
1048 "hardware.\n");
1049 break;
1052 case dr_unaligned_unsupported:
1054 *inside_cost = VECT_MAX_COST;
1056 if (dump_enabled_p ())
1057 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1058 "vect_model_store_cost: unsupported access.\n");
1059 break;
1062 default:
1063 gcc_unreachable ();
1068 /* Function vect_model_load_cost
1070 Models cost for loads. In the case of grouped accesses, the last access
1071 has the overhead of the grouped access attributed to it. Since unaligned
1072 accesses are supported for loads, we also account for the costs of the
1073 access scheme chosen. */
1075 void
1076 vect_model_load_cost (stmt_vec_info stmt_info, int ncopies,
1077 bool load_lanes_p, slp_tree slp_node,
1078 stmt_vector_for_cost *prologue_cost_vec,
1079 stmt_vector_for_cost *body_cost_vec)
1081 int group_size;
1082 gimple first_stmt;
1083 struct data_reference *dr = STMT_VINFO_DATA_REF (stmt_info), *first_dr;
1084 unsigned int inside_cost = 0, prologue_cost = 0;
1086 /* Grouped accesses? */
1087 first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
1088 if (STMT_VINFO_GROUPED_ACCESS (stmt_info) && first_stmt && !slp_node)
1090 group_size = vect_cost_group_size (stmt_info);
1091 first_dr = STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt));
1093 /* Not a grouped access. */
1094 else
1096 group_size = 1;
1097 first_dr = dr;
1100 /* We assume that the cost of a single load-lanes instruction is
1101 equivalent to the cost of GROUP_SIZE separate loads. If a grouped
1102 access is instead being provided by a load-and-permute operation,
1103 include the cost of the permutes. */
1104 if (!load_lanes_p && group_size > 1
1105 && !STMT_VINFO_STRIDED_P (stmt_info))
1107 /* Uses an even and odd extract operations or shuffle operations
1108 for each needed permute. */
1109 int nstmts = ncopies * ceil_log2 (group_size) * group_size;
1110 inside_cost = record_stmt_cost (body_cost_vec, nstmts, vec_perm,
1111 stmt_info, 0, vect_body);
1113 if (dump_enabled_p ())
1114 dump_printf_loc (MSG_NOTE, vect_location,
1115 "vect_model_load_cost: strided group_size = %d .\n",
1116 group_size);
1119 /* The loads themselves. */
1120 if (STMT_VINFO_STRIDED_P (stmt_info)
1121 && !STMT_VINFO_GROUPED_ACCESS (stmt_info))
1123 /* N scalar loads plus gathering them into a vector. */
1124 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
1125 inside_cost += record_stmt_cost (body_cost_vec,
1126 ncopies * TYPE_VECTOR_SUBPARTS (vectype),
1127 scalar_load, stmt_info, 0, vect_body);
1129 else
1130 vect_get_load_cost (first_dr, ncopies,
1131 ((!STMT_VINFO_GROUPED_ACCESS (stmt_info))
1132 || group_size > 1 || slp_node),
1133 &inside_cost, &prologue_cost,
1134 prologue_cost_vec, body_cost_vec, true);
1135 if (STMT_VINFO_STRIDED_P (stmt_info))
1136 inside_cost += record_stmt_cost (body_cost_vec, ncopies, vec_construct,
1137 stmt_info, 0, vect_body);
1139 if (dump_enabled_p ())
1140 dump_printf_loc (MSG_NOTE, vect_location,
1141 "vect_model_load_cost: inside_cost = %d, "
1142 "prologue_cost = %d .\n", inside_cost, prologue_cost);
1146 /* Calculate cost of DR's memory access. */
1147 void
1148 vect_get_load_cost (struct data_reference *dr, int ncopies,
1149 bool add_realign_cost, unsigned int *inside_cost,
1150 unsigned int *prologue_cost,
1151 stmt_vector_for_cost *prologue_cost_vec,
1152 stmt_vector_for_cost *body_cost_vec,
1153 bool record_prologue_costs)
1155 int alignment_support_scheme = vect_supportable_dr_alignment (dr, false);
1156 gimple stmt = DR_STMT (dr);
1157 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
1159 switch (alignment_support_scheme)
1161 case dr_aligned:
1163 *inside_cost += record_stmt_cost (body_cost_vec, ncopies, vector_load,
1164 stmt_info, 0, vect_body);
1166 if (dump_enabled_p ())
1167 dump_printf_loc (MSG_NOTE, vect_location,
1168 "vect_model_load_cost: aligned.\n");
1170 break;
1172 case dr_unaligned_supported:
1174 /* Here, we assign an additional cost for the unaligned load. */
1175 *inside_cost += record_stmt_cost (body_cost_vec, ncopies,
1176 unaligned_load, stmt_info,
1177 DR_MISALIGNMENT (dr), vect_body);
1179 if (dump_enabled_p ())
1180 dump_printf_loc (MSG_NOTE, vect_location,
1181 "vect_model_load_cost: unaligned supported by "
1182 "hardware.\n");
1184 break;
1186 case dr_explicit_realign:
1188 *inside_cost += record_stmt_cost (body_cost_vec, ncopies * 2,
1189 vector_load, stmt_info, 0, vect_body);
1190 *inside_cost += record_stmt_cost (body_cost_vec, ncopies,
1191 vec_perm, stmt_info, 0, vect_body);
1193 /* FIXME: If the misalignment remains fixed across the iterations of
1194 the containing loop, the following cost should be added to the
1195 prologue costs. */
1196 if (targetm.vectorize.builtin_mask_for_load)
1197 *inside_cost += record_stmt_cost (body_cost_vec, 1, vector_stmt,
1198 stmt_info, 0, vect_body);
1200 if (dump_enabled_p ())
1201 dump_printf_loc (MSG_NOTE, vect_location,
1202 "vect_model_load_cost: explicit realign\n");
1204 break;
1206 case dr_explicit_realign_optimized:
1208 if (dump_enabled_p ())
1209 dump_printf_loc (MSG_NOTE, vect_location,
1210 "vect_model_load_cost: unaligned software "
1211 "pipelined.\n");
1213 /* Unaligned software pipeline has a load of an address, an initial
1214 load, and possibly a mask operation to "prime" the loop. However,
1215 if this is an access in a group of loads, which provide grouped
1216 access, then the above cost should only be considered for one
1217 access in the group. Inside the loop, there is a load op
1218 and a realignment op. */
1220 if (add_realign_cost && record_prologue_costs)
1222 *prologue_cost += record_stmt_cost (prologue_cost_vec, 2,
1223 vector_stmt, stmt_info,
1224 0, vect_prologue);
1225 if (targetm.vectorize.builtin_mask_for_load)
1226 *prologue_cost += record_stmt_cost (prologue_cost_vec, 1,
1227 vector_stmt, stmt_info,
1228 0, vect_prologue);
1231 *inside_cost += record_stmt_cost (body_cost_vec, ncopies, vector_load,
1232 stmt_info, 0, vect_body);
1233 *inside_cost += record_stmt_cost (body_cost_vec, ncopies, vec_perm,
1234 stmt_info, 0, vect_body);
1236 if (dump_enabled_p ())
1237 dump_printf_loc (MSG_NOTE, vect_location,
1238 "vect_model_load_cost: explicit realign optimized"
1239 "\n");
1241 break;
1244 case dr_unaligned_unsupported:
1246 *inside_cost = VECT_MAX_COST;
1248 if (dump_enabled_p ())
1249 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1250 "vect_model_load_cost: unsupported access.\n");
1251 break;
1254 default:
1255 gcc_unreachable ();
1259 /* Insert the new stmt NEW_STMT at *GSI or at the appropriate place in
1260 the loop preheader for the vectorized stmt STMT. */
1262 static void
1263 vect_init_vector_1 (gimple stmt, gimple new_stmt, gimple_stmt_iterator *gsi)
1265 if (gsi)
1266 vect_finish_stmt_generation (stmt, new_stmt, gsi);
1267 else
1269 stmt_vec_info stmt_vinfo = vinfo_for_stmt (stmt);
1270 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_vinfo);
1272 if (loop_vinfo)
1274 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
1275 basic_block new_bb;
1276 edge pe;
1278 if (nested_in_vect_loop_p (loop, stmt))
1279 loop = loop->inner;
1281 pe = loop_preheader_edge (loop);
1282 new_bb = gsi_insert_on_edge_immediate (pe, new_stmt);
1283 gcc_assert (!new_bb);
1285 else
1287 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_vinfo);
1288 basic_block bb;
1289 gimple_stmt_iterator gsi_bb_start;
1291 gcc_assert (bb_vinfo);
1292 bb = BB_VINFO_BB (bb_vinfo);
1293 gsi_bb_start = gsi_after_labels (bb);
1294 gsi_insert_before (&gsi_bb_start, new_stmt, GSI_SAME_STMT);
1298 if (dump_enabled_p ())
1300 dump_printf_loc (MSG_NOTE, vect_location,
1301 "created new init_stmt: ");
1302 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, new_stmt, 0);
1306 /* Function vect_init_vector.
1308 Insert a new stmt (INIT_STMT) that initializes a new variable of type
1309 TYPE with the value VAL. If TYPE is a vector type and VAL does not have
1310 vector type a vector with all elements equal to VAL is created first.
1311 Place the initialization at BSI if it is not NULL. Otherwise, place the
1312 initialization at the loop preheader.
1313 Return the DEF of INIT_STMT.
1314 It will be used in the vectorization of STMT. */
1316 tree
1317 vect_init_vector (gimple stmt, tree val, tree type, gimple_stmt_iterator *gsi)
1319 tree new_var;
1320 gimple init_stmt;
1321 tree vec_oprnd;
1322 tree new_temp;
1324 if (TREE_CODE (type) == VECTOR_TYPE
1325 && TREE_CODE (TREE_TYPE (val)) != VECTOR_TYPE)
1327 if (!types_compatible_p (TREE_TYPE (type), TREE_TYPE (val)))
1329 if (CONSTANT_CLASS_P (val))
1330 val = fold_unary (VIEW_CONVERT_EXPR, TREE_TYPE (type), val);
1331 else
1333 new_temp = make_ssa_name (TREE_TYPE (type));
1334 init_stmt = gimple_build_assign (new_temp, NOP_EXPR, val);
1335 vect_init_vector_1 (stmt, init_stmt, gsi);
1336 val = new_temp;
1339 val = build_vector_from_val (type, val);
1342 new_var = vect_get_new_vect_var (type, vect_simple_var, "cst_");
1343 init_stmt = gimple_build_assign (new_var, val);
1344 new_temp = make_ssa_name (new_var, init_stmt);
1345 gimple_assign_set_lhs (init_stmt, new_temp);
1346 vect_init_vector_1 (stmt, init_stmt, gsi);
1347 vec_oprnd = gimple_assign_lhs (init_stmt);
1348 return vec_oprnd;
1352 /* Function vect_get_vec_def_for_operand.
1354 OP is an operand in STMT. This function returns a (vector) def that will be
1355 used in the vectorized stmt for STMT.
1357 In the case that OP is an SSA_NAME which is defined in the loop, then
1358 STMT_VINFO_VEC_STMT of the defining stmt holds the relevant def.
1360 In case OP is an invariant or constant, a new stmt that creates a vector def
1361 needs to be introduced. */
1363 tree
1364 vect_get_vec_def_for_operand (tree op, gimple stmt, tree *scalar_def)
1366 tree vec_oprnd;
1367 gimple vec_stmt;
1368 gimple def_stmt;
1369 stmt_vec_info def_stmt_info = NULL;
1370 stmt_vec_info stmt_vinfo = vinfo_for_stmt (stmt);
1371 unsigned int nunits;
1372 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_vinfo);
1373 tree def;
1374 enum vect_def_type dt;
1375 bool is_simple_use;
1376 tree vector_type;
1378 if (dump_enabled_p ())
1380 dump_printf_loc (MSG_NOTE, vect_location,
1381 "vect_get_vec_def_for_operand: ");
1382 dump_generic_expr (MSG_NOTE, TDF_SLIM, op);
1383 dump_printf (MSG_NOTE, "\n");
1386 is_simple_use = vect_is_simple_use (op, stmt, loop_vinfo, NULL,
1387 &def_stmt, &def, &dt);
1388 gcc_assert (is_simple_use);
1389 if (dump_enabled_p ())
1391 int loc_printed = 0;
1392 if (def)
1394 dump_printf_loc (MSG_NOTE, vect_location, "def = ");
1395 loc_printed = 1;
1396 dump_generic_expr (MSG_NOTE, TDF_SLIM, def);
1397 dump_printf (MSG_NOTE, "\n");
1399 if (def_stmt)
1401 if (loc_printed)
1402 dump_printf (MSG_NOTE, " def_stmt = ");
1403 else
1404 dump_printf_loc (MSG_NOTE, vect_location, " def_stmt = ");
1405 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, def_stmt, 0);
1409 switch (dt)
1411 /* Case 1: operand is a constant. */
1412 case vect_constant_def:
1414 vector_type = get_vectype_for_scalar_type (TREE_TYPE (op));
1415 gcc_assert (vector_type);
1416 nunits = TYPE_VECTOR_SUBPARTS (vector_type);
1418 if (scalar_def)
1419 *scalar_def = op;
1421 /* Create 'vect_cst_ = {cst,cst,...,cst}' */
1422 if (dump_enabled_p ())
1423 dump_printf_loc (MSG_NOTE, vect_location,
1424 "Create vector_cst. nunits = %d\n", nunits);
1426 return vect_init_vector (stmt, op, vector_type, NULL);
1429 /* Case 2: operand is defined outside the loop - loop invariant. */
1430 case vect_external_def:
1432 vector_type = get_vectype_for_scalar_type (TREE_TYPE (def));
1433 gcc_assert (vector_type);
1435 if (scalar_def)
1436 *scalar_def = def;
1438 /* Create 'vec_inv = {inv,inv,..,inv}' */
1439 if (dump_enabled_p ())
1440 dump_printf_loc (MSG_NOTE, vect_location, "Create vector_inv.\n");
1442 return vect_init_vector (stmt, def, vector_type, NULL);
1445 /* Case 3: operand is defined inside the loop. */
1446 case vect_internal_def:
1448 if (scalar_def)
1449 *scalar_def = NULL/* FIXME tuples: def_stmt*/;
1451 /* Get the def from the vectorized stmt. */
1452 def_stmt_info = vinfo_for_stmt (def_stmt);
1454 vec_stmt = STMT_VINFO_VEC_STMT (def_stmt_info);
1455 /* Get vectorized pattern statement. */
1456 if (!vec_stmt
1457 && STMT_VINFO_IN_PATTERN_P (def_stmt_info)
1458 && !STMT_VINFO_RELEVANT (def_stmt_info))
1459 vec_stmt = STMT_VINFO_VEC_STMT (vinfo_for_stmt (
1460 STMT_VINFO_RELATED_STMT (def_stmt_info)));
1461 gcc_assert (vec_stmt);
1462 if (gimple_code (vec_stmt) == GIMPLE_PHI)
1463 vec_oprnd = PHI_RESULT (vec_stmt);
1464 else if (is_gimple_call (vec_stmt))
1465 vec_oprnd = gimple_call_lhs (vec_stmt);
1466 else
1467 vec_oprnd = gimple_assign_lhs (vec_stmt);
1468 return vec_oprnd;
1471 /* Case 4: operand is defined by a loop header phi - reduction */
1472 case vect_reduction_def:
1473 case vect_double_reduction_def:
1474 case vect_nested_cycle:
1476 struct loop *loop;
1478 gcc_assert (gimple_code (def_stmt) == GIMPLE_PHI);
1479 loop = (gimple_bb (def_stmt))->loop_father;
1481 /* Get the def before the loop */
1482 op = PHI_ARG_DEF_FROM_EDGE (def_stmt, loop_preheader_edge (loop));
1483 return get_initial_def_for_reduction (stmt, op, scalar_def);
1486 /* Case 5: operand is defined by loop-header phi - induction. */
1487 case vect_induction_def:
1489 gcc_assert (gimple_code (def_stmt) == GIMPLE_PHI);
1491 /* Get the def from the vectorized stmt. */
1492 def_stmt_info = vinfo_for_stmt (def_stmt);
1493 vec_stmt = STMT_VINFO_VEC_STMT (def_stmt_info);
1494 if (gimple_code (vec_stmt) == GIMPLE_PHI)
1495 vec_oprnd = PHI_RESULT (vec_stmt);
1496 else
1497 vec_oprnd = gimple_get_lhs (vec_stmt);
1498 return vec_oprnd;
1501 default:
1502 gcc_unreachable ();
1507 /* Function vect_get_vec_def_for_stmt_copy
1509 Return a vector-def for an operand. This function is used when the
1510 vectorized stmt to be created (by the caller to this function) is a "copy"
1511 created in case the vectorized result cannot fit in one vector, and several
1512 copies of the vector-stmt are required. In this case the vector-def is
1513 retrieved from the vector stmt recorded in the STMT_VINFO_RELATED_STMT field
1514 of the stmt that defines VEC_OPRND.
1515 DT is the type of the vector def VEC_OPRND.
1517 Context:
1518 In case the vectorization factor (VF) is bigger than the number
1519 of elements that can fit in a vectype (nunits), we have to generate
1520 more than one vector stmt to vectorize the scalar stmt. This situation
1521 arises when there are multiple data-types operated upon in the loop; the
1522 smallest data-type determines the VF, and as a result, when vectorizing
1523 stmts operating on wider types we need to create 'VF/nunits' "copies" of the
1524 vector stmt (each computing a vector of 'nunits' results, and together
1525 computing 'VF' results in each iteration). This function is called when
1526 vectorizing such a stmt (e.g. vectorizing S2 in the illustration below, in
1527 which VF=16 and nunits=4, so the number of copies required is 4):
1529 scalar stmt: vectorized into: STMT_VINFO_RELATED_STMT
1531 S1: x = load VS1.0: vx.0 = memref0 VS1.1
1532 VS1.1: vx.1 = memref1 VS1.2
1533 VS1.2: vx.2 = memref2 VS1.3
1534 VS1.3: vx.3 = memref3
1536 S2: z = x + ... VSnew.0: vz0 = vx.0 + ... VSnew.1
1537 VSnew.1: vz1 = vx.1 + ... VSnew.2
1538 VSnew.2: vz2 = vx.2 + ... VSnew.3
1539 VSnew.3: vz3 = vx.3 + ...
1541 The vectorization of S1 is explained in vectorizable_load.
1542 The vectorization of S2:
1543 To create the first vector-stmt out of the 4 copies - VSnew.0 -
1544 the function 'vect_get_vec_def_for_operand' is called to
1545 get the relevant vector-def for each operand of S2. For operand x it
1546 returns the vector-def 'vx.0'.
1548 To create the remaining copies of the vector-stmt (VSnew.j), this
1549 function is called to get the relevant vector-def for each operand. It is
1550 obtained from the respective VS1.j stmt, which is recorded in the
1551 STMT_VINFO_RELATED_STMT field of the stmt that defines VEC_OPRND.
1553 For example, to obtain the vector-def 'vx.1' in order to create the
1554 vector stmt 'VSnew.1', this function is called with VEC_OPRND='vx.0'.
1555 Given 'vx0' we obtain the stmt that defines it ('VS1.0'); from the
1556 STMT_VINFO_RELATED_STMT field of 'VS1.0' we obtain the next copy - 'VS1.1',
1557 and return its def ('vx.1').
1558 Overall, to create the above sequence this function will be called 3 times:
1559 vx.1 = vect_get_vec_def_for_stmt_copy (dt, vx.0);
1560 vx.2 = vect_get_vec_def_for_stmt_copy (dt, vx.1);
1561 vx.3 = vect_get_vec_def_for_stmt_copy (dt, vx.2); */
1563 tree
1564 vect_get_vec_def_for_stmt_copy (enum vect_def_type dt, tree vec_oprnd)
1566 gimple vec_stmt_for_operand;
1567 stmt_vec_info def_stmt_info;
1569 /* Do nothing; can reuse same def. */
1570 if (dt == vect_external_def || dt == vect_constant_def )
1571 return vec_oprnd;
1573 vec_stmt_for_operand = SSA_NAME_DEF_STMT (vec_oprnd);
1574 def_stmt_info = vinfo_for_stmt (vec_stmt_for_operand);
1575 gcc_assert (def_stmt_info);
1576 vec_stmt_for_operand = STMT_VINFO_RELATED_STMT (def_stmt_info);
1577 gcc_assert (vec_stmt_for_operand);
1578 vec_oprnd = gimple_get_lhs (vec_stmt_for_operand);
1579 if (gimple_code (vec_stmt_for_operand) == GIMPLE_PHI)
1580 vec_oprnd = PHI_RESULT (vec_stmt_for_operand);
1581 else
1582 vec_oprnd = gimple_get_lhs (vec_stmt_for_operand);
1583 return vec_oprnd;
1587 /* Get vectorized definitions for the operands to create a copy of an original
1588 stmt. See vect_get_vec_def_for_stmt_copy () for details. */
1590 static void
1591 vect_get_vec_defs_for_stmt_copy (enum vect_def_type *dt,
1592 vec<tree> *vec_oprnds0,
1593 vec<tree> *vec_oprnds1)
1595 tree vec_oprnd = vec_oprnds0->pop ();
1597 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt[0], vec_oprnd);
1598 vec_oprnds0->quick_push (vec_oprnd);
1600 if (vec_oprnds1 && vec_oprnds1->length ())
1602 vec_oprnd = vec_oprnds1->pop ();
1603 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt[1], vec_oprnd);
1604 vec_oprnds1->quick_push (vec_oprnd);
1609 /* Get vectorized definitions for OP0 and OP1.
1610 REDUC_INDEX is the index of reduction operand in case of reduction,
1611 and -1 otherwise. */
1613 void
1614 vect_get_vec_defs (tree op0, tree op1, gimple stmt,
1615 vec<tree> *vec_oprnds0,
1616 vec<tree> *vec_oprnds1,
1617 slp_tree slp_node, int reduc_index)
1619 if (slp_node)
1621 int nops = (op1 == NULL_TREE) ? 1 : 2;
1622 auto_vec<tree> ops (nops);
1623 auto_vec<vec<tree> > vec_defs (nops);
1625 ops.quick_push (op0);
1626 if (op1)
1627 ops.quick_push (op1);
1629 vect_get_slp_defs (ops, slp_node, &vec_defs, reduc_index);
1631 *vec_oprnds0 = vec_defs[0];
1632 if (op1)
1633 *vec_oprnds1 = vec_defs[1];
1635 else
1637 tree vec_oprnd;
1639 vec_oprnds0->create (1);
1640 vec_oprnd = vect_get_vec_def_for_operand (op0, stmt, NULL);
1641 vec_oprnds0->quick_push (vec_oprnd);
1643 if (op1)
1645 vec_oprnds1->create (1);
1646 vec_oprnd = vect_get_vec_def_for_operand (op1, stmt, NULL);
1647 vec_oprnds1->quick_push (vec_oprnd);
1653 /* Function vect_finish_stmt_generation.
1655 Insert a new stmt. */
1657 void
1658 vect_finish_stmt_generation (gimple stmt, gimple vec_stmt,
1659 gimple_stmt_iterator *gsi)
1661 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
1662 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
1663 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
1665 gcc_assert (gimple_code (stmt) != GIMPLE_LABEL);
1667 if (!gsi_end_p (*gsi)
1668 && gimple_has_mem_ops (vec_stmt))
1670 gimple at_stmt = gsi_stmt (*gsi);
1671 tree vuse = gimple_vuse (at_stmt);
1672 if (vuse && TREE_CODE (vuse) == SSA_NAME)
1674 tree vdef = gimple_vdef (at_stmt);
1675 gimple_set_vuse (vec_stmt, gimple_vuse (at_stmt));
1676 /* If we have an SSA vuse and insert a store, update virtual
1677 SSA form to avoid triggering the renamer. Do so only
1678 if we can easily see all uses - which is what almost always
1679 happens with the way vectorized stmts are inserted. */
1680 if ((vdef && TREE_CODE (vdef) == SSA_NAME)
1681 && ((is_gimple_assign (vec_stmt)
1682 && !is_gimple_reg (gimple_assign_lhs (vec_stmt)))
1683 || (is_gimple_call (vec_stmt)
1684 && !(gimple_call_flags (vec_stmt)
1685 & (ECF_CONST|ECF_PURE|ECF_NOVOPS)))))
1687 tree new_vdef = copy_ssa_name (vuse, vec_stmt);
1688 gimple_set_vdef (vec_stmt, new_vdef);
1689 SET_USE (gimple_vuse_op (at_stmt), new_vdef);
1693 gsi_insert_before (gsi, vec_stmt, GSI_SAME_STMT);
1695 set_vinfo_for_stmt (vec_stmt, new_stmt_vec_info (vec_stmt, loop_vinfo,
1696 bb_vinfo));
1698 if (dump_enabled_p ())
1700 dump_printf_loc (MSG_NOTE, vect_location, "add new stmt: ");
1701 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, vec_stmt, 0);
1704 gimple_set_location (vec_stmt, gimple_location (stmt));
1706 /* While EH edges will generally prevent vectorization, stmt might
1707 e.g. be in a must-not-throw region. Ensure newly created stmts
1708 that could throw are part of the same region. */
1709 int lp_nr = lookup_stmt_eh_lp (stmt);
1710 if (lp_nr != 0 && stmt_could_throw_p (vec_stmt))
1711 add_stmt_to_eh_lp (vec_stmt, lp_nr);
1714 /* Checks if CALL can be vectorized in type VECTYPE. Returns
1715 a function declaration if the target has a vectorized version
1716 of the function, or NULL_TREE if the function cannot be vectorized. */
1718 tree
1719 vectorizable_function (gcall *call, tree vectype_out, tree vectype_in)
1721 tree fndecl = gimple_call_fndecl (call);
1723 /* We only handle functions that do not read or clobber memory -- i.e.
1724 const or novops ones. */
1725 if (!(gimple_call_flags (call) & (ECF_CONST | ECF_NOVOPS)))
1726 return NULL_TREE;
1728 if (!fndecl
1729 || TREE_CODE (fndecl) != FUNCTION_DECL
1730 || !DECL_BUILT_IN (fndecl))
1731 return NULL_TREE;
1733 return targetm.vectorize.builtin_vectorized_function (fndecl, vectype_out,
1734 vectype_in);
1738 static tree permute_vec_elements (tree, tree, tree, gimple,
1739 gimple_stmt_iterator *);
1742 /* Function vectorizable_mask_load_store.
1744 Check if STMT performs a conditional load or store that can be vectorized.
1745 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
1746 stmt to replace it, put it in VEC_STMT, and insert it at GSI.
