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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 "tm.h"
27 #include "hash-set.h"
28 #include "machmode.h"
29 #include "vec.h"
30 #include "double-int.h"
31 #include "input.h"
32 #include "alias.h"
33 #include "symtab.h"
34 #include "wide-int.h"
35 #include "inchash.h"
36 #include "tree.h"
37 #include "fold-const.h"
38 #include "stor-layout.h"
39 #include "target.h"
40 #include "predict.h"
41 #include "hard-reg-set.h"
42 #include "function.h"
43 #include "dominance.h"
44 #include "cfg.h"
45 #include "basic-block.h"
46 #include "gimple-pretty-print.h"
47 #include "tree-ssa-alias.h"
48 #include "internal-fn.h"
49 #include "tree-eh.h"
50 #include "gimple-expr.h"
51 #include "is-a.h"
52 #include "gimple.h"
53 #include "gimplify.h"
54 #include "gimple-iterator.h"
55 #include "gimplify-me.h"
56 #include "gimple-ssa.h"
57 #include "tree-cfg.h"
58 #include "tree-phinodes.h"
59 #include "ssa-iterators.h"
60 #include "stringpool.h"
61 #include "tree-ssanames.h"
62 #include "tree-ssa-loop-manip.h"
63 #include "cfgloop.h"
64 #include "tree-ssa-loop.h"
65 #include "tree-scalar-evolution.h"
66 #include "hashtab.h"
67 #include "rtl.h"
68 #include "flags.h"
69 #include "statistics.h"
70 #include "real.h"
71 #include "fixed-value.h"
72 #include "insn-config.h"
73 #include "expmed.h"
74 #include "dojump.h"
75 #include "explow.h"
76 #include "calls.h"
77 #include "emit-rtl.h"
78 #include "varasm.h"
79 #include "stmt.h"
80 #include "expr.h"
81 #include "recog.h" /* FIXME: for insn_data */
82 #include "insn-codes.h"
83 #include "optabs.h"
84 #include "diagnostic-core.h"
85 #include "tree-vectorizer.h"
86 #include "hash-map.h"
87 #include "plugin-api.h"
88 #include "ipa-ref.h"
89 #include "cgraph.h"
90 #include "builtins.h"
92 /* For lang_hooks.types.type_for_mode. */
93 #include "langhooks.h"
95 /* Return the vectorized type for the given statement. */
97 tree
98 stmt_vectype (struct _stmt_vec_info *stmt_info)
100 return STMT_VINFO_VECTYPE (stmt_info);
103 /* Return TRUE iff the given statement is in an inner loop relative to
104 the loop being vectorized. */
105 bool
106 stmt_in_inner_loop_p (struct _stmt_vec_info *stmt_info)
108 gimple stmt = STMT_VINFO_STMT (stmt_info);
109 basic_block bb = gimple_bb (stmt);
110 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
111 struct loop* loop;
113 if (!loop_vinfo)
114 return false;
116 loop = LOOP_VINFO_LOOP (loop_vinfo);
118 return (bb->loop_father == loop->inner);
121 /* Record the cost of a statement, either by directly informing the
122 target model or by saving it in a vector for later processing.
123 Return a preliminary estimate of the statement's cost. */
125 unsigned
126 record_stmt_cost (stmt_vector_for_cost *body_cost_vec, int count,
127 enum vect_cost_for_stmt kind, stmt_vec_info stmt_info,
128 int misalign, enum vect_cost_model_location where)
130 if (body_cost_vec)
132 tree vectype = stmt_info ? stmt_vectype (stmt_info) : NULL_TREE;
133 add_stmt_info_to_vec (body_cost_vec, count, kind,
134 stmt_info ? STMT_VINFO_STMT (stmt_info) : NULL,
135 misalign);
136 return (unsigned)
137 (builtin_vectorization_cost (kind, vectype, misalign) * count);
140 else
142 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
143 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
144 void *target_cost_data;
146 if (loop_vinfo)
147 target_cost_data = LOOP_VINFO_TARGET_COST_DATA (loop_vinfo);
148 else
149 target_cost_data = BB_VINFO_TARGET_COST_DATA (bb_vinfo);
151 return add_stmt_cost (target_cost_data, count, kind, stmt_info,
152 misalign, where);
156 /* Return a variable of type ELEM_TYPE[NELEMS]. */
158 static tree
159 create_vector_array (tree elem_type, unsigned HOST_WIDE_INT nelems)
161 return create_tmp_var (build_array_type_nelts (elem_type, nelems),
162 "vect_array");
165 /* ARRAY is an array of vectors created by create_vector_array.
166 Return an SSA_NAME for the vector in index N. The reference
167 is part of the vectorization of STMT and the vector is associated
168 with scalar destination SCALAR_DEST. */
170 static tree
171 read_vector_array (gimple stmt, gimple_stmt_iterator *gsi, tree scalar_dest,
172 tree array, unsigned HOST_WIDE_INT n)
174 tree vect_type, vect, vect_name, array_ref;
175 gimple new_stmt;
177 gcc_assert (TREE_CODE (TREE_TYPE (array)) == ARRAY_TYPE);
178 vect_type = TREE_TYPE (TREE_TYPE (array));
179 vect = vect_create_destination_var (scalar_dest, vect_type);
180 array_ref = build4 (ARRAY_REF, vect_type, array,
181 build_int_cst (size_type_node, n),
182 NULL_TREE, NULL_TREE);
184 new_stmt = gimple_build_assign (vect, array_ref);
185 vect_name = make_ssa_name (vect, new_stmt);
186 gimple_assign_set_lhs (new_stmt, vect_name);
187 vect_finish_stmt_generation (stmt, new_stmt, gsi);
189 return vect_name;
192 /* ARRAY is an array of vectors created by create_vector_array.
193 Emit code to store SSA_NAME VECT in index N of the array.
194 The store is part of the vectorization of STMT. */
196 static void
197 write_vector_array (gimple stmt, gimple_stmt_iterator *gsi, tree vect,
198 tree array, unsigned HOST_WIDE_INT n)
200 tree array_ref;
201 gimple new_stmt;
203 array_ref = build4 (ARRAY_REF, TREE_TYPE (vect), array,
204 build_int_cst (size_type_node, n),
205 NULL_TREE, NULL_TREE);
207 new_stmt = gimple_build_assign (array_ref, vect);
208 vect_finish_stmt_generation (stmt, new_stmt, gsi);
211 /* PTR is a pointer to an array of type TYPE. Return a representation
212 of *PTR. The memory reference replaces those in FIRST_DR
213 (and its group). */
215 static tree
216 create_array_ref (tree type, tree ptr, struct data_reference *first_dr)
218 tree mem_ref, alias_ptr_type;
220 alias_ptr_type = reference_alias_ptr_type (DR_REF (first_dr));
221 mem_ref = build2 (MEM_REF, type, ptr, build_int_cst (alias_ptr_type, 0));
222 /* Arrays have the same alignment as their type. */
223 set_ptr_info_alignment (get_ptr_info (ptr), TYPE_ALIGN_UNIT (type), 0);
224 return mem_ref;
227 /* Utility functions used by vect_mark_stmts_to_be_vectorized. */
229 /* Function vect_mark_relevant.
231 Mark STMT as "relevant for vectorization" and add it to WORKLIST. */
233 static void
234 vect_mark_relevant (vec<gimple> *worklist, gimple stmt,
235 enum vect_relevant relevant, bool live_p,
236 bool used_in_pattern)
238 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
239 enum vect_relevant save_relevant = STMT_VINFO_RELEVANT (stmt_info);
240 bool save_live_p = STMT_VINFO_LIVE_P (stmt_info);
241 gimple pattern_stmt;
243 if (dump_enabled_p ())
244 dump_printf_loc (MSG_NOTE, vect_location,
245 "mark relevant %d, live %d.\n", relevant, live_p);
247 /* If this stmt is an original stmt in a pattern, we might need to mark its
248 related pattern stmt instead of the original stmt. However, such stmts
249 may have their own uses that are not in any pattern, in such cases the
250 stmt itself should be marked. */
251 if (STMT_VINFO_IN_PATTERN_P (stmt_info))
253 bool found = false;
254 if (!used_in_pattern)
256 imm_use_iterator imm_iter;
257 use_operand_p use_p;
258 gimple use_stmt;
259 tree lhs;
260 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
261 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
263 if (is_gimple_assign (stmt))
264 lhs = gimple_assign_lhs (stmt);
265 else
266 lhs = gimple_call_lhs (stmt);
268 /* This use is out of pattern use, if LHS has other uses that are
269 pattern uses, we should mark the stmt itself, and not the pattern
270 stmt. */
271 if (lhs && TREE_CODE (lhs) == SSA_NAME)
272 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, lhs)
274 if (is_gimple_debug (USE_STMT (use_p)))
275 continue;
276 use_stmt = USE_STMT (use_p);
278 if (!flow_bb_inside_loop_p (loop, gimple_bb (use_stmt)))
279 continue;
281 if (vinfo_for_stmt (use_stmt)
282 && STMT_VINFO_IN_PATTERN_P (vinfo_for_stmt (use_stmt)))
284 found = true;
285 break;
290 if (!found)
292 /* This is the last stmt in a sequence that was detected as a
293 pattern that can potentially be vectorized. Don't mark the stmt
294 as relevant/live because it's not going to be vectorized.
295 Instead mark the pattern-stmt that replaces it. */
297 pattern_stmt = STMT_VINFO_RELATED_STMT (stmt_info);
299 if (dump_enabled_p ())
300 dump_printf_loc (MSG_NOTE, vect_location,
301 "last stmt in pattern. don't mark"
302 " relevant/live.\n");
303 stmt_info = vinfo_for_stmt (pattern_stmt);
304 gcc_assert (STMT_VINFO_RELATED_STMT (stmt_info) == stmt);
305 save_relevant = STMT_VINFO_RELEVANT (stmt_info);
306 save_live_p = STMT_VINFO_LIVE_P (stmt_info);
307 stmt = pattern_stmt;
311 STMT_VINFO_LIVE_P (stmt_info) |= live_p;
312 if (relevant > STMT_VINFO_RELEVANT (stmt_info))
313 STMT_VINFO_RELEVANT (stmt_info) = relevant;
315 if (STMT_VINFO_RELEVANT (stmt_info) == save_relevant
316 && STMT_VINFO_LIVE_P (stmt_info) == save_live_p)
318 if (dump_enabled_p ())
319 dump_printf_loc (MSG_NOTE, vect_location,
320 "already marked relevant/live.\n");
321 return;
324 worklist->safe_push (stmt);
328 /* Function vect_stmt_relevant_p.
330 Return true if STMT in loop that is represented by LOOP_VINFO is
331 "relevant for vectorization".
333 A stmt is considered "relevant for vectorization" if:
334 - it has uses outside the loop.
335 - it has vdefs (it alters memory).
336 - control stmts in the loop (except for the exit condition).
338 CHECKME: what other side effects would the vectorizer allow? */
340 static bool
341 vect_stmt_relevant_p (gimple stmt, loop_vec_info loop_vinfo,
342 enum vect_relevant *relevant, bool *live_p)
344 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
345 ssa_op_iter op_iter;
346 imm_use_iterator imm_iter;
347 use_operand_p use_p;
348 def_operand_p def_p;
350 *relevant = vect_unused_in_scope;
351 *live_p = false;
353 /* cond stmt other than loop exit cond. */
354 if (is_ctrl_stmt (stmt)
355 && STMT_VINFO_TYPE (vinfo_for_stmt (stmt))
356 != loop_exit_ctrl_vec_info_type)
357 *relevant = vect_used_in_scope;
359 /* changing memory. */
360 if (gimple_code (stmt) != GIMPLE_PHI)
361 if (gimple_vdef (stmt)
362 && !gimple_clobber_p (stmt))
364 if (dump_enabled_p ())
365 dump_printf_loc (MSG_NOTE, vect_location,
366 "vec_stmt_relevant_p: stmt has vdefs.\n");
367 *relevant = vect_used_in_scope;
370 /* uses outside the loop. */
371 FOR_EACH_PHI_OR_STMT_DEF (def_p, stmt, op_iter, SSA_OP_DEF)
373 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, DEF_FROM_PTR (def_p))
375 basic_block bb = gimple_bb (USE_STMT (use_p));
376 if (!flow_bb_inside_loop_p (loop, bb))
378 if (dump_enabled_p ())
379 dump_printf_loc (MSG_NOTE, vect_location,
380 "vec_stmt_relevant_p: used out of loop.\n");
382 if (is_gimple_debug (USE_STMT (use_p)))
383 continue;
385 /* We expect all such uses to be in the loop exit phis
386 (because of loop closed form) */
387 gcc_assert (gimple_code (USE_STMT (use_p)) == GIMPLE_PHI);
388 gcc_assert (bb == single_exit (loop)->dest);
390 *live_p = true;
395 return (*live_p || *relevant);
399 /* Function exist_non_indexing_operands_for_use_p
401 USE is one of the uses attached to STMT. Check if USE is
402 used in STMT for anything other than indexing an array. */
404 static bool
405 exist_non_indexing_operands_for_use_p (tree use, gimple stmt)
407 tree operand;
408 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
410 /* USE corresponds to some operand in STMT. If there is no data
411 reference in STMT, then any operand that corresponds to USE
412 is not indexing an array. */
413 if (!STMT_VINFO_DATA_REF (stmt_info))
414 return true;
416 /* STMT has a data_ref. FORNOW this means that its of one of
417 the following forms:
418 -1- ARRAY_REF = var
419 -2- var = ARRAY_REF
420 (This should have been verified in analyze_data_refs).
422 'var' in the second case corresponds to a def, not a use,
423 so USE cannot correspond to any operands that are not used
424 for array indexing.
426 Therefore, all we need to check is if STMT falls into the
427 first case, and whether var corresponds to USE. */
429 if (!gimple_assign_copy_p (stmt))
431 if (is_gimple_call (stmt)
432 && gimple_call_internal_p (stmt))
433 switch (gimple_call_internal_fn (stmt))
435 case IFN_MASK_STORE:
436 operand = gimple_call_arg (stmt, 3);
437 if (operand == use)
438 return true;
439 /* FALLTHRU */
440 case IFN_MASK_LOAD:
441 operand = gimple_call_arg (stmt, 2);
442 if (operand == use)
443 return true;
444 break;
445 default:
446 break;
448 return false;
451 if (TREE_CODE (gimple_assign_lhs (stmt)) == SSA_NAME)
452 return false;
453 operand = gimple_assign_rhs1 (stmt);
454 if (TREE_CODE (operand) != SSA_NAME)
455 return false;
457 if (operand == use)
458 return true;
460 return false;
465 Function process_use.
467 Inputs:
468 - a USE in STMT in a loop represented by LOOP_VINFO
469 - LIVE_P, RELEVANT - enum values to be set in the STMT_VINFO of the stmt
470 that defined USE. This is done by calling mark_relevant and passing it
471 the WORKLIST (to add DEF_STMT to the WORKLIST in case it is relevant).
472 - FORCE is true if exist_non_indexing_operands_for_use_p check shouldn't
473 be performed.
475 Outputs:
476 Generally, LIVE_P and RELEVANT are used to define the liveness and
477 relevance info of the DEF_STMT of this USE:
478 STMT_VINFO_LIVE_P (DEF_STMT_info) <-- live_p
479 STMT_VINFO_RELEVANT (DEF_STMT_info) <-- relevant
480 Exceptions:
481 - case 1: If USE is used only for address computations (e.g. array indexing),
482 which does not need to be directly vectorized, then the liveness/relevance
483 of the respective DEF_STMT is left unchanged.
484 - case 2: If STMT is a reduction phi and DEF_STMT is a reduction stmt, we
485 skip DEF_STMT cause it had already been processed.
486 - case 3: If DEF_STMT and STMT are in different nests, then "relevant" will
487 be modified accordingly.
489 Return true if everything is as expected. Return false otherwise. */
491 static bool
492 process_use (gimple stmt, tree use, loop_vec_info loop_vinfo, bool live_p,
493 enum vect_relevant relevant, vec<gimple> *worklist,
494 bool force)
496 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
497 stmt_vec_info stmt_vinfo = vinfo_for_stmt (stmt);
498 stmt_vec_info dstmt_vinfo;
499 basic_block bb, def_bb;
500 tree def;
501 gimple def_stmt;
502 enum vect_def_type dt;
504 /* case 1: we are only interested in uses that need to be vectorized. Uses
505 that are used for address computation are not considered relevant. */
506 if (!force && !exist_non_indexing_operands_for_use_p (use, stmt))
507 return true;
509 if (!vect_is_simple_use (use, stmt, loop_vinfo, NULL, &def_stmt, &def, &dt))
511 if (dump_enabled_p ())
512 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
513 "not vectorized: unsupported use in stmt.\n");
514 return false;
517 if (!def_stmt || gimple_nop_p (def_stmt))
518 return true;
520 def_bb = gimple_bb (def_stmt);
521 if (!flow_bb_inside_loop_p (loop, def_bb))
523 if (dump_enabled_p ())
524 dump_printf_loc (MSG_NOTE, vect_location, "def_stmt is out of loop.\n");
525 return true;
528 /* case 2: A reduction phi (STMT) defined by a reduction stmt (DEF_STMT).
529 DEF_STMT must have already been processed, because this should be the
530 only way that STMT, which is a reduction-phi, was put in the worklist,
531 as there should be no other uses for DEF_STMT in the loop. So we just
532 check that everything is as expected, and we are done. */
533 dstmt_vinfo = vinfo_for_stmt (def_stmt);
534 bb = gimple_bb (stmt);
535 if (gimple_code (stmt) == GIMPLE_PHI
536 && STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_reduction_def
537 && gimple_code (def_stmt) != GIMPLE_PHI
538 && STMT_VINFO_DEF_TYPE (dstmt_vinfo) == vect_reduction_def
539 && bb->loop_father == def_bb->loop_father)
541 if (dump_enabled_p ())
542 dump_printf_loc (MSG_NOTE, vect_location,
543 "reduc-stmt defining reduc-phi in the same nest.\n");
544 if (STMT_VINFO_IN_PATTERN_P (dstmt_vinfo))
545 dstmt_vinfo = vinfo_for_stmt (STMT_VINFO_RELATED_STMT (dstmt_vinfo));
546 gcc_assert (STMT_VINFO_RELEVANT (dstmt_vinfo) < vect_used_by_reduction);
547 gcc_assert (STMT_VINFO_LIVE_P (dstmt_vinfo)
548 || STMT_VINFO_RELEVANT (dstmt_vinfo) > vect_unused_in_scope);
549 return true;
552 /* case 3a: outer-loop stmt defining an inner-loop stmt:
553 outer-loop-header-bb:
554 d = def_stmt
555 inner-loop:
556 stmt # use (d)
557 outer-loop-tail-bb:
558 ... */
559 if (flow_loop_nested_p (def_bb->loop_father, bb->loop_father))
561 if (dump_enabled_p ())
562 dump_printf_loc (MSG_NOTE, vect_location,
563 "outer-loop def-stmt defining inner-loop stmt.\n");
565 switch (relevant)
567 case vect_unused_in_scope:
568 relevant = (STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_nested_cycle) ?