1747 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
1749 static bool
1750 vectorizable_mask_load_store (gimple stmt, gimple_stmt_iterator *gsi,
1751 gimple *vec_stmt, slp_tree slp_node)
1753 tree vec_dest = NULL;
1754 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
1755 stmt_vec_info prev_stmt_info;
1756 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
1757 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
1758 bool nested_in_vect_loop = nested_in_vect_loop_p (loop, stmt);
1759 struct data_reference *dr = STMT_VINFO_DATA_REF (stmt_info);
1760 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
1761 tree elem_type;
1762 gimple new_stmt;
1763 tree dummy;
1764 tree dataref_ptr = NULL_TREE;
1765 gimple ptr_incr;
1766 int nunits = TYPE_VECTOR_SUBPARTS (vectype);
1767 int ncopies;
1768 int i, j;
1769 bool inv_p;
1770 tree gather_base = NULL_TREE, gather_off = NULL_TREE;
1771 tree gather_off_vectype = NULL_TREE, gather_decl = NULL_TREE;
1772 int gather_scale = 1;
1773 enum vect_def_type gather_dt = vect_unknown_def_type;
1774 bool is_store;
1775 tree mask;
1776 gimple def_stmt;
1777 tree def;
1778 enum vect_def_type dt;
1780 if (slp_node != NULL)
1781 return false;
1783 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
1784 gcc_assert (ncopies >= 1);
1786 is_store = gimple_call_internal_fn (stmt) == IFN_MASK_STORE;
1787 mask = gimple_call_arg (stmt, 2);
1788 if (TYPE_PRECISION (TREE_TYPE (mask))
1789 != GET_MODE_BITSIZE (TYPE_MODE (TREE_TYPE (vectype))))
1790 return false;
1792 /* FORNOW. This restriction should be relaxed. */
1793 if (nested_in_vect_loop && ncopies > 1)
1795 if (dump_enabled_p ())
1796 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1797 "multiple types in nested loop.");
1798 return false;
1801 if (!STMT_VINFO_RELEVANT_P (stmt_info))
1802 return false;
1804 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
1805 return false;
1807 if (!STMT_VINFO_DATA_REF (stmt_info))
1808 return false;
1810 elem_type = TREE_TYPE (vectype);
1812 if (STMT_VINFO_GROUPED_ACCESS (stmt_info))
1813 return false;
1815 if (STMT_VINFO_STRIDED_P (stmt_info))
1816 return false;
1818 if (STMT_VINFO_GATHER_P (stmt_info))
1820 gimple def_stmt;
1821 tree def;
1822 gather_decl = vect_check_gather (stmt, loop_vinfo, &gather_base,
1823 &gather_off, &gather_scale);
1824 gcc_assert (gather_decl);
1825 if (!vect_is_simple_use_1 (gather_off, NULL, loop_vinfo, NULL,
1826 &def_stmt, &def, &gather_dt,
1827 &gather_off_vectype))
1829 if (dump_enabled_p ())
1830 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1831 "gather index use not simple.");
1832 return false;
1835 tree arglist = TYPE_ARG_TYPES (TREE_TYPE (gather_decl));
1836 tree masktype
1837 = TREE_VALUE (TREE_CHAIN (TREE_CHAIN (TREE_CHAIN (arglist))));
1838 if (TREE_CODE (masktype) == INTEGER_TYPE)
1840 if (dump_enabled_p ())
1841 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1842 "masked gather with integer mask not supported.");
1843 return false;
1846 else if (tree_int_cst_compare (nested_in_vect_loop
1847 ? STMT_VINFO_DR_STEP (stmt_info)
1848 : DR_STEP (dr), size_zero_node) <= 0)
1849 return false;
1850 else if (!VECTOR_MODE_P (TYPE_MODE (vectype))
1851 || !can_vec_mask_load_store_p (TYPE_MODE (vectype), !is_store))
1852 return false;
1854 if (TREE_CODE (mask) != SSA_NAME)
1855 return false;
1857 if (!vect_is_simple_use (mask, stmt, loop_vinfo, NULL,
1858 &def_stmt, &def, &dt))
1859 return false;
1861 if (is_store)
1863 tree rhs = gimple_call_arg (stmt, 3);
1864 if (!vect_is_simple_use (rhs, stmt, loop_vinfo, NULL,
1865 &def_stmt, &def, &dt))
1866 return false;
1869 if (!vec_stmt) /* transformation not required. */
1871 STMT_VINFO_TYPE (stmt_info) = call_vec_info_type;
1872 if (is_store)
1873 vect_model_store_cost (stmt_info, ncopies, false, dt,
1874 NULL, NULL, NULL);
1875 else
1876 vect_model_load_cost (stmt_info, ncopies, false, NULL, NULL, NULL);
1877 return true;
1880 /** Transform. **/
1882 if (STMT_VINFO_GATHER_P (stmt_info))
1884 tree vec_oprnd0 = NULL_TREE, op;
1885 tree arglist = TYPE_ARG_TYPES (TREE_TYPE (gather_decl));
1886 tree rettype, srctype, ptrtype, idxtype, masktype, scaletype;
1887 tree ptr, vec_mask = NULL_TREE, mask_op = NULL_TREE, var, scale;
1888 tree perm_mask = NULL_TREE, prev_res = NULL_TREE;
1889 tree mask_perm_mask = NULL_TREE;
1890 edge pe = loop_preheader_edge (loop);
1891 gimple_seq seq;
1892 basic_block new_bb;
1893 enum { NARROW, NONE, WIDEN } modifier;
1894 int gather_off_nunits = TYPE_VECTOR_SUBPARTS (gather_off_vectype);
1896 rettype = TREE_TYPE (TREE_TYPE (gather_decl));
1897 srctype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
1898 ptrtype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
1899 idxtype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
1900 masktype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
1901 scaletype = TREE_VALUE (arglist);
1902 gcc_checking_assert (types_compatible_p (srctype, rettype)
1903 && types_compatible_p (srctype, masktype));
1905 if (nunits == gather_off_nunits)
1906 modifier = NONE;
1907 else if (nunits == gather_off_nunits / 2)
1909 unsigned char *sel = XALLOCAVEC (unsigned char, gather_off_nunits);
1910 modifier = WIDEN;
1912 for (i = 0; i < gather_off_nunits; ++i)
1913 sel[i] = i | nunits;
1915 perm_mask = vect_gen_perm_mask_checked (gather_off_vectype, sel);
1917 else if (nunits == gather_off_nunits * 2)
1919 unsigned char *sel = XALLOCAVEC (unsigned char, nunits);
1920 modifier = NARROW;
1922 for (i = 0; i < nunits; ++i)
1923 sel[i] = i < gather_off_nunits
1924 ? i : i + nunits - gather_off_nunits;
1926 perm_mask = vect_gen_perm_mask_checked (vectype, sel);
1927 ncopies *= 2;
1928 for (i = 0; i < nunits; ++i)
1929 sel[i] = i | gather_off_nunits;
1930 mask_perm_mask = vect_gen_perm_mask_checked (masktype, sel);
1932 else
1933 gcc_unreachable ();
1935 vec_dest = vect_create_destination_var (gimple_call_lhs (stmt), vectype);
1937 ptr = fold_convert (ptrtype, gather_base);
1938 if (!is_gimple_min_invariant (ptr))
1940 ptr = force_gimple_operand (ptr, &seq, true, NULL_TREE);
1941 new_bb = gsi_insert_seq_on_edge_immediate (pe, seq);
1942 gcc_assert (!new_bb);
1945 scale = build_int_cst (scaletype, gather_scale);
1947 prev_stmt_info = NULL;
1948 for (j = 0; j < ncopies; ++j)
1950 if (modifier == WIDEN && (j & 1))
1951 op = permute_vec_elements (vec_oprnd0, vec_oprnd0,
1952 perm_mask, stmt, gsi);
1953 else if (j == 0)
1954 op = vec_oprnd0
1955 = vect_get_vec_def_for_operand (gather_off, stmt, NULL);
1956 else
1957 op = vec_oprnd0
1958 = vect_get_vec_def_for_stmt_copy (gather_dt, vec_oprnd0);
1960 if (!useless_type_conversion_p (idxtype, TREE_TYPE (op)))
1962 gcc_assert (TYPE_VECTOR_SUBPARTS (TREE_TYPE (op))
1963 == TYPE_VECTOR_SUBPARTS (idxtype));
1964 var = vect_get_new_vect_var (idxtype, vect_simple_var, NULL);
1965 var = make_ssa_name (var);
1966 op = build1 (VIEW_CONVERT_EXPR, idxtype, op);
1967 new_stmt
1968 = gimple_build_assign (var, VIEW_CONVERT_EXPR, op);
1969 vect_finish_stmt_generation (stmt, new_stmt, gsi);
1970 op = var;
1973 if (mask_perm_mask && (j & 1))
1974 mask_op = permute_vec_elements (mask_op, mask_op,
1975 mask_perm_mask, stmt, gsi);
1976 else
1978 if (j == 0)
1979 vec_mask = vect_get_vec_def_for_operand (mask, stmt, NULL);
1980 else
1982 vect_is_simple_use (vec_mask, NULL, loop_vinfo, NULL,
1983 &def_stmt, &def, &dt);
1984 vec_mask = vect_get_vec_def_for_stmt_copy (dt, vec_mask);
1987 mask_op = vec_mask;
1988 if (!useless_type_conversion_p (masktype, TREE_TYPE (vec_mask)))
1990 gcc_assert (TYPE_VECTOR_SUBPARTS (TREE_TYPE (mask_op))
1991 == TYPE_VECTOR_SUBPARTS (masktype));
1992 var = vect_get_new_vect_var (masktype, vect_simple_var,
1993 NULL);
1994 var = make_ssa_name (var);
1995 mask_op = build1 (VIEW_CONVERT_EXPR, masktype, mask_op);
1996 new_stmt
1997 = gimple_build_assign (var, VIEW_CONVERT_EXPR, mask_op);
1998 vect_finish_stmt_generation (stmt, new_stmt, gsi);
1999 mask_op = var;
2003 new_stmt
2004 = gimple_build_call (gather_decl, 5, mask_op, ptr, op, mask_op,
2005 scale);
2007 if (!useless_type_conversion_p (vectype, rettype))
2009 gcc_assert (TYPE_VECTOR_SUBPARTS (vectype)
2010 == TYPE_VECTOR_SUBPARTS (rettype));
2011 var = vect_get_new_vect_var (rettype, vect_simple_var, NULL);
2012 op = make_ssa_name (var, new_stmt);
2013 gimple_call_set_lhs (new_stmt, op);
2014 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2015 var = make_ssa_name (vec_dest);
2016 op = build1 (VIEW_CONVERT_EXPR, vectype, op);
2017 new_stmt = gimple_build_assign (var, VIEW_CONVERT_EXPR, op);
2019 else
2021 var = make_ssa_name (vec_dest, new_stmt);
2022 gimple_call_set_lhs (new_stmt, var);
2025 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2027 if (modifier == NARROW)
2029 if ((j & 1) == 0)
2031 prev_res = var;
2032 continue;
2034 var = permute_vec_elements (prev_res, var,
2035 perm_mask, stmt, gsi);
2036 new_stmt = SSA_NAME_DEF_STMT (var);
2039 if (prev_stmt_info == NULL)
2040 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
2041 else
2042 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
2043 prev_stmt_info = vinfo_for_stmt (new_stmt);
2046 /* Ensure that even with -fno-tree-dce the scalar MASK_LOAD is removed
2047 from the IL. */
2048 tree lhs = gimple_call_lhs (stmt);
2049 new_stmt = gimple_build_assign (lhs, build_zero_cst (TREE_TYPE (lhs)));
2050 set_vinfo_for_stmt (new_stmt, stmt_info);
2051 set_vinfo_for_stmt (stmt, NULL);
2052 STMT_VINFO_STMT (stmt_info) = new_stmt;
2053 gsi_replace (gsi, new_stmt, true);
2054 return true;
2056 else if (is_store)
2058 tree vec_rhs = NULL_TREE, vec_mask = NULL_TREE;
2059 prev_stmt_info = NULL;
2060 for (i = 0; i < ncopies; i++)
2062 unsigned align, misalign;
2064 if (i == 0)
2066 tree rhs = gimple_call_arg (stmt, 3);
2067 vec_rhs = vect_get_vec_def_for_operand (rhs, stmt, NULL);
2068 vec_mask = vect_get_vec_def_for_operand (mask, stmt, NULL);
2069 /* We should have catched mismatched types earlier. */
2070 gcc_assert (useless_type_conversion_p (vectype,
2071 TREE_TYPE (vec_rhs)));
2072 dataref_ptr = vect_create_data_ref_ptr (stmt, vectype, NULL,
2073 NULL_TREE, &dummy, gsi,
2074 &ptr_incr, false, &inv_p);
2075 gcc_assert (!inv_p);
2077 else
2079 vect_is_simple_use (vec_rhs, NULL, loop_vinfo, NULL, &def_stmt,
2080 &def, &dt);
2081 vec_rhs = vect_get_vec_def_for_stmt_copy (dt, vec_rhs);
2082 vect_is_simple_use (vec_mask, NULL, loop_vinfo, NULL, &def_stmt,
2083 &def, &dt);
2084 vec_mask = vect_get_vec_def_for_stmt_copy (dt, vec_mask);
2085 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi, stmt,
2086 TYPE_SIZE_UNIT (vectype));
2089 align = TYPE_ALIGN_UNIT (vectype);
2090 if (aligned_access_p (dr))
2091 misalign = 0;
2092 else if (DR_MISALIGNMENT (dr) == -1)
2094 align = TYPE_ALIGN_UNIT (elem_type);
2095 misalign = 0;
2097 else
2098 misalign = DR_MISALIGNMENT (dr);
2099 set_ptr_info_alignment (get_ptr_info (dataref_ptr), align,
2100 misalign);
2101 new_stmt
2102 = gimple_build_call_internal (IFN_MASK_STORE, 4, dataref_ptr,
2103 gimple_call_arg (stmt, 1),
2104 vec_mask, vec_rhs);
2105 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2106 if (i == 0)
2107 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
2108 else
2109 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
2110 prev_stmt_info = vinfo_for_stmt (new_stmt);
2113 else
2115 tree vec_mask = NULL_TREE;
2116 prev_stmt_info = NULL;
2117 vec_dest = vect_create_destination_var (gimple_call_lhs (stmt), vectype);
2118 for (i = 0; i < ncopies; i++)
2120 unsigned align, misalign;
2122 if (i == 0)
2124 vec_mask = vect_get_vec_def_for_operand (mask, stmt, NULL);
2125 dataref_ptr = vect_create_data_ref_ptr (stmt, vectype, NULL,
2126 NULL_TREE, &dummy, gsi,
2127 &ptr_incr, false, &inv_p);
2128 gcc_assert (!inv_p);
2130 else
2132 vect_is_simple_use (vec_mask, NULL, loop_vinfo, NULL, &def_stmt,
2133 &def, &dt);
2134 vec_mask = vect_get_vec_def_for_stmt_copy (dt, vec_mask);
2135 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi, stmt,
2136 TYPE_SIZE_UNIT (vectype));
2139 align = TYPE_ALIGN_UNIT (vectype);
2140 if (aligned_access_p (dr))
2141 misalign = 0;
2142 else if (DR_MISALIGNMENT (dr) == -1)
2144 align = TYPE_ALIGN_UNIT (elem_type);
2145 misalign = 0;
2147 else
2148 misalign = DR_MISALIGNMENT (dr);
2149 set_ptr_info_alignment (get_ptr_info (dataref_ptr), align,
2150 misalign);
2151 new_stmt
2152 = gimple_build_call_internal (IFN_MASK_LOAD, 3, dataref_ptr,
2153 gimple_call_arg (stmt, 1),
2154 vec_mask);
2155 gimple_call_set_lhs (new_stmt, make_ssa_name (vec_dest));
2156 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2157 if (i == 0)
2158 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
2159 else
2160 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
2161 prev_stmt_info = vinfo_for_stmt (new_stmt);
2165 if (!is_store)
2167 /* Ensure that even with -fno-tree-dce the scalar MASK_LOAD is removed
2168 from the IL. */
2169 tree lhs = gimple_call_lhs (stmt);
2170 new_stmt = gimple_build_assign (lhs, build_zero_cst (TREE_TYPE (lhs)));
2171 set_vinfo_for_stmt (new_stmt, stmt_info);
2172 set_vinfo_for_stmt (stmt, NULL);
2173 STMT_VINFO_STMT (stmt_info) = new_stmt;
2174 gsi_replace (gsi, new_stmt, true);
2177 return true;
2181 /* Function vectorizable_call.
2183 Check if GS performs a function call that can be vectorized.
2184 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
2185 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
2186 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
2188 static bool
2189 vectorizable_call (gimple gs, gimple_stmt_iterator *gsi, gimple *vec_stmt,
2190 slp_tree slp_node)
2192 gcall *stmt;
2193 tree vec_dest;
2194 tree scalar_dest;
2195 tree op, type;
2196 tree vec_oprnd0 = NULL_TREE, vec_oprnd1 = NULL_TREE;
2197 stmt_vec_info stmt_info = vinfo_for_stmt (gs), prev_stmt_info;
2198 tree vectype_out, vectype_in;
2199 int nunits_in;
2200 int nunits_out;
2201 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
2202 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
2203 tree fndecl, new_temp, def, rhs_type;
2204 gimple def_stmt;
2205 enum vect_def_type dt[3]
2206 = {vect_unknown_def_type, vect_unknown_def_type, vect_unknown_def_type};
2207 gimple new_stmt = NULL;
2208 int ncopies, j;
2209 vec<tree> vargs = vNULL;
2210 enum { NARROW, NONE, WIDEN } modifier;
2211 size_t i, nargs;
2212 tree lhs;
2214 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
2215 return false;
2217 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
2218 return false;
2220 /* Is GS a vectorizable call? */
2221 stmt = dyn_cast <gcall *> (gs);
2222 if (!stmt)
2223 return false;
2225 if (gimple_call_internal_p (stmt)
2226 && (gimple_call_internal_fn (stmt) == IFN_MASK_LOAD
2227 || gimple_call_internal_fn (stmt) == IFN_MASK_STORE))
2228 return vectorizable_mask_load_store (stmt, gsi, vec_stmt,
2229 slp_node);
2231 if (gimple_call_lhs (stmt) == NULL_TREE
2232 || TREE_CODE (gimple_call_lhs (stmt)) != SSA_NAME)
2233 return false;
2235 gcc_checking_assert (!stmt_can_throw_internal (stmt));
2237 vectype_out = STMT_VINFO_VECTYPE (stmt_info);
2239 /* Process function arguments. */
2240 rhs_type = NULL_TREE;
2241 vectype_in = NULL_TREE;
2242 nargs = gimple_call_num_args (stmt);
2244 /* Bail out if the function has more than three arguments, we do not have
2245 interesting builtin functions to vectorize with more than two arguments
2246 except for fma. No arguments is also not good. */
2247 if (nargs == 0 || nargs > 3)
2248 return false;
2250 /* Ignore the argument of IFN_GOMP_SIMD_LANE, it is magic. */
2251 if (gimple_call_internal_p (stmt)
2252 && gimple_call_internal_fn (stmt) == IFN_GOMP_SIMD_LANE)
2254 nargs = 0;
2255 rhs_type = unsigned_type_node;
2258 for (i = 0; i < nargs; i++)
2260 tree opvectype;
2262 op = gimple_call_arg (stmt, i);
2264 /* We can only handle calls with arguments of the same type. */
2265 if (rhs_type
2266 && !types_compatible_p (rhs_type, TREE_TYPE (op)))
2268 if (dump_enabled_p ())
2269 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2270 "argument types differ.\n");
2271 return false;
2273 if (!rhs_type)
2274 rhs_type = TREE_TYPE (op);
2276 if (!vect_is_simple_use_1 (op, stmt, loop_vinfo, bb_vinfo,
2277 &def_stmt, &def, &dt[i], &opvectype))
2279 if (dump_enabled_p ())
2280 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2281 "use not simple.\n");
2282 return false;
2285 if (!vectype_in)
2286 vectype_in = opvectype;
2287 else if (opvectype
2288 && opvectype != vectype_in)
2290 if (dump_enabled_p ())
2291 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2292 "argument vector types differ.\n");
2293 return false;
2296 /* If all arguments are external or constant defs use a vector type with
2297 the same size as the output vector type. */
2298 if (!vectype_in)
2299 vectype_in = get_same_sized_vectype (rhs_type, vectype_out);
2300 if (vec_stmt)
2301 gcc_assert (vectype_in);
2302 if (!vectype_in)
2304 if (dump_enabled_p ())
2306 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2307 "no vectype for scalar type ");
2308 dump_generic_expr (MSG_MISSED_OPTIMIZATION, TDF_SLIM, rhs_type);
2309 dump_printf (MSG_MISSED_OPTIMIZATION, "\n");
2312 return false;
2315 /* FORNOW */
2316 nunits_in = TYPE_VECTOR_SUBPARTS (vectype_in);
2317 nunits_out = TYPE_VECTOR_SUBPARTS (vectype_out);
2318 if (nunits_in == nunits_out / 2)
2319 modifier = NARROW;
2320 else if (nunits_out == nunits_in)
2321 modifier = NONE;
2322 else if (nunits_out == nunits_in / 2)
2323 modifier = WIDEN;
2324 else
2325 return false;
2327 /* For now, we only vectorize functions if a target specific builtin
2328 is available. TODO -- in some cases, it might be profitable to
2329 insert the calls for pieces of the vector, in order to be able
2330 to vectorize other operations in the loop. */
2331 fndecl = vectorizable_function (stmt, vectype_out, vectype_in);
2332 if (fndecl == NULL_TREE)
2334 if (gimple_call_internal_p (stmt)
2335 && gimple_call_internal_fn (stmt) == IFN_GOMP_SIMD_LANE
2336 && !slp_node
2337 && loop_vinfo
2338 && LOOP_VINFO_LOOP (loop_vinfo)->simduid
2339 && TREE_CODE (gimple_call_arg (stmt, 0)) == SSA_NAME
2340 && LOOP_VINFO_LOOP (loop_vinfo)->simduid
2341 == SSA_NAME_VAR (gimple_call_arg (stmt, 0)))
2343 /* We can handle IFN_GOMP_SIMD_LANE by returning a
2344 { 0, 1, 2, ... vf - 1 } vector. */
2345 gcc_assert (nargs == 0);
2347 else
2349 if (dump_enabled_p ())
2350 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2351 "function is not vectorizable.\n");
2352 return false;
2356 gcc_assert (!gimple_vuse (stmt));
2358 if (slp_node || PURE_SLP_STMT (stmt_info))
2359 ncopies = 1;
2360 else if (modifier == NARROW)
2361 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_out;
2362 else
2363 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_in;
2365 /* Sanity check: make sure that at least one copy of the vectorized stmt
2366 needs to be generated. */
2367 gcc_assert (ncopies >= 1);
2369 if (!vec_stmt) /* transformation not required. */
2371 STMT_VINFO_TYPE (stmt_info) = call_vec_info_type;
2372 if (dump_enabled_p ())
2373 dump_printf_loc (MSG_NOTE, vect_location, "=== vectorizable_call ==="
2374 "\n");
2375 vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL);
2376 return true;
2379 /** Transform. **/
2381 if (dump_enabled_p ())
2382 dump_printf_loc (MSG_NOTE, vect_location, "transform call.\n");
2384 /* Handle def. */
2385 scalar_dest = gimple_call_lhs (stmt);
2386 vec_dest = vect_create_destination_var (scalar_dest, vectype_out);
2388 prev_stmt_info = NULL;
2389 switch (modifier)
2391 case NONE:
2392 for (j = 0; j < ncopies; ++j)
2394 /* Build argument list for the vectorized call. */
2395 if (j == 0)
2396 vargs.create (nargs);
2397 else
2398 vargs.truncate (0);
2400 if (slp_node)
2402 auto_vec<vec<tree> > vec_defs (nargs);
2403 vec<tree> vec_oprnds0;
2405 for (i = 0; i < nargs; i++)
2406 vargs.quick_push (gimple_call_arg (stmt, i));
2407 vect_get_slp_defs (vargs, slp_node, &vec_defs, -1);
2408 vec_oprnds0 = vec_defs[0];
2410 /* Arguments are ready. Create the new vector stmt. */
2411 FOR_EACH_VEC_ELT (vec_oprnds0, i, vec_oprnd0)
2413 size_t k;
2414 for (k = 0; k < nargs; k++)
2416 vec<tree> vec_oprndsk = vec_defs[k];
2417 vargs[k] = vec_oprndsk[i];
2419 new_stmt = gimple_build_call_vec (fndecl, vargs);
2420 new_temp = make_ssa_name (vec_dest, new_stmt);
2421 gimple_call_set_lhs (new_stmt, new_temp);
2422 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2423 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
2426 for (i = 0; i < nargs; i++)
2428 vec<tree> vec_oprndsi = vec_defs[i];
2429 vec_oprndsi.release ();
2431 continue;
2434 for (i = 0; i < nargs; i++)
2436 op = gimple_call_arg (stmt, i);
2437 if (j == 0)
2438 vec_oprnd0
2439 = vect_get_vec_def_for_operand (op, stmt, NULL);
2440 else
2442 vec_oprnd0 = gimple_call_arg (new_stmt, i);
2443 vec_oprnd0
2444 = vect_get_vec_def_for_stmt_copy (dt[i], vec_oprnd0);
2447 vargs.quick_push (vec_oprnd0);
2450 if (gimple_call_internal_p (stmt)
2451 && gimple_call_internal_fn (stmt) == IFN_GOMP_SIMD_LANE)
2453 tree *v = XALLOCAVEC (tree, nunits_out);
2454 int k;
2455 for (k = 0; k < nunits_out; ++k)
2456 v[k] = build_int_cst (unsigned_type_node, j * nunits_out + k);
2457 tree cst = build_vector (vectype_out, v);
2458 tree new_var
2459 = vect_get_new_vect_var (vectype_out, vect_simple_var, "cst_");
2460 gimple init_stmt = gimple_build_assign (new_var, cst);
2461 new_temp = make_ssa_name (new_var, init_stmt);
2462 gimple_assign_set_lhs (init_stmt, new_temp);
2463 vect_init_vector_1 (stmt, init_stmt, NULL);
2464 new_temp = make_ssa_name (vec_dest);
2465 new_stmt = gimple_build_assign (new_temp,
2466 gimple_assign_lhs (init_stmt));
2468 else
2470 new_stmt = gimple_build_call_vec (fndecl, vargs);
2471 new_temp = make_ssa_name (vec_dest, new_stmt);
2472 gimple_call_set_lhs (new_stmt, new_temp);
2474 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2476 if (j == 0)
2477 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
2478 else
2479 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
2481 prev_stmt_info = vinfo_for_stmt (new_stmt);
2484 break;
2486 case NARROW:
2487 for (j = 0; j < ncopies; ++j)
2489 /* Build argument list for the vectorized call. */
2490 if (j == 0)
2491 vargs.create (nargs * 2);
2492 else
2493 vargs.truncate (0);
2495 if (slp_node)
2497 auto_vec<vec<tree> > vec_defs (nargs);
2498 vec<tree> vec_oprnds0;
2500 for (i = 0; i < nargs; i++)
2501 vargs.quick_push (gimple_call_arg (stmt, i));
2502 vect_get_slp_defs (vargs, slp_node, &vec_defs, -1);
2503 vec_oprnds0 = vec_defs[0];
2505 /* Arguments are ready. Create the new vector stmt. */
2506 for (i = 0; vec_oprnds0.iterate (i, &vec_oprnd0); i += 2)
2508 size_t k;
2509 vargs.truncate (0);
2510 for (k = 0; k < nargs; k++)
2512 vec<tree> vec_oprndsk = vec_defs[k];
2513 vargs.quick_push (vec_oprndsk[i]);
2514 vargs.quick_push (vec_oprndsk[i + 1]);
2516 new_stmt = gimple_build_call_vec (fndecl, vargs);
2517 new_temp = make_ssa_name (vec_dest, new_stmt);
2518 gimple_call_set_lhs (new_stmt, new_temp);
2519 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2520 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
2523 for (i = 0; i < nargs; i++)
2525 vec<tree> vec_oprndsi = vec_defs[i];
2526 vec_oprndsi.release ();
2528 continue;
2531 for (i = 0; i < nargs; i++)
2533 op = gimple_call_arg (stmt, i);
2534 if (j == 0)
2536 vec_oprnd0
2537 = vect_get_vec_def_for_operand (op, stmt, NULL);
2538 vec_oprnd1
2539 = vect_get_vec_def_for_stmt_copy (dt[i], vec_oprnd0);
2541 else
2543 vec_oprnd1 = gimple_call_arg (new_stmt, 2*i + 1);
2544 vec_oprnd0
2545 = vect_get_vec_def_for_stmt_copy (dt[i], vec_oprnd1);
2546 vec_oprnd1
2547 = vect_get_vec_def_for_stmt_copy (dt[i], vec_oprnd0);
2550 vargs.quick_push (vec_oprnd0);
2551 vargs.quick_push (vec_oprnd1);
2554 new_stmt = gimple_build_call_vec (fndecl, vargs);
2555 new_temp = make_ssa_name (vec_dest, new_stmt);
2556 gimple_call_set_lhs (new_stmt, new_temp);
2557 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2559 if (j == 0)
2560 STMT_VINFO_VEC_STMT (stmt_info) = new_stmt;
2561 else
2562 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
2564 prev_stmt_info = vinfo_for_stmt (new_stmt);
2567 *vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
2569 break;
2571 case WIDEN:
2572 /* No current target implements this case. */
2573 return false;
2576 vargs.release ();
2578 /* The call in STMT might prevent it from being removed in dce.
2579 We however cannot remove it here, due to the way the ssa name
2580 it defines is mapped to the new definition. So just replace
2581 rhs of the statement with something harmless. */
2583 if (slp_node)
2584 return true;
2586 type = TREE_TYPE (scalar_dest);
2587 if (is_pattern_stmt_p (stmt_info))
2588 lhs = gimple_call_lhs (STMT_VINFO_RELATED_STMT (stmt_info));
2589 else
2590 lhs = gimple_call_lhs (stmt);
2592 if (gimple_call_internal_p (stmt)
2593 && gimple_call_internal_fn (stmt) == IFN_GOMP_SIMD_LANE)
2595 /* Replace uses of the lhs of GOMP_SIMD_LANE call outside the loop
2596 with vf - 1 rather than 0, that is the last iteration of the
2597 vectorized loop. */
2598 imm_use_iterator iter;
2599 use_operand_p use_p;
2600 gimple use_stmt;
2601 FOR_EACH_IMM_USE_STMT (use_stmt, iter, lhs)
2603 basic_block use_bb = gimple_bb (use_stmt);
2604 if (use_bb
2605 && !flow_bb_inside_loop_p (LOOP_VINFO_LOOP (loop_vinfo), use_bb))
2607 FOR_EACH_IMM_USE_ON_STMT (use_p, iter)
2608 SET_USE (use_p, build_int_cst (TREE_TYPE (lhs),
2609 ncopies * nunits_out - 1));
2610 update_stmt (use_stmt);
2615 new_stmt = gimple_build_assign (lhs, build_zero_cst (type));
2616 set_vinfo_for_stmt (new_stmt, stmt_info);
2617 set_vinfo_for_stmt (stmt, NULL);
2618 STMT_VINFO_STMT (stmt_info) = new_stmt;
2619 gsi_replace (gsi, new_stmt, false);
2621 return true;
2625 struct simd_call_arg_info
2627 tree vectype;
2628 tree op;
2629 enum vect_def_type dt;
2630 HOST_WIDE_INT linear_step;
2631 unsigned int align;
2632 bool simd_lane_linear;
2635 /* Helper function of vectorizable_simd_clone_call. If OP, an SSA_NAME,
2636 is linear within simd lane (but not within whole loop), note it in
2637 *ARGINFO. */
2639 static void
2640 vect_simd_lane_linear (tree op, struct loop *loop,
2641 struct simd_call_arg_info *arginfo)
2643 gimple def_stmt = SSA_NAME_DEF_STMT (op);
2645 if (!is_gimple_assign (def_stmt)
2646 || gimple_assign_rhs_code (def_stmt) != POINTER_PLUS_EXPR
2647 || !is_gimple_min_invariant (gimple_assign_rhs1 (def_stmt)))
2648 return;
2650 tree base = gimple_assign_rhs1 (def_stmt);
2651 HOST_WIDE_INT linear_step = 0;
2652 tree v = gimple_assign_rhs2 (def_stmt);
2653 while (TREE_CODE (v) == SSA_NAME)
2655 tree t;
2656 def_stmt = SSA_NAME_DEF_STMT (v);
2657 if (is_gimple_assign (def_stmt))
2658 switch (gimple_assign_rhs_code (def_stmt))
2660 case PLUS_EXPR:
2661 t = gimple_assign_rhs2 (def_stmt);
2662 if (linear_step || TREE_CODE (t) != INTEGER_CST)
2663 return;
2664 base = fold_build2 (POINTER_PLUS_EXPR, TREE_TYPE (base), base, t);
2665 v = gimple_assign_rhs1 (def_stmt);
2666 continue;
2667 case MULT_EXPR:
2668 t = gimple_assign_rhs2 (def_stmt);
2669 if (linear_step || !tree_fits_shwi_p (t) || integer_zerop (t))
2670 return;
2671 linear_step = tree_to_shwi (t);
2672 v = gimple_assign_rhs1 (def_stmt);
2673 continue;
2674 CASE_CONVERT:
2675 t = gimple_assign_rhs1 (def_stmt);
2676 if (TREE_CODE (TREE_TYPE (t)) != INTEGER_TYPE
2677 || (TYPE_PRECISION (TREE_TYPE (v))
2678 < TYPE_PRECISION (TREE_TYPE (t))))
2679 return;
2680 if (!linear_step)
2681 linear_step = 1;
2682 v = t;
2683 continue;
2684 default:
2685 return;
2687 else if (is_gimple_call (def_stmt)
2688 && gimple_call_internal_p (def_stmt)
2689 && gimple_call_internal_fn (def_stmt) == IFN_GOMP_SIMD_LANE
2690 && loop->simduid
2691 && TREE_CODE (gimple_call_arg (def_stmt, 0)) == SSA_NAME
2692 && (SSA_NAME_VAR (gimple_call_arg (def_stmt, 0))
2693 == loop->simduid))
2695 if (!linear_step)
2696 linear_step = 1;
2697 arginfo->linear_step = linear_step;
2698 arginfo->op = base;
2699 arginfo->simd_lane_linear = true;
2700 return;
2705 /* Function vectorizable_simd_clone_call.
2707 Check if STMT performs a function call that can be vectorized
2708 by calling a simd clone of the function.
2709 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
2710 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
2711 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
2713 static bool
2714 vectorizable_simd_clone_call (gimple stmt, gimple_stmt_iterator *gsi,
2715 gimple *vec_stmt, slp_tree slp_node)
2717 tree vec_dest;
2718 tree scalar_dest;
2719 tree op, type;
2720 tree vec_oprnd0 = NULL_TREE;
2721 stmt_vec_info stmt_info = vinfo_for_stmt (stmt), prev_stmt_info;
2722 tree vectype;
2723 unsigned int nunits;
2724 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
2725 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
2726 struct loop *loop = loop_vinfo ? LOOP_VINFO_LOOP (loop_vinfo) : NULL;
2727 tree fndecl, new_temp, def;
2728 gimple def_stmt;
2729 gimple new_stmt = NULL;
2730 int ncopies, j;
2731 vec<simd_call_arg_info> arginfo = vNULL;
2732 vec<tree> vargs = vNULL;
2733 size_t i, nargs;
2734 tree lhs, rtype, ratype;
2735 vec<constructor_elt, va_gc> *ret_ctor_elts;
2737 /* Is STMT a vectorizable call? */
2738 if (!is_gimple_call (stmt))
2739 return false;
2741 fndecl = gimple_call_fndecl (stmt);
2742 if (fndecl == NULL_TREE)
2743 return false;
2745 struct cgraph_node *node = cgraph_node::get (fndecl);
2746 if (node == NULL || node->simd_clones == NULL)
2747 return false;
2749 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
2750 return false;
2752 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
2753 return false;
2755 if (gimple_call_lhs (stmt)
2756 && TREE_CODE (gimple_call_lhs (stmt)) != SSA_NAME)
2757 return false;
2759 gcc_checking_assert (!stmt_can_throw_internal (stmt));
2761 vectype = STMT_VINFO_VECTYPE (stmt_info);
2763 if (loop_vinfo && nested_in_vect_loop_p (loop, stmt))
2764 return false;
2766 /* FORNOW */
2767 if (slp_node || PURE_SLP_STMT (stmt_info))
2768 return false;
2770 /* Process function arguments. */
2771 nargs = gimple_call_num_args (stmt);
2773 /* Bail out if the function has zero arguments. */
2774 if (nargs == 0)
2775 return false;
2777 arginfo.create (nargs);
2779 for (i = 0; i < nargs; i++)
2781 simd_call_arg_info thisarginfo;
2782 affine_iv iv;
2784 thisarginfo.linear_step = 0;
2785 thisarginfo.align = 0;
2786 thisarginfo.op = NULL_TREE;
2787 thisarginfo.simd_lane_linear = false;
2789 op = gimple_call_arg (stmt, i);
2790 if (!vect_is_simple_use_1 (op, stmt, loop_vinfo, bb_vinfo,
2791 &def_stmt, &def, &thisarginfo.dt,
2792 &thisarginfo.vectype)
2793 || thisarginfo.dt == vect_uninitialized_def)
2795 if (dump_enabled_p ())
2796 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2797 "use not simple.\n");
2798 arginfo.release ();
2799 return false;
2802 if (thisarginfo.dt == vect_constant_def
2803 || thisarginfo.dt == vect_external_def)
2804 gcc_assert (thisarginfo.vectype == NULL_TREE);
2805 else
2806 gcc_assert (thisarginfo.vectype != NULL_TREE);
2808 /* For linear arguments, the analyze phase should have saved
2809 the base and step in STMT_VINFO_SIMD_CLONE_INFO. */
2810 if (i * 3 + 4 <= STMT_VINFO_SIMD_CLONE_INFO (stmt_info).length ()
2811 && STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[i * 3 + 2])
2813 gcc_assert (vec_stmt);
2814 thisarginfo.linear_step
2815 = tree_to_shwi (STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[i * 3 + 2]);
2816 thisarginfo.op
2817 = STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[i * 3 + 1];
2818 thisarginfo.simd_lane_linear
2819 = (STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[i * 3 + 3]
2820 == boolean_true_node);
2821 /* If loop has been peeled for alignment, we need to adjust it. */
2822 tree n1 = LOOP_VINFO_NITERS_UNCHANGED (loop_vinfo);
2823 tree n2 = LOOP_VINFO_NITERS (loop_vinfo);
2824 if (n1 != n2 && !thisarginfo.simd_lane_linear)
2826 tree bias = fold_build2 (MINUS_EXPR, TREE_TYPE (n1), n1, n2);
2827 tree step = STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[i * 3 + 2];
2828 tree opt = TREE_TYPE (thisarginfo.op);
2829 bias = fold_convert (TREE_TYPE (step), bias);
2830 bias = fold_build2 (MULT_EXPR, TREE_TYPE (step), bias, step);
2831 thisarginfo.op
2832 = fold_build2 (POINTER_TYPE_P (opt)
2833 ? POINTER_PLUS_EXPR : PLUS_EXPR, opt,
2834 thisarginfo.op, bias);
2837 else if (!vec_stmt
2838 && thisarginfo.dt != vect_constant_def
2839 && thisarginfo.dt != vect_external_def
2840 && loop_vinfo
2841 && TREE_CODE (op) == SSA_NAME
2842 && simple_iv (loop, loop_containing_stmt (stmt), op,
2843 &iv, false)
2844 && tree_fits_shwi_p (iv.step))
2846 thisarginfo.linear_step = tree_to_shwi (iv.step);
2847 thisarginfo.op = iv.base;
2849 else if ((thisarginfo.dt == vect_constant_def
2850 || thisarginfo.dt == vect_external_def)
2851 && POINTER_TYPE_P (TREE_TYPE (op)))
2852 thisarginfo.align = get_pointer_alignment (op) / BITS_PER_UNIT;
2853 /* Addresses of array elements indexed by GOMP_SIMD_LANE are
2854 linear too. */
2855 if (POINTER_TYPE_P (TREE_TYPE (op))
2856 && !thisarginfo.linear_step
2857 && !vec_stmt
2858 && thisarginfo.dt != vect_constant_def
2859 && thisarginfo.dt != vect_external_def
2860 && loop_vinfo
2861 && !slp_node
2862 && TREE_CODE (op) == SSA_NAME)
2863 vect_simd_lane_linear (op, loop, &thisarginfo);
2865 arginfo.quick_push (thisarginfo);
2868 unsigned int badness = 0;
2869 struct cgraph_node *bestn = NULL;
2870 if (STMT_VINFO_SIMD_CLONE_INFO (stmt_info).exists ())
2871 bestn = cgraph_node::get (STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[0]);
2872 else
2873 for (struct cgraph_node *n = node->simd_clones; n != NULL;
2874 n = n->simdclone->next_clone)
2876 unsigned int this_badness = 0;
2877 if (n->simdclone->simdlen
2878 > (unsigned) LOOP_VINFO_VECT_FACTOR (loop_vinfo)
2879 || n->simdclone->nargs != nargs)
2880 continue;
2881 if (n->simdclone->simdlen
2882 < (unsigned) LOOP_VINFO_VECT_FACTOR (loop_vinfo))
2883 this_badness += (exact_log2 (LOOP_VINFO_VECT_FACTOR (loop_vinfo))
2884 - exact_log2 (n->simdclone->simdlen)) * 1024;
2885 if (n->simdclone->inbranch)
2886 this_badness += 2048;
2887 int target_badness = targetm.simd_clone.usable (n);
2888 if (target_badness < 0)
2889 continue;
2890 this_badness += target_badness * 512;
2891 /* FORNOW: Have to add code to add the mask argument. */
2892 if (n->simdclone->inbranch)
2893 continue;
2894 for (i = 0; i < nargs; i++)
2896 switch (n->simdclone->args[i].arg_type)
2898 case SIMD_CLONE_ARG_TYPE_VECTOR:
2899 if (!useless_type_conversion_p
2900 (n->simdclone->args[i].orig_type,
2901 TREE_TYPE (gimple_call_arg (stmt, i))))
2902 i = -1;
2903 else if (arginfo[i].dt == vect_constant_def
2904 || arginfo[i].dt == vect_external_def
2905 || arginfo[i].linear_step)
2906 this_badness += 64;
2907 break;
2908 case SIMD_CLONE_ARG_TYPE_UNIFORM:
2909 if (arginfo[i].dt != vect_constant_def
2910 && arginfo[i].dt != vect_external_def)
2911 i = -1;
2912 break;
2913 case SIMD_CLONE_ARG_TYPE_LINEAR_CONSTANT_STEP:
2914 if (arginfo[i].dt == vect_constant_def
2915 || arginfo[i].dt == vect_external_def
2916 || (arginfo[i].linear_step
2917 != n->simdclone->args[i].linear_step))
2918 i = -1;
2919 break;
2920 case SIMD_CLONE_ARG_TYPE_LINEAR_VARIABLE_STEP:
2921 /* FORNOW */
2922 i = -1;
2923 break;
2924 case SIMD_CLONE_ARG_TYPE_MASK:
2925 gcc_unreachable ();
2927 if (i == (size_t) -1)
2928 break;
2929 if (n->simdclone->args[i].alignment > arginfo[i].align)
2931 i = -1;
2932 break;
2934 if (arginfo[i].align)
2935 this_badness += (exact_log2 (arginfo[i].align)
2936 - exact_log2 (n->simdclone->args[i].alignment));
2938 if (i == (size_t) -1)
2939 continue;
2940 if (bestn == NULL || this_badness < badness)
2942 bestn = n;
2943 badness = this_badness;
2947 if (bestn == NULL)
2949 arginfo.release ();
2950 return false;
2953 for (i = 0; i < nargs; i++)
2954 if ((arginfo[i].dt == vect_constant_def
2955 || arginfo[i].dt == vect_external_def)
2956 && bestn->simdclone->args[i].arg_type == SIMD_CLONE_ARG_TYPE_VECTOR)
2958 arginfo[i].vectype
2959 = get_vectype_for_scalar_type (TREE_TYPE (gimple_call_arg (stmt,
2960 i)));
2961 if (arginfo[i].vectype == NULL
2962 || (TYPE_VECTOR_SUBPARTS (arginfo[i].vectype)
2963 > bestn->simdclone->simdlen))
2965 arginfo.release ();
2966 return false;
2970 fndecl = bestn->decl;
2971 nunits = bestn->simdclone->simdlen;
2972 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
2974 /* If the function isn't const, only allow it in simd loops where user
2975 has asserted that at least nunits consecutive iterations can be
2976 performed using SIMD instructions. */
2977 if ((loop == NULL || (unsigned) loop->safelen < nunits)
2978 && gimple_vuse (stmt))
2980 arginfo.release ();
2981 return false;
2984 /* Sanity check: make sure that at least one copy of the vectorized stmt
2985 needs to be generated. */
2986 gcc_assert (ncopies >= 1);
2988 if (!vec_stmt) /* transformation not required. */
2990 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).safe_push (bestn->decl);
2991 for (i = 0; i < nargs; i++)
2992 if (bestn->simdclone->args[i].arg_type
2993 == SIMD_CLONE_ARG_TYPE_LINEAR_CONSTANT_STEP)
2995 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).safe_grow_cleared (i * 3
2996 + 1);
2997 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).safe_push (arginfo[i].op);
2998 tree lst = POINTER_TYPE_P (TREE_TYPE (arginfo[i].op))
2999 ? size_type_node : TREE_TYPE (arginfo[i].op);
3000 tree ls = build_int_cst (lst, arginfo[i].linear_step);
3001 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).safe_push (ls);
3002 tree sll = arginfo[i].simd_lane_linear
3003 ? boolean_true_node : boolean_false_node;
3004 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).safe_push (sll);
3006 STMT_VINFO_TYPE (stmt_info) = call_simd_clone_vec_info_type;
3007 if (dump_enabled_p ())
3008 dump_printf_loc (MSG_NOTE, vect_location,
3009 "=== vectorizable_simd_clone_call ===\n");
3010 /* vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL); */
3011 arginfo.release ();
3012 return true;
3015 /** Transform. **/
3017 if (dump_enabled_p ())
3018 dump_printf_loc (MSG_NOTE, vect_location, "transform call.\n");
3020 /* Handle def. */
3021 scalar_dest = gimple_call_lhs (stmt);
3022 vec_dest = NULL_TREE;
3023 rtype = NULL_TREE;
3024 ratype = NULL_TREE;
3025 if (scalar_dest)
3027 vec_dest = vect_create_destination_var (scalar_dest, vectype);
3028 rtype = TREE_TYPE (TREE_TYPE (fndecl));
3029 if (TREE_CODE (rtype) == ARRAY_TYPE)
3031 ratype = rtype;
3032 rtype = TREE_TYPE (ratype);
3036 prev_stmt_info = NULL;
3037 for (j = 0; j < ncopies; ++j)
3039 /* Build argument list for the vectorized call. */
3040 if (j == 0)
3041 vargs.create (nargs);
3042 else
3043 vargs.truncate (0);
3045 for (i = 0; i < nargs; i++)
3047 unsigned int k, l, m, o;
3048 tree atype;
3049 op = gimple_call_arg (stmt, i);
3050 switch (bestn->simdclone->args[i].arg_type)
3052 case SIMD_CLONE_ARG_TYPE_VECTOR:
3053 atype = bestn->simdclone->args[i].vector_type;
3054 o = nunits / TYPE_VECTOR_SUBPARTS (atype);
3055 for (m = j * o; m < (j + 1) * o; m++)
3057 if (TYPE_VECTOR_SUBPARTS (atype)
3058 < TYPE_VECTOR_SUBPARTS (arginfo[i].vectype))
3060 unsigned int prec = GET_MODE_BITSIZE (TYPE_MODE (atype));
3061 k = (TYPE_VECTOR_SUBPARTS (arginfo[i].vectype)
3062 / TYPE_VECTOR_SUBPARTS (atype));
3063 gcc_assert ((k & (k - 1)) == 0);
3064 if (m == 0)
3065 vec_oprnd0
3066 = vect_get_vec_def_for_operand (op, stmt, NULL);
3067 else
3069 vec_oprnd0 = arginfo[i].op;
3070 if ((m & (k - 1)) == 0)
3071 vec_oprnd0
3072 = vect_get_vec_def_for_stmt_copy (arginfo[i].dt,
3073 vec_oprnd0);
3075 arginfo[i].op = vec_oprnd0;
3076 vec_oprnd0
3077 = build3 (BIT_FIELD_REF, atype, vec_oprnd0,
3078 size_int (prec),
3079 bitsize_int ((m & (k - 1)) * prec));
3080 new_stmt
3081 = gimple_build_assign (make_ssa_name (atype),
3082 vec_oprnd0);
3083 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3084 vargs.safe_push (gimple_assign_lhs (new_stmt));
3086 else
3088 k = (TYPE_VECTOR_SUBPARTS (atype)
3089 / TYPE_VECTOR_SUBPARTS (arginfo[i].vectype));
3090 gcc_assert ((k & (k - 1)) == 0);
3091 vec<constructor_elt, va_gc> *ctor_elts;
3092 if (k != 1)
3093 vec_alloc (ctor_elts, k);
3094 else
3095 ctor_elts = NULL;
3096 for (l = 0; l < k; l++)
3098 if (m == 0 && l == 0)
3099 vec_oprnd0
3100 = vect_get_vec_def_for_operand (op, stmt, NULL);
3101 else
3102 vec_oprnd0
3103 = vect_get_vec_def_for_stmt_copy (arginfo[i].dt,
3104 arginfo[i].op);
3105 arginfo[i].op = vec_oprnd0;
3106 if (k == 1)
3107 break;
3108 CONSTRUCTOR_APPEND_ELT (ctor_elts, NULL_TREE,
3109 vec_oprnd0);
3111 if (k == 1)
3112 vargs.safe_push (vec_oprnd0);
3113 else
3115 vec_oprnd0 = build_constructor (atype, ctor_elts);
3116 new_stmt
3117 = gimple_build_assign (make_ssa_name (atype),
3118 vec_oprnd0);
3119 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3120 vargs.safe_push (gimple_assign_lhs (new_stmt));
3124 break;
3125 case SIMD_CLONE_ARG_TYPE_UNIFORM:
3126 vargs.safe_push (op);
3127 break;
3128 case SIMD_CLONE_ARG_TYPE_LINEAR_CONSTANT_STEP:
3129 if (j == 0)
3131 gimple_seq stmts;
3132 arginfo[i].op
3133 = force_gimple_operand (arginfo[i].op, &stmts, true,
3134 NULL_TREE);
3135 if (stmts != NULL)
3137 basic_block new_bb;
3138 edge pe = loop_preheader_edge (loop);
3139 new_bb = gsi_insert_seq_on_edge_immediate (pe, stmts);
3140 gcc_assert (!new_bb);
3142 if (arginfo[i].simd_lane_linear)
3144 vargs.safe_push (arginfo[i].op);
3145 break;
3147 tree phi_res = copy_ssa_name (op);
3148 gphi *new_phi = create_phi_node (phi_res, loop->header);
3149 set_vinfo_for_stmt (new_phi,
3150 new_stmt_vec_info (new_phi, loop_vinfo,
3151 NULL));
3152 add_phi_arg (new_phi, arginfo[i].op,
3153 loop_preheader_edge (loop), UNKNOWN_LOCATION);
3154 enum tree_code code
3155 = POINTER_TYPE_P (TREE_TYPE (op))
3156 ? POINTER_PLUS_EXPR : PLUS_EXPR;
3157 tree type = POINTER_TYPE_P (TREE_TYPE (op))
3158 ? sizetype : TREE_TYPE (op);
3159 widest_int cst
3160 = wi::mul (bestn->simdclone->args[i].linear_step,
3161 ncopies * nunits);
3162 tree tcst = wide_int_to_tree (type, cst);
3163 tree phi_arg = copy_ssa_name (op);
3164 new_stmt
3165 = gimple_build_assign (phi_arg, code, phi_res, tcst);
3166 gimple_stmt_iterator si = gsi_after_labels (loop->header);
3167 gsi_insert_after (&si, new_stmt, GSI_NEW_STMT);
3168 set_vinfo_for_stmt (new_stmt,
3169 new_stmt_vec_info (new_stmt, loop_vinfo,
3170 NULL));
3171 add_phi_arg (new_phi, phi_arg, loop_latch_edge (loop),
3172 UNKNOWN_LOCATION);
3173 arginfo[i].op = phi_res;
3174 vargs.safe_push (phi_res);
3176 else
3178 enum tree_code code
3179 = POINTER_TYPE_P (TREE_TYPE (op))
3180 ? POINTER_PLUS_EXPR : PLUS_EXPR;
3181 tree type = POINTER_TYPE_P (TREE_TYPE (op))
3182 ? sizetype : TREE_TYPE (op);
3183 widest_int cst
3184 = wi::mul (bestn->simdclone->args[i].linear_step,
3185 j * nunits);
3186 tree tcst = wide_int_to_tree (type, cst);
3187 new_temp = make_ssa_name (TREE_TYPE (op));
3188 new_stmt = gimple_build_assign (new_temp, code,
3189 arginfo[i].op, tcst);
3190 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3191 vargs.safe_push (new_temp);
3193 break;
3194 case SIMD_CLONE_ARG_TYPE_LINEAR_VARIABLE_STEP:
3195 default:
3196 gcc_unreachable ();
3200 new_stmt = gimple_build_call_vec (fndecl, vargs);
3201 if (vec_dest)
3203 gcc_assert (ratype || TYPE_VECTOR_SUBPARTS (rtype) == nunits);
3204 if (ratype)
3205 new_temp = create_tmp_var (ratype);
3206 else if (TYPE_VECTOR_SUBPARTS (vectype)
3207 == TYPE_VECTOR_SUBPARTS (rtype))
3208 new_temp = make_ssa_name (vec_dest, new_stmt);
3209 else
3210 new_temp = make_ssa_name (rtype, new_stmt);
3211 gimple_call_set_lhs (new_stmt, new_temp);
3213 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3215 if (vec_dest)
3217 if (TYPE_VECTOR_SUBPARTS (vectype) < nunits)
3219 unsigned int k, l;
3220 unsigned int prec = GET_MODE_BITSIZE (TYPE_MODE (vectype));
3221 k = nunits / TYPE_VECTOR_SUBPARTS (vectype);
3222 gcc_assert ((k & (k - 1)) == 0);
3223 for (l = 0; l < k; l++)
3225 tree t;
3226 if (ratype)
3228 t = build_fold_addr_expr (new_temp);
3229 t = build2 (MEM_REF, vectype, t,
3230 build_int_cst (TREE_TYPE (t),
3231 l * prec / BITS_PER_UNIT));
3233 else
3234 t = build3 (BIT_FIELD_REF, vectype, new_temp,
3235 size_int (prec), bitsize_int (l * prec));
3236 new_stmt
3237 = gimple_build_assign (make_ssa_name (vectype), t);
3238 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3239 if (j == 0 && l == 0)
3240 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
3241 else
3242 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
3244 prev_stmt_info = vinfo_for_stmt (new_stmt);
3247 if (ratype)
3249 tree clobber = build_constructor (ratype, NULL);
3250 TREE_THIS_VOLATILE (clobber) = 1;
3251 new_stmt = gimple_build_assign (new_temp, clobber);
3252 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3254 continue;
3256 else if (TYPE_VECTOR_SUBPARTS (vectype) > nunits)
3258 unsigned int k = (TYPE_VECTOR_SUBPARTS (vectype)
3259 / TYPE_VECTOR_SUBPARTS (rtype));
3260 gcc_assert ((k & (k - 1)) == 0);
3261 if ((j & (k - 1)) == 0)
3262 vec_alloc (ret_ctor_elts, k);
3263 if (ratype)
3265 unsigned int m, o = nunits / TYPE_VECTOR_SUBPARTS (rtype);
3266 for (m = 0; m < o; m++)
3268 tree tem = build4 (ARRAY_REF, rtype, new_temp,
3269 size_int (m), NULL_TREE, NULL_TREE);
3270 new_stmt
3271 = gimple_build_assign (make_ssa_name (rtype), tem);
3272 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3273 CONSTRUCTOR_APPEND_ELT (ret_ctor_elts, NULL_TREE,
3274 gimple_assign_lhs (new_stmt));
3276 tree clobber = build_constructor (ratype, NULL);
3277 TREE_THIS_VOLATILE (clobber) = 1;
3278 new_stmt = gimple_build_assign (new_temp, clobber);
3279 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3281 else
3282 CONSTRUCTOR_APPEND_ELT (ret_ctor_elts, NULL_TREE, new_temp);
3283 if ((j & (k - 1)) != k - 1)
3284 continue;
3285 vec_oprnd0 = build_constructor (vectype, ret_ctor_elts);
3286 new_stmt
3287 = gimple_build_assign (make_ssa_name (vec_dest), vec_oprnd0);
3288 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3290 if ((unsigned) j == k - 1)
3291 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
3292 else
3293 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
3295 prev_stmt_info = vinfo_for_stmt (new_stmt);
3296 continue;
3298 else if (ratype)
3300 tree t = build_fold_addr_expr (new_temp);
3301 t = build2 (MEM_REF, vectype, t,
3302 build_int_cst (TREE_TYPE (t), 0));
3303 new_stmt
3304 = gimple_build_assign (make_ssa_name (vec_dest), t);
3305 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3306 tree clobber = build_constructor (ratype, NULL);
3307 TREE_THIS_VOLATILE (clobber) = 1;
3308 vect_finish_stmt_generation (stmt,
3309 gimple_build_assign (new_temp,
3310 clobber), gsi);
3314 if (j == 0)
3315 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
3316 else
3317 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
3319 prev_stmt_info = vinfo_for_stmt (new_stmt);
3322 vargs.release ();
3324 /* The call in STMT might prevent it from being removed in dce.
3325 We however cannot remove it here, due to the way the ssa name
3326 it defines is mapped to the new definition. So just replace
3327 rhs of the statement with something harmless. */
3329 if (slp_node)
3330 return true;
3332 if (scalar_dest)
3334 type = TREE_TYPE (scalar_dest);
3335 if (is_pattern_stmt_p (stmt_info))
3336 lhs = gimple_call_lhs (STMT_VINFO_RELATED_STMT (stmt_info));
3337 else
3338 lhs = gimple_call_lhs (stmt);
3339 new_stmt = gimple_build_assign (lhs, build_zero_cst (type));
3341 else
3342 new_stmt = gimple_build_nop ();
3343 set_vinfo_for_stmt (new_stmt, stmt_info);
3344 set_vinfo_for_stmt (stmt, NULL);
3345 STMT_VINFO_STMT (stmt_info) = new_stmt;
3346 gsi_replace (gsi, new_stmt, true);
3347 unlink_stmt_vdef (stmt);
3349 return true;
3353 /* Function vect_gen_widened_results_half
3355 Create a vector stmt whose code, type, number of arguments, and result
3356 variable are CODE, OP_TYPE, and VEC_DEST, and its arguments are
3357 VEC_OPRND0 and VEC_OPRND1. The new vector stmt is to be inserted at BSI.
3358 In the case that CODE is a CALL_EXPR, this means that a call to DECL
3359 needs to be created (DECL is a function-decl of a target-builtin).
3360 STMT is the original scalar stmt that we are vectorizing. */
3362 static gimple
3363 vect_gen_widened_results_half (enum tree_code code,
3364 tree decl,
3365 tree vec_oprnd0, tree vec_oprnd1, int op_type,
3366 tree vec_dest, gimple_stmt_iterator *gsi,
3367 gimple stmt)
3369 gimple new_stmt;
3370 tree new_temp;
3372 /* Generate half of the widened result: */
3373 if (code == CALL_EXPR)
3375 /* Target specific support */
3376 if (op_type == binary_op)
3377 new_stmt = gimple_build_call (decl, 2, vec_oprnd0, vec_oprnd1);
3378 else
3379 new_stmt = gimple_build_call (decl, 1, vec_oprnd0);
3380 new_temp = make_ssa_name (vec_dest, new_stmt);
3381 gimple_call_set_lhs (new_stmt, new_temp);
3383 else
3385 /* Generic support */
3386 gcc_assert (op_type == TREE_CODE_LENGTH (code));
3387 if (op_type != binary_op)
3388 vec_oprnd1 = NULL;
3389 new_stmt = gimple_build_assign (vec_dest, code, vec_oprnd0, vec_oprnd1);
3390 new_temp = make_ssa_name (vec_dest, new_stmt);
3391 gimple_assign_set_lhs (new_stmt, new_temp);
3393 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3395 return new_stmt;
3399 /* Get vectorized definitions for loop-based vectorization. For the first
3400 operand we call vect_get_vec_def_for_operand() (with OPRND containing
3401 scalar operand), and for the rest we get a copy with
3402 vect_get_vec_def_for_stmt_copy() using the previous vector definition
3403 (stored in OPRND). See vect_get_vec_def_for_stmt_copy() for details.
3404 The vectors are collected into VEC_OPRNDS. */
3406 static void
3407 vect_get_loop_based_defs (tree *oprnd, gimple stmt, enum vect_def_type dt,
3408 vec<tree> *vec_oprnds, int multi_step_cvt)
3410 tree vec_oprnd;
3412 /* Get first vector operand. */
3413 /* All the vector operands except the very first one (that is scalar oprnd)
3414 are stmt copies. */
3415 if (TREE_CODE (TREE_TYPE (*oprnd)) != VECTOR_TYPE)
3416 vec_oprnd = vect_get_vec_def_for_operand (*oprnd, stmt, NULL);
3417 else
3418 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt, *oprnd);
3420 vec_oprnds->quick_push (vec_oprnd);
3422 /* Get second vector operand. */
3423 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt, vec_oprnd);
3424 vec_oprnds->quick_push (vec_oprnd);
3426 *oprnd = vec_oprnd;
3428 /* For conversion in multiple steps, continue to get operands
3429 recursively. */
3430 if (multi_step_cvt)
3431 vect_get_loop_based_defs (oprnd, stmt, dt, vec_oprnds, multi_step_cvt - 1);
3435 /* Create vectorized demotion statements for vector operands from VEC_OPRNDS.
3436 For multi-step conversions store the resulting vectors and call the function
3437 recursively. */
3439 static void
3440 vect_create_vectorized_demotion_stmts (vec<tree> *vec_oprnds,
3441 int multi_step_cvt, gimple stmt,
3442 vec<tree> vec_dsts,
3443 gimple_stmt_iterator *gsi,
3444 slp_tree slp_node, enum tree_code code,
3445 stmt_vec_info *prev_stmt_info)
3447 unsigned int i;
3448 tree vop0, vop1, new_tmp, vec_dest;
3449 gimple new_stmt;
3450 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
3452 vec_dest = vec_dsts.pop ();
3454 for (i = 0; i < vec_oprnds->length (); i += 2)
3456 /* Create demotion operation. */
3457 vop0 = (*vec_oprnds)[i];
3458 vop1 = (*vec_oprnds)[i + 1];
3459 new_stmt = gimple_build_assign (vec_dest, code, vop0, vop1);
3460 new_tmp = make_ssa_name (vec_dest, new_stmt);
3461 gimple_assign_set_lhs (new_stmt, new_tmp);
3462 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3464 if (multi_step_cvt)
3465 /* Store the resulting vector for next recursive call. */
3466 (*vec_oprnds)[i/2] = new_tmp;
3467 else
3469 /* This is the last step of the conversion sequence. Store the
3470 vectors in SLP_NODE or in vector info of the scalar statement
3471 (or in STMT_VINFO_RELATED_STMT chain). */
3472 if (slp_node)
3473 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
3474 else
3476 if (!*prev_stmt_info)
3477 STMT_VINFO_VEC_STMT (stmt_info) = new_stmt;
3478 else
3479 STMT_VINFO_RELATED_STMT (*prev_stmt_info) = new_stmt;
3481 *prev_stmt_info = vinfo_for_stmt (new_stmt);
3486 /* For multi-step demotion operations we first generate demotion operations
3487 from the source type to the intermediate types, and then combine the
3488 results (stored in VEC_OPRNDS) in demotion operation to the destination
3489 type. */
3490 if (multi_step_cvt)
3492 /* At each level of recursion we have half of the operands we had at the
3493 previous level. */
3494 vec_oprnds->truncate ((i+1)/2);
3495 vect_create_vectorized_demotion_stmts (vec_oprnds, multi_step_cvt - 1,
3496 stmt, vec_dsts, gsi, slp_node,
3497 VEC_PACK_TRUNC_EXPR,
3498 prev_stmt_info);
3501 vec_dsts.quick_push (vec_dest);
3505 /* Create vectorized promotion statements for vector operands from VEC_OPRNDS0
3506 and VEC_OPRNDS1 (for binary operations). For multi-step conversions store
3507 the resulting vectors and call the function recursively. */
3509 static void
3510 vect_create_vectorized_promotion_stmts (vec<tree> *vec_oprnds0,
3511 vec<tree> *vec_oprnds1,
3512 gimple stmt, tree vec_dest,
3513 gimple_stmt_iterator *gsi,
3514 enum tree_code code1,
3515 enum tree_code code2, tree decl1,
3516 tree decl2, int op_type)
3518 int i;
3519 tree vop0, vop1, new_tmp1, new_tmp2;
3520 gimple new_stmt1, new_stmt2;
3521 vec<tree> vec_tmp = vNULL;
3523 vec_tmp.create (vec_oprnds0->length () * 2);
3524 FOR_EACH_VEC_ELT (*vec_oprnds0, i, vop0)
3526 if (op_type == binary_op)
3527 vop1 = (*vec_oprnds1)[i];
3528 else
3529 vop1 = NULL_TREE;
3531 /* Generate the two halves of promotion operation. */
3532 new_stmt1 = vect_gen_widened_results_half (code1, decl1, vop0, vop1,
3533 op_type, vec_dest, gsi, stmt);
3534 new_stmt2 = vect_gen_widened_results_half (code2, decl2, vop0, vop1,
3535 op_type, vec_dest, gsi, stmt);
3536 if (is_gimple_call (new_stmt1))
3538 new_tmp1 = gimple_call_lhs (new_stmt1);
3539 new_tmp2 = gimple_call_lhs (new_stmt2);
3541 else
3543 new_tmp1 = gimple_assign_lhs (new_stmt1);
3544 new_tmp2 = gimple_assign_lhs (new_stmt2);
3547 /* Store the results for the next step. */
3548 vec_tmp.quick_push (new_tmp1);
3549 vec_tmp.quick_push (new_tmp2);
3552 vec_oprnds0->release ();
3553 *vec_oprnds0 = vec_tmp;
3557 /* Check if STMT performs a conversion operation, that can be vectorized.
3558 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
3559 stmt to replace it, put it in VEC_STMT, and insert it at GSI.
3560 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
3562 static bool
3563 vectorizable_conversion (gimple stmt, gimple_stmt_iterator *gsi,
3564 gimple *vec_stmt, slp_tree slp_node)
3566 tree vec_dest;
3567 tree scalar_dest;
3568 tree op0, op1 = NULL_TREE;
3569 tree vec_oprnd0 = NULL_TREE, vec_oprnd1 = NULL_TREE;
3570 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
3571 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
3572 enum tree_code code, code1 = ERROR_MARK, code2 = ERROR_MARK;
3573 enum tree_code codecvt1 = ERROR_MARK, codecvt2 = ERROR_MARK;
3574 tree decl1 = NULL_TREE, decl2 = NULL_TREE;
3575 tree new_temp;
3576 tree def;
3577 gimple def_stmt;
3578 enum vect_def_type dt[2] = {vect_unknown_def_type, vect_unknown_def_type};
3579 gimple new_stmt = NULL;
3580 stmt_vec_info prev_stmt_info;
3581 int nunits_in;
3582 int nunits_out;
3583 tree vectype_out, vectype_in;
3584 int ncopies, i, j;
3585 tree lhs_type, rhs_type;
3586 enum { NARROW, NONE, WIDEN } modifier;
3587 vec<tree> vec_oprnds0 = vNULL;
3588 vec<tree> vec_oprnds1 = vNULL;
3589 tree vop0;
3590 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
3591 int multi_step_cvt = 0;
3592 vec<tree> vec_dsts = vNULL;
3593 vec<tree> interm_types = vNULL;
3594 tree last_oprnd, intermediate_type, cvt_type = NULL_TREE;
3595 int op_type;
3596 machine_mode rhs_mode;
3597 unsigned short fltsz;
3599 /* Is STMT a vectorizable conversion? */
3601 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
3602 return false;
3604 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
3605 return false;
3607 if (!is_gimple_assign (stmt))
3608 return false;
3610 if (TREE_CODE (gimple_assign_lhs (stmt)) != SSA_NAME)
3611 return false;
3613 code = gimple_assign_rhs_code (stmt);
3614 if (!CONVERT_EXPR_CODE_P (code)
3615 && code != FIX_TRUNC_EXPR
3616 && code != FLOAT_EXPR
3617 && code != WIDEN_MULT_EXPR
3618 && code != WIDEN_LSHIFT_EXPR)
3619 return false;
3621 op_type = TREE_CODE_LENGTH (code);
3623 /* Check types of lhs and rhs. */
3624 scalar_dest = gimple_assign_lhs (stmt);
3625 lhs_type = TREE_TYPE (scalar_dest);
3626 vectype_out = STMT_VINFO_VECTYPE (stmt_info);
3628 op0 = gimple_assign_rhs1 (stmt);
3629 rhs_type = TREE_TYPE (op0);
3631 if ((code != FIX_TRUNC_EXPR && code != FLOAT_EXPR)
3632 && !((INTEGRAL_TYPE_P (lhs_type)
3633 && INTEGRAL_TYPE_P (rhs_type))
3634 || (SCALAR_FLOAT_TYPE_P (lhs_type)
3635 && SCALAR_FLOAT_TYPE_P (rhs_type))))
3636 return false;
3638 if ((INTEGRAL_TYPE_P (lhs_type)
3639 && (TYPE_PRECISION (lhs_type)
3640 != GET_MODE_PRECISION (TYPE_MODE (lhs_type))))
3641 || (INTEGRAL_TYPE_P (rhs_type)
3642 && (TYPE_PRECISION (rhs_type)
3643 != GET_MODE_PRECISION (TYPE_MODE (rhs_type)))))
3645 if (dump_enabled_p ())
3646 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
3647 "type conversion to/from bit-precision unsupported."
3648 "\n");
3649 return false;
3652 /* Check the operands of the operation. */
3653 if (!vect_is_simple_use_1 (op0, stmt, loop_vinfo, bb_vinfo,
3654 &def_stmt, &def, &dt[0], &vectype_in))
3656 if (dump_enabled_p ())
3657 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
3658 "use not simple.\n");
3659 return false;
3661 if (op_type == binary_op)
3663 bool ok;
3665 op1 = gimple_assign_rhs2 (stmt);
3666 gcc_assert (code == WIDEN_MULT_EXPR || code == WIDEN_LSHIFT_EXPR);
3667 /* For WIDEN_MULT_EXPR, if OP0 is a constant, use the type of
3668 OP1. */
3669 if (CONSTANT_CLASS_P (op0))
3670 ok = vect_is_simple_use_1 (op1, stmt, loop_vinfo, bb_vinfo,
3671 &def_stmt, &def, &dt[1], &vectype_in);
3672 else
3673 ok = vect_is_simple_use (op1, stmt, loop_vinfo, bb_vinfo, &def_stmt,
3674 &def, &dt[1]);
3676 if (!ok)
3678 if (dump_enabled_p ())
3679 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
3680 "use not simple.\n");
3681 return false;
3685 /* If op0 is an external or constant defs use a vector type of
3686 the same size as the output vector type. */
3687 if (!vectype_in)
3688 vectype_in = get_same_sized_vectype (rhs_type, vectype_out);
3689 if (vec_stmt)
3690 gcc_assert (vectype_in);
3691 if (!vectype_in)
3693 if (dump_enabled_p ())
3695 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
3696 "no vectype for scalar type ");
3697 dump_generic_expr (MSG_MISSED_OPTIMIZATION, TDF_SLIM, rhs_type);
3698 dump_printf (MSG_MISSED_OPTIMIZATION, "\n");
3701 return false;
3704 nunits_in = TYPE_VECTOR_SUBPARTS (vectype_in);
3705 nunits_out = TYPE_VECTOR_SUBPARTS (vectype_out);
3706 if (nunits_in < nunits_out)
3707 modifier = NARROW;
3708 else if (nunits_out == nunits_in)
3709 modifier = NONE;
3710 else
3711 modifier = WIDEN;
3713 /* Multiple types in SLP are handled by creating the appropriate number of
3714 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
3715 case of SLP. */
3716 if (slp_node || PURE_SLP_STMT (stmt_info))
3717 ncopies = 1;
3718 else if (modifier == NARROW)
3719 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_out;
3720 else
3721 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_in;
3723 /* Sanity check: make sure that at least one copy of the vectorized stmt
3724 needs to be generated. */
3725 gcc_assert (ncopies >= 1);
3727 /* Supportable by target? */
3728 switch (modifier)
3730 case NONE:
3731 if (code != FIX_TRUNC_EXPR && code != FLOAT_EXPR)
3732 return false;
3733 if (supportable_convert_operation (code, vectype_out, vectype_in,
3734 &decl1, &code1))
3735 break;
3736 /* FALLTHRU */
3737 unsupported:
3738 if (dump_enabled_p ())
3739 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
3740 "conversion not supported by target.\n");
3741 return false;
3743 case WIDEN:
3744 if (supportable_widening_operation (code, stmt, vectype_out, vectype_in,
3745 &code1, &code2, &multi_step_cvt,
3746 &interm_types))
3748 /* Binary widening operation can only be supported directly by the
3749 architecture. */
3750 gcc_assert (!(multi_step_cvt && op_type == binary_op));
3751 break;
3754 if (code != FLOAT_EXPR
3755 || (GET_MODE_SIZE (TYPE_MODE (lhs_type))
3756 <= GET_MODE_SIZE (TYPE_MODE (rhs_type))))
3757 goto unsupported;
3759 rhs_mode = TYPE_MODE (rhs_type);
3760 fltsz = GET_MODE_SIZE (TYPE_MODE (lhs_type));
3761 for (rhs_mode = GET_MODE_2XWIDER_MODE (TYPE_MODE (rhs_type));
3762 rhs_mode != VOIDmode && GET_MODE_SIZE (rhs_mode) <= fltsz;
3763 rhs_mode = GET_MODE_2XWIDER_MODE (rhs_mode))
3765 cvt_type
3766 = build_nonstandard_integer_type (GET_MODE_BITSIZE (rhs_mode), 0);
3767 cvt_type = get_same_sized_vectype (cvt_type, vectype_in);
3768 if (cvt_type == NULL_TREE)
3769 goto unsupported;
3771 if (GET_MODE_SIZE (rhs_mode) == fltsz)
3773 if (!supportable_convert_operation (code, vectype_out,
3774 cvt_type, &decl1, &codecvt1))
3775 goto unsupported;
3777 else if (!supportable_widening_operation (code, stmt, vectype_out,
3778 cvt_type, &codecvt1,
3779 &codecvt2, &multi_step_cvt,
3780 &interm_types))
3781 continue;
3782 else
3783 gcc_assert (multi_step_cvt == 0);
3785 if (supportable_widening_operation (NOP_EXPR, stmt, cvt_type,
3786 vectype_in, &code1, &code2,
3787 &multi_step_cvt, &interm_types))
3788 break;
3791 if (rhs_mode == VOIDmode || GET_MODE_SIZE (rhs_mode) > fltsz)
3792 goto unsupported;
3794 if (GET_MODE_SIZE (rhs_mode) == fltsz)
3795 codecvt2 = ERROR_MARK;
3796 else
3798 multi_step_cvt++;
3799 interm_types.safe_push (cvt_type);
3800 cvt_type = NULL_TREE;
3802 break;
3804 case NARROW:
3805 gcc_assert (op_type == unary_op);
3806 if (supportable_narrowing_operation (code, vectype_out, vectype_in,
3807 &code1, &multi_step_cvt,
3808 &interm_types))
3809 break;
3811 if (code != FIX_TRUNC_EXPR
3812 || (GET_MODE_SIZE (TYPE_MODE (lhs_type))
3813 >= GET_MODE_SIZE (TYPE_MODE (rhs_type))))
3814 goto unsupported;
3816 rhs_mode = TYPE_MODE (rhs_type);
3817 cvt_type
3818 = build_nonstandard_integer_type (GET_MODE_BITSIZE (rhs_mode), 0);
3819 cvt_type = get_same_sized_vectype (cvt_type, vectype_in);
3820 if (cvt_type == NULL_TREE)
3821 goto unsupported;
3822 if (!supportable_convert_operation (code, cvt_type, vectype_in,
3823 &decl1, &codecvt1))
3824 goto unsupported;
3825 if (supportable_narrowing_operation (NOP_EXPR, vectype_out, cvt_type,
3826 &code1, &multi_step_cvt,
3827 &interm_types))
3828 break;
3829 goto unsupported;
3831 default:
3832 gcc_unreachable ();
3835 if (!vec_stmt) /* transformation not required. */
3837 if (dump_enabled_p ())
3838 dump_printf_loc (MSG_NOTE, vect_location,
3839 "=== vectorizable_conversion ===\n");
3840 if (code == FIX_TRUNC_EXPR || code == FLOAT_EXPR)
3842 STMT_VINFO_TYPE (stmt_info) = type_conversion_vec_info_type;
3843 vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL);
3845 else if (modifier == NARROW)
3847 STMT_VINFO_TYPE (stmt_info) = type_demotion_vec_info_type;
3848 vect_model_promotion_demotion_cost (stmt_info, dt, multi_step_cvt);
3850 else
3852 STMT_VINFO_TYPE (stmt_info) = type_promotion_vec_info_type;
3853 vect_model_promotion_demotion_cost (stmt_info, dt, multi_step_cvt);
3855 interm_types.release ();
3856 return true;
3859 /** Transform. **/
3860 if (dump_enabled_p ())
3861 dump_printf_loc (MSG_NOTE, vect_location,
3862 "transform conversion. ncopies = %d.\n", ncopies);
3864 if (op_type == binary_op)
3866 if (CONSTANT_CLASS_P (op0))
3867 op0 = fold_convert (TREE_TYPE (op1), op0);
3868 else if (CONSTANT_CLASS_P (op1))
3869 op1 = fold_convert (TREE_TYPE (op0), op1);
3872 /* In case of multi-step conversion, we first generate conversion operations
3873 to the intermediate types, and then from that types to the final one.