569 vect_used_in_scope : vect_unused_in_scope;
570 break;
572 case vect_used_in_outer_by_reduction:
573 gcc_assert (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_reduction_def);
574 relevant = vect_used_by_reduction;
575 break;
577 case vect_used_in_outer:
578 gcc_assert (STMT_VINFO_DEF_TYPE (stmt_vinfo) != vect_reduction_def);
579 relevant = vect_used_in_scope;
580 break;
582 case vect_used_in_scope:
583 break;
585 default:
586 gcc_unreachable ();
590 /* case 3b: inner-loop stmt defining an outer-loop stmt:
591 outer-loop-header-bb:
593 inner-loop:
594 d = def_stmt
595 outer-loop-tail-bb (or outer-loop-exit-bb in double reduction):
596 stmt # use (d) */
597 else if (flow_loop_nested_p (bb->loop_father, def_bb->loop_father))
599 if (dump_enabled_p ())
600 dump_printf_loc (MSG_NOTE, vect_location,
601 "inner-loop def-stmt defining outer-loop stmt.\n");
603 switch (relevant)
605 case vect_unused_in_scope:
606 relevant = (STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_reduction_def
607 || STMT_VINFO_DEF_TYPE (stmt_vinfo) == vect_double_reduction_def) ?
608 vect_used_in_outer_by_reduction : vect_unused_in_scope;
609 break;
611 case vect_used_by_reduction:
612 relevant = vect_used_in_outer_by_reduction;
613 break;
615 case vect_used_in_scope:
616 relevant = vect_used_in_outer;
617 break;
619 default:
620 gcc_unreachable ();
624 vect_mark_relevant (worklist, def_stmt, relevant, live_p,
625 is_pattern_stmt_p (stmt_vinfo));
626 return true;
630 /* Function vect_mark_stmts_to_be_vectorized.
632 Not all stmts in the loop need to be vectorized. For example:
634 for i...
635 for j...
636 1. T0 = i + j
637 2. T1 = a[T0]
639 3. j = j + 1
641 Stmt 1 and 3 do not need to be vectorized, because loop control and
642 addressing of vectorized data-refs are handled differently.
644 This pass detects such stmts. */
646 bool
647 vect_mark_stmts_to_be_vectorized (loop_vec_info loop_vinfo)
649 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
650 basic_block *bbs = LOOP_VINFO_BBS (loop_vinfo);
651 unsigned int nbbs = loop->num_nodes;
652 gimple_stmt_iterator si;
653 gimple stmt;
654 unsigned int i;
655 stmt_vec_info stmt_vinfo;
656 basic_block bb;
657 gimple phi;
658 bool live_p;
659 enum vect_relevant relevant, tmp_relevant;
660 enum vect_def_type def_type;
662 if (dump_enabled_p ())
663 dump_printf_loc (MSG_NOTE, vect_location,
664 "=== vect_mark_stmts_to_be_vectorized ===\n");
666 auto_vec<gimple, 64> worklist;
668 /* 1. Init worklist. */
669 for (i = 0; i < nbbs; i++)
671 bb = bbs[i];
672 for (si = gsi_start_phis (bb); !gsi_end_p (si); gsi_next (&si))
674 phi = gsi_stmt (si);
675 if (dump_enabled_p ())
677 dump_printf_loc (MSG_NOTE, vect_location, "init: phi relevant? ");
678 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, phi, 0);
681 if (vect_stmt_relevant_p (phi, loop_vinfo, &relevant, &live_p))
682 vect_mark_relevant (&worklist, phi, relevant, live_p, false);
684 for (si = gsi_start_bb (bb); !gsi_end_p (si); gsi_next (&si))
686 stmt = gsi_stmt (si);
687 if (dump_enabled_p ())
689 dump_printf_loc (MSG_NOTE, vect_location, "init: stmt relevant? ");
690 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
693 if (vect_stmt_relevant_p (stmt, loop_vinfo, &relevant, &live_p))
694 vect_mark_relevant (&worklist, stmt, relevant, live_p, false);
698 /* 2. Process_worklist */
699 while (worklist.length () > 0)
701 use_operand_p use_p;
702 ssa_op_iter iter;
704 stmt = worklist.pop ();
705 if (dump_enabled_p ())
707 dump_printf_loc (MSG_NOTE, vect_location, "worklist: examine stmt: ");
708 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
711 /* Examine the USEs of STMT. For each USE, mark the stmt that defines it
712 (DEF_STMT) as relevant/irrelevant and live/dead according to the
713 liveness and relevance properties of STMT. */
714 stmt_vinfo = vinfo_for_stmt (stmt);
715 relevant = STMT_VINFO_RELEVANT (stmt_vinfo);
716 live_p = STMT_VINFO_LIVE_P (stmt_vinfo);
718 /* Generally, the liveness and relevance properties of STMT are
719 propagated as is to the DEF_STMTs of its USEs:
720 live_p <-- STMT_VINFO_LIVE_P (STMT_VINFO)
721 relevant <-- STMT_VINFO_RELEVANT (STMT_VINFO)
723 One exception is when STMT has been identified as defining a reduction
724 variable; in this case we set the liveness/relevance as follows:
725 live_p = false
726 relevant = vect_used_by_reduction
727 This is because we distinguish between two kinds of relevant stmts -
728 those that are used by a reduction computation, and those that are
729 (also) used by a regular computation. This allows us later on to
730 identify stmts that are used solely by a reduction, and therefore the
731 order of the results that they produce does not have to be kept. */
733 def_type = STMT_VINFO_DEF_TYPE (stmt_vinfo);
734 tmp_relevant = relevant;
735 switch (def_type)
737 case vect_reduction_def:
738 switch (tmp_relevant)
740 case vect_unused_in_scope:
741 relevant = vect_used_by_reduction;
742 break;
744 case vect_used_by_reduction:
745 if (gimple_code (stmt) == GIMPLE_PHI)
746 break;
747 /* fall through */
749 default:
750 if (dump_enabled_p ())
751 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
752 "unsupported use of reduction.\n");
753 return false;
756 live_p = false;
757 break;
759 case vect_nested_cycle:
760 if (tmp_relevant != vect_unused_in_scope
761 && tmp_relevant != vect_used_in_outer_by_reduction
762 && tmp_relevant != vect_used_in_outer)
764 if (dump_enabled_p ())
765 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
766 "unsupported use of nested cycle.\n");
768 return false;
771 live_p = false;
772 break;
774 case vect_double_reduction_def:
775 if (tmp_relevant != vect_unused_in_scope
776 && tmp_relevant != vect_used_by_reduction)
778 if (dump_enabled_p ())
779 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
780 "unsupported use of double reduction.\n");
782 return false;
785 live_p = false;
786 break;
788 default:
789 break;
792 if (is_pattern_stmt_p (stmt_vinfo))
794 /* Pattern statements are not inserted into the code, so
795 FOR_EACH_PHI_OR_STMT_USE optimizes their operands out, and we
796 have to scan the RHS or function arguments instead. */
797 if (is_gimple_assign (stmt))
799 enum tree_code rhs_code = gimple_assign_rhs_code (stmt);
800 tree op = gimple_assign_rhs1 (stmt);
802 i = 1;
803 if (rhs_code == COND_EXPR && COMPARISON_CLASS_P (op))
805 if (!process_use (stmt, TREE_OPERAND (op, 0), loop_vinfo,
806 live_p, relevant, &worklist, false)
807 || !process_use (stmt, TREE_OPERAND (op, 1), loop_vinfo,
808 live_p, relevant, &worklist, false))
809 return false;
810 i = 2;
812 for (; i < gimple_num_ops (stmt); i++)
814 op = gimple_op (stmt, i);
815 if (!process_use (stmt, op, loop_vinfo, live_p, relevant,
816 &worklist, false))
817 return false;
820 else if (is_gimple_call (stmt))
822 for (i = 0; i < gimple_call_num_args (stmt); i++)
824 tree arg = gimple_call_arg (stmt, i);
825 if (!process_use (stmt, arg, loop_vinfo, live_p, relevant,
826 &worklist, false))
827 return false;
831 else
832 FOR_EACH_PHI_OR_STMT_USE (use_p, stmt, iter, SSA_OP_USE)
834 tree op = USE_FROM_PTR (use_p);
835 if (!process_use (stmt, op, loop_vinfo, live_p, relevant,
836 &worklist, false))
837 return false;
840 if (STMT_VINFO_GATHER_P (stmt_vinfo))
842 tree off;
843 tree decl = vect_check_gather (stmt, loop_vinfo, NULL, &off, NULL);
844 gcc_assert (decl);
845 if (!process_use (stmt, off, loop_vinfo, live_p, relevant,
846 &worklist, true))
847 return false;
849 } /* while worklist */
851 return true;
855 /* Function vect_model_simple_cost.
857 Models cost for simple operations, i.e. those that only emit ncopies of a
858 single op. Right now, this does not account for multiple insns that could
859 be generated for the single vector op. We will handle that shortly. */
861 void
862 vect_model_simple_cost (stmt_vec_info stmt_info, int ncopies,
863 enum vect_def_type *dt,
864 stmt_vector_for_cost *prologue_cost_vec,
865 stmt_vector_for_cost *body_cost_vec)
867 int i;
868 int inside_cost = 0, prologue_cost = 0;
870 /* The SLP costs were already calculated during SLP tree build. */
871 if (PURE_SLP_STMT (stmt_info))
872 return;
874 /* FORNOW: Assuming maximum 2 args per stmts. */
875 for (i = 0; i < 2; i++)
876 if (dt[i] == vect_constant_def || dt[i] == vect_external_def)
877 prologue_cost += record_stmt_cost (prologue_cost_vec, 1, vector_stmt,
878 stmt_info, 0, vect_prologue);
880 /* Pass the inside-of-loop statements to the target-specific cost model. */
881 inside_cost = record_stmt_cost (body_cost_vec, ncopies, vector_stmt,
882 stmt_info, 0, vect_body);
884 if (dump_enabled_p ())
885 dump_printf_loc (MSG_NOTE, vect_location,
886 "vect_model_simple_cost: inside_cost = %d, "
887 "prologue_cost = %d .\n", inside_cost, prologue_cost);
891 /* Model cost for type demotion and promotion operations. PWR is normally
892 zero for single-step promotions and demotions. It will be one if
893 two-step promotion/demotion is required, and so on. Each additional
894 step doubles the number of instructions required. */
896 static void
897 vect_model_promotion_demotion_cost (stmt_vec_info stmt_info,
898 enum vect_def_type *dt, int pwr)
900 int i, tmp;
901 int inside_cost = 0, prologue_cost = 0;
902 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
903 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
904 void *target_cost_data;
906 /* The SLP costs were already calculated during SLP tree build. */
907 if (PURE_SLP_STMT (stmt_info))
908 return;
910 if (loop_vinfo)
911 target_cost_data = LOOP_VINFO_TARGET_COST_DATA (loop_vinfo);
912 else
913 target_cost_data = BB_VINFO_TARGET_COST_DATA (bb_vinfo);
915 for (i = 0; i < pwr + 1; i++)
917 tmp = (STMT_VINFO_TYPE (stmt_info) == type_promotion_vec_info_type) ?
918 (i + 1) : i;
919 inside_cost += add_stmt_cost (target_cost_data, vect_pow2 (tmp),
920 vec_promote_demote, stmt_info, 0,
921 vect_body);
924 /* FORNOW: Assuming maximum 2 args per stmts. */
925 for (i = 0; i < 2; i++)
926 if (dt[i] == vect_constant_def || dt[i] == vect_external_def)
927 prologue_cost += add_stmt_cost (target_cost_data, 1, vector_stmt,
928 stmt_info, 0, vect_prologue);
930 if (dump_enabled_p ())
931 dump_printf_loc (MSG_NOTE, vect_location,
932 "vect_model_promotion_demotion_cost: inside_cost = %d, "
933 "prologue_cost = %d .\n", inside_cost, prologue_cost);
936 /* Function vect_cost_group_size
938 For grouped load or store, return the group_size only if it is the first
939 load or store of a group, else return 1. This ensures that group size is
940 only returned once per group. */
942 static int
943 vect_cost_group_size (stmt_vec_info stmt_info)
945 gimple first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
947 if (first_stmt == STMT_VINFO_STMT (stmt_info))
948 return GROUP_SIZE (stmt_info);
950 return 1;
954 /* Function vect_model_store_cost
956 Models cost for stores. In the case of grouped accesses, one access
957 has the overhead of the grouped access attributed to it. */
959 void
960 vect_model_store_cost (stmt_vec_info stmt_info, int ncopies,
961 bool store_lanes_p, enum vect_def_type dt,
962 slp_tree slp_node,
963 stmt_vector_for_cost *prologue_cost_vec,
964 stmt_vector_for_cost *body_cost_vec)
966 int group_size;
967 unsigned int inside_cost = 0, prologue_cost = 0;
968 struct data_reference *first_dr;
969 gimple first_stmt;
971 /* The SLP costs were already calculated during SLP tree build. */
972 if (PURE_SLP_STMT (stmt_info))
973 return;
975 if (dt == vect_constant_def || dt == vect_external_def)
976 prologue_cost += record_stmt_cost (prologue_cost_vec, 1, scalar_to_vec,
977 stmt_info, 0, vect_prologue);
979 /* Grouped access? */
980 if (STMT_VINFO_GROUPED_ACCESS (stmt_info))
982 if (slp_node)
984 first_stmt = SLP_TREE_SCALAR_STMTS (slp_node)[0];
985 group_size = 1;
987 else
989 first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
990 group_size = vect_cost_group_size (stmt_info);
993 first_dr = STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt));
995 /* Not a grouped access. */
996 else
998 group_size = 1;
999 first_dr = STMT_VINFO_DATA_REF (stmt_info);
1002 /* We assume that the cost of a single store-lanes instruction is
1003 equivalent to the cost of GROUP_SIZE separate stores. If a grouped
1004 access is instead being provided by a permute-and-store operation,
1005 include the cost of the permutes. */
1006 if (!store_lanes_p && group_size > 1)
1008 /* Uses a high and low interleave or shuffle operations for each
1009 needed permute. */
1010 int nstmts = ncopies * ceil_log2 (group_size) * group_size;
1011 inside_cost = record_stmt_cost (body_cost_vec, nstmts, vec_perm,
1012 stmt_info, 0, vect_body);
1014 if (dump_enabled_p ())
1015 dump_printf_loc (MSG_NOTE, vect_location,
1016 "vect_model_store_cost: strided group_size = %d .\n",
1017 group_size);
1020 /* Costs of the stores. */
1021 vect_get_store_cost (first_dr, ncopies, &inside_cost, body_cost_vec);
1023 if (dump_enabled_p ())
1024 dump_printf_loc (MSG_NOTE, vect_location,
1025 "vect_model_store_cost: inside_cost = %d, "
1026 "prologue_cost = %d .\n", inside_cost, prologue_cost);
1030 /* Calculate cost of DR's memory access. */
1031 void
1032 vect_get_store_cost (struct data_reference *dr, int ncopies,
1033 unsigned int *inside_cost,
1034 stmt_vector_for_cost *body_cost_vec)
1036 int alignment_support_scheme = vect_supportable_dr_alignment (dr, false);
1037 gimple stmt = DR_STMT (dr);
1038 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
1040 switch (alignment_support_scheme)
1042 case dr_aligned:
1044 *inside_cost += record_stmt_cost (body_cost_vec, ncopies,
1045 vector_store, stmt_info, 0,
1046 vect_body);
1048 if (dump_enabled_p ())
1049 dump_printf_loc (MSG_NOTE, vect_location,
1050 "vect_model_store_cost: aligned.\n");
1051 break;
1054 case dr_unaligned_supported:
1056 /* Here, we assign an additional cost for the unaligned store. */
1057 *inside_cost += record_stmt_cost (body_cost_vec, ncopies,
1058 unaligned_store, stmt_info,
1059 DR_MISALIGNMENT (dr), vect_body);
1060 if (dump_enabled_p ())
1061 dump_printf_loc (MSG_NOTE, vect_location,
1062 "vect_model_store_cost: unaligned supported by "
1063 "hardware.\n");
1064 break;
1067 case dr_unaligned_unsupported:
1069 *inside_cost = VECT_MAX_COST;
1071 if (dump_enabled_p ())
1072 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1073 "vect_model_store_cost: unsupported access.\n");
1074 break;
1077 default:
1078 gcc_unreachable ();
1083 /* Function vect_model_load_cost
1085 Models cost for loads. In the case of grouped accesses, the last access
1086 has the overhead of the grouped access attributed to it. Since unaligned
1087 accesses are supported for loads, we also account for the costs of the
1088 access scheme chosen. */
1090 void
1091 vect_model_load_cost (stmt_vec_info stmt_info, int ncopies,
1092 bool load_lanes_p, slp_tree slp_node,
1093 stmt_vector_for_cost *prologue_cost_vec,
1094 stmt_vector_for_cost *body_cost_vec)
1096 int group_size;
1097 gimple first_stmt;
1098 struct data_reference *dr = STMT_VINFO_DATA_REF (stmt_info), *first_dr;
1099 unsigned int inside_cost = 0, prologue_cost = 0;
1101 /* The SLP costs were already calculated during SLP tree build. */
1102 if (PURE_SLP_STMT (stmt_info))
1103 return;
1105 /* Grouped accesses? */
1106 first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
1107 if (STMT_VINFO_GROUPED_ACCESS (stmt_info) && first_stmt && !slp_node)
1109 group_size = vect_cost_group_size (stmt_info);
1110 first_dr = STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt));
1112 /* Not a grouped access. */
1113 else
1115 group_size = 1;
1116 first_dr = dr;
1119 /* We assume that the cost of a single load-lanes instruction is
1120 equivalent to the cost of GROUP_SIZE separate loads. If a grouped
1121 access is instead being provided by a load-and-permute operation,
1122 include the cost of the permutes. */
1123 if (!load_lanes_p && group_size > 1)
1125 /* Uses an even and odd extract operations or shuffle operations
1126 for each needed permute. */
1127 int nstmts = ncopies * ceil_log2 (group_size) * group_size;