3874 We create vector destinations for the intermediate type (TYPES) received
3875 from supportable_*_operation, and store them in the correct order
3876 for future use in vect_create_vectorized_*_stmts (). */
3877 vec_dsts.create (multi_step_cvt + 1);
3878 vec_dest = vect_create_destination_var (scalar_dest,
3879 (cvt_type && modifier == WIDEN)
3880 ? cvt_type : vectype_out);
3881 vec_dsts.quick_push (vec_dest);
3883 if (multi_step_cvt)
3885 for (i = interm_types.length () - 1;
3886 interm_types.iterate (i, &intermediate_type); i--)
3888 vec_dest = vect_create_destination_var (scalar_dest,
3889 intermediate_type);
3890 vec_dsts.quick_push (vec_dest);
3894 if (cvt_type)
3895 vec_dest = vect_create_destination_var (scalar_dest,
3896 modifier == WIDEN
3897 ? vectype_out : cvt_type);
3899 if (!slp_node)
3901 if (modifier == WIDEN)
3903 vec_oprnds0.create (multi_step_cvt ? vect_pow2 (multi_step_cvt) : 1);
3904 if (op_type == binary_op)
3905 vec_oprnds1.create (1);
3907 else if (modifier == NARROW)
3908 vec_oprnds0.create (
3909 2 * (multi_step_cvt ? vect_pow2 (multi_step_cvt) : 1));
3911 else if (code == WIDEN_LSHIFT_EXPR)
3912 vec_oprnds1.create (slp_node->vec_stmts_size);
3914 last_oprnd = op0;
3915 prev_stmt_info = NULL;
3916 switch (modifier)
3918 case NONE:
3919 for (j = 0; j < ncopies; j++)
3921 if (j == 0)
3922 vect_get_vec_defs (op0, NULL, stmt, &vec_oprnds0, NULL, slp_node,
3923 -1);
3924 else
3925 vect_get_vec_defs_for_stmt_copy (dt, &vec_oprnds0, NULL);
3927 FOR_EACH_VEC_ELT (vec_oprnds0, i, vop0)
3929 /* Arguments are ready, create the new vector stmt. */
3930 if (code1 == CALL_EXPR)
3932 new_stmt = gimple_build_call (decl1, 1, vop0);
3933 new_temp = make_ssa_name (vec_dest, new_stmt);
3934 gimple_call_set_lhs (new_stmt, new_temp);
3936 else
3938 gcc_assert (TREE_CODE_LENGTH (code1) == unary_op);
3939 new_stmt = gimple_build_assign (vec_dest, code1, vop0);
3940 new_temp = make_ssa_name (vec_dest, new_stmt);
3941 gimple_assign_set_lhs (new_stmt, new_temp);
3944 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3945 if (slp_node)
3946 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
3947 else
3949 if (!prev_stmt_info)
3950 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
3951 else
3952 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
3953 prev_stmt_info = vinfo_for_stmt (new_stmt);
3957 break;
3959 case WIDEN:
3960 /* In case the vectorization factor (VF) is bigger than the number
3961 of elements that we can fit in a vectype (nunits), we have to
3962 generate more than one vector stmt - i.e - we need to "unroll"
3963 the vector stmt by a factor VF/nunits. */
3964 for (j = 0; j < ncopies; j++)
3966 /* Handle uses. */
3967 if (j == 0)
3969 if (slp_node)
3971 if (code == WIDEN_LSHIFT_EXPR)
3973 unsigned int k;
3975 vec_oprnd1 = op1;
3976 /* Store vec_oprnd1 for every vector stmt to be created
3977 for SLP_NODE. We check during the analysis that all
3978 the shift arguments are the same. */
3979 for (k = 0; k < slp_node->vec_stmts_size - 1; k++)
3980 vec_oprnds1.quick_push (vec_oprnd1);
3982 vect_get_vec_defs (op0, NULL_TREE, stmt, &vec_oprnds0, NULL,
3983 slp_node, -1);
3985 else
3986 vect_get_vec_defs (op0, op1, stmt, &vec_oprnds0,
3987 &vec_oprnds1, slp_node, -1);
3989 else
3991 vec_oprnd0 = vect_get_vec_def_for_operand (op0, stmt, NULL);
3992 vec_oprnds0.quick_push (vec_oprnd0);
3993 if (op_type == binary_op)
3995 if (code == WIDEN_LSHIFT_EXPR)
3996 vec_oprnd1 = op1;
3997 else
3998 vec_oprnd1 = vect_get_vec_def_for_operand (op1, stmt,
3999 NULL);
4000 vec_oprnds1.quick_push (vec_oprnd1);
4004 else
4006 vec_oprnd0 = vect_get_vec_def_for_stmt_copy (dt[0], vec_oprnd0);
4007 vec_oprnds0.truncate (0);
4008 vec_oprnds0.quick_push (vec_oprnd0);
4009 if (op_type == binary_op)
4011 if (code == WIDEN_LSHIFT_EXPR)
4012 vec_oprnd1 = op1;
4013 else
4014 vec_oprnd1 = vect_get_vec_def_for_stmt_copy (dt[1],
4015 vec_oprnd1);
4016 vec_oprnds1.truncate (0);
4017 vec_oprnds1.quick_push (vec_oprnd1);
4021 /* Arguments are ready. Create the new vector stmts. */
4022 for (i = multi_step_cvt; i >= 0; i--)
4024 tree this_dest = vec_dsts[i];
4025 enum tree_code c1 = code1, c2 = code2;
4026 if (i == 0 && codecvt2 != ERROR_MARK)
4028 c1 = codecvt1;
4029 c2 = codecvt2;
4031 vect_create_vectorized_promotion_stmts (&vec_oprnds0,
4032 &vec_oprnds1,
4033 stmt, this_dest, gsi,
4034 c1, c2, decl1, decl2,
4035 op_type);
4038 FOR_EACH_VEC_ELT (vec_oprnds0, i, vop0)
4040 if (cvt_type)
4042 if (codecvt1 == CALL_EXPR)
4044 new_stmt = gimple_build_call (decl1, 1, vop0);
4045 new_temp = make_ssa_name (vec_dest, new_stmt);
4046 gimple_call_set_lhs (new_stmt, new_temp);
4048 else
4050 gcc_assert (TREE_CODE_LENGTH (codecvt1) == unary_op);
4051 new_temp = make_ssa_name (vec_dest);
4052 new_stmt = gimple_build_assign (new_temp, codecvt1,
4053 vop0);
4056 vect_finish_stmt_generation (stmt, new_stmt, gsi);
4058 else
4059 new_stmt = SSA_NAME_DEF_STMT (vop0);
4061 if (slp_node)
4062 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
4063 else
4065 if (!prev_stmt_info)
4066 STMT_VINFO_VEC_STMT (stmt_info) = new_stmt;
4067 else
4068 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
4069 prev_stmt_info = vinfo_for_stmt (new_stmt);
4074 *vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
4075 break;
4077 case NARROW:
4078 /* In case the vectorization factor (VF) is bigger than the number
4079 of elements that we can fit in a vectype (nunits), we have to
4080 generate more than one vector stmt - i.e - we need to "unroll"
4081 the vector stmt by a factor VF/nunits. */
4082 for (j = 0; j < ncopies; j++)
4084 /* Handle uses. */
4085 if (slp_node)
4086 vect_get_vec_defs (op0, NULL_TREE, stmt, &vec_oprnds0, NULL,
4087 slp_node, -1);
4088 else
4090 vec_oprnds0.truncate (0);
4091 vect_get_loop_based_defs (&last_oprnd, stmt, dt[0], &vec_oprnds0,
4092 vect_pow2 (multi_step_cvt) - 1);
4095 /* Arguments are ready. Create the new vector stmts. */
4096 if (cvt_type)
4097 FOR_EACH_VEC_ELT (vec_oprnds0, i, vop0)
4099 if (codecvt1 == CALL_EXPR)
4101 new_stmt = gimple_build_call (decl1, 1, vop0);
4102 new_temp = make_ssa_name (vec_dest, new_stmt);
4103 gimple_call_set_lhs (new_stmt, new_temp);
4105 else
4107 gcc_assert (TREE_CODE_LENGTH (codecvt1) == unary_op);
4108 new_temp = make_ssa_name (vec_dest);
4109 new_stmt = gimple_build_assign (new_temp, codecvt1,
4110 vop0);
4113 vect_finish_stmt_generation (stmt, new_stmt, gsi);
4114 vec_oprnds0[i] = new_temp;
4117 vect_create_vectorized_demotion_stmts (&vec_oprnds0, multi_step_cvt,
4118 stmt, vec_dsts, gsi,
4119 slp_node, code1,
4120 &prev_stmt_info);
4123 *vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
4124 break;
4127 vec_oprnds0.release ();
4128 vec_oprnds1.release ();
4129 vec_dsts.release ();
4130 interm_types.release ();
4132 return true;
4136 /* Function vectorizable_assignment.
4138 Check if STMT performs an assignment (copy) that can be vectorized.
4139 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4140 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4141 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
4143 static bool
4144 vectorizable_assignment (gimple stmt, gimple_stmt_iterator *gsi,
4145 gimple *vec_stmt, slp_tree slp_node)
4147 tree vec_dest;
4148 tree scalar_dest;
4149 tree op;
4150 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
4151 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
4152 tree new_temp;
4153 tree def;
4154 gimple def_stmt;
4155 enum vect_def_type dt[2] = {vect_unknown_def_type, vect_unknown_def_type};
4156 int ncopies;
4157 int i, j;
4158 vec<tree> vec_oprnds = vNULL;
4159 tree vop;
4160 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
4161 gimple new_stmt = NULL;
4162 stmt_vec_info prev_stmt_info = NULL;
4163 enum tree_code code;
4164 tree vectype_in;
4166 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
4167 return false;
4169 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
4170 return false;
4172 /* Is vectorizable assignment? */
4173 if (!is_gimple_assign (stmt))
4174 return false;
4176 scalar_dest = gimple_assign_lhs (stmt);
4177 if (TREE_CODE (scalar_dest) != SSA_NAME)
4178 return false;
4180 code = gimple_assign_rhs_code (stmt);
4181 if (gimple_assign_single_p (stmt)
4182 || code == PAREN_EXPR
4183 || CONVERT_EXPR_CODE_P (code))
4184 op = gimple_assign_rhs1 (stmt);
4185 else
4186 return false;
4188 if (code == VIEW_CONVERT_EXPR)
4189 op = TREE_OPERAND (op, 0);
4191 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
4192 unsigned int nunits = TYPE_VECTOR_SUBPARTS (vectype);
4194 /* Multiple types in SLP are handled by creating the appropriate number of
4195 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
4196 case of SLP. */
4197 if (slp_node || PURE_SLP_STMT (stmt_info))
4198 ncopies = 1;
4199 else
4200 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
4202 gcc_assert (ncopies >= 1);
4204 if (!vect_is_simple_use_1 (op, stmt, loop_vinfo, bb_vinfo,
4205 &def_stmt, &def, &dt[0], &vectype_in))
4207 if (dump_enabled_p ())
4208 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4209 "use not simple.\n");
4210 return false;
4213 /* We can handle NOP_EXPR conversions that do not change the number
4214 of elements or the vector size. */
4215 if ((CONVERT_EXPR_CODE_P (code)
4216 || code == VIEW_CONVERT_EXPR)
4217 && (!vectype_in
4218 || TYPE_VECTOR_SUBPARTS (vectype_in) != nunits
4219 || (GET_MODE_SIZE (TYPE_MODE (vectype))
4220 != GET_MODE_SIZE (TYPE_MODE (vectype_in)))))
4221 return false;
4223 /* We do not handle bit-precision changes. */
4224 if ((CONVERT_EXPR_CODE_P (code)
4225 || code == VIEW_CONVERT_EXPR)
4226 && INTEGRAL_TYPE_P (TREE_TYPE (scalar_dest))
4227 && ((TYPE_PRECISION (TREE_TYPE (scalar_dest))
4228 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (scalar_dest))))
4229 || ((TYPE_PRECISION (TREE_TYPE (op))
4230 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (op))))))
4231 /* But a conversion that does not change the bit-pattern is ok. */
4232 && !((TYPE_PRECISION (TREE_TYPE (scalar_dest))
4233 > TYPE_PRECISION (TREE_TYPE (op)))
4234 && TYPE_UNSIGNED (TREE_TYPE (op))))
4236 if (dump_enabled_p ())
4237 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4238 "type conversion to/from bit-precision "
4239 "unsupported.\n");
4240 return false;
4243 if (!vec_stmt) /* transformation not required. */
4245 STMT_VINFO_TYPE (stmt_info) = assignment_vec_info_type;
4246 if (dump_enabled_p ())
4247 dump_printf_loc (MSG_NOTE, vect_location,
4248 "=== vectorizable_assignment ===\n");
4249 vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL);
4250 return true;
4253 /** Transform. **/
4254 if (dump_enabled_p ())
4255 dump_printf_loc (MSG_NOTE, vect_location, "transform assignment.\n");
4257 /* Handle def. */
4258 vec_dest = vect_create_destination_var (scalar_dest, vectype);
4260 /* Handle use. */
4261 for (j = 0; j < ncopies; j++)
4263 /* Handle uses. */
4264 if (j == 0)
4265 vect_get_vec_defs (op, NULL, stmt, &vec_oprnds, NULL, slp_node, -1);
4266 else
4267 vect_get_vec_defs_for_stmt_copy (dt, &vec_oprnds, NULL);
4269 /* Arguments are ready. create the new vector stmt. */
4270 FOR_EACH_VEC_ELT (vec_oprnds, i, vop)
4272 if (CONVERT_EXPR_CODE_P (code)
4273 || code == VIEW_CONVERT_EXPR)
4274 vop = build1 (VIEW_CONVERT_EXPR, vectype, vop);
4275 new_stmt = gimple_build_assign (vec_dest, vop);
4276 new_temp = make_ssa_name (vec_dest, new_stmt);
4277 gimple_assign_set_lhs (new_stmt, new_temp);
4278 vect_finish_stmt_generation (stmt, new_stmt, gsi);
4279 if (slp_node)
4280 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
4283 if (slp_node)
4284 continue;
4286 if (j == 0)
4287 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
4288 else
4289 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
4291 prev_stmt_info = vinfo_for_stmt (new_stmt);
4294 vec_oprnds.release ();
4295 return true;
4299 /* Return TRUE if CODE (a shift operation) is supported for SCALAR_TYPE
4300 either as shift by a scalar or by a vector. */
4302 bool
4303 vect_supportable_shift (enum tree_code code, tree scalar_type)
4306 machine_mode vec_mode;
4307 optab optab;
4308 int icode;
4309 tree vectype;
4311 vectype = get_vectype_for_scalar_type (scalar_type);
4312 if (!vectype)
4313 return false;
4315 optab = optab_for_tree_code (code, vectype, optab_scalar);
4316 if (!optab
4317 || optab_handler (optab, TYPE_MODE (vectype)) == CODE_FOR_nothing)
4319 optab = optab_for_tree_code (code, vectype, optab_vector);
4320 if (!optab
4321 || (optab_handler (optab, TYPE_MODE (vectype))
4322 == CODE_FOR_nothing))
4323 return false;
4326 vec_mode = TYPE_MODE (vectype);
4327 icode = (int) optab_handler (optab, vec_mode);
4328 if (icode == CODE_FOR_nothing)
4329 return false;
4331 return true;
4335 /* Function vectorizable_shift.
4337 Check if STMT performs a shift operation that can be vectorized.
4338 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4339 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4340 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
4342 static bool
4343 vectorizable_shift (gimple stmt, gimple_stmt_iterator *gsi,
4344 gimple *vec_stmt, slp_tree slp_node)
4346 tree vec_dest;
4347 tree scalar_dest;
4348 tree op0, op1 = NULL;
4349 tree vec_oprnd1 = NULL_TREE;
4350 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
4351 tree vectype;
4352 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
4353 enum tree_code code;
4354 machine_mode vec_mode;
4355 tree new_temp;
4356 optab optab;
4357 int icode;
4358 machine_mode optab_op2_mode;
4359 tree def;
4360 gimple def_stmt;
4361 enum vect_def_type dt[2] = {vect_unknown_def_type, vect_unknown_def_type};
4362 gimple new_stmt = NULL;
4363 stmt_vec_info prev_stmt_info;
4364 int nunits_in;
4365 int nunits_out;
4366 tree vectype_out;
4367 tree op1_vectype;
4368 int ncopies;
4369 int j, i;
4370 vec<tree> vec_oprnds0 = vNULL;
4371 vec<tree> vec_oprnds1 = vNULL;
4372 tree vop0, vop1;
4373 unsigned int k;
4374 bool scalar_shift_arg = true;
4375 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
4376 int vf;
4378 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
4379 return false;
4381 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
4382 return false;
4384 /* Is STMT a vectorizable binary/unary operation? */
4385 if (!is_gimple_assign (stmt))
4386 return false;
4388 if (TREE_CODE (gimple_assign_lhs (stmt)) != SSA_NAME)
4389 return false;
4391 code = gimple_assign_rhs_code (stmt);
4393 if (!(code == LSHIFT_EXPR || code == RSHIFT_EXPR || code == LROTATE_EXPR
4394 || code == RROTATE_EXPR))
4395 return false;
4397 scalar_dest = gimple_assign_lhs (stmt);
4398 vectype_out = STMT_VINFO_VECTYPE (stmt_info);
4399 if (TYPE_PRECISION (TREE_TYPE (scalar_dest))
4400 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (scalar_dest))))
4402 if (dump_enabled_p ())
4403 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4404 "bit-precision shifts not supported.\n");
4405 return false;
4408 op0 = gimple_assign_rhs1 (stmt);
4409 if (!vect_is_simple_use_1 (op0, stmt, loop_vinfo, bb_vinfo,
4410 &def_stmt, &def, &dt[0], &vectype))
4412 if (dump_enabled_p ())
4413 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4414 "use not simple.\n");
4415 return false;
4417 /* If op0 is an external or constant def use a vector type with
4418 the same size as the output vector type. */
4419 if (!vectype)
4420 vectype = get_same_sized_vectype (TREE_TYPE (op0), vectype_out);
4421 if (vec_stmt)
4422 gcc_assert (vectype);
4423 if (!vectype)
4425 if (dump_enabled_p ())
4426 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4427 "no vectype for scalar type\n");
4428 return false;
4431 nunits_out = TYPE_VECTOR_SUBPARTS (vectype_out);
4432 nunits_in = TYPE_VECTOR_SUBPARTS (vectype);
4433 if (nunits_out != nunits_in)
4434 return false;
4436 op1 = gimple_assign_rhs2 (stmt);
4437 if (!vect_is_simple_use_1 (op1, stmt, loop_vinfo, bb_vinfo, &def_stmt,
4438 &def, &dt[1], &op1_vectype))
4440 if (dump_enabled_p ())
4441 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4442 "use not simple.\n");
4443 return false;
4446 if (loop_vinfo)
4447 vf = LOOP_VINFO_VECT_FACTOR (loop_vinfo);
4448 else
4449 vf = 1;
4451 /* Multiple types in SLP are handled by creating the appropriate number of
4452 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
4453 case of SLP. */
4454 if (slp_node || PURE_SLP_STMT (stmt_info))
4455 ncopies = 1;
4456 else
4457 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_in;
4459 gcc_assert (ncopies >= 1);
4461 /* Determine whether the shift amount is a vector, or scalar. If the
4462 shift/rotate amount is a vector, use the vector/vector shift optabs. */
4464 if (dt[1] == vect_internal_def && !slp_node)
4465 scalar_shift_arg = false;
4466 else if (dt[1] == vect_constant_def
4467 || dt[1] == vect_external_def
4468 || dt[1] == vect_internal_def)
4470 /* In SLP, need to check whether the shift count is the same,
4471 in loops if it is a constant or invariant, it is always
4472 a scalar shift. */
4473 if (slp_node)
4475 vec<gimple> stmts = SLP_TREE_SCALAR_STMTS (slp_node);
4476 gimple slpstmt;
4478 FOR_EACH_VEC_ELT (stmts, k, slpstmt)
4479 if (!operand_equal_p (gimple_assign_rhs2 (slpstmt), op1, 0))
4480 scalar_shift_arg = false;
4483 else
4485 if (dump_enabled_p ())
4486 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4487 "operand mode requires invariant argument.\n");
4488 return false;
4491 /* Vector shifted by vector. */
4492 if (!scalar_shift_arg)
4494 optab = optab_for_tree_code (code, vectype, optab_vector);
4495 if (dump_enabled_p ())
4496 dump_printf_loc (MSG_NOTE, vect_location,
4497 "vector/vector shift/rotate found.\n");
4499 if (!op1_vectype)
4500 op1_vectype = get_same_sized_vectype (TREE_TYPE (op1), vectype_out);
4501 if (op1_vectype == NULL_TREE
4502 || TYPE_MODE (op1_vectype) != TYPE_MODE (vectype))
4504 if (dump_enabled_p ())
4505 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4506 "unusable type for last operand in"
4507 " vector/vector shift/rotate.\n");
4508 return false;
4511 /* See if the machine has a vector shifted by scalar insn and if not
4512 then see if it has a vector shifted by vector insn. */
4513 else
4515 optab = optab_for_tree_code (code, vectype, optab_scalar);
4516 if (optab
4517 && optab_handler (optab, TYPE_MODE (vectype)) != CODE_FOR_nothing)
4519 if (dump_enabled_p ())
4520 dump_printf_loc (MSG_NOTE, vect_location,
4521 "vector/scalar shift/rotate found.\n");
4523 else
4525 optab = optab_for_tree_code (code, vectype, optab_vector);
4526 if (optab
4527 && (optab_handler (optab, TYPE_MODE (vectype))
4528 != CODE_FOR_nothing))
4530 scalar_shift_arg = false;
4532 if (dump_enabled_p ())
4533 dump_printf_loc (MSG_NOTE, vect_location,
4534 "vector/vector shift/rotate found.\n");
4536 /* Unlike the other binary operators, shifts/rotates have
4537 the rhs being int, instead of the same type as the lhs,
4538 so make sure the scalar is the right type if we are
4539 dealing with vectors of long long/long/short/char. */
4540 if (dt[1] == vect_constant_def)
4541 op1 = fold_convert (TREE_TYPE (vectype), op1);
4542 else if (!useless_type_conversion_p (TREE_TYPE (vectype),
4543 TREE_TYPE (op1)))
4545 if (slp_node
4546 && TYPE_MODE (TREE_TYPE (vectype))
4547 != TYPE_MODE (TREE_TYPE (op1)))
4549 if (dump_enabled_p ())
4550 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4551 "unusable type for last operand in"
4552 " vector/vector shift/rotate.\n");
4553 return false;
4555 if (vec_stmt && !slp_node)
4557 op1 = fold_convert (TREE_TYPE (vectype), op1);
4558 op1 = vect_init_vector (stmt, op1,
4559 TREE_TYPE (vectype), NULL);
4566 /* Supportable by target? */
4567 if (!optab)
4569 if (dump_enabled_p ())
4570 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4571 "no optab.\n");
4572 return false;
4574 vec_mode = TYPE_MODE (vectype);
4575 icode = (int) optab_handler (optab, vec_mode);
4576 if (icode == CODE_FOR_nothing)
4578 if (dump_enabled_p ())
4579 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4580 "op not supported by target.\n");
4581 /* Check only during analysis. */
4582 if (GET_MODE_SIZE (vec_mode) != UNITS_PER_WORD
4583 || (vf < vect_min_worthwhile_factor (code)
4584 && !vec_stmt))
4585 return false;
4586 if (dump_enabled_p ())
4587 dump_printf_loc (MSG_NOTE, vect_location,
4588 "proceeding using word mode.\n");
4591 /* Worthwhile without SIMD support? Check only during analysis. */
4592 if (!VECTOR_MODE_P (TYPE_MODE (vectype))
4593 && vf < vect_min_worthwhile_factor (code)
4594 && !vec_stmt)
4596 if (dump_enabled_p ())
4597 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4598 "not worthwhile without SIMD support.\n");
4599 return false;
4602 if (!vec_stmt) /* transformation not required. */
4604 STMT_VINFO_TYPE (stmt_info) = shift_vec_info_type;
4605 if (dump_enabled_p ())
4606 dump_printf_loc (MSG_NOTE, vect_location,
4607 "=== vectorizable_shift ===\n");
4608 vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL);
4609 return true;
4612 /** Transform. **/
4614 if (dump_enabled_p ())
4615 dump_printf_loc (MSG_NOTE, vect_location,
4616 "transform binary/unary operation.\n");
4618 /* Handle def. */
4619 vec_dest = vect_create_destination_var (scalar_dest, vectype);
4621 prev_stmt_info = NULL;
4622 for (j = 0; j < ncopies; j++)
4624 /* Handle uses. */
4625 if (j == 0)
4627 if (scalar_shift_arg)
4629 /* Vector shl and shr insn patterns can be defined with scalar
4630 operand 2 (shift operand). In this case, use constant or loop
4631 invariant op1 directly, without extending it to vector mode
4632 first. */
4633 optab_op2_mode = insn_data[icode].operand[2].mode;
4634 if (!VECTOR_MODE_P (optab_op2_mode))
4636 if (dump_enabled_p ())
4637 dump_printf_loc (MSG_NOTE, vect_location,
4638 "operand 1 using scalar mode.\n");
4639 vec_oprnd1 = op1;
4640 vec_oprnds1.create (slp_node ? slp_node->vec_stmts_size : 1);
4641 vec_oprnds1.quick_push (vec_oprnd1);
4642 if (slp_node)
4644 /* Store vec_oprnd1 for every vector stmt to be created
4645 for SLP_NODE. We check during the analysis that all
4646 the shift arguments are the same.
4647 TODO: Allow different constants for different vector
4648 stmts generated for an SLP instance. */
4649 for (k = 0; k < slp_node->vec_stmts_size - 1; k++)
4650 vec_oprnds1.quick_push (vec_oprnd1);
4655 /* vec_oprnd1 is available if operand 1 should be of a scalar-type
4656 (a special case for certain kind of vector shifts); otherwise,
4657 operand 1 should be of a vector type (the usual case). */
4658 if (vec_oprnd1)
4659 vect_get_vec_defs (op0, NULL_TREE, stmt, &vec_oprnds0, NULL,
4660 slp_node, -1);
4661 else
4662 vect_get_vec_defs (op0, op1, stmt, &vec_oprnds0, &vec_oprnds1,
4663 slp_node, -1);
4665 else
4666 vect_get_vec_defs_for_stmt_copy (dt, &vec_oprnds0, &vec_oprnds1);
4668 /* Arguments are ready. Create the new vector stmt. */
4669 FOR_EACH_VEC_ELT (vec_oprnds0, i, vop0)
4671 vop1 = vec_oprnds1[i];
4672 new_stmt = gimple_build_assign (vec_dest, code, vop0, vop1);
4673 new_temp = make_ssa_name (vec_dest, new_stmt);
4674 gimple_assign_set_lhs (new_stmt, new_temp);
4675 vect_finish_stmt_generation (stmt, new_stmt, gsi);
4676 if (slp_node)
4677 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
4680 if (slp_node)
4681 continue;
4683 if (j == 0)
4684 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
4685 else
4686 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
4687 prev_stmt_info = vinfo_for_stmt (new_stmt);
4690 vec_oprnds0.release ();
4691 vec_oprnds1.release ();
4693 return true;
4697 /* Function vectorizable_operation.
4699 Check if STMT performs a binary, unary or ternary operation that can
4700 be vectorized.
4701 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4702 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4703 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
4705 static bool
4706 vectorizable_operation (gimple stmt, gimple_stmt_iterator *gsi,
4707 gimple *vec_stmt, slp_tree slp_node)
4709 tree vec_dest;
4710 tree scalar_dest;
4711 tree op0, op1 = NULL_TREE, op2 = NULL_TREE;
4712 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
4713 tree vectype;
4714 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
4715 enum tree_code code;
4716 machine_mode vec_mode;
4717 tree new_temp;
4718 int op_type;
4719 optab optab;
4720 int icode;
4721 tree def;
4722 gimple def_stmt;
4723 enum vect_def_type dt[3]
4724 = {vect_unknown_def_type, vect_unknown_def_type, vect_unknown_def_type};
4725 gimple new_stmt = NULL;
4726 stmt_vec_info prev_stmt_info;
4727 int nunits_in;
4728 int nunits_out;
4729 tree vectype_out;
4730 int ncopies;
4731 int j, i;
4732 vec<tree> vec_oprnds0 = vNULL;
4733 vec<tree> vec_oprnds1 = vNULL;
4734 vec<tree> vec_oprnds2 = vNULL;
4735 tree vop0, vop1, vop2;
4736 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
4737 int vf;
4739 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
4740 return false;
4742 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
4743 return false;
4745 /* Is STMT a vectorizable binary/unary operation? */
4746 if (!is_gimple_assign (stmt))
4747 return false;
4749 if (TREE_CODE (gimple_assign_lhs (stmt)) != SSA_NAME)
4750 return false;
4752 code = gimple_assign_rhs_code (stmt);
4754 /* For pointer addition, we should use the normal plus for
4755 the vector addition. */
4756 if (code == POINTER_PLUS_EXPR)
4757 code = PLUS_EXPR;
4759 /* Support only unary or binary operations. */
4760 op_type = TREE_CODE_LENGTH (code);
4761 if (op_type != unary_op && op_type != binary_op && op_type != ternary_op)
4763 if (dump_enabled_p ())
4764 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4765 "num. args = %d (not unary/binary/ternary op).\n",
4766 op_type);
4767 return false;
4770 scalar_dest = gimple_assign_lhs (stmt);
4771 vectype_out = STMT_VINFO_VECTYPE (stmt_info);
4773 /* Most operations cannot handle bit-precision types without extra
4774 truncations. */
4775 if ((TYPE_PRECISION (TREE_TYPE (scalar_dest))
4776 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (scalar_dest))))
4777 /* Exception are bitwise binary operations. */
4778 && code != BIT_IOR_EXPR
4779 && code != BIT_XOR_EXPR
4780 && code != BIT_AND_EXPR)
4782 if (dump_enabled_p ())
4783 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4784 "bit-precision arithmetic not supported.\n");
4785 return false;
4788 op0 = gimple_assign_rhs1 (stmt);
4789 if (!vect_is_simple_use_1 (op0, stmt, loop_vinfo, bb_vinfo,
4790 &def_stmt, &def, &dt[0], &vectype))
4792 if (dump_enabled_p ())
4793 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4794 "use not simple.\n");
4795 return false;
4797 /* If op0 is an external or constant def use a vector type with
4798 the same size as the output vector type. */
4799 if (!vectype)
4800 vectype = get_same_sized_vectype (TREE_TYPE (op0), vectype_out);
4801 if (vec_stmt)
4802 gcc_assert (vectype);
4803 if (!vectype)
4805 if (dump_enabled_p ())
4807 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4808 "no vectype for scalar type ");
4809 dump_generic_expr (MSG_MISSED_OPTIMIZATION, TDF_SLIM,
4810 TREE_TYPE (op0));
4811 dump_printf (MSG_MISSED_OPTIMIZATION, "\n");
4814 return false;
4817 nunits_out = TYPE_VECTOR_SUBPARTS (vectype_out);
4818 nunits_in = TYPE_VECTOR_SUBPARTS (vectype);
4819 if (nunits_out != nunits_in)
4820 return false;
4822 if (op_type == binary_op || op_type == ternary_op)
4824 op1 = gimple_assign_rhs2 (stmt);
4825 if (!vect_is_simple_use (op1, stmt, loop_vinfo, bb_vinfo, &def_stmt,
4826 &def, &dt[1]))
4828 if (dump_enabled_p ())
4829 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4830 "use not simple.\n");
4831 return false;
4834 if (op_type == ternary_op)
4836 op2 = gimple_assign_rhs3 (stmt);
4837 if (!vect_is_simple_use (op2, stmt, loop_vinfo, bb_vinfo, &def_stmt,
4838 &def, &dt[2]))
4840 if (dump_enabled_p ())
4841 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4842 "use not simple.\n");
4843 return false;
4847 if (loop_vinfo)
4848 vf = LOOP_VINFO_VECT_FACTOR (loop_vinfo);
4849 else
4850 vf = 1;
4852 /* Multiple types in SLP are handled by creating the appropriate number of
4853 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
4854 case of SLP. */
4855 if (slp_node || PURE_SLP_STMT (stmt_info))
4856 ncopies = 1;
4857 else
4858 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_in;
4860 gcc_assert (ncopies >= 1);
4862 /* Shifts are handled in vectorizable_shift (). */
4863 if (code == LSHIFT_EXPR || code == RSHIFT_EXPR || code == LROTATE_EXPR
4864 || code == RROTATE_EXPR)
4865 return false;
4867 /* Supportable by target? */
4869 vec_mode = TYPE_MODE (vectype);
4870 if (code == MULT_HIGHPART_EXPR)
4872 if (can_mult_highpart_p (vec_mode, TYPE_UNSIGNED (vectype)))
4873 icode = LAST_INSN_CODE;
4874 else
4875 icode = CODE_FOR_nothing;
4877 else
4879 optab = optab_for_tree_code (code, vectype, optab_default);
4880 if (!optab)
4882 if (dump_enabled_p ())
4883 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4884 "no optab.\n");
4885 return false;
4887 icode = (int) optab_handler (optab, vec_mode);
4890 if (icode == CODE_FOR_nothing)
4892 if (dump_enabled_p ())
4893 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4894 "op not supported by target.\n");
4895 /* Check only during analysis. */
4896 if (GET_MODE_SIZE (vec_mode) != UNITS_PER_WORD
4897 || (!vec_stmt && vf < vect_min_worthwhile_factor (code)))
4898 return false;
4899 if (dump_enabled_p ())
4900 dump_printf_loc (MSG_NOTE, vect_location,
4901 "proceeding using word mode.\n");
4904 /* Worthwhile without SIMD support? Check only during analysis. */
4905 if (!VECTOR_MODE_P (vec_mode)
4906 && !vec_stmt
4907 && vf < vect_min_worthwhile_factor (code))
4909 if (dump_enabled_p ())
4910 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4911 "not worthwhile without SIMD support.\n");
4912 return false;
4915 if (!vec_stmt) /* transformation not required. */
4917 STMT_VINFO_TYPE (stmt_info) = op_vec_info_type;
4918 if (dump_enabled_p ())
4919 dump_printf_loc (MSG_NOTE, vect_location,
4920 "=== vectorizable_operation ===\n");
4921 vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL);
4922 return true;
4925 /** Transform. **/
4927 if (dump_enabled_p ())
4928 dump_printf_loc (MSG_NOTE, vect_location,
4929 "transform binary/unary operation.\n");
4931 /* Handle def. */
4932 vec_dest = vect_create_destination_var (scalar_dest, vectype);
4934 /* In case the vectorization factor (VF) is bigger than the number
4935 of elements that we can fit in a vectype (nunits), we have to generate
4936 more than one vector stmt - i.e - we need to "unroll" the
4937 vector stmt by a factor VF/nunits. In doing so, we record a pointer
4938 from one copy of the vector stmt to the next, in the field
4939 STMT_VINFO_RELATED_STMT. This is necessary in order to allow following
4940 stages to find the correct vector defs to be used when vectorizing
4941 stmts that use the defs of the current stmt. The example below
4942 illustrates the vectorization process when VF=16 and nunits=4 (i.e.,
4943 we need to create 4 vectorized stmts):
4945 before vectorization:
4946 RELATED_STMT VEC_STMT
4947 S1: x = memref - -
4948 S2: z = x + 1 - -
4950 step 1: vectorize stmt S1 (done in vectorizable_load. See more details
4951 there):
4952 RELATED_STMT VEC_STMT
4953 VS1_0: vx0 = memref0 VS1_1 -
4954 VS1_1: vx1 = memref1 VS1_2 -
4955 VS1_2: vx2 = memref2 VS1_3 -
4956 VS1_3: vx3 = memref3 - -
4957 S1: x = load - VS1_0
4958 S2: z = x + 1 - -
4960 step2: vectorize stmt S2 (done here):
4961 To vectorize stmt S2 we first need to find the relevant vector
4962 def for the first operand 'x'. This is, as usual, obtained from
4963 the vector stmt recorded in the STMT_VINFO_VEC_STMT of the stmt
4964 that defines 'x' (S1). This way we find the stmt VS1_0, and the
4965 relevant vector def 'vx0'. Having found 'vx0' we can generate
4966 the vector stmt VS2_0, and as usual, record it in the
4967 STMT_VINFO_VEC_STMT of stmt S2.
4968 When creating the second copy (VS2_1), we obtain the relevant vector
4969 def from the vector stmt recorded in the STMT_VINFO_RELATED_STMT of
4970 stmt VS1_0. This way we find the stmt VS1_1 and the relevant
4971 vector def 'vx1'. Using 'vx1' we create stmt VS2_1 and record a
4972 pointer to it in the STMT_VINFO_RELATED_STMT of the vector stmt VS2_0.
4973 Similarly when creating stmts VS2_2 and VS2_3. This is the resulting
4974 chain of stmts and pointers:
4975 RELATED_STMT VEC_STMT
4976 VS1_0: vx0 = memref0 VS1_1 -
4977 VS1_1: vx1 = memref1 VS1_2 -
4978 VS1_2: vx2 = memref2 VS1_3 -
4979 VS1_3: vx3 = memref3 - -
4980 S1: x = load - VS1_0
4981 VS2_0: vz0 = vx0 + v1 VS2_1 -
4982 VS2_1: vz1 = vx1 + v1 VS2_2 -
4983 VS2_2: vz2 = vx2 + v1 VS2_3 -
4984 VS2_3: vz3 = vx3 + v1 - -
4985 S2: z = x + 1 - VS2_0 */
4987 prev_stmt_info = NULL;
4988 for (j = 0; j < ncopies; j++)
4990 /* Handle uses. */
4991 if (j == 0)
4993 if (op_type == binary_op || op_type == ternary_op)
4994 vect_get_vec_defs (op0, op1, stmt, &vec_oprnds0, &vec_oprnds1,
4995 slp_node, -1);
4996 else
4997 vect_get_vec_defs (op0, NULL_TREE, stmt, &vec_oprnds0, NULL,
4998 slp_node, -1);
4999 if (op_type == ternary_op)
5001 vec_oprnds2.create (1);
5002 vec_oprnds2.quick_push (vect_get_vec_def_for_operand (op2,
5003 stmt,
5004 NULL));
5007 else
5009 vect_get_vec_defs_for_stmt_copy (dt, &vec_oprnds0, &vec_oprnds1);
5010 if (op_type == ternary_op)
5012 tree vec_oprnd = vec_oprnds2.pop ();
5013 vec_oprnds2.quick_push (vect_get_vec_def_for_stmt_copy (dt[2],
5014 vec_oprnd));
5018 /* Arguments are ready. Create the new vector stmt. */
5019 FOR_EACH_VEC_ELT (vec_oprnds0, i, vop0)
5021 vop1 = ((op_type == binary_op || op_type == ternary_op)
5022 ? vec_oprnds1[i] : NULL_TREE);
5023 vop2 = ((op_type == ternary_op)
5024 ? vec_oprnds2[i] : NULL_TREE);
5025 new_stmt = gimple_build_assign (vec_dest, code, vop0, vop1, vop2);
5026 new_temp = make_ssa_name (vec_dest, new_stmt);
5027 gimple_assign_set_lhs (new_stmt, new_temp);
5028 vect_finish_stmt_generation (stmt, new_stmt, gsi);
5029 if (slp_node)
5030 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
5033 if (slp_node)
5034 continue;
5036 if (j == 0)
5037 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
5038 else
5039 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
5040 prev_stmt_info = vinfo_for_stmt (new_stmt);
5043 vec_oprnds0.release ();
5044 vec_oprnds1.release ();
5045 vec_oprnds2.release ();
5047 return true;
5050 /* A helper function to ensure data reference DR's base alignment
5051 for STMT_INFO. */
5053 static void
5054 ensure_base_align (stmt_vec_info stmt_info, struct data_reference *dr)
5056 if (!dr->aux)
5057 return;
5059 if (((dataref_aux *)dr->aux)->base_misaligned)
5061 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
5062 tree base_decl = ((dataref_aux *)dr->aux)->base_decl;
5064 if (decl_in_symtab_p (base_decl))
5065 symtab_node::get (base_decl)->increase_alignment (TYPE_ALIGN (vectype));
5066 else
5068 DECL_ALIGN (base_decl) = TYPE_ALIGN (vectype);
5069 DECL_USER_ALIGN (base_decl) = 1;
5071 ((dataref_aux *)dr->aux)->base_misaligned = false;
5076 /* Given a vector type VECTYPE returns the VECTOR_CST mask that implements
5077 reversal of the vector elements. If that is impossible to do,
5078 returns NULL. */
5080 static tree
5081 perm_mask_for_reverse (tree vectype)
5083 int i, nunits;
5084 unsigned char *sel;
5086 nunits = TYPE_VECTOR_SUBPARTS (vectype);
5087 sel = XALLOCAVEC (unsigned char, nunits);
5089 for (i = 0; i < nunits; ++i)
5090 sel[i] = nunits - 1 - i;
5092 if (!can_vec_perm_p (TYPE_MODE (vectype), false, sel))
5093 return NULL_TREE;
5094 return vect_gen_perm_mask_checked (vectype, sel);
5097 /* Function vectorizable_store.
5099 Check if STMT defines a non scalar data-ref (array/pointer/structure) that
5100 can be vectorized.
5101 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
5102 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
5103 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
5105 static bool
5106 vectorizable_store (gimple stmt, gimple_stmt_iterator *gsi, gimple *vec_stmt,
5107 slp_tree slp_node)
5109 tree scalar_dest;
5110 tree data_ref;
5111 tree op;
5112 tree vec_oprnd = NULL_TREE;
5113 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
5114 struct data_reference *dr = STMT_VINFO_DATA_REF (stmt_info), *first_dr = NULL;
5115 tree elem_type;
5116 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
5117 struct loop *loop = NULL;
5118 machine_mode vec_mode;
5119 tree dummy;
5120 enum dr_alignment_support alignment_support_scheme;
5121 tree def;
5122 gimple def_stmt;
5123 enum vect_def_type dt;
5124 stmt_vec_info prev_stmt_info = NULL;
5125 tree dataref_ptr = NULL_TREE;
5126 tree dataref_offset = NULL_TREE;
5127 gimple ptr_incr = NULL;
5128 int ncopies;
5129 int j;
5130 gimple next_stmt, first_stmt = NULL;
5131 bool grouped_store = false;
5132 bool store_lanes_p = false;
5133 unsigned int group_size, i;
5134 vec<tree> dr_chain = vNULL;
5135 vec<tree> oprnds = vNULL;
5136 vec<tree> result_chain = vNULL;
5137 bool inv_p;
5138 bool negative = false;
5139 tree offset = NULL_TREE;
5140 vec<tree> vec_oprnds = vNULL;
5141 bool slp = (slp_node != NULL);
5142 unsigned int vec_num;
5143 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
5144 tree aggr_type;
5146 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
5147 return false;
5149 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
5150 return false;
5152 /* Is vectorizable store? */
5154 if (!is_gimple_assign (stmt))
5155 return false;
5157 scalar_dest = gimple_assign_lhs (stmt);
5158 if (TREE_CODE (scalar_dest) == VIEW_CONVERT_EXPR
5159 && is_pattern_stmt_p (stmt_info))
5160 scalar_dest = TREE_OPERAND (scalar_dest, 0);
5161 if (TREE_CODE (scalar_dest) != ARRAY_REF
5162 && TREE_CODE (scalar_dest) != BIT_FIELD_REF
5163 && TREE_CODE (scalar_dest) != INDIRECT_REF
5164 && TREE_CODE (scalar_dest) != COMPONENT_REF
5165 && TREE_CODE (scalar_dest) != IMAGPART_EXPR
5166 && TREE_CODE (scalar_dest) != REALPART_EXPR
5167 && TREE_CODE (scalar_dest) != MEM_REF)
5168 return false;
5170 gcc_assert (gimple_assign_single_p (stmt));
5172 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
5173 unsigned int nunits = TYPE_VECTOR_SUBPARTS (vectype);
5175 if (loop_vinfo)
5176 loop = LOOP_VINFO_LOOP (loop_vinfo);
5178 /* Multiple types in SLP are handled by creating the appropriate number of
5179 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
5180 case of SLP. */
5181 if (slp || PURE_SLP_STMT (stmt_info))
5182 ncopies = 1;
5183 else
5184 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
5186 gcc_assert (ncopies >= 1);
5188 /* FORNOW. This restriction should be relaxed. */
5189 if (loop && nested_in_vect_loop_p (loop, stmt) && ncopies > 1)
5191 if (dump_enabled_p ())
5192 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5193 "multiple types in nested loop.\n");
5194 return false;
5197 op = gimple_assign_rhs1 (stmt);
5198 if (!vect_is_simple_use (op, stmt, loop_vinfo, bb_vinfo, &def_stmt,
5199 &def, &dt))
5201 if (dump_enabled_p ())
5202 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5203 "use not simple.\n");
5204 return false;
5207 elem_type = TREE_TYPE (vectype);
5208 vec_mode = TYPE_MODE (vectype);
5210 /* FORNOW. In some cases can vectorize even if data-type not supported
5211 (e.g. - array initialization with 0). */
5212 if (optab_handler (mov_optab, vec_mode) == CODE_FOR_nothing)
5213 return false;
5215 if (!STMT_VINFO_DATA_REF (stmt_info))
5216 return false;
5218 if (!STMT_VINFO_STRIDED_P (stmt_info))
5220 negative =
5221 tree_int_cst_compare (loop && nested_in_vect_loop_p (loop, stmt)
5222 ? STMT_VINFO_DR_STEP (stmt_info) : DR_STEP (dr),
5223 size_zero_node) < 0;
5224 if (negative && ncopies > 1)
5226 if (dump_enabled_p ())
5227 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5228 "multiple types with negative step.\n");
5229 return false;
5231 if (negative)
5233 gcc_assert (!grouped_store);
5234 alignment_support_scheme = vect_supportable_dr_alignment (dr, false);
5235 if (alignment_support_scheme != dr_aligned
5236 && alignment_support_scheme != dr_unaligned_supported)
5238 if (dump_enabled_p ())
5239 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5240 "negative step but alignment required.\n");
5241 return false;
5243 if (dt != vect_constant_def
5244 && dt != vect_external_def
5245 && !perm_mask_for_reverse (vectype))
5247 if (dump_enabled_p ())
5248 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5249 "negative step and reversing not supported.\n");
5250 return false;
5255 if (STMT_VINFO_GROUPED_ACCESS (stmt_info))
5257 grouped_store = true;
5258 first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
5259 group_size = GROUP_SIZE (vinfo_for_stmt (first_stmt));
5260 if (!slp
5261 && !PURE_SLP_STMT (stmt_info)
5262 && !STMT_VINFO_STRIDED_P (stmt_info))
5264 if (vect_store_lanes_supported (vectype, group_size))
5265 store_lanes_p = true;
5266 else if (!vect_grouped_store_supported (vectype, group_size))
5267 return false;
5270 if (STMT_VINFO_STRIDED_P (stmt_info)
5271 && (slp || PURE_SLP_STMT (stmt_info))
5272 && (group_size > nunits
5273 || nunits % group_size != 0))
5275 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5276 "unhandled strided group store\n");
5277 return false;
5280 if (first_stmt == stmt)
5282 /* STMT is the leader of the group. Check the operands of all the
5283 stmts of the group. */
5284 next_stmt = GROUP_NEXT_ELEMENT (stmt_info);
5285 while (next_stmt)
5287 gcc_assert (gimple_assign_single_p (next_stmt));
5288 op = gimple_assign_rhs1 (next_stmt);
5289 if (!vect_is_simple_use (op, next_stmt, loop_vinfo, bb_vinfo,
5290 &def_stmt, &def, &dt))
5292 if (dump_enabled_p ())
5293 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5294 "use not simple.\n");
5295 return false;
5297 next_stmt = GROUP_NEXT_ELEMENT (vinfo_for_stmt (next_stmt));
5302 if (!vec_stmt) /* transformation not required. */
5304 STMT_VINFO_TYPE (stmt_info) = store_vec_info_type;
5305 /* The SLP costs are calculated during SLP analysis. */
5306 if (!PURE_SLP_STMT (stmt_info))
5307 vect_model_store_cost (stmt_info, ncopies, store_lanes_p, dt,
5308 NULL, NULL, NULL);
5309 return true;
5312 /** Transform. **/
5314 ensure_base_align (stmt_info, dr);
5316 if (grouped_store)
5318 first_dr = STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt));
5319 group_size = GROUP_SIZE (vinfo_for_stmt (first_stmt));
5321 GROUP_STORE_COUNT (vinfo_for_stmt (first_stmt))++;
5323 /* FORNOW */
5324 gcc_assert (!loop || !nested_in_vect_loop_p (loop, stmt));
5326 /* We vectorize all the stmts of the interleaving group when we
5327 reach the last stmt in the group. */
5328 if (GROUP_STORE_COUNT (vinfo_for_stmt (first_stmt))
5329 < GROUP_SIZE (vinfo_for_stmt (first_stmt))
5330 && !slp)
5332 *vec_stmt = NULL;
5333 return true;
5336 if (slp)
5338 grouped_store = false;
5339 /* VEC_NUM is the number of vect stmts to be created for this
5340 group. */
5341 vec_num = SLP_TREE_NUMBER_OF_VEC_STMTS (slp_node);
5342 first_stmt = SLP_TREE_SCALAR_STMTS (slp_node)[0];
5343 first_dr = STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt));
5344 op = gimple_assign_rhs1 (first_stmt);
5346 else
5347 /* VEC_NUM is the number of vect stmts to be created for this
5348 group. */
5349 vec_num = group_size;
5351 else
5353 first_stmt = stmt;
5354 first_dr = dr;
5355 group_size = vec_num = 1;
5358 if (dump_enabled_p ())
5359 dump_printf_loc (MSG_NOTE, vect_location,
5360 "transform store. ncopies = %d\n", ncopies);
5362 if (STMT_VINFO_STRIDED_P (stmt_info))
5364 gimple_stmt_iterator incr_gsi;
5365 bool insert_after;
5366 gimple incr;
5367 tree offvar;
5368 tree ivstep;
5369 tree running_off;
5370 gimple_seq stmts = NULL;
5371 tree stride_base, stride_step, alias_off;
5372 tree vec_oprnd;
5373 unsigned int g;
5375 gcc_assert (!nested_in_vect_loop_p (loop, stmt));
5377 stride_base
5378 = fold_build_pointer_plus
5379 (unshare_expr (DR_BASE_ADDRESS (first_dr)),
5380 size_binop (PLUS_EXPR,
5381 convert_to_ptrofftype (unshare_expr (DR_OFFSET (first_dr))),
5382 convert_to_ptrofftype (DR_INIT(first_dr))));
5383 stride_step = fold_convert (sizetype, unshare_expr (DR_STEP (first_dr)));
5385 /* For a store with loop-invariant (but other than power-of-2)
5386 stride (i.e. not a grouped access) like so:
5388 for (i = 0; i < n; i += stride)
5389 array[i] = ...;
5391 we generate a new induction variable and new stores from
5392 the components of the (vectorized) rhs:
5394 for (j = 0; ; j += VF*stride)
5395 vectemp = ...;
5396 tmp1 = vectemp[0];
5397 array[j] = tmp1;
5398 tmp2 = vectemp[1];
5399 array[j + stride] = tmp2;
5403 unsigned nstores = nunits;
5404 tree ltype = elem_type;
5405 if (slp)
5407 nstores = nunits / group_size;
5408 if (group_size < nunits)
5409 ltype = build_vector_type (elem_type, group_size);
5410 else
5411 ltype = vectype;
5412 ltype = build_aligned_type (ltype, TYPE_ALIGN (elem_type));
5413 ncopies = SLP_TREE_NUMBER_OF_VEC_STMTS (slp_node);
5414 group_size = 1;
5417 ivstep = stride_step;
5418 ivstep = fold_build2 (MULT_EXPR, TREE_TYPE (ivstep), ivstep,
5419 build_int_cst (TREE_TYPE (ivstep),
5420 ncopies * nstores));
5422 standard_iv_increment_position (loop, &incr_gsi, &insert_after);
5424 create_iv (stride_base, ivstep, NULL,
5425 loop, &incr_gsi, insert_after,
5426 &offvar, NULL);
5427 incr = gsi_stmt (incr_gsi);
5428 set_vinfo_for_stmt (incr, new_stmt_vec_info (incr, loop_vinfo, NULL));
5430 stride_step = force_gimple_operand (stride_step, &stmts, true, NULL_TREE);
5431 if (stmts)
5432 gsi_insert_seq_on_edge_immediate (loop_preheader_edge (loop), stmts);
5434 prev_stmt_info = NULL;
5435 alias_off = build_int_cst (reference_alias_ptr_type (DR_REF (first_dr)), 0);
5436 next_stmt = first_stmt;
5437 for (g = 0; g < group_size; g++)
5439 running_off = offvar;
5440 if (g)
5442 tree size = TYPE_SIZE_UNIT (ltype);
5443 tree pos = fold_build2 (MULT_EXPR, sizetype, size_int (g),
5444 size);
5445 tree newoff = copy_ssa_name (running_off, NULL);
5446 incr = gimple_build_assign (newoff, POINTER_PLUS_EXPR,
5447 running_off, pos);
5448 vect_finish_stmt_generation (stmt, incr, gsi);
5449 running_off = newoff;
5451 for (j = 0; j < ncopies; j++)
5453 /* We've set op and dt above, from gimple_assign_rhs1(stmt),
5454 and first_stmt == stmt. */
5455 if (j == 0)
5457 if (slp)
5459 vect_get_vec_defs (op, NULL_TREE, stmt, &vec_oprnds, NULL,
5460 slp_node, -1);
5461 vec_oprnd = vec_oprnds[0];
5463 else
5465 gcc_assert (gimple_assign_single_p (next_stmt));
5466 op = gimple_assign_rhs1 (next_stmt);
5467 vec_oprnd = vect_get_vec_def_for_operand (op, next_stmt,
5468 NULL);
5471 else
5473 if (slp)
5474 vec_oprnd = vec_oprnds[j];
5475 else
5477 vect_is_simple_use (vec_oprnd, NULL, loop_vinfo,
5478 bb_vinfo, &def_stmt, &def, &dt);
5479 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt, vec_oprnd);
5483 for (i = 0; i < nstores; i++)
5485 tree newref, newoff;
5486 gimple incr, assign;
5487 tree size = TYPE_SIZE (ltype);
5488 /* Extract the i'th component. */
5489 tree pos = fold_build2 (MULT_EXPR, bitsizetype,
5490 bitsize_int (i), size);
5491 tree elem = fold_build3 (BIT_FIELD_REF, ltype, vec_oprnd,
5492 size, pos);
5494 elem = force_gimple_operand_gsi (gsi, elem, true,
5495 NULL_TREE, true,
5496 GSI_SAME_STMT);
5498 newref = build2 (MEM_REF, ltype,
5499 running_off, alias_off);
5501 /* And store it to *running_off. */
5502 assign = gimple_build_assign (newref, elem);
5503 vect_finish_stmt_generation (stmt, assign, gsi);
5505 newoff = copy_ssa_name (running_off, NULL);
5506 incr = gimple_build_assign (newoff, POINTER_PLUS_EXPR,
5507 running_off, stride_step);
5508 vect_finish_stmt_generation (stmt, incr, gsi);
5510 running_off = newoff;
5511 if (g == group_size - 1
5512 && !slp)
5514 if (j == 0 && i == 0)
5515 STMT_VINFO_VEC_STMT (stmt_info)
5516 = *vec_stmt = assign;
5517 else
5518 STMT_VINFO_RELATED_STMT (prev_stmt_info) = assign;
5519 prev_stmt_info = vinfo_for_stmt (assign);
5523 next_stmt = GROUP_NEXT_ELEMENT (vinfo_for_stmt (next_stmt));
5525 return true;
5528 dr_chain.create (group_size);
5529 oprnds.create (group_size);
5531 alignment_support_scheme = vect_supportable_dr_alignment (first_dr, false);
5532 gcc_assert (alignment_support_scheme);
5533 /* Targets with store-lane instructions must not require explicit
5534 realignment. */
5535 gcc_assert (!store_lanes_p
5536 || alignment_support_scheme == dr_aligned
5537 || alignment_support_scheme == dr_unaligned_supported);
5539 if (negative)
5540 offset = size_int (-TYPE_VECTOR_SUBPARTS (vectype) + 1);
5542 if (store_lanes_p)
5543 aggr_type = build_array_type_nelts (elem_type, vec_num * nunits);
5544 else
5545 aggr_type = vectype;
5547 /* In case the vectorization factor (VF) is bigger than the number
5548 of elements that we can fit in a vectype (nunits), we have to generate
5549 more than one vector stmt - i.e - we need to "unroll" the
5550 vector stmt by a factor VF/nunits. For more details see documentation in
5551 vect_get_vec_def_for_copy_stmt. */
5553 /* In case of interleaving (non-unit grouped access):
5555 S1: &base + 2 = x2
5556 S2: &base = x0
5557 S3: &base + 1 = x1
5558 S4: &base + 3 = x3
5560 We create vectorized stores starting from base address (the access of the
5561 first stmt in the chain (S2 in the above example), when the last store stmt
5562 of the chain (S4) is reached:
5564 VS1: &base = vx2
5565 VS2: &base + vec_size*1 = vx0
5566 VS3: &base + vec_size*2 = vx1
5567 VS4: &base + vec_size*3 = vx3
5569 Then permutation statements are generated:
5571 VS5: vx5 = VEC_PERM_EXPR < vx0, vx3, {0, 8, 1, 9, 2, 10, 3, 11} >
5572 VS6: vx6 = VEC_PERM_EXPR < vx0, vx3, {4, 12, 5, 13, 6, 14, 7, 15} >
5575 And they are put in STMT_VINFO_VEC_STMT of the corresponding scalar stmts
5576 (the order of the data-refs in the output of vect_permute_store_chain
5577 corresponds to the order of scalar stmts in the interleaving chain - see
5578 the documentation of vect_permute_store_chain()).
5580 In case of both multiple types and interleaving, above vector stores and
5581 permutation stmts are created for every copy. The result vector stmts are
5582 put in STMT_VINFO_VEC_STMT for the first copy and in the corresponding
5583 STMT_VINFO_RELATED_STMT for the next copies.
5586 prev_stmt_info = NULL;
5587 for (j = 0; j < ncopies; j++)
5589 gimple new_stmt;
5591 if (j == 0)
5593 if (slp)
5595 /* Get vectorized arguments for SLP_NODE. */
5596 vect_get_vec_defs (op, NULL_TREE, stmt, &vec_oprnds,
5597 NULL, slp_node, -1);
5599 vec_oprnd = vec_oprnds[0];
5601 else
5603 /* For interleaved stores we collect vectorized defs for all the
5604 stores in the group in DR_CHAIN and OPRNDS. DR_CHAIN is then
5605 used as an input to vect_permute_store_chain(), and OPRNDS as
5606 an input to vect_get_vec_def_for_stmt_copy() for the next copy.
5608 If the store is not grouped, GROUP_SIZE is 1, and DR_CHAIN and
5609 OPRNDS are of size 1. */
5610 next_stmt = first_stmt;
5611 for (i = 0; i < group_size; i++)
5613 /* Since gaps are not supported for interleaved stores,
5614 GROUP_SIZE is the exact number of stmts in the chain.
5615 Therefore, NEXT_STMT can't be NULL_TREE. In case that
5616 there is no interleaving, GROUP_SIZE is 1, and only one
5617 iteration of the loop will be executed. */
5618 gcc_assert (next_stmt
5619 && gimple_assign_single_p (next_stmt));
5620 op = gimple_assign_rhs1 (next_stmt);
5622 vec_oprnd = vect_get_vec_def_for_operand (op, next_stmt,
5623 NULL);
5624 dr_chain.quick_push (vec_oprnd);
5625 oprnds.quick_push (vec_oprnd);
5626 next_stmt = GROUP_NEXT_ELEMENT (vinfo_for_stmt (next_stmt));
5630 /* We should have catched mismatched types earlier. */
5631 gcc_assert (useless_type_conversion_p (vectype,
5632 TREE_TYPE (vec_oprnd)));
5633 bool simd_lane_access_p
5634 = STMT_VINFO_SIMD_LANE_ACCESS_P (stmt_info);
5635 if (simd_lane_access_p
5636 && TREE_CODE (DR_BASE_ADDRESS (first_dr)) == ADDR_EXPR
5637 && VAR_P (TREE_OPERAND (DR_BASE_ADDRESS (first_dr), 0))
5638 && integer_zerop (DR_OFFSET (first_dr))
5639 && integer_zerop (DR_INIT (first_dr))
5640 && alias_sets_conflict_p (get_alias_set (aggr_type),
5641 get_alias_set (DR_REF (first_dr))))
5643 dataref_ptr = unshare_expr (DR_BASE_ADDRESS (first_dr));
5644 dataref_offset = build_int_cst (reference_alias_ptr_type
5645 (DR_REF (first_dr)), 0);
5646 inv_p = false;
5648 else
5649 dataref_ptr
5650 = vect_create_data_ref_ptr (first_stmt, aggr_type,
5651 simd_lane_access_p ? loop : NULL,
5652 offset, &dummy, gsi, &ptr_incr,
5653 simd_lane_access_p, &inv_p);
5654 gcc_assert (bb_vinfo || !inv_p);
5656 else
5658 /* For interleaved stores we created vectorized defs for all the
5659 defs stored in OPRNDS in the previous iteration (previous copy).
5660 DR_CHAIN is then used as an input to vect_permute_store_chain(),
5661 and OPRNDS as an input to vect_get_vec_def_for_stmt_copy() for the
5662 next copy.
5663 If the store is not grouped, GROUP_SIZE is 1, and DR_CHAIN and
5664 OPRNDS are of size 1. */
5665 for (i = 0; i < group_size; i++)
5667 op = oprnds[i];
5668 vect_is_simple_use (op, NULL, loop_vinfo, bb_vinfo, &def_stmt,
5669 &def, &dt);
5670 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt, op);
5671 dr_chain[i] = vec_oprnd;
5672 oprnds[i] = vec_oprnd;
5674 if (dataref_offset)
5675 dataref_offset
5676 = int_const_binop (PLUS_EXPR, dataref_offset,
5677 TYPE_SIZE_UNIT (aggr_type));
5678 else
5679 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi, stmt,
5680 TYPE_SIZE_UNIT (aggr_type));
5683 if (store_lanes_p)
5685 tree vec_array;
5687 /* Combine all the vectors into an array. */
5688 vec_array = create_vector_array (vectype, vec_num);
5689 for (i = 0; i < vec_num; i++)
5691 vec_oprnd = dr_chain[i];
5692 write_vector_array (stmt, gsi, vec_oprnd, vec_array, i);
5695 /* Emit:
5696 MEM_REF[...all elements...] = STORE_LANES (VEC_ARRAY). */
5697 data_ref = create_array_ref (aggr_type, dataref_ptr, first_dr);
5698 new_stmt = gimple_build_call_internal (IFN_STORE_LANES, 1, vec_array);
5699 gimple_call_set_lhs (new_stmt, data_ref);
5700 vect_finish_stmt_generation (stmt, new_stmt, gsi);
5702 else
5704 new_stmt = NULL;
5705 if (grouped_store)
5707 if (j == 0)
5708 result_chain.create (group_size);
5709 /* Permute. */
5710 vect_permute_store_chain (dr_chain, group_size, stmt, gsi,
5711 &result_chain);
5714 next_stmt = first_stmt;
5715 for (i = 0; i < vec_num; i++)
5717 unsigned align, misalign;
5719 if (i > 0)
5720 /* Bump the vector pointer. */
5721 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi,
5722 stmt, NULL_TREE);
5724 if (slp)
5725 vec_oprnd = vec_oprnds[i];
5726 else if (grouped_store)
5727 /* For grouped stores vectorized defs are interleaved in
5728 vect_permute_store_chain(). */
5729 vec_oprnd = result_chain[i];
5731 data_ref = fold_build2 (MEM_REF, TREE_TYPE (vec_oprnd),
5732 dataref_ptr,
5733 dataref_offset
5734 ? dataref_offset
5735 : build_int_cst (reference_alias_ptr_type
5736 (DR_REF (first_dr)), 0));
5737 align = TYPE_ALIGN_UNIT (vectype);
5738 if (aligned_access_p (first_dr))
5739 misalign = 0;
5740 else if (DR_MISALIGNMENT (first_dr) == -1)
5742 TREE_TYPE (data_ref)
5743 = build_aligned_type (TREE_TYPE (data_ref),
5744 TYPE_ALIGN (elem_type));
5745 align = TYPE_ALIGN_UNIT (elem_type);
5746 misalign = 0;
5748 else
5750 TREE_TYPE (data_ref)
5751 = build_aligned_type (TREE_TYPE (data_ref),
5752 TYPE_ALIGN (elem_type));
5753 misalign = DR_MISALIGNMENT (first_dr);
5755 if (dataref_offset == NULL_TREE
5756 && TREE_CODE (dataref_ptr) == SSA_NAME)
5757 set_ptr_info_alignment (get_ptr_info (dataref_ptr), align,
5758 misalign);
5760 if (negative
5761 && dt != vect_constant_def
5762 && dt != vect_external_def)
5764 tree perm_mask = perm_mask_for_reverse (vectype);
5765 tree perm_dest
5766 = vect_create_destination_var (gimple_assign_rhs1 (stmt),
5767 vectype);
5768 tree new_temp = make_ssa_name (perm_dest);
5770 /* Generate the permute statement. */
5771 gimple perm_stmt
5772 = gimple_build_assign (new_temp, VEC_PERM_EXPR, vec_oprnd,
5773 vec_oprnd, perm_mask);
5774 vect_finish_stmt_generation (stmt, perm_stmt, gsi);
5776 perm_stmt = SSA_NAME_DEF_STMT (new_temp);
5777 vec_oprnd = new_temp;
5780 /* Arguments are ready. Create the new vector stmt. */
5781 new_stmt = gimple_build_assign (data_ref, vec_oprnd);
5782 vect_finish_stmt_generation (stmt, new_stmt, gsi);
5784 if (slp)
5785 continue;
5787 next_stmt = GROUP_NEXT_ELEMENT (vinfo_for_stmt (next_stmt));
5788 if (!next_stmt)
5789 break;
5792 if (!slp)
5794 if (j == 0)
5795 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
5796 else
5797 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
5798 prev_stmt_info = vinfo_for_stmt (new_stmt);
5802 dr_chain.release ();
5803 oprnds.release ();
5804 result_chain.release ();
5805 vec_oprnds.release ();
5807 return true;
5810 /* Given a vector type VECTYPE, turns permutation SEL into the equivalent
5811 VECTOR_CST mask. No checks are made that the target platform supports the
5812 mask, so callers may wish to test can_vec_perm_p separately, or use
5813 vect_gen_perm_mask_checked. */
5815 tree
5816 vect_gen_perm_mask_any (tree vectype, const unsigned char *sel)
5818 tree mask_elt_type, mask_type, mask_vec, *mask_elts;
5819 int i, nunits;
5821 nunits = TYPE_VECTOR_SUBPARTS (vectype);
5823 mask_elt_type = lang_hooks.types.type_for_mode
5824 (int_mode_for_mode (TYPE_MODE (TREE_TYPE (vectype))), 1);
5825 mask_type = get_vectype_for_scalar_type (mask_elt_type);
5827 mask_elts = XALLOCAVEC (tree, nunits);
5828 for (i = nunits - 1; i >= 0; i--)
5829 mask_elts[i] = build_int_cst (mask_elt_type, sel[i]);
5830 mask_vec = build_vector (mask_type, mask_elts);
5832 return mask_vec;
5835 /* Checked version of vect_gen_perm_mask_any. Asserts can_vec_perm_p,
5836 i.e. that the target supports the pattern _for arbitrary input vectors_. */
5838 tree
5839 vect_gen_perm_mask_checked (tree vectype, const unsigned char *sel)
5841 gcc_assert (can_vec_perm_p (TYPE_MODE (vectype), false, sel));
5842 return vect_gen_perm_mask_any (vectype, sel);
5845 /* Given a vector variable X and Y, that was generated for the scalar
5846 STMT, generate instructions to permute the vector elements of X and Y
5847 using permutation mask MASK_VEC, insert them at *GSI and return the
5848 permuted vector variable. */
5850 static tree
5851 permute_vec_elements (tree x, tree y, tree mask_vec, gimple stmt,
5852 gimple_stmt_iterator *gsi)
5854 tree vectype = TREE_TYPE (x);
5855 tree perm_dest, data_ref;
5856 gimple perm_stmt;
5858 perm_dest = vect_create_destination_var (gimple_get_lhs (stmt), vectype);
5859 data_ref = make_ssa_name (perm_dest);
5861 /* Generate the permute statement. */
5862 perm_stmt = gimple_build_assign (data_ref, VEC_PERM_EXPR, x, y, mask_vec);
5863 vect_finish_stmt_generation (stmt, perm_stmt, gsi);
5865 return data_ref;
5868 /* Hoist the definitions of all SSA uses on STMT out of the loop LOOP,
5869 inserting them on the loops preheader edge. Returns true if we
5870 were successful in doing so (and thus STMT can be moved then),
5871 otherwise returns false. */
5873 static bool
5874 hoist_defs_of_uses (gimple stmt, struct loop *loop)
5876 ssa_op_iter i;
5877 tree op;
5878 bool any = false;
5880 FOR_EACH_SSA_TREE_OPERAND (op, stmt, i, SSA_OP_USE)
5882 gimple def_stmt = SSA_NAME_DEF_STMT (op);
5883 if (!gimple_nop_p (def_stmt)
5884 && flow_bb_inside_loop_p (loop, gimple_bb (def_stmt)))
5886 /* Make sure we don't need to recurse. While we could do
5887 so in simple cases when there are more complex use webs
5888 we don't have an easy way to preserve stmt order to fulfil
5889 dependencies within them. */
5890 tree op2;
5891 ssa_op_iter i2;
5892 if (gimple_code (def_stmt) == GIMPLE_PHI)
5893 return false;
5894 FOR_EACH_SSA_TREE_OPERAND (op2, def_stmt, i2, SSA_OP_USE)
5896 gimple def_stmt2 = SSA_NAME_DEF_STMT (op2);
5897 if (!gimple_nop_p (def_stmt2)
5898 && flow_bb_inside_loop_p (loop, gimple_bb (def_stmt2)))
5899 return false;
5901 any = true;
5905 if (!any)
5906 return true;
5908 FOR_EACH_SSA_TREE_OPERAND (op, stmt, i, SSA_OP_USE)
5910 gimple def_stmt = SSA_NAME_DEF_STMT (op);
5911 if (!gimple_nop_p (def_stmt)
5912 && flow_bb_inside_loop_p (loop, gimple_bb (def_stmt)))
5914 gimple_stmt_iterator gsi = gsi_for_stmt (def_stmt);
5915 gsi_remove (&gsi, false);
5916 gsi_insert_on_edge_immediate (loop_preheader_edge (loop), def_stmt);
5920 return true;
5923 /* vectorizable_load.