1128 inside_cost = record_stmt_cost (body_cost_vec, nstmts, vec_perm,
1129 stmt_info, 0, vect_body);
1131 if (dump_enabled_p ())
1132 dump_printf_loc (MSG_NOTE, vect_location,
1133 "vect_model_load_cost: strided group_size = %d .\n",
1134 group_size);
1137 /* The loads themselves. */
1138 if (STMT_VINFO_STRIDE_LOAD_P (stmt_info))
1140 /* N scalar loads plus gathering them into a vector. */
1141 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
1142 inside_cost += record_stmt_cost (body_cost_vec,
1143 ncopies * TYPE_VECTOR_SUBPARTS (vectype),
1144 scalar_load, stmt_info, 0, vect_body);
1145 inside_cost += record_stmt_cost (body_cost_vec, ncopies, vec_construct,
1146 stmt_info, 0, vect_body);
1148 else
1149 vect_get_load_cost (first_dr, ncopies,
1150 ((!STMT_VINFO_GROUPED_ACCESS (stmt_info))
1151 || group_size > 1 || slp_node),
1152 &inside_cost, &prologue_cost,
1153 prologue_cost_vec, body_cost_vec, true);
1155 if (dump_enabled_p ())
1156 dump_printf_loc (MSG_NOTE, vect_location,
1157 "vect_model_load_cost: inside_cost = %d, "
1158 "prologue_cost = %d .\n", inside_cost, prologue_cost);
1162 /* Calculate cost of DR's memory access. */
1163 void
1164 vect_get_load_cost (struct data_reference *dr, int ncopies,
1165 bool add_realign_cost, unsigned int *inside_cost,
1166 unsigned int *prologue_cost,
1167 stmt_vector_for_cost *prologue_cost_vec,
1168 stmt_vector_for_cost *body_cost_vec,
1169 bool record_prologue_costs)
1171 int alignment_support_scheme = vect_supportable_dr_alignment (dr, false);
1172 gimple stmt = DR_STMT (dr);
1173 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
1175 switch (alignment_support_scheme)
1177 case dr_aligned:
1179 *inside_cost += record_stmt_cost (body_cost_vec, ncopies, vector_load,
1180 stmt_info, 0, vect_body);
1182 if (dump_enabled_p ())
1183 dump_printf_loc (MSG_NOTE, vect_location,
1184 "vect_model_load_cost: aligned.\n");
1186 break;
1188 case dr_unaligned_supported:
1190 /* Here, we assign an additional cost for the unaligned load. */
1191 *inside_cost += record_stmt_cost (body_cost_vec, ncopies,
1192 unaligned_load, stmt_info,
1193 DR_MISALIGNMENT (dr), vect_body);
1195 if (dump_enabled_p ())
1196 dump_printf_loc (MSG_NOTE, vect_location,
1197 "vect_model_load_cost: unaligned supported by "
1198 "hardware.\n");
1200 break;
1202 case dr_explicit_realign:
1204 *inside_cost += record_stmt_cost (body_cost_vec, ncopies * 2,
1205 vector_load, stmt_info, 0, vect_body);
1206 *inside_cost += record_stmt_cost (body_cost_vec, ncopies,
1207 vec_perm, stmt_info, 0, vect_body);
1209 /* FIXME: If the misalignment remains fixed across the iterations of
1210 the containing loop, the following cost should be added to the
1211 prologue costs. */
1212 if (targetm.vectorize.builtin_mask_for_load)
1213 *inside_cost += record_stmt_cost (body_cost_vec, 1, vector_stmt,
1214 stmt_info, 0, vect_body);
1216 if (dump_enabled_p ())
1217 dump_printf_loc (MSG_NOTE, vect_location,
1218 "vect_model_load_cost: explicit realign\n");
1220 break;
1222 case dr_explicit_realign_optimized:
1224 if (dump_enabled_p ())
1225 dump_printf_loc (MSG_NOTE, vect_location,
1226 "vect_model_load_cost: unaligned software "
1227 "pipelined.\n");
1229 /* Unaligned software pipeline has a load of an address, an initial
1230 load, and possibly a mask operation to "prime" the loop. However,
1231 if this is an access in a group of loads, which provide grouped
1232 access, then the above cost should only be considered for one
1233 access in the group. Inside the loop, there is a load op
1234 and a realignment op. */
1236 if (add_realign_cost && record_prologue_costs)
1238 *prologue_cost += record_stmt_cost (prologue_cost_vec, 2,
1239 vector_stmt, stmt_info,
1240 0, vect_prologue);
1241 if (targetm.vectorize.builtin_mask_for_load)
1242 *prologue_cost += record_stmt_cost (prologue_cost_vec, 1,
1243 vector_stmt, stmt_info,
1244 0, vect_prologue);
1247 *inside_cost += record_stmt_cost (body_cost_vec, ncopies, vector_load,
1248 stmt_info, 0, vect_body);
1249 *inside_cost += record_stmt_cost (body_cost_vec, ncopies, vec_perm,
1250 stmt_info, 0, vect_body);
1252 if (dump_enabled_p ())
1253 dump_printf_loc (MSG_NOTE, vect_location,
1254 "vect_model_load_cost: explicit realign optimized"
1255 "\n");
1257 break;
1260 case dr_unaligned_unsupported:
1262 *inside_cost = VECT_MAX_COST;
1264 if (dump_enabled_p ())
1265 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1266 "vect_model_load_cost: unsupported access.\n");
1267 break;
1270 default:
1271 gcc_unreachable ();
1275 /* Insert the new stmt NEW_STMT at *GSI or at the appropriate place in
1276 the loop preheader for the vectorized stmt STMT. */
1278 static void
1279 vect_init_vector_1 (gimple stmt, gimple new_stmt, gimple_stmt_iterator *gsi)
1281 if (gsi)
1282 vect_finish_stmt_generation (stmt, new_stmt, gsi);
1283 else
1285 stmt_vec_info stmt_vinfo = vinfo_for_stmt (stmt);
1286 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_vinfo);
1288 if (loop_vinfo)
1290 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
1291 basic_block new_bb;
1292 edge pe;
1294 if (nested_in_vect_loop_p (loop, stmt))
1295 loop = loop->inner;
1297 pe = loop_preheader_edge (loop);
1298 new_bb = gsi_insert_on_edge_immediate (pe, new_stmt);
1299 gcc_assert (!new_bb);
1301 else
1303 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_vinfo);
1304 basic_block bb;
1305 gimple_stmt_iterator gsi_bb_start;
1307 gcc_assert (bb_vinfo);
1308 bb = BB_VINFO_BB (bb_vinfo);
1309 gsi_bb_start = gsi_after_labels (bb);
1310 gsi_insert_before (&gsi_bb_start, new_stmt, GSI_SAME_STMT);
1314 if (dump_enabled_p ())
1316 dump_printf_loc (MSG_NOTE, vect_location,
1317 "created new init_stmt: ");
1318 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, new_stmt, 0);
1322 /* Function vect_init_vector.
1324 Insert a new stmt (INIT_STMT) that initializes a new variable of type
1325 TYPE with the value VAL. If TYPE is a vector type and VAL does not have
1326 vector type a vector with all elements equal to VAL is created first.
1327 Place the initialization at BSI if it is not NULL. Otherwise, place the
1328 initialization at the loop preheader.
1329 Return the DEF of INIT_STMT.
1330 It will be used in the vectorization of STMT. */
1332 tree
1333 vect_init_vector (gimple stmt, tree val, tree type, gimple_stmt_iterator *gsi)
1335 tree new_var;
1336 gimple init_stmt;
1337 tree vec_oprnd;
1338 tree new_temp;
1340 if (TREE_CODE (type) == VECTOR_TYPE
1341 && TREE_CODE (TREE_TYPE (val)) != VECTOR_TYPE)
1343 if (!types_compatible_p (TREE_TYPE (type), TREE_TYPE (val)))
1345 if (CONSTANT_CLASS_P (val))
1346 val = fold_unary (VIEW_CONVERT_EXPR, TREE_TYPE (type), val);
1347 else
1349 new_temp = make_ssa_name (TREE_TYPE (type));
1350 init_stmt = gimple_build_assign (new_temp, NOP_EXPR, val);
1351 vect_init_vector_1 (stmt, init_stmt, gsi);
1352 val = new_temp;
1355 val = build_vector_from_val (type, val);
1358 new_var = vect_get_new_vect_var (type, vect_simple_var, "cst_");
1359 init_stmt = gimple_build_assign (new_var, val);
1360 new_temp = make_ssa_name (new_var, init_stmt);
1361 gimple_assign_set_lhs (init_stmt, new_temp);
1362 vect_init_vector_1 (stmt, init_stmt, gsi);
1363 vec_oprnd = gimple_assign_lhs (init_stmt);
1364 return vec_oprnd;
1368 /* Function vect_get_vec_def_for_operand.
1370 OP is an operand in STMT. This function returns a (vector) def that will be
1371 used in the vectorized stmt for STMT.
1373 In the case that OP is an SSA_NAME which is defined in the loop, then
1374 STMT_VINFO_VEC_STMT of the defining stmt holds the relevant def.
1376 In case OP is an invariant or constant, a new stmt that creates a vector def
1377 needs to be introduced. */
1379 tree
1380 vect_get_vec_def_for_operand (tree op, gimple stmt, tree *scalar_def)
1382 tree vec_oprnd;
1383 gimple vec_stmt;
1384 gimple def_stmt;
1385 stmt_vec_info def_stmt_info = NULL;
1386 stmt_vec_info stmt_vinfo = vinfo_for_stmt (stmt);
1387 unsigned int nunits;
1388 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_vinfo);
1389 tree def;
1390 enum vect_def_type dt;
1391 bool is_simple_use;
1392 tree vector_type;
1394 if (dump_enabled_p ())
1396 dump_printf_loc (MSG_NOTE, vect_location,
1397 "vect_get_vec_def_for_operand: ");
1398 dump_generic_expr (MSG_NOTE, TDF_SLIM, op);
1399 dump_printf (MSG_NOTE, "\n");
1402 is_simple_use = vect_is_simple_use (op, stmt, loop_vinfo, NULL,
1403 &def_stmt, &def, &dt);
1404 gcc_assert (is_simple_use);
1405 if (dump_enabled_p ())
1407 int loc_printed = 0;
1408 if (def)
1410 dump_printf_loc (MSG_NOTE, vect_location, "def = ");
1411 loc_printed = 1;
1412 dump_generic_expr (MSG_NOTE, TDF_SLIM, def);
1413 dump_printf (MSG_NOTE, "\n");
1415 if (def_stmt)
1417 if (loc_printed)
1418 dump_printf (MSG_NOTE, " def_stmt = ");
1419 else
1420 dump_printf_loc (MSG_NOTE, vect_location, " def_stmt = ");
1421 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, def_stmt, 0);
1425 switch (dt)
1427 /* Case 1: operand is a constant. */
1428 case vect_constant_def:
1430 vector_type = get_vectype_for_scalar_type (TREE_TYPE (op));
1431 gcc_assert (vector_type);
1432 nunits = TYPE_VECTOR_SUBPARTS (vector_type);
1434 if (scalar_def)
1435 *scalar_def = op;
1437 /* Create 'vect_cst_ = {cst,cst,...,cst}' */
1438 if (dump_enabled_p ())
1439 dump_printf_loc (MSG_NOTE, vect_location,
1440 "Create vector_cst. nunits = %d\n", nunits);
1442 return vect_init_vector (stmt, op, vector_type, NULL);
1445 /* Case 2: operand is defined outside the loop - loop invariant. */
1446 case vect_external_def:
1448 vector_type = get_vectype_for_scalar_type (TREE_TYPE (def));
1449 gcc_assert (vector_type);
1451 if (scalar_def)
1452 *scalar_def = def;
1454 /* Create 'vec_inv = {inv,inv,..,inv}' */
1455 if (dump_enabled_p ())
1456 dump_printf_loc (MSG_NOTE, vect_location, "Create vector_inv.\n");
1458 return vect_init_vector (stmt, def, vector_type, NULL);
1461 /* Case 3: operand is defined inside the loop. */
1462 case vect_internal_def:
1464 if (scalar_def)
1465 *scalar_def = NULL/* FIXME tuples: def_stmt*/;
1467 /* Get the def from the vectorized stmt. */
1468 def_stmt_info = vinfo_for_stmt (def_stmt);
1470 vec_stmt = STMT_VINFO_VEC_STMT (def_stmt_info);
1471 /* Get vectorized pattern statement. */
1472 if (!vec_stmt
1473 && STMT_VINFO_IN_PATTERN_P (def_stmt_info)
1474 && !STMT_VINFO_RELEVANT (def_stmt_info))
1475 vec_stmt = STMT_VINFO_VEC_STMT (vinfo_for_stmt (
1476 STMT_VINFO_RELATED_STMT (def_stmt_info)));
1477 gcc_assert (vec_stmt);
1478 if (gimple_code (vec_stmt) == GIMPLE_PHI)
1479 vec_oprnd = PHI_RESULT (vec_stmt);
1480 else if (is_gimple_call (vec_stmt))
1481 vec_oprnd = gimple_call_lhs (vec_stmt);
1482 else
1483 vec_oprnd = gimple_assign_lhs (vec_stmt);
1484 return vec_oprnd;
1487 /* Case 4: operand is defined by a loop header phi - reduction */
1488 case vect_reduction_def:
1489 case vect_double_reduction_def:
1490 case vect_nested_cycle:
1492 struct loop *loop;
1494 gcc_assert (gimple_code (def_stmt) == GIMPLE_PHI);
1495 loop = (gimple_bb (def_stmt))->loop_father;
1497 /* Get the def before the loop */
1498 op = PHI_ARG_DEF_FROM_EDGE (def_stmt, loop_preheader_edge (loop));
1499 return get_initial_def_for_reduction (stmt, op, scalar_def);
1502 /* Case 5: operand is defined by loop-header phi - induction. */
1503 case vect_induction_def:
1505 gcc_assert (gimple_code (def_stmt) == GIMPLE_PHI);
1507 /* Get the def from the vectorized stmt. */
1508 def_stmt_info = vinfo_for_stmt (def_stmt);
1509 vec_stmt = STMT_VINFO_VEC_STMT (def_stmt_info);
1510 if (gimple_code (vec_stmt) == GIMPLE_PHI)
1511 vec_oprnd = PHI_RESULT (vec_stmt);
1512 else
1513 vec_oprnd = gimple_get_lhs (vec_stmt);
1514 return vec_oprnd;
1517 default:
1518 gcc_unreachable ();
1523 /* Function vect_get_vec_def_for_stmt_copy
1525 Return a vector-def for an operand. This function is used when the
1526 vectorized stmt to be created (by the caller to this function) is a "copy"
1527 created in case the vectorized result cannot fit in one vector, and several
1528 copies of the vector-stmt are required. In this case the vector-def is
1529 retrieved from the vector stmt recorded in the STMT_VINFO_RELATED_STMT field
1530 of the stmt that defines VEC_OPRND.
1531 DT is the type of the vector def VEC_OPRND.
1533 Context:
1534 In case the vectorization factor (VF) is bigger than the number
1535 of elements that can fit in a vectype (nunits), we have to generate
1536 more than one vector stmt to vectorize the scalar stmt. This situation
1537 arises when there are multiple data-types operated upon in the loop; the
1538 smallest data-type determines the VF, and as a result, when vectorizing
1539 stmts operating on wider types we need to create 'VF/nunits' "copies" of the
1540 vector stmt (each computing a vector of 'nunits' results, and together
1541 computing 'VF' results in each iteration). This function is called when
1542 vectorizing such a stmt (e.g. vectorizing S2 in the illustration below, in
1543 which VF=16 and nunits=4, so the number of copies required is 4):
1545 scalar stmt: vectorized into: STMT_VINFO_RELATED_STMT
1547 S1: x = load VS1.0: vx.0 = memref0 VS1.1
1548 VS1.1: vx.1 = memref1 VS1.2
1549 VS1.2: vx.2 = memref2 VS1.3
1550 VS1.3: vx.3 = memref3
1552 S2: z = x + ... VSnew.0: vz0 = vx.0 + ... VSnew.1
1553 VSnew.1: vz1 = vx.1 + ... VSnew.2
1554 VSnew.2: vz2 = vx.2 + ... VSnew.3
1555 VSnew.3: vz3 = vx.3 + ...
1557 The vectorization of S1 is explained in vectorizable_load.
1558 The vectorization of S2:
1559 To create the first vector-stmt out of the 4 copies - VSnew.0 -
1560 the function 'vect_get_vec_def_for_operand' is called to
1561 get the relevant vector-def for each operand of S2. For operand x it
1562 returns the vector-def 'vx.0'.
1564 To create the remaining copies of the vector-stmt (VSnew.j), this
1565 function is called to get the relevant vector-def for each operand. It is
1566 obtained from the respective VS1.j stmt, which is recorded in the
1567 STMT_VINFO_RELATED_STMT field of the stmt that defines VEC_OPRND.
1569 For example, to obtain the vector-def 'vx.1' in order to create the
1570 vector stmt 'VSnew.1', this function is called with VEC_OPRND='vx.0'.
1571 Given 'vx0' we obtain the stmt that defines it ('VS1.0'); from the
1572 STMT_VINFO_RELATED_STMT field of 'VS1.0' we obtain the next copy - 'VS1.1',
1573 and return its def ('vx.1').
1574 Overall, to create the above sequence this function will be called 3 times:
1575 vx.1 = vect_get_vec_def_for_stmt_copy (dt, vx.0);
1576 vx.2 = vect_get_vec_def_for_stmt_copy (dt, vx.1);
1577 vx.3 = vect_get_vec_def_for_stmt_copy (dt, vx.2); */
1579 tree
1580 vect_get_vec_def_for_stmt_copy (enum vect_def_type dt, tree vec_oprnd)
1582 gimple vec_stmt_for_operand;
1583 stmt_vec_info def_stmt_info;
1585 /* Do nothing; can reuse same def. */
1586 if (dt == vect_external_def || dt == vect_constant_def )
1587 return vec_oprnd;
1589 vec_stmt_for_operand = SSA_NAME_DEF_STMT (vec_oprnd);
1590 def_stmt_info = vinfo_for_stmt (vec_stmt_for_operand);
1591 gcc_assert (def_stmt_info);
1592 vec_stmt_for_operand = STMT_VINFO_RELATED_STMT (def_stmt_info);
1593 gcc_assert (vec_stmt_for_operand);
1594 vec_oprnd = gimple_get_lhs (vec_stmt_for_operand);
1595 if (gimple_code (vec_stmt_for_operand) == GIMPLE_PHI)
1596 vec_oprnd = PHI_RESULT (vec_stmt_for_operand);
1597 else
1598 vec_oprnd = gimple_get_lhs (vec_stmt_for_operand);
1599 return vec_oprnd;
1603 /* Get vectorized definitions for the operands to create a copy of an original
1604 stmt. See vect_get_vec_def_for_stmt_copy () for details. */
1606 static void
1607 vect_get_vec_defs_for_stmt_copy (enum vect_def_type *dt,
1608 vec<tree> *vec_oprnds0,
1609 vec<tree> *vec_oprnds1)
1611 tree vec_oprnd = vec_oprnds0->pop ();
1613 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt[0], vec_oprnd);
1614 vec_oprnds0->quick_push (vec_oprnd);
1616 if (vec_oprnds1 && vec_oprnds1->length ())
1618 vec_oprnd = vec_oprnds1->pop ();
1619 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt[1], vec_oprnd);
1620 vec_oprnds1->quick_push (vec_oprnd);
1625 /* Get vectorized definitions for OP0 and OP1.