5925 Check if STMT reads a non scalar data-ref (array/pointer/structure) that
5926 can be vectorized.
5927 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
5928 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
5929 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
5931 static bool
5932 vectorizable_load (gimple stmt, gimple_stmt_iterator *gsi, gimple *vec_stmt,
5933 slp_tree slp_node, slp_instance slp_node_instance)
5935 tree scalar_dest;
5936 tree vec_dest = NULL;
5937 tree data_ref = NULL;
5938 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
5939 stmt_vec_info prev_stmt_info;
5940 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
5941 struct loop *loop = NULL;
5942 struct loop *containing_loop = (gimple_bb (stmt))->loop_father;
5943 bool nested_in_vect_loop = false;
5944 struct data_reference *dr = STMT_VINFO_DATA_REF (stmt_info), *first_dr = NULL;
5945 tree elem_type;
5946 tree new_temp;
5947 machine_mode mode;
5948 gimple new_stmt = NULL;
5949 tree dummy;
5950 enum dr_alignment_support alignment_support_scheme;
5951 tree dataref_ptr = NULL_TREE;
5952 tree dataref_offset = NULL_TREE;
5953 gimple ptr_incr = NULL;
5954 int ncopies;
5955 int i, j, group_size = -1, group_gap_adj;
5956 tree msq = NULL_TREE, lsq;
5957 tree offset = NULL_TREE;
5958 tree byte_offset = NULL_TREE;
5959 tree realignment_token = NULL_TREE;
5960 gphi *phi = NULL;
5961 vec<tree> dr_chain = vNULL;
5962 bool grouped_load = false;
5963 bool load_lanes_p = false;
5964 gimple first_stmt;
5965 bool inv_p;
5966 bool negative = false;
5967 bool compute_in_loop = false;
5968 struct loop *at_loop;
5969 int vec_num;
5970 bool slp = (slp_node != NULL);
5971 bool slp_perm = false;
5972 enum tree_code code;
5973 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
5974 int vf;
5975 tree aggr_type;
5976 tree gather_base = NULL_TREE, gather_off = NULL_TREE;
5977 tree gather_off_vectype = NULL_TREE, gather_decl = NULL_TREE;
5978 int gather_scale = 1;
5979 enum vect_def_type gather_dt = vect_unknown_def_type;
5981 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
5982 return false;
5984 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
5985 return false;
5987 /* Is vectorizable load? */
5988 if (!is_gimple_assign (stmt))
5989 return false;
5991 scalar_dest = gimple_assign_lhs (stmt);
5992 if (TREE_CODE (scalar_dest) != SSA_NAME)
5993 return false;
5995 code = gimple_assign_rhs_code (stmt);
5996 if (code != ARRAY_REF
5997 && code != BIT_FIELD_REF
5998 && code != INDIRECT_REF
5999 && code != COMPONENT_REF
6000 && code != IMAGPART_EXPR
6001 && code != REALPART_EXPR
6002 && code != MEM_REF
6003 && TREE_CODE_CLASS (code) != tcc_declaration)
6004 return false;
6006 if (!STMT_VINFO_DATA_REF (stmt_info))
6007 return false;
6009 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
6010 int nunits = TYPE_VECTOR_SUBPARTS (vectype);
6012 if (loop_vinfo)
6014 loop = LOOP_VINFO_LOOP (loop_vinfo);
6015 nested_in_vect_loop = nested_in_vect_loop_p (loop, stmt);
6016 vf = LOOP_VINFO_VECT_FACTOR (loop_vinfo);
6018 else
6019 vf = 1;
6021 /* Multiple types in SLP are handled by creating the appropriate number of
6022 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
6023 case of SLP. */
6024 if (slp || PURE_SLP_STMT (stmt_info))
6025 ncopies = 1;
6026 else
6027 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
6029 gcc_assert (ncopies >= 1);
6031 /* FORNOW. This restriction should be relaxed. */
6032 if (nested_in_vect_loop && ncopies > 1)
6034 if (dump_enabled_p ())
6035 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6036 "multiple types in nested loop.\n");
6037 return false;
6040 /* Invalidate assumptions made by dependence analysis when vectorization
6041 on the unrolled body effectively re-orders stmts. */
6042 if (ncopies > 1
6043 && STMT_VINFO_MIN_NEG_DIST (stmt_info) != 0
6044 && ((unsigned)LOOP_VINFO_VECT_FACTOR (loop_vinfo)
6045 > STMT_VINFO_MIN_NEG_DIST (stmt_info)))
6047 if (dump_enabled_p ())
6048 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6049 "cannot perform implicit CSE when unrolling "
6050 "with negative dependence distance\n");
6051 return false;
6054 elem_type = TREE_TYPE (vectype);
6055 mode = TYPE_MODE (vectype);
6057 /* FORNOW. In some cases can vectorize even if data-type not supported
6058 (e.g. - data copies). */
6059 if (optab_handler (mov_optab, mode) == CODE_FOR_nothing)
6061 if (dump_enabled_p ())
6062 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6063 "Aligned load, but unsupported type.\n");
6064 return false;
6067 /* Check if the load is a part of an interleaving chain. */
6068 if (STMT_VINFO_GROUPED_ACCESS (stmt_info))
6070 grouped_load = true;
6071 /* FORNOW */
6072 gcc_assert (! nested_in_vect_loop && !STMT_VINFO_GATHER_P (stmt_info));
6074 first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
6076 /* If this is single-element interleaving with an element distance
6077 that leaves unused vector loads around punt - we at least create
6078 very sub-optimal code in that case (and blow up memory,
6079 see PR65518). */
6080 if (first_stmt == stmt
6081 && !GROUP_NEXT_ELEMENT (stmt_info)
6082 && GROUP_SIZE (stmt_info) > TYPE_VECTOR_SUBPARTS (vectype))
6084 if (dump_enabled_p ())
6085 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6086 "single-element interleaving not supported "
6087 "for not adjacent vector loads\n");
6088 return false;
6091 if (slp && SLP_TREE_LOAD_PERMUTATION (slp_node).exists ())
6092 slp_perm = true;
6094 group_size = GROUP_SIZE (vinfo_for_stmt (first_stmt));
6095 if (!slp
6096 && !PURE_SLP_STMT (stmt_info)
6097 && !STMT_VINFO_STRIDED_P (stmt_info))
6099 if (vect_load_lanes_supported (vectype, group_size))
6100 load_lanes_p = true;
6101 else if (!vect_grouped_load_supported (vectype, group_size))
6102 return false;
6105 /* Invalidate assumptions made by dependence analysis when vectorization
6106 on the unrolled body effectively re-orders stmts. */
6107 if (!PURE_SLP_STMT (stmt_info)
6108 && STMT_VINFO_MIN_NEG_DIST (stmt_info) != 0
6109 && ((unsigned)LOOP_VINFO_VECT_FACTOR (loop_vinfo)
6110 > STMT_VINFO_MIN_NEG_DIST (stmt_info)))
6112 if (dump_enabled_p ())
6113 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6114 "cannot perform implicit CSE when performing "
6115 "group loads with negative dependence distance\n");
6116 return false;
6119 /* Similarly when the stmt is a load that is both part of a SLP
6120 instance and a loop vectorized stmt via the same-dr mechanism
6121 we have to give up. */
6122 if (STMT_VINFO_GROUP_SAME_DR_STMT (stmt_info)
6123 && (STMT_SLP_TYPE (stmt_info)
6124 != STMT_SLP_TYPE (vinfo_for_stmt
6125 (STMT_VINFO_GROUP_SAME_DR_STMT (stmt_info)))))
6127 if (dump_enabled_p ())
6128 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6129 "conflicting SLP types for CSEd load\n");
6130 return false;
6135 if (STMT_VINFO_GATHER_P (stmt_info))
6137 gimple def_stmt;
6138 tree def;
6139 gather_decl = vect_check_gather (stmt, loop_vinfo, &gather_base,
6140 &gather_off, &gather_scale);
6141 gcc_assert (gather_decl);
6142 if (!vect_is_simple_use_1 (gather_off, NULL, loop_vinfo, bb_vinfo,
6143 &def_stmt, &def, &gather_dt,
6144 &gather_off_vectype))
6146 if (dump_enabled_p ())
6147 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6148 "gather index use not simple.\n");
6149 return false;
6152 else if (STMT_VINFO_STRIDED_P (stmt_info))
6154 if ((grouped_load
6155 && (slp || PURE_SLP_STMT (stmt_info)))
6156 && (group_size > nunits
6157 || nunits % group_size != 0))
6159 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6160 "unhandled strided group load\n");
6161 return false;
6164 else
6166 negative = tree_int_cst_compare (nested_in_vect_loop
6167 ? STMT_VINFO_DR_STEP (stmt_info)
6168 : DR_STEP (dr),
6169 size_zero_node) < 0;
6170 if (negative && ncopies > 1)
6172 if (dump_enabled_p ())
6173 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6174 "multiple types with negative step.\n");
6175 return false;
6178 if (negative)
6180 if (grouped_load)
6182 if (dump_enabled_p ())
6183 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6184 "negative step for group load not supported"
6185 "\n");
6186 return false;
6188 alignment_support_scheme = vect_supportable_dr_alignment (dr, false);
6189 if (alignment_support_scheme != dr_aligned
6190 && alignment_support_scheme != dr_unaligned_supported)
6192 if (dump_enabled_p ())
6193 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6194 "negative step but alignment required.\n");
6195 return false;
6197 if (!perm_mask_for_reverse (vectype))
6199 if (dump_enabled_p ())
6200 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6201 "negative step and reversing not supported."
6202 "\n");
6203 return false;
6208 if (!vec_stmt) /* transformation not required. */
6210 STMT_VINFO_TYPE (stmt_info) = load_vec_info_type;
6211 /* The SLP costs are calculated during SLP analysis. */
6212 if (!PURE_SLP_STMT (stmt_info))
6213 vect_model_load_cost (stmt_info, ncopies, load_lanes_p,
6214 NULL, NULL, NULL);
6215 return true;
6218 if (dump_enabled_p ())
6219 dump_printf_loc (MSG_NOTE, vect_location,
6220 "transform load. ncopies = %d\n", ncopies);
6222 /** Transform. **/
6224 ensure_base_align (stmt_info, dr);
6226 if (STMT_VINFO_GATHER_P (stmt_info))
6228 tree vec_oprnd0 = NULL_TREE, op;
6229 tree arglist = TYPE_ARG_TYPES (TREE_TYPE (gather_decl));
6230 tree rettype, srctype, ptrtype, idxtype, masktype, scaletype;
6231 tree ptr, mask, var, scale, merge, perm_mask = NULL_TREE, prev_res = NULL_TREE;
6232 edge pe = loop_preheader_edge (loop);
6233 gimple_seq seq;
6234 basic_block new_bb;
6235 enum { NARROW, NONE, WIDEN } modifier;
6236 int gather_off_nunits = TYPE_VECTOR_SUBPARTS (gather_off_vectype);
6238 if (nunits == gather_off_nunits)
6239 modifier = NONE;
6240 else if (nunits == gather_off_nunits / 2)
6242 unsigned char *sel = XALLOCAVEC (unsigned char, gather_off_nunits);
6243 modifier = WIDEN;
6245 for (i = 0; i < gather_off_nunits; ++i)
6246 sel[i] = i | nunits;
6248 perm_mask = vect_gen_perm_mask_checked (gather_off_vectype, sel);
6250 else if (nunits == gather_off_nunits * 2)
6252 unsigned char *sel = XALLOCAVEC (unsigned char, nunits);
6253 modifier = NARROW;
6255 for (i = 0; i < nunits; ++i)
6256 sel[i] = i < gather_off_nunits
6257 ? i : i + nunits - gather_off_nunits;
6259 perm_mask = vect_gen_perm_mask_checked (vectype, sel);
6260 ncopies *= 2;
6262 else
6263 gcc_unreachable ();
6265 rettype = TREE_TYPE (TREE_TYPE (gather_decl));
6266 srctype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
6267 ptrtype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
6268 idxtype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
6269 masktype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
6270 scaletype = TREE_VALUE (arglist);
6271 gcc_checking_assert (types_compatible_p (srctype, rettype));
6273 vec_dest = vect_create_destination_var (scalar_dest, vectype);
6275 ptr = fold_convert (ptrtype, gather_base);
6276 if (!is_gimple_min_invariant (ptr))
6278 ptr = force_gimple_operand (ptr, &seq, true, NULL_TREE);
6279 new_bb = gsi_insert_seq_on_edge_immediate (pe, seq);
6280 gcc_assert (!new_bb);
6283 /* Currently we support only unconditional gather loads,
6284 so mask should be all ones. */
6285 if (TREE_CODE (masktype) == INTEGER_TYPE)
6286 mask = build_int_cst (masktype, -1);
6287 else if (TREE_CODE (TREE_TYPE (masktype)) == INTEGER_TYPE)
6289 mask = build_int_cst (TREE_TYPE (masktype), -1);
6290 mask = build_vector_from_val (masktype, mask);
6291 mask = vect_init_vector (stmt, mask, masktype, NULL);
6293 else if (SCALAR_FLOAT_TYPE_P (TREE_TYPE (masktype)))
6295 REAL_VALUE_TYPE r;
6296 long tmp[6];
6297 for (j = 0; j < 6; ++j)
6298 tmp[j] = -1;
6299 real_from_target (&r, tmp, TYPE_MODE (TREE_TYPE (masktype)));
6300 mask = build_real (TREE_TYPE (masktype), r);
6301 mask = build_vector_from_val (masktype, mask);
6302 mask = vect_init_vector (stmt, mask, masktype, NULL);
6304 else
6305 gcc_unreachable ();
6307 scale = build_int_cst (scaletype, gather_scale);
6309 if (TREE_CODE (TREE_TYPE (rettype)) == INTEGER_TYPE)
6310 merge = build_int_cst (TREE_TYPE (rettype), 0);
6311 else if (SCALAR_FLOAT_TYPE_P (TREE_TYPE (rettype)))
6313 REAL_VALUE_TYPE r;
6314 long tmp[6];
6315 for (j = 0; j < 6; ++j)
6316 tmp[j] = 0;
6317 real_from_target (&r, tmp, TYPE_MODE (TREE_TYPE (rettype)));
6318 merge = build_real (TREE_TYPE (rettype), r);
6320 else
6321 gcc_unreachable ();
6322 merge = build_vector_from_val (rettype, merge);
6323 merge = vect_init_vector (stmt, merge, rettype, NULL);
6325 prev_stmt_info = NULL;
6326 for (j = 0; j < ncopies; ++j)
6328 if (modifier == WIDEN && (j & 1))
6329 op = permute_vec_elements (vec_oprnd0, vec_oprnd0,
6330 perm_mask, stmt, gsi);
6331 else if (j == 0)
6332 op = vec_oprnd0
6333 = vect_get_vec_def_for_operand (gather_off, stmt, NULL);
6334 else
6335 op = vec_oprnd0
6336 = vect_get_vec_def_for_stmt_copy (gather_dt, vec_oprnd0);
6338 if (!useless_type_conversion_p (idxtype, TREE_TYPE (op)))
6340 gcc_assert (TYPE_VECTOR_SUBPARTS (TREE_TYPE (op))
6341 == TYPE_VECTOR_SUBPARTS (idxtype));
6342 var = vect_get_new_vect_var (idxtype, vect_simple_var, NULL);
6343 var = make_ssa_name (var);
6344 op = build1 (VIEW_CONVERT_EXPR, idxtype, op);
6345 new_stmt
6346 = gimple_build_assign (var, VIEW_CONVERT_EXPR, op);
6347 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6348 op = var;
6351 new_stmt
6352 = gimple_build_call (gather_decl, 5, merge, ptr, op, mask, scale);
6354 if (!useless_type_conversion_p (vectype, rettype))
6356 gcc_assert (TYPE_VECTOR_SUBPARTS (vectype)
6357 == TYPE_VECTOR_SUBPARTS (rettype));
6358 var = vect_get_new_vect_var (rettype, vect_simple_var, NULL);
6359 op = make_ssa_name (var, new_stmt);
6360 gimple_call_set_lhs (new_stmt, op);
6361 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6362 var = make_ssa_name (vec_dest);
6363 op = build1 (VIEW_CONVERT_EXPR, vectype, op);
6364 new_stmt
6365 = gimple_build_assign (var, VIEW_CONVERT_EXPR, op);
6367 else
6369 var = make_ssa_name (vec_dest, new_stmt);
6370 gimple_call_set_lhs (new_stmt, var);
6373 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6375 if (modifier == NARROW)
6377 if ((j & 1) == 0)
6379 prev_res = var;
6380 continue;
6382 var = permute_vec_elements (prev_res, var,
6383 perm_mask, stmt, gsi);
6384 new_stmt = SSA_NAME_DEF_STMT (var);
6387 if (prev_stmt_info == NULL)
6388 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
6389 else
6390 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
6391 prev_stmt_info = vinfo_for_stmt (new_stmt);
6393 return true;
6395 else if (STMT_VINFO_STRIDED_P (stmt_info))
6397 gimple_stmt_iterator incr_gsi;
6398 bool insert_after;
6399 gimple incr;
6400 tree offvar;
6401 tree ivstep;
6402 tree running_off;
6403 vec<constructor_elt, va_gc> *v = NULL;
6404 gimple_seq stmts = NULL;
6405 tree stride_base, stride_step, alias_off;
6407 gcc_assert (!nested_in_vect_loop);
6409 if (slp && grouped_load)
6410 first_dr = STMT_VINFO_DATA_REF
6411 (vinfo_for_stmt (GROUP_FIRST_ELEMENT (stmt_info)));
6412 else
6413 first_dr = dr;
6415 stride_base
6416 = fold_build_pointer_plus
6417 (DR_BASE_ADDRESS (first_dr),
6418 size_binop (PLUS_EXPR,
6419 convert_to_ptrofftype (DR_OFFSET (first_dr)),
6420 convert_to_ptrofftype (DR_INIT (first_dr))));
6421 stride_step = fold_convert (sizetype, DR_STEP (first_dr));
6423 /* For a load with loop-invariant (but other than power-of-2)
6424 stride (i.e. not a grouped access) like so:
6426 for (i = 0; i < n; i += stride)
6427 ... = array[i];
6429 we generate a new induction variable and new accesses to
6430 form a new vector (or vectors, depending on ncopies):
6432 for (j = 0; ; j += VF*stride)
6433 tmp1 = array[j];
6434 tmp2 = array[j + stride];
6436 vectemp = {tmp1, tmp2, ...}
6439 ivstep = fold_build2 (MULT_EXPR, TREE_TYPE (stride_step), stride_step,
6440 build_int_cst (TREE_TYPE (stride_step), vf));
6442 standard_iv_increment_position (loop, &incr_gsi, &insert_after);
6444 create_iv (unshare_expr (stride_base), unshare_expr (ivstep), NULL,
6445 loop, &incr_gsi, insert_after,
6446 &offvar, NULL);
6447 incr = gsi_stmt (incr_gsi);
6448 set_vinfo_for_stmt (incr, new_stmt_vec_info (incr, loop_vinfo, NULL));
6450 stride_step = force_gimple_operand (unshare_expr (stride_step),
6451 &stmts, true, NULL_TREE);
6452 if (stmts)
6453 gsi_insert_seq_on_edge_immediate (loop_preheader_edge (loop), stmts);
6455 prev_stmt_info = NULL;
6456 running_off = offvar;
6457 alias_off = build_int_cst (reference_alias_ptr_type (DR_REF (first_dr)), 0);
6458 int nloads = nunits;
6459 tree ltype = TREE_TYPE (vectype);
6460 auto_vec<tree> dr_chain;
6461 if (slp)
6463 nloads = nunits / group_size;
6464 if (group_size < nunits)
6465 ltype = build_vector_type (TREE_TYPE (vectype), group_size);
6466 else
6467 ltype = vectype;
6468 ltype = build_aligned_type (ltype, TYPE_ALIGN (TREE_TYPE (vectype)));
6469 ncopies = SLP_TREE_NUMBER_OF_VEC_STMTS (slp_node);
6470 if (slp_perm)
6471 dr_chain.create (ncopies);
6473 for (j = 0; j < ncopies; j++)
6475 tree vec_inv;
6477 if (nloads > 1)
6479 vec_alloc (v, nloads);
6480 for (i = 0; i < nloads; i++)
6482 tree newref, newoff;
6483 gimple incr;
6484 newref = build2 (MEM_REF, ltype, running_off, alias_off);
6486 newref = force_gimple_operand_gsi (gsi, newref, true,
6487 NULL_TREE, true,
6488 GSI_SAME_STMT);
6489 CONSTRUCTOR_APPEND_ELT (v, NULL_TREE, newref);
6490 newoff = copy_ssa_name (running_off);
6491 incr = gimple_build_assign (newoff, POINTER_PLUS_EXPR,
6492 running_off, stride_step);
6493 vect_finish_stmt_generation (stmt, incr, gsi);
6495 running_off = newoff;
6498 vec_inv = build_constructor (vectype, v);
6499 new_temp = vect_init_vector (stmt, vec_inv, vectype, gsi);
6500 new_stmt = SSA_NAME_DEF_STMT (new_temp);
6502 else
6504 new_stmt = gimple_build_assign (make_ssa_name (ltype),
6505 build2 (MEM_REF, ltype,
6506 running_off, alias_off));
6507 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6509 tree newoff = copy_ssa_name (running_off);
6510 gimple incr = gimple_build_assign (newoff, POINTER_PLUS_EXPR,
6511 running_off, stride_step);
6512 vect_finish_stmt_generation (stmt, incr, gsi);
6514 running_off = newoff;
6517 if (slp)
6519 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
6520 if (slp_perm)
6521 dr_chain.quick_push (gimple_assign_lhs (new_stmt));
6523 else
6525 if (j == 0)
6526 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
6527 else
6528 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
6529 prev_stmt_info = vinfo_for_stmt (new_stmt);
6532 if (slp_perm)
6533 vect_transform_slp_perm_load (slp_node, dr_chain, gsi, vf,
6534 slp_node_instance, false);
6535 return true;
6538 if (grouped_load)
6540 first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
6541 if (slp
6542 && !SLP_TREE_LOAD_PERMUTATION (slp_node).exists ()
6543 && first_stmt != SLP_TREE_SCALAR_STMTS (slp_node)[0])
6544 first_stmt = SLP_TREE_SCALAR_STMTS (slp_node)[0];
6546 /* Check if the chain of loads is already vectorized. */
6547 if (STMT_VINFO_VEC_STMT (vinfo_for_stmt (first_stmt))
6548 /* For SLP we would need to copy over SLP_TREE_VEC_STMTS.
6549 ??? But we can only do so if there is exactly one
6550 as we have no way to get at the rest. Leave the CSE
6551 opportunity alone.
6552 ??? With the group load eventually participating
6553 in multiple different permutations (having multiple
6554 slp nodes which refer to the same group) the CSE
6555 is even wrong code. See PR56270. */
6556 && !slp)
6558 *vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
6559 return true;
6561 first_dr = STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt));
6562 group_size = GROUP_SIZE (vinfo_for_stmt (first_stmt));
6563 group_gap_adj = 0;
6565 /* VEC_NUM is the number of vect stmts to be created for this group. */
6566 if (slp)
6568 grouped_load = false;
6569 /* For SLP permutation support we need to load the whole group,
6570 not only the number of vector stmts the permutation result
6571 fits in. */
6572 if (slp_perm)
6573 vec_num = (group_size * vf + nunits - 1) / nunits;
6574 else
6575 vec_num = SLP_TREE_NUMBER_OF_VEC_STMTS (slp_node);
6576 group_gap_adj = vf * group_size - nunits * vec_num;
6578 else
6579 vec_num = group_size;
6581 else
6583 first_stmt = stmt;
6584 first_dr = dr;
6585 group_size = vec_num = 1;
6586 group_gap_adj = 0;
6589 alignment_support_scheme = vect_supportable_dr_alignment (first_dr, false);
6590 gcc_assert (alignment_support_scheme);
6591 /* Targets with load-lane instructions must not require explicit
6592 realignment. */
6593 gcc_assert (!load_lanes_p
6594 || alignment_support_scheme == dr_aligned
6595 || alignment_support_scheme == dr_unaligned_supported);
6597 /* In case the vectorization factor (VF) is bigger than the number
6598 of elements that we can fit in a vectype (nunits), we have to generate
6599 more than one vector stmt - i.e - we need to "unroll" the
6600 vector stmt by a factor VF/nunits. In doing so, we record a pointer
6601 from one copy of the vector stmt to the next, in the field
6602 STMT_VINFO_RELATED_STMT. This is necessary in order to allow following
6603 stages to find the correct vector defs to be used when vectorizing
6604 stmts that use the defs of the current stmt. The example below
6605 illustrates the vectorization process when VF=16 and nunits=4 (i.e., we
6606 need to create 4 vectorized stmts):
6608 before vectorization:
6609 RELATED_STMT VEC_STMT
6610 S1: x = memref - -
6611 S2: z = x + 1 - -
6613 step 1: vectorize stmt S1:
6614 We first create the vector stmt VS1_0, and, as usual, record a
6615 pointer to it in the STMT_VINFO_VEC_STMT of the scalar stmt S1.
6616 Next, we create the vector stmt VS1_1, and record a pointer to
6617 it in the STMT_VINFO_RELATED_STMT of the vector stmt VS1_0.
6618 Similarly, for VS1_2 and VS1_3. This is the resulting chain of
6619 stmts and pointers:
6620 RELATED_STMT VEC_STMT
6621 VS1_0: vx0 = memref0 VS1_1 -
6622 VS1_1: vx1 = memref1 VS1_2 -
6623 VS1_2: vx2 = memref2 VS1_3 -
6624 VS1_3: vx3 = memref3 - -
6625 S1: x = load - VS1_0
6626 S2: z = x + 1 - -
6628 See in documentation in vect_get_vec_def_for_stmt_copy for how the
6629 information we recorded in RELATED_STMT field is used to vectorize
6630 stmt S2. */
6632 /* In case of interleaving (non-unit grouped access):
6634 S1: x2 = &base + 2
6635 S2: x0 = &base
6636 S3: x1 = &base + 1
6637 S4: x3 = &base + 3
6639 Vectorized loads are created in the order of memory accesses
6640 starting from the access of the first stmt of the chain:
6642 VS1: vx0 = &base
6643 VS2: vx1 = &base + vec_size*1
6644 VS3: vx3 = &base + vec_size*2
6645 VS4: vx4 = &base + vec_size*3
6647 Then permutation statements are generated:
6649 VS5: vx5 = VEC_PERM_EXPR < vx0, vx1, { 0, 2, ..., i*2 } >
6650 VS6: vx6 = VEC_PERM_EXPR < vx0, vx1, { 1, 3, ..., i*2+1 } >
6653 And they are put in STMT_VINFO_VEC_STMT of the corresponding scalar stmts
6654 (the order of the data-refs in the output of vect_permute_load_chain
6655 corresponds to the order of scalar stmts in the interleaving chain - see
6656 the documentation of vect_permute_load_chain()).
6657 The generation of permutation stmts and recording them in
6658 STMT_VINFO_VEC_STMT is done in vect_transform_grouped_load().
6660 In case of both multiple types and interleaving, the vector loads and
6661 permutation stmts above are created for every copy. The result vector
6662 stmts are put in STMT_VINFO_VEC_STMT for the first copy and in the
6663 corresponding STMT_VINFO_RELATED_STMT for the next copies. */
6665 /* If the data reference is aligned (dr_aligned) or potentially unaligned
6666 on a target that supports unaligned accesses (dr_unaligned_supported)
6667 we generate the following code:
6668 p = initial_addr;
6669 indx = 0;
6670 loop {
6671 p = p + indx * vectype_size;
6672 vec_dest = *(p);
6673 indx = indx + 1;
6676 Otherwise, the data reference is potentially unaligned on a target that
6677 does not support unaligned accesses (dr_explicit_realign_optimized) -
6678 then generate the following code, in which the data in each iteration is
6679 obtained by two vector loads, one from the previous iteration, and one
6680 from the current iteration:
6681 p1 = initial_addr;
6682 msq_init = *(floor(p1))
6683 p2 = initial_addr + VS - 1;
6684 realignment_token = call target_builtin;
6685 indx = 0;
6686 loop {
6687 p2 = p2 + indx * vectype_size
6688 lsq = *(floor(p2))
6689 vec_dest = realign_load (msq, lsq, realignment_token)
6690 indx = indx + 1;
6691 msq = lsq;
6692 } */
6694 /* If the misalignment remains the same throughout the execution of the
6695 loop, we can create the init_addr and permutation mask at the loop
6696 preheader. Otherwise, it needs to be created inside the loop.
6697 This can only occur when vectorizing memory accesses in the inner-loop
6698 nested within an outer-loop that is being vectorized. */
6700 if (nested_in_vect_loop
6701 && (TREE_INT_CST_LOW (DR_STEP (dr))
6702 % GET_MODE_SIZE (TYPE_MODE (vectype)) != 0))
6704 gcc_assert (alignment_support_scheme != dr_explicit_realign_optimized);
6705 compute_in_loop = true;
6708 if ((alignment_support_scheme == dr_explicit_realign_optimized
6709 || alignment_support_scheme == dr_explicit_realign)
6710 && !compute_in_loop)
6712 msq = vect_setup_realignment (first_stmt, gsi, &realignment_token,
6713 alignment_support_scheme, NULL_TREE,
6714 &at_loop);
6715 if (alignment_support_scheme == dr_explicit_realign_optimized)
6717 phi = as_a <gphi *> (SSA_NAME_DEF_STMT (msq));
6718 byte_offset = size_binop (MINUS_EXPR, TYPE_SIZE_UNIT (vectype),
6719 size_one_node);
6722 else
6723 at_loop = loop;
6725 if (negative)
6726 offset = size_int (-TYPE_VECTOR_SUBPARTS (vectype) + 1);
6728 if (load_lanes_p)
6729 aggr_type = build_array_type_nelts (elem_type, vec_num * nunits);
6730 else
6731 aggr_type = vectype;
6733 prev_stmt_info = NULL;
6734 for (j = 0; j < ncopies; j++)
6736 /* 1. Create the vector or array pointer update chain. */
6737 if (j == 0)
6739 bool simd_lane_access_p
6740 = STMT_VINFO_SIMD_LANE_ACCESS_P (stmt_info);
6741 if (simd_lane_access_p
6742 && TREE_CODE (DR_BASE_ADDRESS (first_dr)) == ADDR_EXPR
6743 && VAR_P (TREE_OPERAND (DR_BASE_ADDRESS (first_dr), 0))
6744 && integer_zerop (DR_OFFSET (first_dr))
6745 && integer_zerop (DR_INIT (first_dr))
6746 && alias_sets_conflict_p (get_alias_set (aggr_type),
6747 get_alias_set (DR_REF (first_dr)))
6748 && (alignment_support_scheme == dr_aligned
6749 || alignment_support_scheme == dr_unaligned_supported))
6751 dataref_ptr = unshare_expr (DR_BASE_ADDRESS (first_dr));
6752 dataref_offset = build_int_cst (reference_alias_ptr_type
6753 (DR_REF (first_dr)), 0);
6754 inv_p = false;
6756 else
6757 dataref_ptr
6758 = vect_create_data_ref_ptr (first_stmt, aggr_type, at_loop,
6759 offset, &dummy, gsi, &ptr_incr,
6760 simd_lane_access_p, &inv_p,
6761 byte_offset);
6763 else if (dataref_offset)
6764 dataref_offset = int_const_binop (PLUS_EXPR, dataref_offset,
6765 TYPE_SIZE_UNIT (aggr_type));
6766 else
6767 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi, stmt,
6768 TYPE_SIZE_UNIT (aggr_type));
6770 if (grouped_load || slp_perm)
6771 dr_chain.create (vec_num);
6773 if (load_lanes_p)
6775 tree vec_array;
6777 vec_array = create_vector_array (vectype, vec_num);
6779 /* Emit:
6780 VEC_ARRAY = LOAD_LANES (MEM_REF[...all elements...]). */
6781 data_ref = create_array_ref (aggr_type, dataref_ptr, first_dr);
6782 new_stmt = gimple_build_call_internal (IFN_LOAD_LANES, 1, data_ref);
6783 gimple_call_set_lhs (new_stmt, vec_array);
6784 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6786 /* Extract each vector into an SSA_NAME. */
6787 for (i = 0; i < vec_num; i++)
6789 new_temp = read_vector_array (stmt, gsi, scalar_dest,
6790 vec_array, i);
6791 dr_chain.quick_push (new_temp);
6794 /* Record the mapping between SSA_NAMEs and statements. */
6795 vect_record_grouped_load_vectors (stmt, dr_chain);
6797 else
6799 for (i = 0; i < vec_num; i++)
6801 if (i > 0)
6802 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi,
6803 stmt, NULL_TREE);
6805 /* 2. Create the vector-load in the loop. */
6806 switch (alignment_support_scheme)
6808 case dr_aligned:
6809 case dr_unaligned_supported:
6811 unsigned int align, misalign;
6813 data_ref
6814 = fold_build2 (MEM_REF, vectype, dataref_ptr,
6815 dataref_offset
6816 ? dataref_offset
6817 : build_int_cst (reference_alias_ptr_type
6818 (DR_REF (first_dr)), 0));
6819 align = TYPE_ALIGN_UNIT (vectype);
6820 if (alignment_support_scheme == dr_aligned)
6822 gcc_assert (aligned_access_p (first_dr));
6823 misalign = 0;
6825 else if (DR_MISALIGNMENT (first_dr) == -1)
6827 TREE_TYPE (data_ref)
6828 = build_aligned_type (TREE_TYPE (data_ref),
6829 TYPE_ALIGN (elem_type));
6830 align = TYPE_ALIGN_UNIT (elem_type);
6831 misalign = 0;
6833 else
6835 TREE_TYPE (data_ref)
6836 = build_aligned_type (TREE_TYPE (data_ref),
6837 TYPE_ALIGN (elem_type));
6838 misalign = DR_MISALIGNMENT (first_dr);
6840 if (dataref_offset == NULL_TREE
6841 && TREE_CODE (dataref_ptr) == SSA_NAME)
6842 set_ptr_info_alignment (get_ptr_info (dataref_ptr),
6843 align, misalign);
6844 break;
6846 case dr_explicit_realign:
6848 tree ptr, bump;
6850 tree vs = size_int (TYPE_VECTOR_SUBPARTS (vectype));
6852 if (compute_in_loop)
6853 msq = vect_setup_realignment (first_stmt, gsi,
6854 &realignment_token,
6855 dr_explicit_realign,
6856 dataref_ptr, NULL);
6858 if (TREE_CODE (dataref_ptr) == SSA_NAME)
6859 ptr = copy_ssa_name (dataref_ptr);
6860 else
6861 ptr = make_ssa_name (TREE_TYPE (dataref_ptr));
6862 new_stmt = gimple_build_assign
6863 (ptr, BIT_AND_EXPR, dataref_ptr,
6864 build_int_cst
6865 (TREE_TYPE (dataref_ptr),
6866 -(HOST_WIDE_INT)TYPE_ALIGN_UNIT (vectype)));
6867 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6868 data_ref
6869 = build2 (MEM_REF, vectype, ptr,
6870 build_int_cst (reference_alias_ptr_type
6871 (DR_REF (first_dr)), 0));
6872 vec_dest = vect_create_destination_var (scalar_dest,
6873 vectype);
6874 new_stmt = gimple_build_assign (vec_dest, data_ref);
6875 new_temp = make_ssa_name (vec_dest, new_stmt);
6876 gimple_assign_set_lhs (new_stmt, new_temp);
6877 gimple_set_vdef (new_stmt, gimple_vdef (stmt));
6878 gimple_set_vuse (new_stmt, gimple_vuse (stmt));
6879 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6880 msq = new_temp;
6882 bump = size_binop (MULT_EXPR, vs,
6883 TYPE_SIZE_UNIT (elem_type));
6884 bump = size_binop (MINUS_EXPR, bump, size_one_node);
6885 ptr = bump_vector_ptr (dataref_ptr, NULL, gsi, stmt, bump);
6886 new_stmt = gimple_build_assign
6887 (NULL_TREE, BIT_AND_EXPR, ptr,
6888 build_int_cst
6889 (TREE_TYPE (ptr),
6890 -(HOST_WIDE_INT)TYPE_ALIGN_UNIT (vectype)));
6891 ptr = copy_ssa_name (ptr, new_stmt);
6892 gimple_assign_set_lhs (new_stmt, ptr);
6893 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6894 data_ref
6895 = build2 (MEM_REF, vectype, ptr,
6896 build_int_cst (reference_alias_ptr_type
6897 (DR_REF (first_dr)), 0));
6898 break;
6900 case dr_explicit_realign_optimized:
6901 if (TREE_CODE (dataref_ptr) == SSA_NAME)
6902 new_temp = copy_ssa_name (dataref_ptr);
6903 else
6904 new_temp = make_ssa_name (TREE_TYPE (dataref_ptr));
6905 new_stmt = gimple_build_assign
6906 (new_temp, BIT_AND_EXPR, dataref_ptr,
6907 build_int_cst
6908 (TREE_TYPE (dataref_ptr),
6909 -(HOST_WIDE_INT)TYPE_ALIGN_UNIT (vectype)));
6910 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6911 data_ref
6912 = build2 (MEM_REF, vectype, new_temp,
6913 build_int_cst (reference_alias_ptr_type
6914 (DR_REF (first_dr)), 0));
6915 break;
6916 default:
6917 gcc_unreachable ();
6919 vec_dest = vect_create_destination_var (scalar_dest, vectype);
6920 new_stmt = gimple_build_assign (vec_dest, data_ref);
6921 new_temp = make_ssa_name (vec_dest, new_stmt);
6922 gimple_assign_set_lhs (new_stmt, new_temp);
6923 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6925 /* 3. Handle explicit realignment if necessary/supported.
6926 Create in loop:
6927 vec_dest = realign_load (msq, lsq, realignment_token) */
6928 if (alignment_support_scheme == dr_explicit_realign_optimized
6929 || alignment_support_scheme == dr_explicit_realign)
6931 lsq = gimple_assign_lhs (new_stmt);
6932 if (!realignment_token)
6933 realignment_token = dataref_ptr;
6934 vec_dest = vect_create_destination_var (scalar_dest, vectype);
6935 new_stmt = gimple_build_assign (vec_dest, REALIGN_LOAD_EXPR,
6936 msq, lsq, realignment_token);
6937 new_temp = make_ssa_name (vec_dest, new_stmt);
6938 gimple_assign_set_lhs (new_stmt, new_temp);
6939 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6941 if (alignment_support_scheme == dr_explicit_realign_optimized)
6943 gcc_assert (phi);
6944 if (i == vec_num - 1 && j == ncopies - 1)
6945 add_phi_arg (phi, lsq,
6946 loop_latch_edge (containing_loop),
6947 UNKNOWN_LOCATION);
6948 msq = lsq;
6952 /* 4. Handle invariant-load. */
6953 if (inv_p && !bb_vinfo)
6955 gcc_assert (!grouped_load);
6956 /* If we have versioned for aliasing or the loop doesn't
6957 have any data dependencies that would preclude this,
6958 then we are sure this is a loop invariant load and
6959 thus we can insert it on the preheader edge. */
6960 if (LOOP_VINFO_NO_DATA_DEPENDENCIES (loop_vinfo)
6961 && !nested_in_vect_loop
6962 && hoist_defs_of_uses (stmt, loop))
6964 if (dump_enabled_p ())
6966 dump_printf_loc (MSG_NOTE, vect_location,
6967 "hoisting out of the vectorized "
6968 "loop: ");
6969 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
6971 tree tem = copy_ssa_name (scalar_dest);
6972 gsi_insert_on_edge_immediate
6973 (loop_preheader_edge (loop),
6974 gimple_build_assign (tem,
6975 unshare_expr
6976 (gimple_assign_rhs1 (stmt))));
6977 new_temp = vect_init_vector (stmt, tem, vectype, NULL);
6979 else
6981 gimple_stmt_iterator gsi2 = *gsi;
6982 gsi_next (&gsi2);
6983 new_temp = vect_init_vector (stmt, scalar_dest,
6984 vectype, &gsi2);
6986 new_stmt = SSA_NAME_DEF_STMT (new_temp);
6987 set_vinfo_for_stmt (new_stmt,
6988 new_stmt_vec_info (new_stmt, loop_vinfo,
6989 bb_vinfo));
6992 if (negative)
6994 tree perm_mask = perm_mask_for_reverse (vectype);
6995 new_temp = permute_vec_elements (new_temp, new_temp,
6996 perm_mask, stmt, gsi);
6997 new_stmt = SSA_NAME_DEF_STMT (new_temp);
7000 /* Collect vector loads and later create their permutation in
7001 vect_transform_grouped_load (). */
7002 if (grouped_load || slp_perm)
7003 dr_chain.quick_push (new_temp);
7005 /* Store vector loads in the corresponding SLP_NODE. */
7006 if (slp && !slp_perm)
7007 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
7009 /* Bump the vector pointer to account for a gap or for excess
7010 elements loaded for a permuted SLP load. */
7011 if (group_gap_adj != 0)
7013 bool ovf;
7014 tree bump
7015 = wide_int_to_tree (sizetype,
7016 wi::smul (TYPE_SIZE_UNIT (elem_type),
7017 group_gap_adj, &ovf));
7018 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi,
7019 stmt, bump);
7023 if (slp && !slp_perm)
7024 continue;
7026 if (slp_perm)
7028 if (!vect_transform_slp_perm_load (slp_node, dr_chain, gsi, vf,
7029 slp_node_instance, false))
7031 dr_chain.release ();
7032 return false;
7035 else
7037 if (grouped_load)
7039 if (!load_lanes_p)
7040 vect_transform_grouped_load (stmt, dr_chain, group_size, gsi);
7041 *vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
7043 else
7045 if (j == 0)
7046 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
7047 else
7048 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
7049 prev_stmt_info = vinfo_for_stmt (new_stmt);
7052 dr_chain.release ();
7055 return true;
7058 /* Function vect_is_simple_cond.
7060 Input:
7061 LOOP - the loop that is being vectorized.
7062 COND - Condition that is checked for simple use.
7064 Output:
7065 *COMP_VECTYPE - the vector type for the comparison.
7067 Returns whether a COND can be vectorized. Checks whether
7068 condition operands are supportable using vec_is_simple_use. */
7070 static bool
7071 vect_is_simple_cond (tree cond, gimple stmt, loop_vec_info loop_vinfo,
7072 bb_vec_info bb_vinfo, tree *comp_vectype)
7074 tree lhs, rhs;
7075 tree def;
7076 enum vect_def_type dt;
7077 tree vectype1 = NULL_TREE, vectype2 = NULL_TREE;
7079 if (!COMPARISON_CLASS_P (cond))
7080 return false;
7082 lhs = TREE_OPERAND (cond, 0);
7083 rhs = TREE_OPERAND (cond, 1);
7085 if (TREE_CODE (lhs) == SSA_NAME)
7087 gimple lhs_def_stmt = SSA_NAME_DEF_STMT (lhs);
7088 if (!vect_is_simple_use_1 (lhs, stmt, loop_vinfo, bb_vinfo,
7089 &lhs_def_stmt, &def, &dt, &vectype1))
7090 return false;
7092 else if (TREE_CODE (lhs) != INTEGER_CST && TREE_CODE (lhs) != REAL_CST
7093 && TREE_CODE (lhs) != FIXED_CST)
7094 return false;
7096 if (TREE_CODE (rhs) == SSA_NAME)
7098 gimple rhs_def_stmt = SSA_NAME_DEF_STMT (rhs);
7099 if (!vect_is_simple_use_1 (rhs, stmt, loop_vinfo, bb_vinfo,
7100 &rhs_def_stmt, &def, &dt, &vectype2))
7101 return false;
7103 else if (TREE_CODE (rhs) != INTEGER_CST && TREE_CODE (rhs) != REAL_CST
7104 && TREE_CODE (rhs) != FIXED_CST)
7105 return false;
7107 *comp_vectype = vectype1 ? vectype1 : vectype2;
7108 return true;
7111 /* vectorizable_condition.
7113 Check if STMT is conditional modify expression that can be vectorized.
7114 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
7115 stmt using VEC_COND_EXPR to replace it, put it in VEC_STMT, and insert it
7116 at GSI.
7118 When STMT is vectorized as nested cycle, REDUC_DEF is the vector variable
7119 to be used at REDUC_INDEX (in then clause if REDUC_INDEX is 1, and in
7120 else caluse if it is 2).
7122 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
7124 bool
7125 vectorizable_condition (gimple stmt, gimple_stmt_iterator *gsi,
7126 gimple *vec_stmt, tree reduc_def, int reduc_index,
7127 slp_tree slp_node)
7129 tree scalar_dest = NULL_TREE;
7130 tree vec_dest = NULL_TREE;
7131 tree cond_expr, then_clause, else_clause;
7132 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
7133 tree comp_vectype = NULL_TREE;
7134 tree vec_cond_lhs = NULL_TREE, vec_cond_rhs = NULL_TREE;
7135 tree vec_then_clause = NULL_TREE, vec_else_clause = NULL_TREE;
7136 tree vec_compare, vec_cond_expr;
7137 tree new_temp;
7138 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
7139 tree def;
7140 enum vect_def_type dt, dts[4];
7141 int ncopies;
7142 enum tree_code code;
7143 stmt_vec_info prev_stmt_info = NULL;
7144 int i, j;
7145 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
7146 vec<tree> vec_oprnds0 = vNULL;
7147 vec<tree> vec_oprnds1 = vNULL;
7148 vec<tree> vec_oprnds2 = vNULL;
7149 vec<tree> vec_oprnds3 = vNULL;
7150 tree vec_cmp_type;
7152 if (reduc_index && STMT_SLP_TYPE (stmt_info))
7153 return false;
7155 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
7156 return false;
7158 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def
7159 && !(STMT_VINFO_DEF_TYPE (stmt_info) == vect_nested_cycle
7160 && reduc_def))
7161 return false;
7163 /* FORNOW: not yet supported. */
7164 if (STMT_VINFO_LIVE_P (stmt_info))
7166 if (dump_enabled_p ())
7167 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7168 "value used after loop.\n");
7169 return false;
7172 /* Is vectorizable conditional operation? */
7173 if (!is_gimple_assign (stmt))
7174 return false;
7176 code = gimple_assign_rhs_code (stmt);
7178 if (code != COND_EXPR)
7179 return false;
7181 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
7182 int nunits = TYPE_VECTOR_SUBPARTS (vectype);
7184 if (slp_node || PURE_SLP_STMT (stmt_info))
7185 ncopies = 1;
7186 else
7187 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
7189 gcc_assert (ncopies >= 1);
7190 if (reduc_index && ncopies > 1)
7191 return false; /* FORNOW */
7193 cond_expr = gimple_assign_rhs1 (stmt);
7194 then_clause = gimple_assign_rhs2 (stmt);
7195 else_clause = gimple_assign_rhs3 (stmt);
7197 if (!vect_is_simple_cond (cond_expr, stmt, loop_vinfo, bb_vinfo,
7198 &comp_vectype)
7199 || !comp_vectype)
7200 return false;
7202 if (TREE_CODE (then_clause) == SSA_NAME)
7204 gimple then_def_stmt = SSA_NAME_DEF_STMT (then_clause);
7205 if (!vect_is_simple_use (then_clause, stmt, loop_vinfo, bb_vinfo,
7206 &then_def_stmt, &def, &dt))
7207 return false;
7209 else if (TREE_CODE (then_clause) != INTEGER_CST
7210 && TREE_CODE (then_clause) != REAL_CST
7211 && TREE_CODE (then_clause) != FIXED_CST)
7212 return false;
7214 if (TREE_CODE (else_clause) == SSA_NAME)
7216 gimple else_def_stmt = SSA_NAME_DEF_STMT (else_clause);
7217 if (!vect_is_simple_use (else_clause, stmt, loop_vinfo, bb_vinfo,
7218 &else_def_stmt, &def, &dt))
7219 return false;
7221 else if (TREE_CODE (else_clause) != INTEGER_CST
7222 && TREE_CODE (else_clause) != REAL_CST
7223 && TREE_CODE (else_clause) != FIXED_CST)
7224 return false;
7226 unsigned int prec = GET_MODE_BITSIZE (TYPE_MODE (TREE_TYPE (vectype)));
7227 /* The result of a vector comparison should be signed type. */
7228 tree cmp_type = build_nonstandard_integer_type (prec, 0);
7229 vec_cmp_type = get_same_sized_vectype (cmp_type, vectype);
7230 if (vec_cmp_type == NULL_TREE)
7231 return false;
7233 if (!vec_stmt)
7235 STMT_VINFO_TYPE (stmt_info) = condition_vec_info_type;
7236 return expand_vec_cond_expr_p (vectype, comp_vectype);
7239 /* Transform. */
7241 if (!slp_node)
7243 vec_oprnds0.create (1);
7244 vec_oprnds1.create (1);
7245 vec_oprnds2.create (1);
7246 vec_oprnds3.create (1);
7249 /* Handle def. */
7250 scalar_dest = gimple_assign_lhs (stmt);
7251 vec_dest = vect_create_destination_var (scalar_dest, vectype);
7253 /* Handle cond expr. */
7254 for (j = 0; j < ncopies; j++)
7256 gassign *new_stmt = NULL;
7257 if (j == 0)
7259 if (slp_node)
7261 auto_vec<tree, 4> ops;
7262 auto_vec<vec<tree>, 4> vec_defs;
7264 ops.safe_push (TREE_OPERAND (cond_expr, 0));
7265 ops.safe_push (TREE_OPERAND (cond_expr, 1));
7266 ops.safe_push (then_clause);
7267 ops.safe_push (else_clause);
7268 vect_get_slp_defs (ops, slp_node, &vec_defs, -1);
7269 vec_oprnds3 = vec_defs.pop ();
7270 vec_oprnds2 = vec_defs.pop ();
7271 vec_oprnds1 = vec_defs.pop ();
7272 vec_oprnds0 = vec_defs.pop ();
7274 ops.release ();
7275 vec_defs.release ();
7277 else
7279 gimple gtemp;
7280 vec_cond_lhs =
7281 vect_get_vec_def_for_operand (TREE_OPERAND (cond_expr, 0),
7282 stmt, NULL);
7283 vect_is_simple_use (TREE_OPERAND (cond_expr, 0), stmt,
7284 loop_vinfo, NULL, &gtemp, &def, &dts[0]);
7286 vec_cond_rhs =
7287 vect_get_vec_def_for_operand (TREE_OPERAND (cond_expr, 1),
7288 stmt, NULL);
7289 vect_is_simple_use (TREE_OPERAND (cond_expr, 1), stmt,
7290 loop_vinfo, NULL, &gtemp, &def, &dts[1]);
7291 if (reduc_index == 1)
7292 vec_then_clause = reduc_def;
7293 else
7295 vec_then_clause = vect_get_vec_def_for_operand (then_clause,
7296 stmt, NULL);
7297 vect_is_simple_use (then_clause, stmt, loop_vinfo,
7298 NULL, &gtemp, &def, &dts[2]);
7300 if (reduc_index == 2)
7301 vec_else_clause = reduc_def;
7302 else
7304 vec_else_clause = vect_get_vec_def_for_operand (else_clause,
7305 stmt, NULL);
7306 vect_is_simple_use (else_clause, stmt, loop_vinfo,
7307 NULL, &gtemp, &def, &dts[3]);
7311 else
7313 vec_cond_lhs = vect_get_vec_def_for_stmt_copy (dts[0],
7314 vec_oprnds0.pop ());
7315 vec_cond_rhs = vect_get_vec_def_for_stmt_copy (dts[1],
7316 vec_oprnds1.pop ());
7317 vec_then_clause = vect_get_vec_def_for_stmt_copy (dts[2],
7318 vec_oprnds2.pop ());
7319 vec_else_clause = vect_get_vec_def_for_stmt_copy (dts[3],
7320 vec_oprnds3.pop ());
7323 if (!slp_node)
7325 vec_oprnds0.quick_push (vec_cond_lhs);
7326 vec_oprnds1.quick_push (vec_cond_rhs);
7327 vec_oprnds2.quick_push (vec_then_clause);
7328 vec_oprnds3.quick_push (vec_else_clause);
7331 /* Arguments are ready. Create the new vector stmt. */
7332 FOR_EACH_VEC_ELT (vec_oprnds0, i, vec_cond_lhs)
7334 vec_cond_rhs = vec_oprnds1[i];
7335 vec_then_clause = vec_oprnds2[i];
7336 vec_else_clause = vec_oprnds3[i];
7338 vec_compare = build2 (TREE_CODE (cond_expr), vec_cmp_type,
7339 vec_cond_lhs, vec_cond_rhs);
7340 vec_cond_expr = build3 (VEC_COND_EXPR, vectype,
7341 vec_compare, vec_then_clause, vec_else_clause);
7343 new_stmt = gimple_build_assign (vec_dest, vec_cond_expr);
7344 new_temp = make_ssa_name (vec_dest, new_stmt);
7345 gimple_assign_set_lhs (new_stmt, new_temp);
7346 vect_finish_stmt_generation (stmt, new_stmt, gsi);
7347 if (slp_node)
7348 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
7351 if (slp_node)
7352 continue;
7354 if (j == 0)
7355 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
7356 else
7357 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
7359 prev_stmt_info = vinfo_for_stmt (new_stmt);
7362 vec_oprnds0.release ();
7363 vec_oprnds1.release ();
7364 vec_oprnds2.release ();
7365 vec_oprnds3.release ();
7367 return true;
7371 /* Make sure the statement is vectorizable. */
7373 bool
7374 vect_analyze_stmt (gimple stmt, bool *need_to_vectorize, slp_tree node)
7376 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
7377 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
7378 enum vect_relevant relevance = STMT_VINFO_RELEVANT (stmt_info);
7379 bool ok;
7380 tree scalar_type, vectype;
7381 gimple pattern_stmt;
7382 gimple_seq pattern_def_seq;
7384 if (dump_enabled_p ())
7386 dump_printf_loc (MSG_NOTE, vect_location, "==> examining statement: ");
7387 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
7390 if (gimple_has_volatile_ops (stmt))
7392 if (dump_enabled_p ())
7393 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7394 "not vectorized: stmt has volatile operands\n");
7396 return false;
7399 /* Skip stmts that do not need to be vectorized. In loops this is expected
7400 to include:
7401 - the COND_EXPR which is the loop exit condition
7402 - any LABEL_EXPRs in the loop
7403 - computations that are used only for array indexing or loop control.
7404 In basic blocks we only analyze statements that are a part of some SLP
7405 instance, therefore, all the statements are relevant.
7407 Pattern statement needs to be analyzed instead of the original statement
7408 if the original statement is not relevant. Otherwise, we analyze both
7409 statements. In basic blocks we are called from some SLP instance
7410 traversal, don't analyze pattern stmts instead, the pattern stmts
7411 already will be part of SLP instance. */
7413 pattern_stmt = STMT_VINFO_RELATED_STMT (stmt_info);
7414 if (!STMT_VINFO_RELEVANT_P (stmt_info)
7415 && !STMT_VINFO_LIVE_P (stmt_info))
7417 if (STMT_VINFO_IN_PATTERN_P (stmt_info)
7418 && pattern_stmt
7419 && (STMT_VINFO_RELEVANT_P (vinfo_for_stmt (pattern_stmt))
7420 || STMT_VINFO_LIVE_P (vinfo_for_stmt (pattern_stmt))))
7422 /* Analyze PATTERN_STMT instead of the original stmt. */
7423 stmt = pattern_stmt;
7424 stmt_info = vinfo_for_stmt (pattern_stmt);
7425 if (dump_enabled_p ())
7427 dump_printf_loc (MSG_NOTE, vect_location,
7428 "==> examining pattern statement: ");
7429 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
7432 else
7434 if (dump_enabled_p ())
7435 dump_printf_loc (MSG_NOTE, vect_location, "irrelevant.\n");
7437 return true;
7440 else if (STMT_VINFO_IN_PATTERN_P (stmt_info)
7441 && node == NULL
7442 && pattern_stmt
7443 && (STMT_VINFO_RELEVANT_P (vinfo_for_stmt (pattern_stmt))
7444 || STMT_VINFO_LIVE_P (vinfo_for_stmt (pattern_stmt))))
7446 /* Analyze PATTERN_STMT too. */
7447 if (dump_enabled_p ())
7449 dump_printf_loc (MSG_NOTE, vect_location,
7450 "==> examining pattern statement: ");
7451 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
7454 if (!vect_analyze_stmt (pattern_stmt, need_to_vectorize, node))
7455 return false;
7458 if (is_pattern_stmt_p (stmt_info)
7459 && node == NULL
7460 && (pattern_def_seq = STMT_VINFO_PATTERN_DEF_SEQ (stmt_info)))
7462 gimple_stmt_iterator si;
7464 for (si = gsi_start (pattern_def_seq); !gsi_end_p (si); gsi_next (&si))
7466 gimple pattern_def_stmt = gsi_stmt (si);
7467 if (STMT_VINFO_RELEVANT_P (vinfo_for_stmt (pattern_def_stmt))
7468 || STMT_VINFO_LIVE_P (vinfo_for_stmt (pattern_def_stmt)))
7470 /* Analyze def stmt of STMT if it's a pattern stmt. */
7471 if (dump_enabled_p ())
7473 dump_printf_loc (MSG_NOTE, vect_location,
7474 "==> examining pattern def statement: ");
7475 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, pattern_def_stmt, 0);
7478 if (!vect_analyze_stmt (pattern_def_stmt,
7479 need_to_vectorize, node))
7480 return false;
7485 switch (STMT_VINFO_DEF_TYPE (stmt_info))
7487 case vect_internal_def:
7488 break;
7490 case vect_reduction_def:
7491 case vect_nested_cycle:
7492 gcc_assert (!bb_vinfo
7493 && (relevance == vect_used_in_outer
7494 || relevance == vect_used_in_outer_by_reduction
7495 || relevance == vect_used_by_reduction
7496 || relevance == vect_unused_in_scope));
7497 break;
7499 case vect_induction_def:
7500 case vect_constant_def:
7501 case vect_external_def:
7502 case vect_unknown_def_type:
7503 default:
7504 gcc_unreachable ();
7507 if (bb_vinfo)
7509 gcc_assert (PURE_SLP_STMT (stmt_info));
7511 scalar_type = TREE_TYPE (gimple_get_lhs (stmt));
7512 if (dump_enabled_p ())
7514 dump_printf_loc (MSG_NOTE, vect_location,
7515 "get vectype for scalar type: ");
7516 dump_generic_expr (MSG_NOTE, TDF_SLIM, scalar_type);
7517 dump_printf (MSG_NOTE, "\n");
7520 vectype = get_vectype_for_scalar_type (scalar_type);
7521 if (!vectype)
7523 if (dump_enabled_p ())
7525 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7526 "not SLPed: unsupported data-type ");
7527 dump_generic_expr (MSG_MISSED_OPTIMIZATION, TDF_SLIM,
7528 scalar_type);
7529 dump_printf (MSG_MISSED_OPTIMIZATION, "\n");
7531 return false;
7534 if (dump_enabled_p ())
7536 dump_printf_loc (MSG_NOTE, vect_location, "vectype: ");
7537 dump_generic_expr (MSG_NOTE, TDF_SLIM, vectype);
7538 dump_printf (MSG_NOTE, "\n");
7541 STMT_VINFO_VECTYPE (stmt_info) = vectype;
7544 if (STMT_VINFO_RELEVANT_P (stmt_info))
7546 gcc_assert (!VECTOR_MODE_P (TYPE_MODE (gimple_expr_type (stmt))));
7547 gcc_assert (STMT_VINFO_VECTYPE (stmt_info)
7548 || (is_gimple_call (stmt)
7549 && gimple_call_lhs (stmt) == NULL_TREE));
7550 *need_to_vectorize = true;
7553 if (PURE_SLP_STMT (stmt_info) && !node)
7555 dump_printf_loc (MSG_NOTE, vect_location,
7556 "handled only by SLP analysis\n");
7557 return true;
7560 ok = true;
7561 if (!bb_vinfo
7562 && (STMT_VINFO_RELEVANT_P (stmt_info)
7563 || STMT_VINFO_DEF_TYPE (stmt_info) == vect_reduction_def))
7564 ok = (vectorizable_simd_clone_call (stmt, NULL, NULL, node)
7565 || vectorizable_conversion (stmt, NULL, NULL, node)
7566 || vectorizable_shift (stmt, NULL, NULL, node)
7567 || vectorizable_operation (stmt, NULL, NULL, node)
7568 || vectorizable_assignment (stmt, NULL, NULL, node)
7569 || vectorizable_load (stmt, NULL, NULL, node, NULL)
7570 || vectorizable_call (stmt, NULL, NULL, node)
7571 || vectorizable_store (stmt, NULL, NULL, node)
7572 || vectorizable_reduction (stmt, NULL, NULL, node)
7573 || vectorizable_condition (stmt, NULL, NULL, NULL, 0, node));
7574 else
7576 if (bb_vinfo)
7577 ok = (vectorizable_simd_clone_call (stmt, NULL, NULL, node)
7578 || vectorizable_conversion (stmt, NULL, NULL, node)
7579 || vectorizable_shift (stmt, NULL, NULL, node)
7580 || vectorizable_operation (stmt, NULL, NULL, node)
7581 || vectorizable_assignment (stmt, NULL, NULL, node)
7582 || vectorizable_load (stmt, NULL, NULL, node, NULL)
7583 || vectorizable_call (stmt, NULL, NULL, node)
7584 || vectorizable_store (stmt, NULL, NULL, node)
7585 || vectorizable_condition (stmt, NULL, NULL, NULL, 0, node));
7588 if (!ok)
7590 if (dump_enabled_p ())
7592 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7593 "not vectorized: relevant stmt not ");
7594 dump_printf (MSG_MISSED_OPTIMIZATION, "supported: ");
7595 dump_gimple_stmt (MSG_MISSED_OPTIMIZATION, TDF_SLIM, stmt, 0);
7598 return false;
7601 if (bb_vinfo)
7602 return true;
7604 /* Stmts that are (also) "live" (i.e. - that are used out of the loop)
7605 need extra handling, except for vectorizable reductions. */
7606 if (STMT_VINFO_LIVE_P (stmt_info)
7607 && STMT_VINFO_TYPE (stmt_info) != reduc_vec_info_type)
7608 ok = vectorizable_live_operation (stmt, NULL, NULL);
7610 if (!ok)
7612 if (dump_enabled_p ())
7614 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7615 "not vectorized: live stmt not ");
7616 dump_printf (MSG_MISSED_OPTIMIZATION, "supported: ");
7617 dump_gimple_stmt (MSG_MISSED_OPTIMIZATION, TDF_SLIM, stmt, 0);
7620 return false;
7623 return true;
7627 /* Function vect_transform_stmt.
7629 Create a vectorized stmt to replace STMT, and insert it at BSI. */
7631 bool
7632 vect_transform_stmt (gimple stmt, gimple_stmt_iterator *gsi,
7633 bool *grouped_store, slp_tree slp_node,
7634 slp_instance slp_node_instance)
7636 bool is_store = false;
7637 gimple vec_stmt = NULL;
7638 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
7639 bool done;
7641 gimple old_vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
7643 switch (STMT_VINFO_TYPE (stmt_info))
7645 case type_demotion_vec_info_type:
7646 case type_promotion_vec_info_type:
7647 case type_conversion_vec_info_type:
7648 done = vectorizable_conversion (stmt, gsi, &vec_stmt, slp_node);
7649 gcc_assert (done);
7650 break;
7652 case induc_vec_info_type:
7653 gcc_assert (!slp_node);
7654 done = vectorizable_induction (stmt, gsi, &vec_stmt);
7655 gcc_assert (done);
7656 break;
7658 case shift_vec_info_type:
7659 done = vectorizable_shift (stmt, gsi, &vec_stmt, slp_node);
7660 gcc_assert (done);
7661 break;
7663 case op_vec_info_type:
7664 done = vectorizable_operation (stmt, gsi, &vec_stmt, slp_node);
7665 gcc_assert (done);
7666 break;
7668 case assignment_vec_info_type:
7669 done = vectorizable_assignment (stmt, gsi, &vec_stmt, slp_node);
7670 gcc_assert (done);
7671 break;
7673 case load_vec_info_type:
7674 done = vectorizable_load (stmt, gsi, &vec_stmt, slp_node,
7675 slp_node_instance);
7676 gcc_assert (done);
7677 break;
7679 case store_vec_info_type:
7680 done = vectorizable_store (stmt, gsi, &vec_stmt, slp_node);
7681 gcc_assert (done);
7682 if (STMT_VINFO_GROUPED_ACCESS (stmt_info) && !slp_node)
7684 /* In case of interleaving, the whole chain is vectorized when the
7685 last store in the chain is reached. Store stmts before the last
7686 one are skipped, and there vec_stmt_info shouldn't be freed
7687 meanwhile. */
7688 *grouped_store = true;
7689 if (STMT_VINFO_VEC_STMT (stmt_info))
7690 is_store = true;
7692 else
7693 is_store = true;
7694 break;
7696 case condition_vec_info_type:
7697 done = vectorizable_condition (stmt, gsi, &vec_stmt, NULL, 0, slp_node);
7698 gcc_assert (done);
7699 break;
7701 case call_vec_info_type:
7702 done = vectorizable_call (stmt, gsi, &vec_stmt, slp_node);
7703 stmt = gsi_stmt (*gsi);
7704 if (is_gimple_call (stmt)
7705 && gimple_call_internal_p (stmt)
7706 && gimple_call_internal_fn (stmt) == IFN_MASK_STORE)
7707 is_store = true;
7708 break;
7710 case call_simd_clone_vec_info_type:
7711 done = vectorizable_simd_clone_call (stmt, gsi, &vec_stmt, slp_node);
7712 stmt = gsi_stmt (*gsi);
7713 break;
7715 case reduc_vec_info_type:
7716 done = vectorizable_reduction (stmt, gsi, &vec_stmt, slp_node);
7717 gcc_assert (done);
7718 break;
7720 default:
7721 if (!STMT_VINFO_LIVE_P (stmt_info))
7723 if (dump_enabled_p ())
7724 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7725 "stmt not supported.\n");
7726 gcc_unreachable ();
7730 /* Verify SLP vectorization doesn't mess with STMT_VINFO_VEC_STMT.