1626 REDUC_INDEX is the index of reduction operand in case of reduction,
1627 and -1 otherwise. */
1629 void
1630 vect_get_vec_defs (tree op0, tree op1, gimple stmt,
1631 vec<tree> *vec_oprnds0,
1632 vec<tree> *vec_oprnds1,
1633 slp_tree slp_node, int reduc_index)
1635 if (slp_node)
1637 int nops = (op1 == NULL_TREE) ? 1 : 2;
1638 auto_vec<tree> ops (nops);
1639 auto_vec<vec<tree> > vec_defs (nops);
1641 ops.quick_push (op0);
1642 if (op1)
1643 ops.quick_push (op1);
1645 vect_get_slp_defs (ops, slp_node, &vec_defs, reduc_index);
1647 *vec_oprnds0 = vec_defs[0];
1648 if (op1)
1649 *vec_oprnds1 = vec_defs[1];
1651 else
1653 tree vec_oprnd;
1655 vec_oprnds0->create (1);
1656 vec_oprnd = vect_get_vec_def_for_operand (op0, stmt, NULL);
1657 vec_oprnds0->quick_push (vec_oprnd);
1659 if (op1)
1661 vec_oprnds1->create (1);
1662 vec_oprnd = vect_get_vec_def_for_operand (op1, stmt, NULL);
1663 vec_oprnds1->quick_push (vec_oprnd);
1669 /* Function vect_finish_stmt_generation.
1671 Insert a new stmt. */
1673 void
1674 vect_finish_stmt_generation (gimple stmt, gimple vec_stmt,
1675 gimple_stmt_iterator *gsi)
1677 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
1678 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
1679 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
1681 gcc_assert (gimple_code (stmt) != GIMPLE_LABEL);
1683 if (!gsi_end_p (*gsi)
1684 && gimple_has_mem_ops (vec_stmt))
1686 gimple at_stmt = gsi_stmt (*gsi);
1687 tree vuse = gimple_vuse (at_stmt);
1688 if (vuse && TREE_CODE (vuse) == SSA_NAME)
1690 tree vdef = gimple_vdef (at_stmt);
1691 gimple_set_vuse (vec_stmt, gimple_vuse (at_stmt));
1692 /* If we have an SSA vuse and insert a store, update virtual
1693 SSA form to avoid triggering the renamer. Do so only
1694 if we can easily see all uses - which is what almost always
1695 happens with the way vectorized stmts are inserted. */
1696 if ((vdef && TREE_CODE (vdef) == SSA_NAME)
1697 && ((is_gimple_assign (vec_stmt)
1698 && !is_gimple_reg (gimple_assign_lhs (vec_stmt)))
1699 || (is_gimple_call (vec_stmt)
1700 && !(gimple_call_flags (vec_stmt)
1701 & (ECF_CONST|ECF_PURE|ECF_NOVOPS)))))
1703 tree new_vdef = copy_ssa_name (vuse, vec_stmt);
1704 gimple_set_vdef (vec_stmt, new_vdef);
1705 SET_USE (gimple_vuse_op (at_stmt), new_vdef);
1709 gsi_insert_before (gsi, vec_stmt, GSI_SAME_STMT);
1711 set_vinfo_for_stmt (vec_stmt, new_stmt_vec_info (vec_stmt, loop_vinfo,
1712 bb_vinfo));
1714 if (dump_enabled_p ())
1716 dump_printf_loc (MSG_NOTE, vect_location, "add new stmt: ");
1717 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, vec_stmt, 0);
1720 gimple_set_location (vec_stmt, gimple_location (stmt));
1722 /* While EH edges will generally prevent vectorization, stmt might
1723 e.g. be in a must-not-throw region. Ensure newly created stmts
1724 that could throw are part of the same region. */
1725 int lp_nr = lookup_stmt_eh_lp (stmt);
1726 if (lp_nr != 0 && stmt_could_throw_p (vec_stmt))
1727 add_stmt_to_eh_lp (vec_stmt, lp_nr);
1730 /* Checks if CALL can be vectorized in type VECTYPE. Returns
1731 a function declaration if the target has a vectorized version
1732 of the function, or NULL_TREE if the function cannot be vectorized. */
1734 tree
1735 vectorizable_function (gcall *call, tree vectype_out, tree vectype_in)
1737 tree fndecl = gimple_call_fndecl (call);
1739 /* We only handle functions that do not read or clobber memory -- i.e.
1740 const or novops ones. */
1741 if (!(gimple_call_flags (call) & (ECF_CONST | ECF_NOVOPS)))
1742 return NULL_TREE;
1744 if (!fndecl
1745 || TREE_CODE (fndecl) != FUNCTION_DECL
1746 || !DECL_BUILT_IN (fndecl))
1747 return NULL_TREE;
1749 return targetm.vectorize.builtin_vectorized_function (fndecl, vectype_out,
1750 vectype_in);
1754 static tree permute_vec_elements (tree, tree, tree, gimple,
1755 gimple_stmt_iterator *);
1758 /* Function vectorizable_mask_load_store.
1760 Check if STMT performs a conditional load or store that can be vectorized.
1761 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
1762 stmt to replace it, put it in VEC_STMT, and insert it at GSI.
1763 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
1765 static bool
1766 vectorizable_mask_load_store (gimple stmt, gimple_stmt_iterator *gsi,
1767 gimple *vec_stmt, slp_tree slp_node)
1769 tree vec_dest = NULL;
1770 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
1771 stmt_vec_info prev_stmt_info;
1772 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
1773 struct loop *loop = LOOP_VINFO_LOOP (loop_vinfo);
1774 bool nested_in_vect_loop = nested_in_vect_loop_p (loop, stmt);
1775 struct data_reference *dr = STMT_VINFO_DATA_REF (stmt_info);
1776 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
1777 tree elem_type;
1778 gimple new_stmt;
1779 tree dummy;
1780 tree dataref_ptr = NULL_TREE;
1781 gimple ptr_incr;
1782 int nunits = TYPE_VECTOR_SUBPARTS (vectype);
1783 int ncopies;
1784 int i, j;
1785 bool inv_p;
1786 tree gather_base = NULL_TREE, gather_off = NULL_TREE;
1787 tree gather_off_vectype = NULL_TREE, gather_decl = NULL_TREE;
1788 int gather_scale = 1;
1789 enum vect_def_type gather_dt = vect_unknown_def_type;
1790 bool is_store;
1791 tree mask;
1792 gimple def_stmt;
1793 tree def;
1794 enum vect_def_type dt;
1796 if (slp_node != NULL)
1797 return false;
1799 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
1800 gcc_assert (ncopies >= 1);
1802 is_store = gimple_call_internal_fn (stmt) == IFN_MASK_STORE;
1803 mask = gimple_call_arg (stmt, 2);
1804 if (TYPE_PRECISION (TREE_TYPE (mask))
1805 != GET_MODE_BITSIZE (TYPE_MODE (TREE_TYPE (vectype))))
1806 return false;
1808 /* FORNOW. This restriction should be relaxed. */
1809 if (nested_in_vect_loop && ncopies > 1)
1811 if (dump_enabled_p ())
1812 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1813 "multiple types in nested loop.");
1814 return false;
1817 if (!STMT_VINFO_RELEVANT_P (stmt_info))
1818 return false;
1820 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
1821 return false;
1823 if (!STMT_VINFO_DATA_REF (stmt_info))
1824 return false;
1826 elem_type = TREE_TYPE (vectype);
1828 if (STMT_VINFO_GROUPED_ACCESS (stmt_info))
1829 return false;
1831 if (STMT_VINFO_STRIDE_LOAD_P (stmt_info))
1832 return false;
1834 if (STMT_VINFO_GATHER_P (stmt_info))
1836 gimple def_stmt;
1837 tree def;
1838 gather_decl = vect_check_gather (stmt, loop_vinfo, &gather_base,
1839 &gather_off, &gather_scale);
1840 gcc_assert (gather_decl);
1841 if (!vect_is_simple_use_1 (gather_off, NULL, loop_vinfo, NULL,
1842 &def_stmt, &def, &gather_dt,
1843 &gather_off_vectype))
1845 if (dump_enabled_p ())
1846 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1847 "gather index use not simple.");
1848 return false;
1851 tree arglist = TYPE_ARG_TYPES (TREE_TYPE (gather_decl));
1852 tree masktype
1853 = TREE_VALUE (TREE_CHAIN (TREE_CHAIN (TREE_CHAIN (arglist))));
1854 if (TREE_CODE (masktype) == INTEGER_TYPE)
1856 if (dump_enabled_p ())
1857 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
1858 "masked gather with integer mask not supported.");
1859 return false;
1862 else if (tree_int_cst_compare (nested_in_vect_loop
1863 ? STMT_VINFO_DR_STEP (stmt_info)
1864 : DR_STEP (dr), size_zero_node) <= 0)
1865 return false;
1866 else if (!VECTOR_MODE_P (TYPE_MODE (vectype))
1867 || !can_vec_mask_load_store_p (TYPE_MODE (vectype), !is_store))
1868 return false;
1870 if (TREE_CODE (mask) != SSA_NAME)
1871 return false;
1873 if (!vect_is_simple_use (mask, stmt, loop_vinfo, NULL,
1874 &def_stmt, &def, &dt))
1875 return false;
1877 if (is_store)
1879 tree rhs = gimple_call_arg (stmt, 3);
1880 if (!vect_is_simple_use (rhs, stmt, loop_vinfo, NULL,
1881 &def_stmt, &def, &dt))
1882 return false;
1885 if (!vec_stmt) /* transformation not required. */
1887 STMT_VINFO_TYPE (stmt_info) = call_vec_info_type;
1888 if (is_store)
1889 vect_model_store_cost (stmt_info, ncopies, false, dt,
1890 NULL, NULL, NULL);
1891 else
1892 vect_model_load_cost (stmt_info, ncopies, false, NULL, NULL, NULL);
1893 return true;
1896 /** Transform. **/
1898 if (STMT_VINFO_GATHER_P (stmt_info))
1900 tree vec_oprnd0 = NULL_TREE, op;
1901 tree arglist = TYPE_ARG_TYPES (TREE_TYPE (gather_decl));
1902 tree rettype, srctype, ptrtype, idxtype, masktype, scaletype;
1903 tree ptr, vec_mask = NULL_TREE, mask_op = NULL_TREE, var, scale;
1904 tree perm_mask = NULL_TREE, prev_res = NULL_TREE;
1905 tree mask_perm_mask = NULL_TREE;
1906 edge pe = loop_preheader_edge (loop);
1907 gimple_seq seq;
1908 basic_block new_bb;
1909 enum { NARROW, NONE, WIDEN } modifier;
1910 int gather_off_nunits = TYPE_VECTOR_SUBPARTS (gather_off_vectype);
1912 rettype = TREE_TYPE (TREE_TYPE (gather_decl));
1913 srctype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
1914 ptrtype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
1915 idxtype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
1916 masktype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
1917 scaletype = TREE_VALUE (arglist);
1918 gcc_checking_assert (types_compatible_p (srctype, rettype)
1919 && types_compatible_p (srctype, masktype));
1921 if (nunits == gather_off_nunits)
1922 modifier = NONE;
1923 else if (nunits == gather_off_nunits / 2)
1925 unsigned char *sel = XALLOCAVEC (unsigned char, gather_off_nunits);
1926 modifier = WIDEN;
1928 for (i = 0; i < gather_off_nunits; ++i)
1929 sel[i] = i | nunits;
1931 perm_mask = vect_gen_perm_mask_checked (gather_off_vectype, sel);
1933 else if (nunits == gather_off_nunits * 2)
1935 unsigned char *sel = XALLOCAVEC (unsigned char, nunits);
1936 modifier = NARROW;
1938 for (i = 0; i < nunits; ++i)
1939 sel[i] = i < gather_off_nunits
1940 ? i : i + nunits - gather_off_nunits;
1942 perm_mask = vect_gen_perm_mask_checked (vectype, sel);
1943 ncopies *= 2;
1944 for (i = 0; i < nunits; ++i)
1945 sel[i] = i | gather_off_nunits;
1946 mask_perm_mask = vect_gen_perm_mask_checked (masktype, sel);
1948 else
1949 gcc_unreachable ();
1951 vec_dest = vect_create_destination_var (gimple_call_lhs (stmt), vectype);
1953 ptr = fold_convert (ptrtype, gather_base);
1954 if (!is_gimple_min_invariant (ptr))
1956 ptr = force_gimple_operand (ptr, &seq, true, NULL_TREE);
1957 new_bb = gsi_insert_seq_on_edge_immediate (pe, seq);
1958 gcc_assert (!new_bb);
1961 scale = build_int_cst (scaletype, gather_scale);
1963 prev_stmt_info = NULL;
1964 for (j = 0; j < ncopies; ++j)
1966 if (modifier == WIDEN && (j & 1))
1967 op = permute_vec_elements (vec_oprnd0, vec_oprnd0,
1968 perm_mask, stmt, gsi);
1969 else if (j == 0)
1970 op = vec_oprnd0
1971 = vect_get_vec_def_for_operand (gather_off, stmt, NULL);
1972 else
1973 op = vec_oprnd0
1974 = vect_get_vec_def_for_stmt_copy (gather_dt, vec_oprnd0);
1976 if (!useless_type_conversion_p (idxtype, TREE_TYPE (op)))
1978 gcc_assert (TYPE_VECTOR_SUBPARTS (TREE_TYPE (op))
1979 == TYPE_VECTOR_SUBPARTS (idxtype));
1980 var = vect_get_new_vect_var (idxtype, vect_simple_var, NULL);
1981 var = make_ssa_name (var);
1982 op = build1 (VIEW_CONVERT_EXPR, idxtype, op);
1983 new_stmt
1984 = gimple_build_assign (var, VIEW_CONVERT_EXPR, op);
1985 vect_finish_stmt_generation (stmt, new_stmt, gsi);
1986 op = var;
1989 if (mask_perm_mask && (j & 1))
1990 mask_op = permute_vec_elements (mask_op, mask_op,
1991 mask_perm_mask, stmt, gsi);
1992 else
1994 if (j == 0)
1995 vec_mask = vect_get_vec_def_for_operand (mask, stmt, NULL);
1996 else
1998 vect_is_simple_use (vec_mask, NULL, loop_vinfo, NULL,
1999 &def_stmt, &def, &dt);
2000 vec_mask = vect_get_vec_def_for_stmt_copy (dt, vec_mask);
2003 mask_op = vec_mask;
2004 if (!useless_type_conversion_p (masktype, TREE_TYPE (vec_mask)))
2006 gcc_assert (TYPE_VECTOR_SUBPARTS (TREE_TYPE (mask_op))
2007 == TYPE_VECTOR_SUBPARTS (masktype));
2008 var = vect_get_new_vect_var (masktype, vect_simple_var,
2009 NULL);
2010 var = make_ssa_name (var);
2011 mask_op = build1 (VIEW_CONVERT_EXPR, masktype, mask_op);
2012 new_stmt
2013 = gimple_build_assign (var, VIEW_CONVERT_EXPR, mask_op);
2014 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2015 mask_op = var;
2019 new_stmt
2020 = gimple_build_call (gather_decl, 5, mask_op, ptr, op, mask_op,
2021 scale);
2023 if (!useless_type_conversion_p (vectype, rettype))
2025 gcc_assert (TYPE_VECTOR_SUBPARTS (vectype)
2026 == TYPE_VECTOR_SUBPARTS (rettype));
2027 var = vect_get_new_vect_var (rettype, vect_simple_var, NULL);
2028 op = make_ssa_name (var, new_stmt);
2029 gimple_call_set_lhs (new_stmt, op);
2030 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2031 var = make_ssa_name (vec_dest);
2032 op = build1 (VIEW_CONVERT_EXPR, vectype, op);
2033 new_stmt = gimple_build_assign (var, VIEW_CONVERT_EXPR, op);
2035 else
2037 var = make_ssa_name (vec_dest, new_stmt);
2038 gimple_call_set_lhs (new_stmt, var);
2041 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2043 if (modifier == NARROW)
2045 if ((j & 1) == 0)
2047 prev_res = var;
2048 continue;
2050 var = permute_vec_elements (prev_res, var,
2051 perm_mask, stmt, gsi);
2052 new_stmt = SSA_NAME_DEF_STMT (var);
2055 if (prev_stmt_info == NULL)
2056 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
2057 else
2058 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
2059 prev_stmt_info = vinfo_for_stmt (new_stmt);
2062 /* Ensure that even with -fno-tree-dce the scalar MASK_LOAD is removed
2063 from the IL. */
2064 tree lhs = gimple_call_lhs (stmt);
2065 new_stmt = gimple_build_assign (lhs, build_zero_cst (TREE_TYPE (lhs)));
2066 set_vinfo_for_stmt (new_stmt, stmt_info);
2067 set_vinfo_for_stmt (stmt, NULL);
2068 STMT_VINFO_STMT (stmt_info) = new_stmt;
2069 gsi_replace (gsi, new_stmt, true);
2070 return true;
2072 else if (is_store)
2074 tree vec_rhs = NULL_TREE, vec_mask = NULL_TREE;
2075 prev_stmt_info = NULL;
2076 for (i = 0; i < ncopies; i++)
2078 unsigned align, misalign;
2080 if (i == 0)
2082 tree rhs = gimple_call_arg (stmt, 3);
2083 vec_rhs = vect_get_vec_def_for_operand (rhs, stmt, NULL);
2084 vec_mask = vect_get_vec_def_for_operand (mask, stmt, NULL);
2085 /* We should have catched mismatched types earlier. */
2086 gcc_assert (useless_type_conversion_p (vectype,
2087 TREE_TYPE (vec_rhs)));
2088 dataref_ptr = vect_create_data_ref_ptr (stmt, vectype, NULL,
2089 NULL_TREE, &dummy, gsi,
2090 &ptr_incr, false, &inv_p);
2091 gcc_assert (!inv_p);
2093 else
2095 vect_is_simple_use (vec_rhs, NULL, loop_vinfo, NULL, &def_stmt,
2096 &def, &dt);
2097 vec_rhs = vect_get_vec_def_for_stmt_copy (dt, vec_rhs);
2098 vect_is_simple_use (vec_mask, NULL, loop_vinfo, NULL, &def_stmt,
2099 &def, &dt);
2100 vec_mask = vect_get_vec_def_for_stmt_copy (dt, vec_mask);
2101 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi, stmt,
2102 TYPE_SIZE_UNIT (vectype));
2105 align = TYPE_ALIGN_UNIT (vectype);
2106 if (aligned_access_p (dr))
2107 misalign = 0;
2108 else if (DR_MISALIGNMENT (dr) == -1)
2110 align = TYPE_ALIGN_UNIT (elem_type);
2111 misalign = 0;
2113 else
2114 misalign = DR_MISALIGNMENT (dr);
2115 set_ptr_info_alignment (get_ptr_info (dataref_ptr), align,
2116 misalign);
2117 new_stmt
2118 = gimple_build_call_internal (IFN_MASK_STORE, 4, dataref_ptr,
2119 gimple_call_arg (stmt, 1),
2120 vec_mask, vec_rhs);
2121 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2122 if (i == 0)
2123 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
2124 else
2125 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
2126 prev_stmt_info = vinfo_for_stmt (new_stmt);
2129 else
2131 tree vec_mask = NULL_TREE;
2132 prev_stmt_info = NULL;
2133 vec_dest = vect_create_destination_var (gimple_call_lhs (stmt), vectype);
2134 for (i = 0; i < ncopies; i++)
2136 unsigned align, misalign;
2138 if (i == 0)
2140 vec_mask = vect_get_vec_def_for_operand (mask, stmt, NULL);
2141 dataref_ptr = vect_create_data_ref_ptr (stmt, vectype, NULL,
2142 NULL_TREE, &dummy, gsi,
2143 &ptr_incr, false, &inv_p);
2144 gcc_assert (!inv_p);
2146 else
2148 vect_is_simple_use (vec_mask, NULL, loop_vinfo, NULL, &def_stmt,
2149 &def, &dt);
2150 vec_mask = vect_get_vec_def_for_stmt_copy (dt, vec_mask);
2151 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi, stmt,
2152 TYPE_SIZE_UNIT (vectype));
2155 align = TYPE_ALIGN_UNIT (vectype);
2156 if (aligned_access_p (dr))
2157 misalign = 0;
2158 else if (DR_MISALIGNMENT (dr) == -1)
2160 align = TYPE_ALIGN_UNIT (elem_type);
2161 misalign = 0;
2163 else
2164 misalign = DR_MISALIGNMENT (dr);
2165 set_ptr_info_alignment (get_ptr_info (dataref_ptr), align,
2166 misalign);
2167 new_stmt
2168 = gimple_build_call_internal (IFN_MASK_LOAD, 3, dataref_ptr,
2169 gimple_call_arg (stmt, 1),
2170 vec_mask);
2171 gimple_call_set_lhs (new_stmt, make_ssa_name (vec_dest));
2172 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2173 if (i == 0)
2174 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
2175 else
2176 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
2177 prev_stmt_info = vinfo_for_stmt (new_stmt);
2181 if (!is_store)
2183 /* Ensure that even with -fno-tree-dce the scalar MASK_LOAD is removed
2184 from the IL. */
2185 tree lhs = gimple_call_lhs (stmt);
2186 new_stmt = gimple_build_assign (lhs, build_zero_cst (TREE_TYPE (lhs)));
2187 set_vinfo_for_stmt (new_stmt, stmt_info);
2188 set_vinfo_for_stmt (stmt, NULL);
2189 STMT_VINFO_STMT (stmt_info) = new_stmt;
2190 gsi_replace (gsi, new_stmt, true);
2193 return true;
2197 /* Function vectorizable_call.