7731 This would break hybrid SLP vectorization. */
7732 if (slp_node)
7733 gcc_assert (!vec_stmt
7734 && STMT_VINFO_VEC_STMT (stmt_info) == old_vec_stmt);
7736 /* Handle inner-loop stmts whose DEF is used in the loop-nest that
7737 is being vectorized, but outside the immediately enclosing loop. */
7738 if (vec_stmt
7739 && STMT_VINFO_LOOP_VINFO (stmt_info)
7740 && nested_in_vect_loop_p (LOOP_VINFO_LOOP (
7741 STMT_VINFO_LOOP_VINFO (stmt_info)), stmt)
7742 && STMT_VINFO_TYPE (stmt_info) != reduc_vec_info_type
7743 && (STMT_VINFO_RELEVANT (stmt_info) == vect_used_in_outer
7744 || STMT_VINFO_RELEVANT (stmt_info) ==
7745 vect_used_in_outer_by_reduction))
7747 struct loop *innerloop = LOOP_VINFO_LOOP (
7748 STMT_VINFO_LOOP_VINFO (stmt_info))->inner;
7749 imm_use_iterator imm_iter;
7750 use_operand_p use_p;
7751 tree scalar_dest;
7752 gimple exit_phi;
7754 if (dump_enabled_p ())
7755 dump_printf_loc (MSG_NOTE, vect_location,
7756 "Record the vdef for outer-loop vectorization.\n");
7758 /* Find the relevant loop-exit phi-node, and reord the vec_stmt there
7759 (to be used when vectorizing outer-loop stmts that use the DEF of
7760 STMT). */
7761 if (gimple_code (stmt) == GIMPLE_PHI)
7762 scalar_dest = PHI_RESULT (stmt);
7763 else
7764 scalar_dest = gimple_assign_lhs (stmt);
7766 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, scalar_dest)
7768 if (!flow_bb_inside_loop_p (innerloop, gimple_bb (USE_STMT (use_p))))
7770 exit_phi = USE_STMT (use_p);
7771 STMT_VINFO_VEC_STMT (vinfo_for_stmt (exit_phi)) = vec_stmt;
7776 /* Handle stmts whose DEF is used outside the loop-nest that is
7777 being vectorized. */
7778 if (STMT_VINFO_LIVE_P (stmt_info)
7779 && STMT_VINFO_TYPE (stmt_info) != reduc_vec_info_type)
7781 done = vectorizable_live_operation (stmt, gsi, &vec_stmt);
7782 gcc_assert (done);
7785 if (vec_stmt)
7786 STMT_VINFO_VEC_STMT (stmt_info) = vec_stmt;
7788 return is_store;
7792 /* Remove a group of stores (for SLP or interleaving), free their
7793 stmt_vec_info. */
7795 void
7796 vect_remove_stores (gimple first_stmt)
7798 gimple next = first_stmt;
7799 gimple tmp;
7800 gimple_stmt_iterator next_si;
7802 while (next)
7804 stmt_vec_info stmt_info = vinfo_for_stmt (next);
7806 tmp = GROUP_NEXT_ELEMENT (stmt_info);
7807 if (is_pattern_stmt_p (stmt_info))
7808 next = STMT_VINFO_RELATED_STMT (stmt_info);
7809 /* Free the attached stmt_vec_info and remove the stmt. */
7810 next_si = gsi_for_stmt (next);
7811 unlink_stmt_vdef (next);
7812 gsi_remove (&next_si, true);
7813 release_defs (next);
7814 free_stmt_vec_info (next);
7815 next = tmp;
7820 /* Function new_stmt_vec_info.
7822 Create and initialize a new stmt_vec_info struct for STMT. */
7824 stmt_vec_info
7825 new_stmt_vec_info (gimple stmt, loop_vec_info loop_vinfo,
7826 bb_vec_info bb_vinfo)
7828 stmt_vec_info res;
7829 res = (stmt_vec_info) xcalloc (1, sizeof (struct _stmt_vec_info));
7831 STMT_VINFO_TYPE (res) = undef_vec_info_type;
7832 STMT_VINFO_STMT (res) = stmt;
7833 STMT_VINFO_LOOP_VINFO (res) = loop_vinfo;
7834 STMT_VINFO_BB_VINFO (res) = bb_vinfo;
7835 STMT_VINFO_RELEVANT (res) = vect_unused_in_scope;
7836 STMT_VINFO_LIVE_P (res) = false;
7837 STMT_VINFO_VECTYPE (res) = NULL;
7838 STMT_VINFO_VEC_STMT (res) = NULL;
7839 STMT_VINFO_VECTORIZABLE (res) = true;
7840 STMT_VINFO_IN_PATTERN_P (res) = false;
7841 STMT_VINFO_RELATED_STMT (res) = NULL;
7842 STMT_VINFO_PATTERN_DEF_SEQ (res) = NULL;
7843 STMT_VINFO_DATA_REF (res) = NULL;
7845 STMT_VINFO_DR_BASE_ADDRESS (res) = NULL;
7846 STMT_VINFO_DR_OFFSET (res) = NULL;
7847 STMT_VINFO_DR_INIT (res) = NULL;
7848 STMT_VINFO_DR_STEP (res) = NULL;
7849 STMT_VINFO_DR_ALIGNED_TO (res) = NULL;
7851 if (gimple_code (stmt) == GIMPLE_PHI
7852 && is_loop_header_bb_p (gimple_bb (stmt)))
7853 STMT_VINFO_DEF_TYPE (res) = vect_unknown_def_type;
7854 else
7855 STMT_VINFO_DEF_TYPE (res) = vect_internal_def;
7857 STMT_VINFO_SAME_ALIGN_REFS (res).create (0);
7858 STMT_SLP_TYPE (res) = loop_vect;
7859 GROUP_FIRST_ELEMENT (res) = NULL;
7860 GROUP_NEXT_ELEMENT (res) = NULL;
7861 GROUP_SIZE (res) = 0;
7862 GROUP_STORE_COUNT (res) = 0;
7863 GROUP_GAP (res) = 0;
7864 GROUP_SAME_DR_STMT (res) = NULL;
7866 return res;
7870 /* Create a hash table for stmt_vec_info. */
7872 void
7873 init_stmt_vec_info_vec (void)
7875 gcc_assert (!stmt_vec_info_vec.exists ());
7876 stmt_vec_info_vec.create (50);
7880 /* Free hash table for stmt_vec_info. */
7882 void
7883 free_stmt_vec_info_vec (void)
7885 unsigned int i;
7886 vec_void_p info;
7887 FOR_EACH_VEC_ELT (stmt_vec_info_vec, i, info)
7888 if (info != NULL)
7889 free_stmt_vec_info (STMT_VINFO_STMT ((stmt_vec_info) info));
7890 gcc_assert (stmt_vec_info_vec.exists ());
7891 stmt_vec_info_vec.release ();
7895 /* Free stmt vectorization related info. */
7897 void
7898 free_stmt_vec_info (gimple stmt)
7900 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
7902 if (!stmt_info)
7903 return;
7905 /* Check if this statement has a related "pattern stmt"
7906 (introduced by the vectorizer during the pattern recognition
7907 pass). Free pattern's stmt_vec_info and def stmt's stmt_vec_info
7908 too. */
7909 if (STMT_VINFO_IN_PATTERN_P (stmt_info))
7911 stmt_vec_info patt_info
7912 = vinfo_for_stmt (STMT_VINFO_RELATED_STMT (stmt_info));
7913 if (patt_info)
7915 gimple_seq seq = STMT_VINFO_PATTERN_DEF_SEQ (patt_info);
7916 gimple patt_stmt = STMT_VINFO_STMT (patt_info);
7917 gimple_set_bb (patt_stmt, NULL);
7918 tree lhs = gimple_get_lhs (patt_stmt);
7919 if (TREE_CODE (lhs) == SSA_NAME)
7920 release_ssa_name (lhs);
7921 if (seq)
7923 gimple_stmt_iterator si;
7924 for (si = gsi_start (seq); !gsi_end_p (si); gsi_next (&si))
7926 gimple seq_stmt = gsi_stmt (si);
7927 gimple_set_bb (seq_stmt, NULL);
7928 lhs = gimple_get_lhs (patt_stmt);
7929 if (TREE_CODE (lhs) == SSA_NAME)
7930 release_ssa_name (lhs);
7931 free_stmt_vec_info (seq_stmt);
7934 free_stmt_vec_info (patt_stmt);
7938 STMT_VINFO_SAME_ALIGN_REFS (stmt_info).release ();
7939 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).release ();
7940 set_vinfo_for_stmt (stmt, NULL);
7941 free (stmt_info);
7945 /* Function get_vectype_for_scalar_type_and_size.
7947 Returns the vector type corresponding to SCALAR_TYPE and SIZE as supported
7948 by the target. */
7950 static tree
7951 get_vectype_for_scalar_type_and_size (tree scalar_type, unsigned size)
7953 machine_mode inner_mode = TYPE_MODE (scalar_type);
7954 machine_mode simd_mode;
7955 unsigned int nbytes = GET_MODE_SIZE (inner_mode);
7956 int nunits;
7957 tree vectype;
7959 if (nbytes == 0)
7960 return NULL_TREE;
7962 if (GET_MODE_CLASS (inner_mode) != MODE_INT
7963 && GET_MODE_CLASS (inner_mode) != MODE_FLOAT)
7964 return NULL_TREE;
7966 /* For vector types of elements whose mode precision doesn't
7967 match their types precision we use a element type of mode
7968 precision. The vectorization routines will have to make sure
7969 they support the proper result truncation/extension.
7970 We also make sure to build vector types with INTEGER_TYPE
7971 component type only. */
7972 if (INTEGRAL_TYPE_P (scalar_type)
7973 && (GET_MODE_BITSIZE (inner_mode) != TYPE_PRECISION (scalar_type)
7974 || TREE_CODE (scalar_type) != INTEGER_TYPE))
7975 scalar_type = build_nonstandard_integer_type (GET_MODE_BITSIZE (inner_mode),
7976 TYPE_UNSIGNED (scalar_type));
7978 /* We shouldn't end up building VECTOR_TYPEs of non-scalar components.
7979 When the component mode passes the above test simply use a type
7980 corresponding to that mode. The theory is that any use that
7981 would cause problems with this will disable vectorization anyway. */
7982 else if (!SCALAR_FLOAT_TYPE_P (scalar_type)
7983 && !INTEGRAL_TYPE_P (scalar_type))
7984 scalar_type = lang_hooks.types.type_for_mode (inner_mode, 1);
7986 /* We can't build a vector type of elements with alignment bigger than
7987 their size. */
7988 else if (nbytes < TYPE_ALIGN_UNIT (scalar_type))
7989 scalar_type = lang_hooks.types.type_for_mode (inner_mode,
7990 TYPE_UNSIGNED (scalar_type));
7992 /* If we felt back to using the mode fail if there was
7993 no scalar type for it. */
7994 if (scalar_type == NULL_TREE)
7995 return NULL_TREE;
7997 /* If no size was supplied use the mode the target prefers. Otherwise
7998 lookup a vector mode of the specified size. */
7999 if (size == 0)
8000 simd_mode = targetm.vectorize.preferred_simd_mode (inner_mode);
8001 else
8002 simd_mode = mode_for_vector (inner_mode, size / nbytes);
8003 nunits = GET_MODE_SIZE (simd_mode) / nbytes;
8004 if (nunits <= 1)
8005 return NULL_TREE;
8007 vectype = build_vector_type (scalar_type, nunits);
8009 if (!VECTOR_MODE_P (TYPE_MODE (vectype))
8010 && !INTEGRAL_MODE_P (TYPE_MODE (vectype)))
8011 return NULL_TREE;
8013 return vectype;
8016 unsigned int current_vector_size;
8018 /* Function get_vectype_for_scalar_type.
8020 Returns the vector type corresponding to SCALAR_TYPE as supported
8021 by the target. */
8023 tree
8024 get_vectype_for_scalar_type (tree scalar_type)
8026 tree vectype;
8027 vectype = get_vectype_for_scalar_type_and_size (scalar_type,
8028 current_vector_size);
8029 if (vectype
8030 && current_vector_size == 0)
8031 current_vector_size = GET_MODE_SIZE (TYPE_MODE (vectype));
8032 return vectype;
8035 /* Function get_same_sized_vectype
8037 Returns a vector type corresponding to SCALAR_TYPE of size
8038 VECTOR_TYPE if supported by the target. */
8040 tree
8041 get_same_sized_vectype (tree scalar_type, tree vector_type)
8043 return get_vectype_for_scalar_type_and_size
8044 (scalar_type, GET_MODE_SIZE (TYPE_MODE (vector_type)));
8047 /* Function vect_is_simple_use.
8049 Input:
8050 LOOP_VINFO - the vect info of the loop that is being vectorized.
8051 BB_VINFO - the vect info of the basic block that is being vectorized.
8052 OPERAND - operand of STMT in the loop or bb.
8053 DEF - the defining stmt in case OPERAND is an SSA_NAME.
8055 Returns whether a stmt with OPERAND can be vectorized.
8056 For loops, supportable operands are constants, loop invariants, and operands
8057 that are defined by the current iteration of the loop. Unsupportable
8058 operands are those that are defined by a previous iteration of the loop (as
8059 is the case in reduction/induction computations).
8060 For basic blocks, supportable operands are constants and bb invariants.
8061 For now, operands defined outside the basic block are not supported. */
8063 bool
8064 vect_is_simple_use (tree operand, gimple stmt, loop_vec_info loop_vinfo,
8065 bb_vec_info bb_vinfo, gimple *def_stmt,
8066 tree *def, enum vect_def_type *dt)
8068 *def_stmt = NULL;
8069 *def = NULL_TREE;
8070 *dt = vect_unknown_def_type;
8072 if (dump_enabled_p ())
8074 dump_printf_loc (MSG_NOTE, vect_location,
8075 "vect_is_simple_use: operand ");
8076 dump_generic_expr (MSG_NOTE, TDF_SLIM, operand);
8077 dump_printf (MSG_NOTE, "\n");
8080 if (CONSTANT_CLASS_P (operand))
8082 *dt = vect_constant_def;
8083 return true;
8086 if (is_gimple_min_invariant (operand))
8088 *def = operand;
8089 *dt = vect_external_def;
8090 return true;
8093 if (TREE_CODE (operand) != SSA_NAME)
8095 if (dump_enabled_p ())
8096 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
8097 "not ssa-name.\n");
8098 return false;
8101 if (SSA_NAME_IS_DEFAULT_DEF (operand))
8103 *def = operand;
8104 *dt = vect_external_def;
8105 return true;
8108 *def_stmt = SSA_NAME_DEF_STMT (operand);
8109 if (dump_enabled_p ())
8111 dump_printf_loc (MSG_NOTE, vect_location, "def_stmt: ");
8112 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, *def_stmt, 0);
8115 basic_block bb = gimple_bb (*def_stmt);
8116 if ((loop_vinfo && !flow_bb_inside_loop_p (LOOP_VINFO_LOOP (loop_vinfo), bb))
8117 || (bb_vinfo
8118 && (bb != BB_VINFO_BB (bb_vinfo)
8119 || gimple_code (*def_stmt) == GIMPLE_PHI)))
8120 *dt = vect_external_def;
8121 else
8123 stmt_vec_info stmt_vinfo = vinfo_for_stmt (*def_stmt);
8124 if (bb_vinfo && !STMT_VINFO_VECTORIZABLE (stmt_vinfo))
8125 *dt = vect_external_def;
8126 else
8127 *dt = STMT_VINFO_DEF_TYPE (stmt_vinfo);
8130 if (dump_enabled_p ())
8132 dump_printf_loc (MSG_NOTE, vect_location, "type of def: ");
8133 switch (*dt)
8135 case vect_uninitialized_def:
8136 dump_printf (MSG_NOTE, "uninitialized\n");
8137 break;
8138 case vect_constant_def:
8139 dump_printf (MSG_NOTE, "constant\n");
8140 break;
8141 case vect_external_def:
8142 dump_printf (MSG_NOTE, "external\n");
8143 break;
8144 case vect_internal_def:
8145 dump_printf (MSG_NOTE, "internal\n");
8146 break;
8147 case vect_induction_def:
8148 dump_printf (MSG_NOTE, "induction\n");
8149 break;
8150 case vect_reduction_def:
8151 dump_printf (MSG_NOTE, "reduction\n");
8152 break;
8153 case vect_double_reduction_def:
8154 dump_printf (MSG_NOTE, "double reduction\n");
8155 break;
8156 case vect_nested_cycle:
8157 dump_printf (MSG_NOTE, "nested cycle\n");
8158 break;
8159 case vect_unknown_def_type:
8160 dump_printf (MSG_NOTE, "unknown\n");
8161 break;
8165 if (*dt == vect_unknown_def_type
8166 || (stmt
8167 && *dt == vect_double_reduction_def
8168 && gimple_code (stmt) != GIMPLE_PHI))
8170 if (dump_enabled_p ())
8171 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
8172 "Unsupported pattern.\n");
8173 return false;
8176 switch (gimple_code (*def_stmt))
8178 case GIMPLE_PHI:
8179 *def = gimple_phi_result (*def_stmt);
8180 break;
8182 case GIMPLE_ASSIGN:
8183 *def = gimple_assign_lhs (*def_stmt);
8184 break;
8186 case GIMPLE_CALL:
8187 *def = gimple_call_lhs (*def_stmt);
8188 if (*def != NULL)
8189 break;
8190 /* FALLTHRU */
8191 default:
8192 if (dump_enabled_p ())
8193 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
8194 "unsupported defining stmt:\n");
8195 return false;
8198 return true;
8201 /* Function vect_is_simple_use_1.
8203 Same as vect_is_simple_use_1 but also determines the vector operand
8204 type of OPERAND and stores it to *VECTYPE. If the definition of
8205 OPERAND is vect_uninitialized_def, vect_constant_def or
8206 vect_external_def *VECTYPE will be set to NULL_TREE and the caller
8207 is responsible to compute the best suited vector type for the
8208 scalar operand. */
8210 bool
8211 vect_is_simple_use_1 (tree operand, gimple stmt, loop_vec_info loop_vinfo,
8212 bb_vec_info bb_vinfo, gimple *def_stmt,
8213 tree *def, enum vect_def_type *dt, tree *vectype)
8215 if (!vect_is_simple_use (operand, stmt, loop_vinfo, bb_vinfo, def_stmt,
8216 def, dt))
8217 return false;
8219 /* Now get a vector type if the def is internal, otherwise supply
8220 NULL_TREE and leave it up to the caller to figure out a proper
8221 type for the use stmt. */
8222 if (*dt == vect_internal_def
8223 || *dt == vect_induction_def
8224 || *dt == vect_reduction_def
8225 || *dt == vect_double_reduction_def
8226 || *dt == vect_nested_cycle)
8228 stmt_vec_info stmt_info = vinfo_for_stmt (*def_stmt);
8230 if (STMT_VINFO_IN_PATTERN_P (stmt_info)
8231 && !STMT_VINFO_RELEVANT (stmt_info)
8232 && !STMT_VINFO_LIVE_P (stmt_info))
8233 stmt_info = vinfo_for_stmt (STMT_VINFO_RELATED_STMT (stmt_info));
8235 *vectype = STMT_VINFO_VECTYPE (stmt_info);
8236 gcc_assert (*vectype != NULL_TREE);
8238 else if (*dt == vect_uninitialized_def
8239 || *dt == vect_constant_def
8240 || *dt == vect_external_def)
8241 *vectype = NULL_TREE;
8242 else
8243 gcc_unreachable ();
8245 return true;
8249 /* Function supportable_widening_operation
8251 Check whether an operation represented by the code CODE is a
8252 widening operation that is supported by the target platform in
8253 vector form (i.e., when operating on arguments of type VECTYPE_IN
8254 producing a result of type VECTYPE_OUT).
8256 Widening operations we currently support are NOP (CONVERT), FLOAT
8257 and WIDEN_MULT. This function checks if these operations are supported
8258 by the target platform either directly (via vector tree-codes), or via
8259 target builtins.
8261 Output:
8262 - CODE1 and CODE2 are codes of vector operations to be used when
8263 vectorizing the operation, if available.
8264 - MULTI_STEP_CVT determines the number of required intermediate steps in
8265 case of multi-step conversion (like char->short->int - in that case
8266 MULTI_STEP_CVT will be 1).
8267 - INTERM_TYPES contains the intermediate type required to perform the
8268 widening operation (short in the above example). */
8270 bool
8271 supportable_widening_operation (enum tree_code code, gimple stmt,
8272 tree vectype_out, tree vectype_in,
8273 enum tree_code *code1, enum tree_code *code2,
8274 int *multi_step_cvt,
8275 vec<tree> *interm_types)
8277 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
8278 loop_vec_info loop_info = STMT_VINFO_LOOP_VINFO (stmt_info);
8279 struct loop *vect_loop = NULL;
8280 machine_mode vec_mode;
8281 enum insn_code icode1, icode2;
8282 optab optab1, optab2;
8283 tree vectype = vectype_in;
8284 tree wide_vectype = vectype_out;
8285 enum tree_code c1, c2;
8286 int i;
8287 tree prev_type, intermediate_type;
8288 machine_mode intermediate_mode, prev_mode;
8289 optab optab3, optab4;
8291 *multi_step_cvt = 0;
8292 if (loop_info)
8293 vect_loop = LOOP_VINFO_LOOP (loop_info);
8295 switch (code)
8297 case WIDEN_MULT_EXPR:
8298 /* The result of a vectorized widening operation usually requires
8299 two vectors (because the widened results do not fit into one vector).
8300 The generated vector results would normally be expected to be
8301 generated in the same order as in the original scalar computation,
8302 i.e. if 8 results are generated in each vector iteration, they are
8303 to be organized as follows:
8304 vect1: [res1,res2,res3,res4],
8305 vect2: [res5,res6,res7,res8].
8307 However, in the special case that the result of the widening
8308 operation is used in a reduction computation only, the order doesn't
8309 matter (because when vectorizing a reduction we change the order of
8310 the computation). Some targets can take advantage of this and
8311 generate more efficient code. For example, targets like Altivec,
8312 that support widen_mult using a sequence of {mult_even,mult_odd}
8313 generate the following vectors:
8314 vect1: [res1,res3,res5,res7],
8315 vect2: [res2,res4,res6,res8].
8317 When vectorizing outer-loops, we execute the inner-loop sequentially
8318 (each vectorized inner-loop iteration contributes to VF outer-loop
8319 iterations in parallel). We therefore don't allow to change the
8320 order of the computation in the inner-loop during outer-loop
8321 vectorization. */
8322 /* TODO: Another case in which order doesn't *really* matter is when we
8323 widen and then contract again, e.g. (short)((int)x * y >> 8).
8324 Normally, pack_trunc performs an even/odd permute, whereas the
8325 repack from an even/odd expansion would be an interleave, which
8326 would be significantly simpler for e.g. AVX2. */
8327 /* In any case, in order to avoid duplicating the code below, recurse
8328 on VEC_WIDEN_MULT_EVEN_EXPR. If it succeeds, all the return values
8329 are properly set up for the caller. If we fail, we'll continue with
8330 a VEC_WIDEN_MULT_LO/HI_EXPR check. */
8331 if (vect_loop
8332 && STMT_VINFO_RELEVANT (stmt_info) == vect_used_by_reduction
8333 && !nested_in_vect_loop_p (vect_loop, stmt)
8334 && supportable_widening_operation (VEC_WIDEN_MULT_EVEN_EXPR,
8335 stmt, vectype_out, vectype_in,
8336 code1, code2, multi_step_cvt,
8337 interm_types))
8339 /* Elements in a vector with vect_used_by_reduction property cannot
8340 be reordered if the use chain with this property does not have the
8341 same operation. One such an example is s += a * b, where elements
8342 in a and b cannot be reordered. Here we check if the vector defined
8343 by STMT is only directly used in the reduction statement. */
8344 tree lhs = gimple_assign_lhs (stmt);
8345 use_operand_p dummy;
8346 gimple use_stmt;
8347 stmt_vec_info use_stmt_info = NULL;
8348 if (single_imm_use (lhs, &dummy, &use_stmt)
8349 && (use_stmt_info = vinfo_for_stmt (use_stmt))
8350 && STMT_VINFO_DEF_TYPE (use_stmt_info) == vect_reduction_def)
8351 return true;
8353 c1 = VEC_WIDEN_MULT_LO_EXPR;
8354 c2 = VEC_WIDEN_MULT_HI_EXPR;
8355 break;
8357 case VEC_WIDEN_MULT_EVEN_EXPR:
8358 /* Support the recursion induced just above. */
8359 c1 = VEC_WIDEN_MULT_EVEN_EXPR;
8360 c2 = VEC_WIDEN_MULT_ODD_EXPR;
8361 break;
8363 case WIDEN_LSHIFT_EXPR:
8364 c1 = VEC_WIDEN_LSHIFT_LO_EXPR;
8365 c2 = VEC_WIDEN_LSHIFT_HI_EXPR;
8366 break;
8368 CASE_CONVERT:
8369 c1 = VEC_UNPACK_LO_EXPR;
8370 c2 = VEC_UNPACK_HI_EXPR;
8371 break;
8373 case FLOAT_EXPR:
8374 c1 = VEC_UNPACK_FLOAT_LO_EXPR;
8375 c2 = VEC_UNPACK_FLOAT_HI_EXPR;
8376 break;
8378 case FIX_TRUNC_EXPR:
8379 /* ??? Not yet implemented due to missing VEC_UNPACK_FIX_TRUNC_HI_EXPR/
8380 VEC_UNPACK_FIX_TRUNC_LO_EXPR tree codes and optabs used for
8381 computing the operation. */
8382 return false;
8384 default:
8385 gcc_unreachable ();
8388 if (BYTES_BIG_ENDIAN && c1 != VEC_WIDEN_MULT_EVEN_EXPR)
8389 std::swap (c1, c2);
8391 if (code == FIX_TRUNC_EXPR)
8393 /* The signedness is determined from output operand. */
8394 optab1 = optab_for_tree_code (c1, vectype_out, optab_default);
8395 optab2 = optab_for_tree_code (c2, vectype_out, optab_default);
8397 else
8399 optab1 = optab_for_tree_code (c1, vectype, optab_default);
8400 optab2 = optab_for_tree_code (c2, vectype, optab_default);
8403 if (!optab1 || !optab2)
8404 return false;
8406 vec_mode = TYPE_MODE (vectype);
8407 if ((icode1 = optab_handler (optab1, vec_mode)) == CODE_FOR_nothing
8408 || (icode2 = optab_handler (optab2, vec_mode)) == CODE_FOR_nothing)
8409 return false;
8411 *code1 = c1;
8412 *code2 = c2;
8414 if (insn_data[icode1].operand[0].mode == TYPE_MODE (wide_vectype)
8415 && insn_data[icode2].operand[0].mode == TYPE_MODE (wide_vectype))
8416 return true;
8418 /* Check if it's a multi-step conversion that can be done using intermediate
8419 types. */
8421 prev_type = vectype;
8422 prev_mode = vec_mode;
8424 if (!CONVERT_EXPR_CODE_P (code))
8425 return false;
8427 /* We assume here that there will not be more than MAX_INTERM_CVT_STEPS
8428 intermediate steps in promotion sequence. We try
8429 MAX_INTERM_CVT_STEPS to get to NARROW_VECTYPE, and fail if we do
8430 not. */
8431 interm_types->create (MAX_INTERM_CVT_STEPS);
8432 for (i = 0; i < MAX_INTERM_CVT_STEPS; i++)
8434 intermediate_mode = insn_data[icode1].operand[0].mode;
8435 intermediate_type
8436 = lang_hooks.types.type_for_mode (intermediate_mode,
8437 TYPE_UNSIGNED (prev_type));
8438 optab3 = optab_for_tree_code (c1, intermediate_type, optab_default);
8439 optab4 = optab_for_tree_code (c2, intermediate_type, optab_default);
8441 if (!optab3 || !optab4
8442 || (icode1 = optab_handler (optab1, prev_mode)) == CODE_FOR_nothing
8443 || insn_data[icode1].operand[0].mode != intermediate_mode
8444 || (icode2 = optab_handler (optab2, prev_mode)) == CODE_FOR_nothing
8445 || insn_data[icode2].operand[0].mode != intermediate_mode
8446 || ((icode1 = optab_handler (optab3, intermediate_mode))
8447 == CODE_FOR_nothing)
8448 || ((icode2 = optab_handler (optab4, intermediate_mode))
8449 == CODE_FOR_nothing))
8450 break;
8452 interm_types->quick_push (intermediate_type);
8453 (*multi_step_cvt)++;
8455 if (insn_data[icode1].operand[0].mode == TYPE_MODE (wide_vectype)
8456 && insn_data[icode2].operand[0].mode == TYPE_MODE (wide_vectype))
8457 return true;
8459 prev_type = intermediate_type;
8460 prev_mode = intermediate_mode;
8463 interm_types->release ();
8464 return false;
8468 /* Function supportable_narrowing_operation
8470 Check whether an operation represented by the code CODE is a
8471 narrowing operation that is supported by the target platform in
8472 vector form (i.e., when operating on arguments of type VECTYPE_IN
8473 and producing a result of type VECTYPE_OUT).
8475 Narrowing operations we currently support are NOP (CONVERT) and
8476 FIX_TRUNC. This function checks if these operations are supported by
8477 the target platform directly via vector tree-codes.
8479 Output:
8480 - CODE1 is the code of a vector operation to be used when
8481 vectorizing the operation, if available.
8482 - MULTI_STEP_CVT determines the number of required intermediate steps in
8483 case of multi-step conversion (like int->short->char - in that case
8484 MULTI_STEP_CVT will be 1).
8485 - INTERM_TYPES contains the intermediate type required to perform the
8486 narrowing operation (short in the above example). */
8488 bool
8489 supportable_narrowing_operation (enum tree_code code,
8490 tree vectype_out, tree vectype_in,
8491 enum tree_code *code1, int *multi_step_cvt,
8492 vec<tree> *interm_types)
8494 machine_mode vec_mode;
8495 enum insn_code icode1;
8496 optab optab1, interm_optab;
8497 tree vectype = vectype_in;
8498 tree narrow_vectype = vectype_out;
8499 enum tree_code c1;
8500 tree intermediate_type;
8501 machine_mode intermediate_mode, prev_mode;
8502 int i;
8503 bool uns;
8505 *multi_step_cvt = 0;
8506 switch (code)
8508 CASE_CONVERT:
8509 c1 = VEC_PACK_TRUNC_EXPR;
8510 break;
8512 case FIX_TRUNC_EXPR:
8513 c1 = VEC_PACK_FIX_TRUNC_EXPR;
8514 break;
8516 case FLOAT_EXPR:
8517 /* ??? Not yet implemented due to missing VEC_PACK_FLOAT_EXPR
8518 tree code and optabs used for computing the operation. */
8519 return false;
8521 default:
8522 gcc_unreachable ();
8525 if (code == FIX_TRUNC_EXPR)
8526 /* The signedness is determined from output operand. */
8527 optab1 = optab_for_tree_code (c1, vectype_out, optab_default);
8528 else
8529 optab1 = optab_for_tree_code (c1, vectype, optab_default);
8531 if (!optab1)
8532 return false;
8534 vec_mode = TYPE_MODE (vectype);
8535 if ((icode1 = optab_handler (optab1, vec_mode)) == CODE_FOR_nothing)
8536 return false;
8538 *code1 = c1;
8540 if (insn_data[icode1].operand[0].mode == TYPE_MODE (narrow_vectype))
8541 return true;
8543 /* Check if it's a multi-step conversion that can be done using intermediate
8544 types. */
8545 prev_mode = vec_mode;
8546 if (code == FIX_TRUNC_EXPR)
8547 uns = TYPE_UNSIGNED (vectype_out);
8548 else
8549 uns = TYPE_UNSIGNED (vectype);
8551 /* For multi-step FIX_TRUNC_EXPR prefer signed floating to integer
8552 conversion over unsigned, as unsigned FIX_TRUNC_EXPR is often more
8553 costly than signed. */
8554 if (code == FIX_TRUNC_EXPR && uns)
8556 enum insn_code icode2;
8558 intermediate_type
8559 = lang_hooks.types.type_for_mode (TYPE_MODE (vectype_out), 0);
8560 interm_optab
8561 = optab_for_tree_code (c1, intermediate_type, optab_default);
8562 if (interm_optab != unknown_optab
8563 && (icode2 = optab_handler (optab1, vec_mode)) != CODE_FOR_nothing
8564 && insn_data[icode1].operand[0].mode
8565 == insn_data[icode2].operand[0].mode)
8567 uns = false;
8568 optab1 = interm_optab;
8569 icode1 = icode2;
8573 /* We assume here that there will not be more than MAX_INTERM_CVT_STEPS
8574 intermediate steps in promotion sequence. We try
8575 MAX_INTERM_CVT_STEPS to get to NARROW_VECTYPE, and fail if we do not. */
8576 interm_types->create (MAX_INTERM_CVT_STEPS);
8577 for (i = 0; i < MAX_INTERM_CVT_STEPS; i++)
8579 intermediate_mode = insn_data[icode1].operand[0].mode;
8580 intermediate_type
8581 = lang_hooks.types.type_for_mode (intermediate_mode, uns);
8582 interm_optab
8583 = optab_for_tree_code (VEC_PACK_TRUNC_EXPR, intermediate_type,
8584 optab_default);
8585 if (!interm_optab
8586 || ((icode1 = optab_handler (optab1, prev_mode)) == CODE_FOR_nothing)
8587 || insn_data[icode1].operand[0].mode != intermediate_mode
8588 || ((icode1 = optab_handler (interm_optab, intermediate_mode))
8589 == CODE_FOR_nothing))
8590 break;
8592 interm_types->quick_push (intermediate_type);
8593 (*multi_step_cvt)++;
8595 if (insn_data[icode1].operand[0].mode == TYPE_MODE (narrow_vectype))
8596 return true;
8598 prev_mode = intermediate_mode;
8599 optab1 = interm_optab;
8602 interm_types->release ();
8603 return false;