2199 Check if GS performs a function call that can be vectorized.
2200 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
2201 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
2202 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
2204 static bool
2205 vectorizable_call (gimple gs, gimple_stmt_iterator *gsi, gimple *vec_stmt,
2206 slp_tree slp_node)
2208 gcall *stmt;
2209 tree vec_dest;
2210 tree scalar_dest;
2211 tree op, type;
2212 tree vec_oprnd0 = NULL_TREE, vec_oprnd1 = NULL_TREE;
2213 stmt_vec_info stmt_info = vinfo_for_stmt (gs), prev_stmt_info;
2214 tree vectype_out, vectype_in;
2215 int nunits_in;
2216 int nunits_out;
2217 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
2218 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
2219 tree fndecl, new_temp, def, rhs_type;
2220 gimple def_stmt;
2221 enum vect_def_type dt[3]
2222 = {vect_unknown_def_type, vect_unknown_def_type, vect_unknown_def_type};
2223 gimple new_stmt = NULL;
2224 int ncopies, j;
2225 vec<tree> vargs = vNULL;
2226 enum { NARROW, NONE, WIDEN } modifier;
2227 size_t i, nargs;
2228 tree lhs;
2230 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
2231 return false;
2233 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
2234 return false;
2236 /* Is GS a vectorizable call? */
2237 stmt = dyn_cast <gcall *> (gs);
2238 if (!stmt)
2239 return false;
2241 if (gimple_call_internal_p (stmt)
2242 && (gimple_call_internal_fn (stmt) == IFN_MASK_LOAD
2243 || gimple_call_internal_fn (stmt) == IFN_MASK_STORE))
2244 return vectorizable_mask_load_store (stmt, gsi, vec_stmt,
2245 slp_node);
2247 if (gimple_call_lhs (stmt) == NULL_TREE
2248 || TREE_CODE (gimple_call_lhs (stmt)) != SSA_NAME)
2249 return false;
2251 gcc_checking_assert (!stmt_can_throw_internal (stmt));
2253 vectype_out = STMT_VINFO_VECTYPE (stmt_info);
2255 /* Process function arguments. */
2256 rhs_type = NULL_TREE;
2257 vectype_in = NULL_TREE;
2258 nargs = gimple_call_num_args (stmt);
2260 /* Bail out if the function has more than three arguments, we do not have
2261 interesting builtin functions to vectorize with more than two arguments
2262 except for fma. No arguments is also not good. */
2263 if (nargs == 0 || nargs > 3)
2264 return false;
2266 /* Ignore the argument of IFN_GOMP_SIMD_LANE, it is magic. */
2267 if (gimple_call_internal_p (stmt)
2268 && gimple_call_internal_fn (stmt) == IFN_GOMP_SIMD_LANE)
2270 nargs = 0;
2271 rhs_type = unsigned_type_node;
2274 for (i = 0; i < nargs; i++)
2276 tree opvectype;
2278 op = gimple_call_arg (stmt, i);
2280 /* We can only handle calls with arguments of the same type. */
2281 if (rhs_type
2282 && !types_compatible_p (rhs_type, TREE_TYPE (op)))
2284 if (dump_enabled_p ())
2285 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2286 "argument types differ.\n");
2287 return false;
2289 if (!rhs_type)
2290 rhs_type = TREE_TYPE (op);
2292 if (!vect_is_simple_use_1 (op, stmt, loop_vinfo, bb_vinfo,
2293 &def_stmt, &def, &dt[i], &opvectype))
2295 if (dump_enabled_p ())
2296 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2297 "use not simple.\n");
2298 return false;
2301 if (!vectype_in)
2302 vectype_in = opvectype;
2303 else if (opvectype
2304 && opvectype != vectype_in)
2306 if (dump_enabled_p ())
2307 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2308 "argument vector types differ.\n");
2309 return false;
2312 /* If all arguments are external or constant defs use a vector type with
2313 the same size as the output vector type. */
2314 if (!vectype_in)
2315 vectype_in = get_same_sized_vectype (rhs_type, vectype_out);
2316 if (vec_stmt)
2317 gcc_assert (vectype_in);
2318 if (!vectype_in)
2320 if (dump_enabled_p ())
2322 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2323 "no vectype for scalar type ");
2324 dump_generic_expr (MSG_MISSED_OPTIMIZATION, TDF_SLIM, rhs_type);
2325 dump_printf (MSG_MISSED_OPTIMIZATION, "\n");
2328 return false;
2331 /* FORNOW */
2332 nunits_in = TYPE_VECTOR_SUBPARTS (vectype_in);
2333 nunits_out = TYPE_VECTOR_SUBPARTS (vectype_out);
2334 if (nunits_in == nunits_out / 2)
2335 modifier = NARROW;
2336 else if (nunits_out == nunits_in)
2337 modifier = NONE;
2338 else if (nunits_out == nunits_in / 2)
2339 modifier = WIDEN;
2340 else
2341 return false;
2343 /* For now, we only vectorize functions if a target specific builtin
2344 is available. TODO -- in some cases, it might be profitable to
2345 insert the calls for pieces of the vector, in order to be able
2346 to vectorize other operations in the loop. */
2347 fndecl = vectorizable_function (stmt, vectype_out, vectype_in);
2348 if (fndecl == NULL_TREE)
2350 if (gimple_call_internal_p (stmt)
2351 && gimple_call_internal_fn (stmt) == IFN_GOMP_SIMD_LANE
2352 && !slp_node
2353 && loop_vinfo
2354 && LOOP_VINFO_LOOP (loop_vinfo)->simduid
2355 && TREE_CODE (gimple_call_arg (stmt, 0)) == SSA_NAME
2356 && LOOP_VINFO_LOOP (loop_vinfo)->simduid
2357 == SSA_NAME_VAR (gimple_call_arg (stmt, 0)))
2359 /* We can handle IFN_GOMP_SIMD_LANE by returning a
2360 { 0, 1, 2, ... vf - 1 } vector. */
2361 gcc_assert (nargs == 0);
2363 else
2365 if (dump_enabled_p ())
2366 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2367 "function is not vectorizable.\n");
2368 return false;
2372 gcc_assert (!gimple_vuse (stmt));
2374 if (slp_node || PURE_SLP_STMT (stmt_info))
2375 ncopies = 1;
2376 else if (modifier == NARROW)
2377 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_out;
2378 else
2379 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_in;
2381 /* Sanity check: make sure that at least one copy of the vectorized stmt
2382 needs to be generated. */
2383 gcc_assert (ncopies >= 1);
2385 if (!vec_stmt) /* transformation not required. */
2387 STMT_VINFO_TYPE (stmt_info) = call_vec_info_type;
2388 if (dump_enabled_p ())
2389 dump_printf_loc (MSG_NOTE, vect_location, "=== vectorizable_call ==="
2390 "\n");
2391 vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL);
2392 return true;
2395 /** Transform. **/
2397 if (dump_enabled_p ())
2398 dump_printf_loc (MSG_NOTE, vect_location, "transform call.\n");
2400 /* Handle def. */
2401 scalar_dest = gimple_call_lhs (stmt);
2402 vec_dest = vect_create_destination_var (scalar_dest, vectype_out);
2404 prev_stmt_info = NULL;
2405 switch (modifier)
2407 case NONE:
2408 for (j = 0; j < ncopies; ++j)
2410 /* Build argument list for the vectorized call. */
2411 if (j == 0)
2412 vargs.create (nargs);
2413 else
2414 vargs.truncate (0);
2416 if (slp_node)
2418 auto_vec<vec<tree> > vec_defs (nargs);
2419 vec<tree> vec_oprnds0;
2421 for (i = 0; i < nargs; i++)
2422 vargs.quick_push (gimple_call_arg (stmt, i));
2423 vect_get_slp_defs (vargs, slp_node, &vec_defs, -1);
2424 vec_oprnds0 = vec_defs[0];
2426 /* Arguments are ready. Create the new vector stmt. */
2427 FOR_EACH_VEC_ELT (vec_oprnds0, i, vec_oprnd0)
2429 size_t k;
2430 for (k = 0; k < nargs; k++)
2432 vec<tree> vec_oprndsk = vec_defs[k];
2433 vargs[k] = vec_oprndsk[i];
2435 new_stmt = gimple_build_call_vec (fndecl, vargs);
2436 new_temp = make_ssa_name (vec_dest, new_stmt);
2437 gimple_call_set_lhs (new_stmt, new_temp);
2438 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2439 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
2442 for (i = 0; i < nargs; i++)
2444 vec<tree> vec_oprndsi = vec_defs[i];
2445 vec_oprndsi.release ();
2447 continue;
2450 for (i = 0; i < nargs; i++)
2452 op = gimple_call_arg (stmt, i);
2453 if (j == 0)
2454 vec_oprnd0
2455 = vect_get_vec_def_for_operand (op, stmt, NULL);
2456 else
2458 vec_oprnd0 = gimple_call_arg (new_stmt, i);
2459 vec_oprnd0
2460 = vect_get_vec_def_for_stmt_copy (dt[i], vec_oprnd0);
2463 vargs.quick_push (vec_oprnd0);
2466 if (gimple_call_internal_p (stmt)
2467 && gimple_call_internal_fn (stmt) == IFN_GOMP_SIMD_LANE)
2469 tree *v = XALLOCAVEC (tree, nunits_out);
2470 int k;
2471 for (k = 0; k < nunits_out; ++k)
2472 v[k] = build_int_cst (unsigned_type_node, j * nunits_out + k);
2473 tree cst = build_vector (vectype_out, v);
2474 tree new_var
2475 = vect_get_new_vect_var (vectype_out, vect_simple_var, "cst_");
2476 gimple init_stmt = gimple_build_assign (new_var, cst);
2477 new_temp = make_ssa_name (new_var, init_stmt);
2478 gimple_assign_set_lhs (init_stmt, new_temp);
2479 vect_init_vector_1 (stmt, init_stmt, NULL);
2480 new_temp = make_ssa_name (vec_dest);
2481 new_stmt = gimple_build_assign (new_temp,
2482 gimple_assign_lhs (init_stmt));
2484 else
2486 new_stmt = gimple_build_call_vec (fndecl, vargs);
2487 new_temp = make_ssa_name (vec_dest, new_stmt);
2488 gimple_call_set_lhs (new_stmt, new_temp);
2490 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2492 if (j == 0)
2493 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
2494 else
2495 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
2497 prev_stmt_info = vinfo_for_stmt (new_stmt);
2500 break;
2502 case NARROW:
2503 for (j = 0; j < ncopies; ++j)
2505 /* Build argument list for the vectorized call. */
2506 if (j == 0)
2507 vargs.create (nargs * 2);
2508 else
2509 vargs.truncate (0);
2511 if (slp_node)
2513 auto_vec<vec<tree> > vec_defs (nargs);
2514 vec<tree> vec_oprnds0;
2516 for (i = 0; i < nargs; i++)
2517 vargs.quick_push (gimple_call_arg (stmt, i));
2518 vect_get_slp_defs (vargs, slp_node, &vec_defs, -1);
2519 vec_oprnds0 = vec_defs[0];
2521 /* Arguments are ready. Create the new vector stmt. */
2522 for (i = 0; vec_oprnds0.iterate (i, &vec_oprnd0); i += 2)
2524 size_t k;
2525 vargs.truncate (0);
2526 for (k = 0; k < nargs; k++)
2528 vec<tree> vec_oprndsk = vec_defs[k];
2529 vargs.quick_push (vec_oprndsk[i]);
2530 vargs.quick_push (vec_oprndsk[i + 1]);
2532 new_stmt = gimple_build_call_vec (fndecl, vargs);
2533 new_temp = make_ssa_name (vec_dest, new_stmt);
2534 gimple_call_set_lhs (new_stmt, new_temp);
2535 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2536 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
2539 for (i = 0; i < nargs; i++)
2541 vec<tree> vec_oprndsi = vec_defs[i];
2542 vec_oprndsi.release ();
2544 continue;
2547 for (i = 0; i < nargs; i++)
2549 op = gimple_call_arg (stmt, i);
2550 if (j == 0)
2552 vec_oprnd0
2553 = vect_get_vec_def_for_operand (op, stmt, NULL);
2554 vec_oprnd1
2555 = vect_get_vec_def_for_stmt_copy (dt[i], vec_oprnd0);
2557 else
2559 vec_oprnd1 = gimple_call_arg (new_stmt, 2*i + 1);
2560 vec_oprnd0
2561 = vect_get_vec_def_for_stmt_copy (dt[i], vec_oprnd1);
2562 vec_oprnd1
2563 = vect_get_vec_def_for_stmt_copy (dt[i], vec_oprnd0);
2566 vargs.quick_push (vec_oprnd0);
2567 vargs.quick_push (vec_oprnd1);
2570 new_stmt = gimple_build_call_vec (fndecl, vargs);
2571 new_temp = make_ssa_name (vec_dest, new_stmt);
2572 gimple_call_set_lhs (new_stmt, new_temp);
2573 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2575 if (j == 0)
2576 STMT_VINFO_VEC_STMT (stmt_info) = new_stmt;
2577 else
2578 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
2580 prev_stmt_info = vinfo_for_stmt (new_stmt);
2583 *vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
2585 break;
2587 case WIDEN:
2588 /* No current target implements this case. */
2589 return false;
2592 vargs.release ();
2594 /* The call in STMT might prevent it from being removed in dce.
2595 We however cannot remove it here, due to the way the ssa name
2596 it defines is mapped to the new definition. So just replace
2597 rhs of the statement with something harmless. */
2599 if (slp_node)
2600 return true;
2602 type = TREE_TYPE (scalar_dest);
2603 if (is_pattern_stmt_p (stmt_info))
2604 lhs = gimple_call_lhs (STMT_VINFO_RELATED_STMT (stmt_info));
2605 else
2606 lhs = gimple_call_lhs (stmt);
2607 new_stmt = gimple_build_assign (lhs, build_zero_cst (type));
2608 set_vinfo_for_stmt (new_stmt, stmt_info);
2609 set_vinfo_for_stmt (stmt, NULL);
2610 STMT_VINFO_STMT (stmt_info) = new_stmt;
2611 gsi_replace (gsi, new_stmt, false);
2613 return true;
2617 struct simd_call_arg_info
2619 tree vectype;
2620 tree op;
2621 enum vect_def_type dt;
2622 HOST_WIDE_INT linear_step;
2623 unsigned int align;
2626 /* Function vectorizable_simd_clone_call.
2628 Check if STMT performs a function call that can be vectorized
2629 by calling a simd clone of the function.
2630 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
2631 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
2632 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
2634 static bool
2635 vectorizable_simd_clone_call (gimple stmt, gimple_stmt_iterator *gsi,
2636 gimple *vec_stmt, slp_tree slp_node)
2638 tree vec_dest;
2639 tree scalar_dest;
2640 tree op, type;
2641 tree vec_oprnd0 = NULL_TREE;
2642 stmt_vec_info stmt_info = vinfo_for_stmt (stmt), prev_stmt_info;
2643 tree vectype;
2644 unsigned int nunits;
2645 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
2646 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
2647 struct loop *loop = loop_vinfo ? LOOP_VINFO_LOOP (loop_vinfo) : NULL;
2648 tree fndecl, new_temp, def;
2649 gimple def_stmt;
2650 gimple new_stmt = NULL;
2651 int ncopies, j;
2652 vec<simd_call_arg_info> arginfo = vNULL;
2653 vec<tree> vargs = vNULL;
2654 size_t i, nargs;
2655 tree lhs, rtype, ratype;
2656 vec<constructor_elt, va_gc> *ret_ctor_elts;
2658 /* Is STMT a vectorizable call? */
2659 if (!is_gimple_call (stmt))
2660 return false;
2662 fndecl = gimple_call_fndecl (stmt);
2663 if (fndecl == NULL_TREE)
2664 return false;
2666 struct cgraph_node *node = cgraph_node::get (fndecl);
2667 if (node == NULL || node->simd_clones == NULL)
2668 return false;
2670 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
2671 return false;
2673 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
2674 return false;
2676 if (gimple_call_lhs (stmt)
2677 && TREE_CODE (gimple_call_lhs (stmt)) != SSA_NAME)
2678 return false;
2680 gcc_checking_assert (!stmt_can_throw_internal (stmt));
2682 vectype = STMT_VINFO_VECTYPE (stmt_info);
2684 if (loop_vinfo && nested_in_vect_loop_p (loop, stmt))
2685 return false;
2687 /* FORNOW */
2688 if (slp_node || PURE_SLP_STMT (stmt_info))
2689 return false;
2691 /* Process function arguments. */
2692 nargs = gimple_call_num_args (stmt);
2694 /* Bail out if the function has zero arguments. */
2695 if (nargs == 0)
2696 return false;
2698 arginfo.create (nargs);
2700 for (i = 0; i < nargs; i++)
2702 simd_call_arg_info thisarginfo;
2703 affine_iv iv;
2705 thisarginfo.linear_step = 0;
2706 thisarginfo.align = 0;
2707 thisarginfo.op = NULL_TREE;
2709 op = gimple_call_arg (stmt, i);
2710 if (!vect_is_simple_use_1 (op, stmt, loop_vinfo, bb_vinfo,
2711 &def_stmt, &def, &thisarginfo.dt,
2712 &thisarginfo.vectype)
2713 || thisarginfo.dt == vect_uninitialized_def)
2715 if (dump_enabled_p ())
2716 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
2717 "use not simple.\n");
2718 arginfo.release ();
2719 return false;
2722 if (thisarginfo.dt == vect_constant_def
2723 || thisarginfo.dt == vect_external_def)
2724 gcc_assert (thisarginfo.vectype == NULL_TREE);
2725 else
2726 gcc_assert (thisarginfo.vectype != NULL_TREE);
2728 /* For linear arguments, the analyze phase should have saved
2729 the base and step in STMT_VINFO_SIMD_CLONE_INFO. */
2730 if (i * 2 + 3 <= STMT_VINFO_SIMD_CLONE_INFO (stmt_info).length ()
2731 && STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[i * 2 + 2])
2733 gcc_assert (vec_stmt);
2734 thisarginfo.linear_step
2735 = tree_to_shwi (STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[i * 2 + 2]);
2736 thisarginfo.op
2737 = STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[i * 2 + 1];
2738 /* If loop has been peeled for alignment, we need to adjust it. */
2739 tree n1 = LOOP_VINFO_NITERS_UNCHANGED (loop_vinfo);
2740 tree n2 = LOOP_VINFO_NITERS (loop_vinfo);
2741 if (n1 != n2)
2743 tree bias = fold_build2 (MINUS_EXPR, TREE_TYPE (n1), n1, n2);
2744 tree step = STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[i * 2 + 2];
2745 tree opt = TREE_TYPE (thisarginfo.op);
2746 bias = fold_convert (TREE_TYPE (step), bias);
2747 bias = fold_build2 (MULT_EXPR, TREE_TYPE (step), bias, step);
2748 thisarginfo.op
2749 = fold_build2 (POINTER_TYPE_P (opt)
2750 ? POINTER_PLUS_EXPR : PLUS_EXPR, opt,
2751 thisarginfo.op, bias);
2754 else if (!vec_stmt
2755 && thisarginfo.dt != vect_constant_def
2756 && thisarginfo.dt != vect_external_def
2757 && loop_vinfo
2758 && TREE_CODE (op) == SSA_NAME
2759 && simple_iv (loop, loop_containing_stmt (stmt), op,
2760 &iv, false)
2761 && tree_fits_shwi_p (iv.step))
2763 thisarginfo.linear_step = tree_to_shwi (iv.step);
2764 thisarginfo.op = iv.base;
2766 else if ((thisarginfo.dt == vect_constant_def
2767 || thisarginfo.dt == vect_external_def)
2768 && POINTER_TYPE_P (TREE_TYPE (op)))
2769 thisarginfo.align = get_pointer_alignment (op) / BITS_PER_UNIT;
2771 arginfo.quick_push (thisarginfo);
2774 unsigned int badness = 0;
2775 struct cgraph_node *bestn = NULL;
2776 if (STMT_VINFO_SIMD_CLONE_INFO (stmt_info).exists ())
2777 bestn = cgraph_node::get (STMT_VINFO_SIMD_CLONE_INFO (stmt_info)[0]);
2778 else
2779 for (struct cgraph_node *n = node->simd_clones; n != NULL;
2780 n = n->simdclone->next_clone)
2782 unsigned int this_badness = 0;
2783 if (n->simdclone->simdlen
2784 > (unsigned) LOOP_VINFO_VECT_FACTOR (loop_vinfo)
2785 || n->simdclone->nargs != nargs)
2786 continue;
2787 if (n->simdclone->simdlen
2788 < (unsigned) LOOP_VINFO_VECT_FACTOR (loop_vinfo))
2789 this_badness += (exact_log2 (LOOP_VINFO_VECT_FACTOR (loop_vinfo))
2790 - exact_log2 (n->simdclone->simdlen)) * 1024;
2791 if (n->simdclone->inbranch)
2792 this_badness += 2048;
2793 int target_badness = targetm.simd_clone.usable (n);
2794 if (target_badness < 0)
2795 continue;
2796 this_badness += target_badness * 512;
2797 /* FORNOW: Have to add code to add the mask argument. */
2798 if (n->simdclone->inbranch)
2799 continue;
2800 for (i = 0; i < nargs; i++)
2802 switch (n->simdclone->args[i].arg_type)
2804 case SIMD_CLONE_ARG_TYPE_VECTOR:
2805 if (!useless_type_conversion_p
2806 (n->simdclone->args[i].orig_type,
2807 TREE_TYPE (gimple_call_arg (stmt, i))))
2808 i = -1;
2809 else if (arginfo[i].dt == vect_constant_def
2810 || arginfo[i].dt == vect_external_def
2811 || arginfo[i].linear_step)
2812 this_badness += 64;
2813 break;
2814 case SIMD_CLONE_ARG_TYPE_UNIFORM:
2815 if (arginfo[i].dt != vect_constant_def
2816 && arginfo[i].dt != vect_external_def)
2817 i = -1;
2818 break;
2819 case SIMD_CLONE_ARG_TYPE_LINEAR_CONSTANT_STEP:
2820 if (arginfo[i].dt == vect_constant_def
2821 || arginfo[i].dt == vect_external_def
2822 || (arginfo[i].linear_step
2823 != n->simdclone->args[i].linear_step))
2824 i = -1;
2825 break;
2826 case SIMD_CLONE_ARG_TYPE_LINEAR_VARIABLE_STEP:
2827 /* FORNOW */
2828 i = -1;
2829 break;
2830 case SIMD_CLONE_ARG_TYPE_MASK:
2831 gcc_unreachable ();
2833 if (i == (size_t) -1)
2834 break;
2835 if (n->simdclone->args[i].alignment > arginfo[i].align)
2837 i = -1;
2838 break;
2840 if (arginfo[i].align)
2841 this_badness += (exact_log2 (arginfo[i].align)
2842 - exact_log2 (n->simdclone->args[i].alignment));
2844 if (i == (size_t) -1)
2845 continue;
2846 if (bestn == NULL || this_badness < badness)
2848 bestn = n;
2849 badness = this_badness;
2853 if (bestn == NULL)
2855 arginfo.release ();
2856 return false;
2859 for (i = 0; i < nargs; i++)
2860 if ((arginfo[i].dt == vect_constant_def
2861 || arginfo[i].dt == vect_external_def)
2862 && bestn->simdclone->args[i].arg_type == SIMD_CLONE_ARG_TYPE_VECTOR)
2864 arginfo[i].vectype
2865 = get_vectype_for_scalar_type (TREE_TYPE (gimple_call_arg (stmt,
2866 i)));
2867 if (arginfo[i].vectype == NULL
2868 || (TYPE_VECTOR_SUBPARTS (arginfo[i].vectype)
2869 > bestn->simdclone->simdlen))
2871 arginfo.release ();
2872 return false;
2876 fndecl = bestn->decl;
2877 nunits = bestn->simdclone->simdlen;
2878 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
2880 /* If the function isn't const, only allow it in simd loops where user
2881 has asserted that at least nunits consecutive iterations can be
2882 performed using SIMD instructions. */
2883 if ((loop == NULL || (unsigned) loop->safelen < nunits)
2884 && gimple_vuse (stmt))
2886 arginfo.release ();
2887 return false;
2890 /* Sanity check: make sure that at least one copy of the vectorized stmt
2891 needs to be generated. */
2892 gcc_assert (ncopies >= 1);
2894 if (!vec_stmt) /* transformation not required. */
2896 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).safe_push (bestn->decl);
2897 for (i = 0; i < nargs; i++)
2898 if (bestn->simdclone->args[i].arg_type
2899 == SIMD_CLONE_ARG_TYPE_LINEAR_CONSTANT_STEP)
2901 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).safe_grow_cleared (i * 2
2902 + 1);
2903 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).safe_push (arginfo[i].op);
2904 tree lst = POINTER_TYPE_P (TREE_TYPE (arginfo[i].op))
2905 ? size_type_node : TREE_TYPE (arginfo[i].op);
2906 tree ls = build_int_cst (lst, arginfo[i].linear_step);
2907 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).safe_push (ls);
2909 STMT_VINFO_TYPE (stmt_info) = call_simd_clone_vec_info_type;
2910 if (dump_enabled_p ())
2911 dump_printf_loc (MSG_NOTE, vect_location,
2912 "=== vectorizable_simd_clone_call ===\n");
2913 /* vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL); */
2914 arginfo.release ();
2915 return true;
2918 /** Transform. **/
2920 if (dump_enabled_p ())
2921 dump_printf_loc (MSG_NOTE, vect_location, "transform call.\n");
2923 /* Handle def. */
2924 scalar_dest = gimple_call_lhs (stmt);
2925 vec_dest = NULL_TREE;
2926 rtype = NULL_TREE;
2927 ratype = NULL_TREE;
2928 if (scalar_dest)
2930 vec_dest = vect_create_destination_var (scalar_dest, vectype);
2931 rtype = TREE_TYPE (TREE_TYPE (fndecl));
2932 if (TREE_CODE (rtype) == ARRAY_TYPE)
2934 ratype = rtype;
2935 rtype = TREE_TYPE (ratype);
2939 prev_stmt_info = NULL;
2940 for (j = 0; j < ncopies; ++j)
2942 /* Build argument list for the vectorized call. */
2943 if (j == 0)
2944 vargs.create (nargs);
2945 else
2946 vargs.truncate (0);
2948 for (i = 0; i < nargs; i++)
2950 unsigned int k, l, m, o;
2951 tree atype;
2952 op = gimple_call_arg (stmt, i);
2953 switch (bestn->simdclone->args[i].arg_type)
2955 case SIMD_CLONE_ARG_TYPE_VECTOR:
2956 atype = bestn->simdclone->args[i].vector_type;
2957 o = nunits / TYPE_VECTOR_SUBPARTS (atype);
2958 for (m = j * o; m < (j + 1) * o; m++)
2960 if (TYPE_VECTOR_SUBPARTS (atype)
2961 < TYPE_VECTOR_SUBPARTS (arginfo[i].vectype))
2963 unsigned int prec = GET_MODE_BITSIZE (TYPE_MODE (atype));
2964 k = (TYPE_VECTOR_SUBPARTS (arginfo[i].vectype)
2965 / TYPE_VECTOR_SUBPARTS (atype));
2966 gcc_assert ((k & (k - 1)) == 0);
2967 if (m == 0)
2968 vec_oprnd0
2969 = vect_get_vec_def_for_operand (op, stmt, NULL);
2970 else
2972 vec_oprnd0 = arginfo[i].op;
2973 if ((m & (k - 1)) == 0)
2974 vec_oprnd0
2975 = vect_get_vec_def_for_stmt_copy (arginfo[i].dt,
2976 vec_oprnd0);
2978 arginfo[i].op = vec_oprnd0;
2979 vec_oprnd0
2980 = build3 (BIT_FIELD_REF, atype, vec_oprnd0,
2981 size_int (prec),
2982 bitsize_int ((m & (k - 1)) * prec));
2983 new_stmt
2984 = gimple_build_assign (make_ssa_name (atype),
2985 vec_oprnd0);
2986 vect_finish_stmt_generation (stmt, new_stmt, gsi);
2987 vargs.safe_push (gimple_assign_lhs (new_stmt));
2989 else
2991 k = (TYPE_VECTOR_SUBPARTS (atype)
2992 / TYPE_VECTOR_SUBPARTS (arginfo[i].vectype));
2993 gcc_assert ((k & (k - 1)) == 0);
2994 vec<constructor_elt, va_gc> *ctor_elts;
2995 if (k != 1)
2996 vec_alloc (ctor_elts, k);
2997 else
2998 ctor_elts = NULL;
2999 for (l = 0; l < k; l++)
3001 if (m == 0 && l == 0)
3002 vec_oprnd0
3003 = vect_get_vec_def_for_operand (op, stmt, NULL);
3004 else
3005 vec_oprnd0
3006 = vect_get_vec_def_for_stmt_copy (arginfo[i].dt,
3007 arginfo[i].op);
3008 arginfo[i].op = vec_oprnd0;
3009 if (k == 1)
3010 break;
3011 CONSTRUCTOR_APPEND_ELT (ctor_elts, NULL_TREE,
3012 vec_oprnd0);
3014 if (k == 1)
3015 vargs.safe_push (vec_oprnd0);
3016 else
3018 vec_oprnd0 = build_constructor (atype, ctor_elts);
3019 new_stmt
3020 = gimple_build_assign (make_ssa_name (atype),
3021 vec_oprnd0);
3022 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3023 vargs.safe_push (gimple_assign_lhs (new_stmt));
3027 break;
3028 case SIMD_CLONE_ARG_TYPE_UNIFORM:
3029 vargs.safe_push (op);
3030 break;
3031 case SIMD_CLONE_ARG_TYPE_LINEAR_CONSTANT_STEP:
3032 if (j == 0)
3034 gimple_seq stmts;
3035 arginfo[i].op
3036 = force_gimple_operand (arginfo[i].op, &stmts, true,
3037 NULL_TREE);
3038 if (stmts != NULL)
3040 basic_block new_bb;
3041 edge pe = loop_preheader_edge (loop);
3042 new_bb = gsi_insert_seq_on_edge_immediate (pe, stmts);
3043 gcc_assert (!new_bb);
3045 tree phi_res = copy_ssa_name (op);
3046 gphi *new_phi = create_phi_node (phi_res, loop->header);
3047 set_vinfo_for_stmt (new_phi,
3048 new_stmt_vec_info (new_phi, loop_vinfo,
3049 NULL));
3050 add_phi_arg (new_phi, arginfo[i].op,
3051 loop_preheader_edge (loop), UNKNOWN_LOCATION);
3052 enum tree_code code
3053 = POINTER_TYPE_P (TREE_TYPE (op))
3054 ? POINTER_PLUS_EXPR : PLUS_EXPR;
3055 tree type = POINTER_TYPE_P (TREE_TYPE (op))
3056 ? sizetype : TREE_TYPE (op);
3057 widest_int cst
3058 = wi::mul (bestn->simdclone->args[i].linear_step,
3059 ncopies * nunits);
3060 tree tcst = wide_int_to_tree (type, cst);
3061 tree phi_arg = copy_ssa_name (op);
3062 new_stmt
3063 = gimple_build_assign (phi_arg, code, phi_res, tcst);
3064 gimple_stmt_iterator si = gsi_after_labels (loop->header);
3065 gsi_insert_after (&si, new_stmt, GSI_NEW_STMT);
3066 set_vinfo_for_stmt (new_stmt,
3067 new_stmt_vec_info (new_stmt, loop_vinfo,
3068 NULL));
3069 add_phi_arg (new_phi, phi_arg, loop_latch_edge (loop),
3070 UNKNOWN_LOCATION);
3071 arginfo[i].op = phi_res;
3072 vargs.safe_push (phi_res);
3074 else
3076 enum tree_code code
3077 = POINTER_TYPE_P (TREE_TYPE (op))
3078 ? POINTER_PLUS_EXPR : PLUS_EXPR;
3079 tree type = POINTER_TYPE_P (TREE_TYPE (op))
3080 ? sizetype : TREE_TYPE (op);
3081 widest_int cst
3082 = wi::mul (bestn->simdclone->args[i].linear_step,
3083 j * nunits);
3084 tree tcst = wide_int_to_tree (type, cst);
3085 new_temp = make_ssa_name (TREE_TYPE (op));
3086 new_stmt = gimple_build_assign (new_temp, code,
3087 arginfo[i].op, tcst);
3088 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3089 vargs.safe_push (new_temp);
3091 break;
3092 case SIMD_CLONE_ARG_TYPE_LINEAR_VARIABLE_STEP:
3093 default:
3094 gcc_unreachable ();
3098 new_stmt = gimple_build_call_vec (fndecl, vargs);
3099 if (vec_dest)
3101 gcc_assert (ratype || TYPE_VECTOR_SUBPARTS (rtype) == nunits);
3102 if (ratype)
3103 new_temp = create_tmp_var (ratype);
3104 else if (TYPE_VECTOR_SUBPARTS (vectype)
3105 == TYPE_VECTOR_SUBPARTS (rtype))
3106 new_temp = make_ssa_name (vec_dest, new_stmt);
3107 else
3108 new_temp = make_ssa_name (rtype, new_stmt);
3109 gimple_call_set_lhs (new_stmt, new_temp);
3111 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3113 if (vec_dest)
3115 if (TYPE_VECTOR_SUBPARTS (vectype) < nunits)
3117 unsigned int k, l;
3118 unsigned int prec = GET_MODE_BITSIZE (TYPE_MODE (vectype));
3119 k = nunits / TYPE_VECTOR_SUBPARTS (vectype);
3120 gcc_assert ((k & (k - 1)) == 0);
3121 for (l = 0; l < k; l++)
3123 tree t;
3124 if (ratype)
3126 t = build_fold_addr_expr (new_temp);
3127 t = build2 (MEM_REF, vectype, t,
3128 build_int_cst (TREE_TYPE (t),
3129 l * prec / BITS_PER_UNIT));
3131 else
3132 t = build3 (BIT_FIELD_REF, vectype, new_temp,
3133 size_int (prec), bitsize_int (l * prec));
3134 new_stmt
3135 = gimple_build_assign (make_ssa_name (vectype), t);
3136 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3137 if (j == 0 && l == 0)
3138 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
3139 else
3140 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
3142 prev_stmt_info = vinfo_for_stmt (new_stmt);
3145 if (ratype)
3147 tree clobber = build_constructor (ratype, NULL);
3148 TREE_THIS_VOLATILE (clobber) = 1;
3149 new_stmt = gimple_build_assign (new_temp, clobber);
3150 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3152 continue;
3154 else if (TYPE_VECTOR_SUBPARTS (vectype) > nunits)
3156 unsigned int k = (TYPE_VECTOR_SUBPARTS (vectype)
3157 / TYPE_VECTOR_SUBPARTS (rtype));
3158 gcc_assert ((k & (k - 1)) == 0);
3159 if ((j & (k - 1)) == 0)
3160 vec_alloc (ret_ctor_elts, k);
3161 if (ratype)
3163 unsigned int m, o = nunits / TYPE_VECTOR_SUBPARTS (rtype);
3164 for (m = 0; m < o; m++)
3166 tree tem = build4 (ARRAY_REF, rtype, new_temp,
3167 size_int (m), NULL_TREE, NULL_TREE);
3168 new_stmt
3169 = gimple_build_assign (make_ssa_name (rtype), tem);
3170 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3171 CONSTRUCTOR_APPEND_ELT (ret_ctor_elts, NULL_TREE,
3172 gimple_assign_lhs (new_stmt));
3174 tree clobber = build_constructor (ratype, NULL);
3175 TREE_THIS_VOLATILE (clobber) = 1;
3176 new_stmt = gimple_build_assign (new_temp, clobber);
3177 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3179 else
3180 CONSTRUCTOR_APPEND_ELT (ret_ctor_elts, NULL_TREE, new_temp);
3181 if ((j & (k - 1)) != k - 1)
3182 continue;
3183 vec_oprnd0 = build_constructor (vectype, ret_ctor_elts);
3184 new_stmt
3185 = gimple_build_assign (make_ssa_name (vec_dest), vec_oprnd0);
3186 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3188 if ((unsigned) j == k - 1)
3189 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
3190 else
3191 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
3193 prev_stmt_info = vinfo_for_stmt (new_stmt);
3194 continue;
3196 else if (ratype)
3198 tree t = build_fold_addr_expr (new_temp);
3199 t = build2 (MEM_REF, vectype, t,
3200 build_int_cst (TREE_TYPE (t), 0));
3201 new_stmt
3202 = gimple_build_assign (make_ssa_name (vec_dest), t);
3203 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3204 tree clobber = build_constructor (ratype, NULL);
3205 TREE_THIS_VOLATILE (clobber) = 1;
3206 vect_finish_stmt_generation (stmt,
3207 gimple_build_assign (new_temp,
3208 clobber), gsi);
3212 if (j == 0)
3213 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
3214 else
3215 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
3217 prev_stmt_info = vinfo_for_stmt (new_stmt);
3220 vargs.release ();
3222 /* The call in STMT might prevent it from being removed in dce.
3223 We however cannot remove it here, due to the way the ssa name
3224 it defines is mapped to the new definition. So just replace
3225 rhs of the statement with something harmless. */
3227 if (slp_node)
3228 return true;
3230 if (scalar_dest)
3232 type = TREE_TYPE (scalar_dest);
3233 if (is_pattern_stmt_p (stmt_info))
3234 lhs = gimple_call_lhs (STMT_VINFO_RELATED_STMT (stmt_info));
3235 else
3236 lhs = gimple_call_lhs (stmt);
3237 new_stmt = gimple_build_assign (lhs, build_zero_cst (type));
3239 else
3240 new_stmt = gimple_build_nop ();
3241 set_vinfo_for_stmt (new_stmt, stmt_info);
3242 set_vinfo_for_stmt (stmt, NULL);
3243 STMT_VINFO_STMT (stmt_info) = new_stmt;
3244 gsi_replace (gsi, new_stmt, true);
3245 unlink_stmt_vdef (stmt);
3247 return true;
3251 /* Function vect_gen_widened_results_half
3253 Create a vector stmt whose code, type, number of arguments, and result
3254 variable are CODE, OP_TYPE, and VEC_DEST, and its arguments are
3255 VEC_OPRND0 and VEC_OPRND1. The new vector stmt is to be inserted at BSI.
3256 In the case that CODE is a CALL_EXPR, this means that a call to DECL
3257 needs to be created (DECL is a function-decl of a target-builtin).
3258 STMT is the original scalar stmt that we are vectorizing. */
3260 static gimple
3261 vect_gen_widened_results_half (enum tree_code code,
3262 tree decl,
3263 tree vec_oprnd0, tree vec_oprnd1, int op_type,
3264 tree vec_dest, gimple_stmt_iterator *gsi,
3265 gimple stmt)
3267 gimple new_stmt;
3268 tree new_temp;
3270 /* Generate half of the widened result: */
3271 if (code == CALL_EXPR)
3273 /* Target specific support */
3274 if (op_type == binary_op)
3275 new_stmt = gimple_build_call (decl, 2, vec_oprnd0, vec_oprnd1);
3276 else
3277 new_stmt = gimple_build_call (decl, 1, vec_oprnd0);
3278 new_temp = make_ssa_name (vec_dest, new_stmt);
3279 gimple_call_set_lhs (new_stmt, new_temp);
3281 else
3283 /* Generic support */
3284 gcc_assert (op_type == TREE_CODE_LENGTH (code));
3285 if (op_type != binary_op)
3286 vec_oprnd1 = NULL;
3287 new_stmt = gimple_build_assign (vec_dest, code, vec_oprnd0, vec_oprnd1);
3288 new_temp = make_ssa_name (vec_dest, new_stmt);
3289 gimple_assign_set_lhs (new_stmt, new_temp);
3291 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3293 return new_stmt;
3297 /* Get vectorized definitions for loop-based vectorization. For the first
3298 operand we call vect_get_vec_def_for_operand() (with OPRND containing
3299 scalar operand), and for the rest we get a copy with
3300 vect_get_vec_def_for_stmt_copy() using the previous vector definition
3301 (stored in OPRND). See vect_get_vec_def_for_stmt_copy() for details.
3302 The vectors are collected into VEC_OPRNDS. */
3304 static void
3305 vect_get_loop_based_defs (tree *oprnd, gimple stmt, enum vect_def_type dt,
3306 vec<tree> *vec_oprnds, int multi_step_cvt)
3308 tree vec_oprnd;
3310 /* Get first vector operand. */
3311 /* All the vector operands except the very first one (that is scalar oprnd)
3312 are stmt copies. */
3313 if (TREE_CODE (TREE_TYPE (*oprnd)) != VECTOR_TYPE)
3314 vec_oprnd = vect_get_vec_def_for_operand (*oprnd, stmt, NULL);
3315 else
3316 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt, *oprnd);
3318 vec_oprnds->quick_push (vec_oprnd);
3320 /* Get second vector operand. */
3321 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt, vec_oprnd);
3322 vec_oprnds->quick_push (vec_oprnd);
3324 *oprnd = vec_oprnd;
3326 /* For conversion in multiple steps, continue to get operands
3327 recursively. */
3328 if (multi_step_cvt)
3329 vect_get_loop_based_defs (oprnd, stmt, dt, vec_oprnds, multi_step_cvt - 1);
3333 /* Create vectorized demotion statements for vector operands from VEC_OPRNDS.
3334 For multi-step conversions store the resulting vectors and call the function
3335 recursively. */
3337 static void
3338 vect_create_vectorized_demotion_stmts (vec<tree> *vec_oprnds,
3339 int multi_step_cvt, gimple stmt,
3340 vec<tree> vec_dsts,
3341 gimple_stmt_iterator *gsi,
3342 slp_tree slp_node, enum tree_code code,
3343 stmt_vec_info *prev_stmt_info)
3345 unsigned int i;
3346 tree vop0, vop1, new_tmp, vec_dest;
3347 gimple new_stmt;
3348 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
3350 vec_dest = vec_dsts.pop ();
3352 for (i = 0; i < vec_oprnds->length (); i += 2)
3354 /* Create demotion operation. */
3355 vop0 = (*vec_oprnds)[i];
3356 vop1 = (*vec_oprnds)[i + 1];
3357 new_stmt = gimple_build_assign (vec_dest, code, vop0, vop1);
3358 new_tmp = make_ssa_name (vec_dest, new_stmt);
3359 gimple_assign_set_lhs (new_stmt, new_tmp);
3360 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3362 if (multi_step_cvt)
3363 /* Store the resulting vector for next recursive call. */
3364 (*vec_oprnds)[i/2] = new_tmp;
3365 else
3367 /* This is the last step of the conversion sequence. Store the
3368 vectors in SLP_NODE or in vector info of the scalar statement
3369 (or in STMT_VINFO_RELATED_STMT chain). */
3370 if (slp_node)
3371 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
3372 else
3374 if (!*prev_stmt_info)
3375 STMT_VINFO_VEC_STMT (stmt_info) = new_stmt;
3376 else
3377 STMT_VINFO_RELATED_STMT (*prev_stmt_info) = new_stmt;
3379 *prev_stmt_info = vinfo_for_stmt (new_stmt);
3384 /* For multi-step demotion operations we first generate demotion operations
3385 from the source type to the intermediate types, and then combine the
3386 results (stored in VEC_OPRNDS) in demotion operation to the destination
3387 type. */
3388 if (multi_step_cvt)
3390 /* At each level of recursion we have half of the operands we had at the
3391 previous level. */
3392 vec_oprnds->truncate ((i+1)/2);
3393 vect_create_vectorized_demotion_stmts (vec_oprnds, multi_step_cvt - 1,
3394 stmt, vec_dsts, gsi, slp_node,
3395 VEC_PACK_TRUNC_EXPR,
3396 prev_stmt_info);
3399 vec_dsts.quick_push (vec_dest);
3403 /* Create vectorized promotion statements for vector operands from VEC_OPRNDS0
3404 and VEC_OPRNDS1 (for binary operations). For multi-step conversions store
3405 the resulting vectors and call the function recursively. */
3407 static void
3408 vect_create_vectorized_promotion_stmts (vec<tree> *vec_oprnds0,
3409 vec<tree> *vec_oprnds1,
3410 gimple stmt, tree vec_dest,
3411 gimple_stmt_iterator *gsi,
3412 enum tree_code code1,
3413 enum tree_code code2, tree decl1,
3414 tree decl2, int op_type)
3416 int i;
3417 tree vop0, vop1, new_tmp1, new_tmp2;
3418 gimple new_stmt1, new_stmt2;
3419 vec<tree> vec_tmp = vNULL;
3421 vec_tmp.create (vec_oprnds0->length () * 2);
3422 FOR_EACH_VEC_ELT (*vec_oprnds0, i, vop0)
3424 if (op_type == binary_op)
3425 vop1 = (*vec_oprnds1)[i];
3426 else
3427 vop1 = NULL_TREE;
3429 /* Generate the two halves of promotion operation. */
3430 new_stmt1 = vect_gen_widened_results_half (code1, decl1, vop0, vop1,
3431 op_type, vec_dest, gsi, stmt);
3432 new_stmt2 = vect_gen_widened_results_half (code2, decl2, vop0, vop1,
3433 op_type, vec_dest, gsi, stmt);
3434 if (is_gimple_call (new_stmt1))
3436 new_tmp1 = gimple_call_lhs (new_stmt1);
3437 new_tmp2 = gimple_call_lhs (new_stmt2);
3439 else
3441 new_tmp1 = gimple_assign_lhs (new_stmt1);
3442 new_tmp2 = gimple_assign_lhs (new_stmt2);
3445 /* Store the results for the next step. */
3446 vec_tmp.quick_push (new_tmp1);
3447 vec_tmp.quick_push (new_tmp2);
3450 vec_oprnds0->release ();
3451 *vec_oprnds0 = vec_tmp;
3455 /* Check if STMT performs a conversion operation, that can be vectorized.
3456 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
3457 stmt to replace it, put it in VEC_STMT, and insert it at GSI.
3458 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
3460 static bool
3461 vectorizable_conversion (gimple stmt, gimple_stmt_iterator *gsi,
3462 gimple *vec_stmt, slp_tree slp_node)
3464 tree vec_dest;
3465 tree scalar_dest;
3466 tree op0, op1 = NULL_TREE;
3467 tree vec_oprnd0 = NULL_TREE, vec_oprnd1 = NULL_TREE;
3468 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
3469 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
3470 enum tree_code code, code1 = ERROR_MARK, code2 = ERROR_MARK;
3471 enum tree_code codecvt1 = ERROR_MARK, codecvt2 = ERROR_MARK;
3472 tree decl1 = NULL_TREE, decl2 = NULL_TREE;
3473 tree new_temp;
3474 tree def;
3475 gimple def_stmt;
3476 enum vect_def_type dt[2] = {vect_unknown_def_type, vect_unknown_def_type};
3477 gimple new_stmt = NULL;
3478 stmt_vec_info prev_stmt_info;
3479 int nunits_in;
3480 int nunits_out;
3481 tree vectype_out, vectype_in;
3482 int ncopies, i, j;
3483 tree lhs_type, rhs_type;
3484 enum { NARROW, NONE, WIDEN } modifier;
3485 vec<tree> vec_oprnds0 = vNULL;
3486 vec<tree> vec_oprnds1 = vNULL;
3487 tree vop0;
3488 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
3489 int multi_step_cvt = 0;
3490 vec<tree> vec_dsts = vNULL;
3491 vec<tree> interm_types = vNULL;
3492 tree last_oprnd, intermediate_type, cvt_type = NULL_TREE;
3493 int op_type;
3494 machine_mode rhs_mode;
3495 unsigned short fltsz;
3497 /* Is STMT a vectorizable conversion? */
3499 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
3500 return false;
3502 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
3503 return false;
3505 if (!is_gimple_assign (stmt))
3506 return false;
3508 if (TREE_CODE (gimple_assign_lhs (stmt)) != SSA_NAME)
3509 return false;
3511 code = gimple_assign_rhs_code (stmt);
3512 if (!CONVERT_EXPR_CODE_P (code)
3513 && code != FIX_TRUNC_EXPR
3514 && code != FLOAT_EXPR
3515 && code != WIDEN_MULT_EXPR
3516 && code != WIDEN_LSHIFT_EXPR)
3517 return false;
3519 op_type = TREE_CODE_LENGTH (code);
3521 /* Check types of lhs and rhs. */
3522 scalar_dest = gimple_assign_lhs (stmt);
3523 lhs_type = TREE_TYPE (scalar_dest);
3524 vectype_out = STMT_VINFO_VECTYPE (stmt_info);
3526 op0 = gimple_assign_rhs1 (stmt);
3527 rhs_type = TREE_TYPE (op0);
3529 if ((code != FIX_TRUNC_EXPR && code != FLOAT_EXPR)
3530 && !((INTEGRAL_TYPE_P (lhs_type)
3531 && INTEGRAL_TYPE_P (rhs_type))
3532 || (SCALAR_FLOAT_TYPE_P (lhs_type)
3533 && SCALAR_FLOAT_TYPE_P (rhs_type))))
3534 return false;
3536 if ((INTEGRAL_TYPE_P (lhs_type)
3537 && (TYPE_PRECISION (lhs_type)
3538 != GET_MODE_PRECISION (TYPE_MODE (lhs_type))))
3539 || (INTEGRAL_TYPE_P (rhs_type)
3540 && (TYPE_PRECISION (rhs_type)
3541 != GET_MODE_PRECISION (TYPE_MODE (rhs_type)))))
3543 if (dump_enabled_p ())
3544 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
3545 "type conversion to/from bit-precision unsupported."
3546 "\n");
3547 return false;
3550 /* Check the operands of the operation. */
3551 if (!vect_is_simple_use_1 (op0, stmt, loop_vinfo, bb_vinfo,
3552 &def_stmt, &def, &dt[0], &vectype_in))
3554 if (dump_enabled_p ())
3555 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
3556 "use not simple.\n");
3557 return false;
3559 if (op_type == binary_op)
3561 bool ok;
3563 op1 = gimple_assign_rhs2 (stmt);
3564 gcc_assert (code == WIDEN_MULT_EXPR || code == WIDEN_LSHIFT_EXPR);
3565 /* For WIDEN_MULT_EXPR, if OP0 is a constant, use the type of
3566 OP1. */
3567 if (CONSTANT_CLASS_P (op0))
3568 ok = vect_is_simple_use_1 (op1, stmt, loop_vinfo, bb_vinfo,
3569 &def_stmt, &def, &dt[1], &vectype_in);
3570 else
3571 ok = vect_is_simple_use (op1, stmt, loop_vinfo, bb_vinfo, &def_stmt,
3572 &def, &dt[1]);
3574 if (!ok)
3576 if (dump_enabled_p ())
3577 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
3578 "use not simple.\n");
3579 return false;
3583 /* If op0 is an external or constant defs use a vector type of
3584 the same size as the output vector type. */
3585 if (!vectype_in)
3586 vectype_in = get_same_sized_vectype (rhs_type, vectype_out);
3587 if (vec_stmt)
3588 gcc_assert (vectype_in);
3589 if (!vectype_in)
3591 if (dump_enabled_p ())
3593 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
3594 "no vectype for scalar type ");
3595 dump_generic_expr (MSG_MISSED_OPTIMIZATION, TDF_SLIM, rhs_type);
3596 dump_printf (MSG_MISSED_OPTIMIZATION, "\n");
3599 return false;
3602 nunits_in = TYPE_VECTOR_SUBPARTS (vectype_in);
3603 nunits_out = TYPE_VECTOR_SUBPARTS (vectype_out);
3604 if (nunits_in < nunits_out)
3605 modifier = NARROW;
3606 else if (nunits_out == nunits_in)
3607 modifier = NONE;
3608 else
3609 modifier = WIDEN;
3611 /* Multiple types in SLP are handled by creating the appropriate number of
3612 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
3613 case of SLP. */
3614 if (slp_node || PURE_SLP_STMT (stmt_info))
3615 ncopies = 1;
3616 else if (modifier == NARROW)
3617 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_out;
3618 else
3619 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_in;
3621 /* Sanity check: make sure that at least one copy of the vectorized stmt
3622 needs to be generated. */
3623 gcc_assert (ncopies >= 1);
3625 /* Supportable by target? */
3626 switch (modifier)
3628 case NONE:
3629 if (code != FIX_TRUNC_EXPR && code != FLOAT_EXPR)
3630 return false;
3631 if (supportable_convert_operation (code, vectype_out, vectype_in,
3632 &decl1, &code1))
3633 break;
3634 /* FALLTHRU */
3635 unsupported:
3636 if (dump_enabled_p ())
3637 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
3638 "conversion not supported by target.\n");
3639 return false;
3641 case WIDEN:
3642 if (supportable_widening_operation (code, stmt, vectype_out, vectype_in,
3643 &code1, &code2, &multi_step_cvt,
3644 &interm_types))
3646 /* Binary widening operation can only be supported directly by the
3647 architecture. */
3648 gcc_assert (!(multi_step_cvt && op_type == binary_op));
3649 break;
3652 if (code != FLOAT_EXPR
3653 || (GET_MODE_SIZE (TYPE_MODE (lhs_type))
3654 <= GET_MODE_SIZE (TYPE_MODE (rhs_type))))
3655 goto unsupported;
3657 rhs_mode = TYPE_MODE (rhs_type);
3658 fltsz = GET_MODE_SIZE (TYPE_MODE (lhs_type));
3659 for (rhs_mode = GET_MODE_2XWIDER_MODE (TYPE_MODE (rhs_type));
3660 rhs_mode != VOIDmode && GET_MODE_SIZE (rhs_mode) <= fltsz;
3661 rhs_mode = GET_MODE_2XWIDER_MODE (rhs_mode))
3663 cvt_type
3664 = build_nonstandard_integer_type (GET_MODE_BITSIZE (rhs_mode), 0);
3665 cvt_type = get_same_sized_vectype (cvt_type, vectype_in);
3666 if (cvt_type == NULL_TREE)
3667 goto unsupported;
3669 if (GET_MODE_SIZE (rhs_mode) == fltsz)
3671 if (!supportable_convert_operation (code, vectype_out,
3672 cvt_type, &decl1, &codecvt1))
3673 goto unsupported;
3675 else if (!supportable_widening_operation (code, stmt, vectype_out,
3676 cvt_type, &codecvt1,
3677 &codecvt2, &multi_step_cvt,
3678 &interm_types))
3679 continue;
3680 else
3681 gcc_assert (multi_step_cvt == 0);
3683 if (supportable_widening_operation (NOP_EXPR, stmt, cvt_type,
3684 vectype_in, &code1, &code2,
3685 &multi_step_cvt, &interm_types))
3686 break;
3689 if (rhs_mode == VOIDmode || GET_MODE_SIZE (rhs_mode) > fltsz)
3690 goto unsupported;
3692 if (GET_MODE_SIZE (rhs_mode) == fltsz)
3693 codecvt2 = ERROR_MARK;
3694 else
3696 multi_step_cvt++;
3697 interm_types.safe_push (cvt_type);
3698 cvt_type = NULL_TREE;
3700 break;
3702 case NARROW:
3703 gcc_assert (op_type == unary_op);
3704 if (supportable_narrowing_operation (code, vectype_out, vectype_in,
3705 &code1, &multi_step_cvt,
3706 &interm_types))
3707 break;
3709 if (code != FIX_TRUNC_EXPR
3710 || (GET_MODE_SIZE (TYPE_MODE (lhs_type))
3711 >= GET_MODE_SIZE (TYPE_MODE (rhs_type))))
3712 goto unsupported;
3714 rhs_mode = TYPE_MODE (rhs_type);
3715 cvt_type
3716 = build_nonstandard_integer_type (GET_MODE_BITSIZE (rhs_mode), 0);
3717 cvt_type = get_same_sized_vectype (cvt_type, vectype_in);
3718 if (cvt_type == NULL_TREE)
3719 goto unsupported;
3720 if (!supportable_convert_operation (code, cvt_type, vectype_in,
3721 &decl1, &codecvt1))
3722 goto unsupported;
3723 if (supportable_narrowing_operation (NOP_EXPR, vectype_out, cvt_type,
3724 &code1, &multi_step_cvt,
3725 &interm_types))
3726 break;
3727 goto unsupported;
3729 default:
3730 gcc_unreachable ();
3733 if (!vec_stmt) /* transformation not required. */
3735 if (dump_enabled_p ())
3736 dump_printf_loc (MSG_NOTE, vect_location,
3737 "=== vectorizable_conversion ===\n");
3738 if (code == FIX_TRUNC_EXPR || code == FLOAT_EXPR)
3740 STMT_VINFO_TYPE (stmt_info) = type_conversion_vec_info_type;
3741 vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL);
3743 else if (modifier == NARROW)
3745 STMT_VINFO_TYPE (stmt_info) = type_demotion_vec_info_type;
3746 vect_model_promotion_demotion_cost (stmt_info, dt, multi_step_cvt);
3748 else
3750 STMT_VINFO_TYPE (stmt_info) = type_promotion_vec_info_type;
3751 vect_model_promotion_demotion_cost (stmt_info, dt, multi_step_cvt);
3753 interm_types.release ();
3754 return true;
3757 /** Transform. **/
3758 if (dump_enabled_p ())
3759 dump_printf_loc (MSG_NOTE, vect_location,
3760 "transform conversion. ncopies = %d.\n", ncopies);
3762 if (op_type == binary_op)
3764 if (CONSTANT_CLASS_P (op0))
3765 op0 = fold_convert (TREE_TYPE (op1), op0);
3766 else if (CONSTANT_CLASS_P (op1))
3767 op1 = fold_convert (TREE_TYPE (op0), op1);
3770 /* In case of multi-step conversion, we first generate conversion operations
3771 to the intermediate types, and then from that types to the final one.
3772 We create vector destinations for the intermediate type (TYPES) received
3773 from supportable_*_operation, and store them in the correct order
3774 for future use in vect_create_vectorized_*_stmts (). */
3775 vec_dsts.create (multi_step_cvt + 1);
3776 vec_dest = vect_create_destination_var (scalar_dest,
3777 (cvt_type && modifier == WIDEN)
3778 ? cvt_type : vectype_out);
3779 vec_dsts.quick_push (vec_dest);
3781 if (multi_step_cvt)
3783 for (i = interm_types.length () - 1;
3784 interm_types.iterate (i, &intermediate_type); i--)
3786 vec_dest = vect_create_destination_var (scalar_dest,
3787 intermediate_type);
3788 vec_dsts.quick_push (vec_dest);
3792 if (cvt_type)
3793 vec_dest = vect_create_destination_var (scalar_dest,
3794 modifier == WIDEN
3795 ? vectype_out : cvt_type);
3797 if (!slp_node)
3799 if (modifier == WIDEN)
3801 vec_oprnds0.create (multi_step_cvt ? vect_pow2 (multi_step_cvt) : 1);
3802 if (op_type == binary_op)
3803 vec_oprnds1.create (1);
3805 else if (modifier == NARROW)
3806 vec_oprnds0.create (
3807 2 * (multi_step_cvt ? vect_pow2 (multi_step_cvt) : 1));
3809 else if (code == WIDEN_LSHIFT_EXPR)
3810 vec_oprnds1.create (slp_node->vec_stmts_size);
3812 last_oprnd = op0;
3813 prev_stmt_info = NULL;
3814 switch (modifier)
3816 case NONE:
3817 for (j = 0; j < ncopies; j++)
3819 if (j == 0)
3820 vect_get_vec_defs (op0, NULL, stmt, &vec_oprnds0, NULL, slp_node,
3821 -1);
3822 else
3823 vect_get_vec_defs_for_stmt_copy (dt, &vec_oprnds0, NULL);
3825 FOR_EACH_VEC_ELT (vec_oprnds0, i, vop0)
3827 /* Arguments are ready, create the new vector stmt. */
3828 if (code1 == CALL_EXPR)
3830 new_stmt = gimple_build_call (decl1, 1, vop0);
3831 new_temp = make_ssa_name (vec_dest, new_stmt);
3832 gimple_call_set_lhs (new_stmt, new_temp);
3834 else
3836 gcc_assert (TREE_CODE_LENGTH (code1) == unary_op);
3837 new_stmt = gimple_build_assign (vec_dest, code1, vop0);
3838 new_temp = make_ssa_name (vec_dest, new_stmt);
3839 gimple_assign_set_lhs (new_stmt, new_temp);
3842 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3843 if (slp_node)
3844 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
3847 if (j == 0)
3848 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
3849 else
3850 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
3851 prev_stmt_info = vinfo_for_stmt (new_stmt);
3853 break;
3855 case WIDEN:
3856 /* In case the vectorization factor (VF) is bigger than the number
3857 of elements that we can fit in a vectype (nunits), we have to
3858 generate more than one vector stmt - i.e - we need to "unroll"
3859 the vector stmt by a factor VF/nunits. */
3860 for (j = 0; j < ncopies; j++)
3862 /* Handle uses. */
3863 if (j == 0)
3865 if (slp_node)
3867 if (code == WIDEN_LSHIFT_EXPR)
3869 unsigned int k;
3871 vec_oprnd1 = op1;
3872 /* Store vec_oprnd1 for every vector stmt to be created
3873 for SLP_NODE. We check during the analysis that all
3874 the shift arguments are the same. */
3875 for (k = 0; k < slp_node->vec_stmts_size - 1; k++)
3876 vec_oprnds1.quick_push (vec_oprnd1);
3878 vect_get_vec_defs (op0, NULL_TREE, stmt, &vec_oprnds0, NULL,
3879 slp_node, -1);
3881 else
3882 vect_get_vec_defs (op0, op1, stmt, &vec_oprnds0,
3883 &vec_oprnds1, slp_node, -1);
3885 else
3887 vec_oprnd0 = vect_get_vec_def_for_operand (op0, stmt, NULL);
3888 vec_oprnds0.quick_push (vec_oprnd0);
3889 if (op_type == binary_op)
3891 if (code == WIDEN_LSHIFT_EXPR)
3892 vec_oprnd1 = op1;
3893 else
3894 vec_oprnd1 = vect_get_vec_def_for_operand (op1, stmt,
3895 NULL);
3896 vec_oprnds1.quick_push (vec_oprnd1);
3900 else
3902 vec_oprnd0 = vect_get_vec_def_for_stmt_copy (dt[0], vec_oprnd0);
3903 vec_oprnds0.truncate (0);
3904 vec_oprnds0.quick_push (vec_oprnd0);
3905 if (op_type == binary_op)
3907 if (code == WIDEN_LSHIFT_EXPR)
3908 vec_oprnd1 = op1;
3909 else
3910 vec_oprnd1 = vect_get_vec_def_for_stmt_copy (dt[1],
3911 vec_oprnd1);
3912 vec_oprnds1.truncate (0);
3913 vec_oprnds1.quick_push (vec_oprnd1);
3917 /* Arguments are ready. Create the new vector stmts. */
3918 for (i = multi_step_cvt; i >= 0; i--)
3920 tree this_dest = vec_dsts[i];
3921 enum tree_code c1 = code1, c2 = code2;
3922 if (i == 0 && codecvt2 != ERROR_MARK)
3924 c1 = codecvt1;
3925 c2 = codecvt2;
3927 vect_create_vectorized_promotion_stmts (&vec_oprnds0,
3928 &vec_oprnds1,
3929 stmt, this_dest, gsi,
3930 c1, c2, decl1, decl2,
3931 op_type);
3934 FOR_EACH_VEC_ELT (vec_oprnds0, i, vop0)
3936 if (cvt_type)
3938 if (codecvt1 == CALL_EXPR)
3940 new_stmt = gimple_build_call (decl1, 1, vop0);
3941 new_temp = make_ssa_name (vec_dest, new_stmt);
3942 gimple_call_set_lhs (new_stmt, new_temp);
3944 else
3946 gcc_assert (TREE_CODE_LENGTH (codecvt1) == unary_op);
3947 new_temp = make_ssa_name (vec_dest);
3948 new_stmt = gimple_build_assign (new_temp, codecvt1,
3949 vop0);
3952 vect_finish_stmt_generation (stmt, new_stmt, gsi);
3954 else
3955 new_stmt = SSA_NAME_DEF_STMT (vop0);
3957 if (slp_node)
3958 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
3959 else
3961 if (!prev_stmt_info)
3962 STMT_VINFO_VEC_STMT (stmt_info) = new_stmt;
3963 else
3964 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
3965 prev_stmt_info = vinfo_for_stmt (new_stmt);
3970 *vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
3971 break;
3973 case NARROW:
3974 /* In case the vectorization factor (VF) is bigger than the number
3975 of elements that we can fit in a vectype (nunits), we have to
3976 generate more than one vector stmt - i.e - we need to "unroll"
3977 the vector stmt by a factor VF/nunits. */
3978 for (j = 0; j < ncopies; j++)
3980 /* Handle uses. */
3981 if (slp_node)
3982 vect_get_vec_defs (op0, NULL_TREE, stmt, &vec_oprnds0, NULL,
3983 slp_node, -1);
3984 else
3986 vec_oprnds0.truncate (0);
3987 vect_get_loop_based_defs (&last_oprnd, stmt, dt[0], &vec_oprnds0,
3988 vect_pow2 (multi_step_cvt) - 1);
3991 /* Arguments are ready. Create the new vector stmts. */
3992 if (cvt_type)
3993 FOR_EACH_VEC_ELT (vec_oprnds0, i, vop0)
3995 if (codecvt1 == CALL_EXPR)
3997 new_stmt = gimple_build_call (decl1, 1, vop0);
3998 new_temp = make_ssa_name (vec_dest, new_stmt);
3999 gimple_call_set_lhs (new_stmt, new_temp);
4001 else
4003 gcc_assert (TREE_CODE_LENGTH (codecvt1) == unary_op);
4004 new_temp = make_ssa_name (vec_dest);
4005 new_stmt = gimple_build_assign (new_temp, codecvt1,
4006 vop0);
4009 vect_finish_stmt_generation (stmt, new_stmt, gsi);
4010 vec_oprnds0[i] = new_temp;
4013 vect_create_vectorized_demotion_stmts (&vec_oprnds0, multi_step_cvt,
4014 stmt, vec_dsts, gsi,
4015 slp_node, code1,
4016 &prev_stmt_info);
4019 *vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
4020 break;
4023 vec_oprnds0.release ();
4024 vec_oprnds1.release ();
4025 vec_dsts.release ();
4026 interm_types.release ();
4028 return true;
4032 /* Function vectorizable_assignment.
4034 Check if STMT performs an assignment (copy) that can be vectorized.
4035 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4036 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4037 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
4039 static bool
4040 vectorizable_assignment (gimple stmt, gimple_stmt_iterator *gsi,
4041 gimple *vec_stmt, slp_tree slp_node)
4043 tree vec_dest;
4044 tree scalar_dest;
4045 tree op;
4046 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
4047 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
4048 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
4049 tree new_temp;
4050 tree def;
4051 gimple def_stmt;
4052 enum vect_def_type dt[2] = {vect_unknown_def_type, vect_unknown_def_type};
4053 unsigned int nunits = TYPE_VECTOR_SUBPARTS (vectype);
4054 int ncopies;
4055 int i, j;
4056 vec<tree> vec_oprnds = vNULL;
4057 tree vop;
4058 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
4059 gimple new_stmt = NULL;
4060 stmt_vec_info prev_stmt_info = NULL;
4061 enum tree_code code;
4062 tree vectype_in;
4064 /* Multiple types in SLP are handled by creating the appropriate number of
4065 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
4066 case of SLP. */
4067 if (slp_node || PURE_SLP_STMT (stmt_info))
4068 ncopies = 1;
4069 else
4070 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
4072 gcc_assert (ncopies >= 1);
4074 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
4075 return false;
4077 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
4078 return false;
4080 /* Is vectorizable assignment? */
4081 if (!is_gimple_assign (stmt))
4082 return false;
4084 scalar_dest = gimple_assign_lhs (stmt);
4085 if (TREE_CODE (scalar_dest) != SSA_NAME)
4086 return false;
4088 code = gimple_assign_rhs_code (stmt);
4089 if (gimple_assign_single_p (stmt)
4090 || code == PAREN_EXPR
4091 || CONVERT_EXPR_CODE_P (code))
4092 op = gimple_assign_rhs1 (stmt);
4093 else
4094 return false;
4096 if (code == VIEW_CONVERT_EXPR)
4097 op = TREE_OPERAND (op, 0);
4099 if (!vect_is_simple_use_1 (op, stmt, loop_vinfo, bb_vinfo,
4100 &def_stmt, &def, &dt[0], &vectype_in))
4102 if (dump_enabled_p ())
4103 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4104 "use not simple.\n");
4105 return false;
4108 /* We can handle NOP_EXPR conversions that do not change the number
4109 of elements or the vector size. */
4110 if ((CONVERT_EXPR_CODE_P (code)
4111 || code == VIEW_CONVERT_EXPR)
4112 && (!vectype_in
4113 || TYPE_VECTOR_SUBPARTS (vectype_in) != nunits
4114 || (GET_MODE_SIZE (TYPE_MODE (vectype))
4115 != GET_MODE_SIZE (TYPE_MODE (vectype_in)))))
4116 return false;
4118 /* We do not handle bit-precision changes. */
4119 if ((CONVERT_EXPR_CODE_P (code)
4120 || code == VIEW_CONVERT_EXPR)
4121 && INTEGRAL_TYPE_P (TREE_TYPE (scalar_dest))
4122 && ((TYPE_PRECISION (TREE_TYPE (scalar_dest))
4123 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (scalar_dest))))
4124 || ((TYPE_PRECISION (TREE_TYPE (op))
4125 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (op))))))
4126 /* But a conversion that does not change the bit-pattern is ok. */
4127 && !((TYPE_PRECISION (TREE_TYPE (scalar_dest))
4128 > TYPE_PRECISION (TREE_TYPE (op)))
4129 && TYPE_UNSIGNED (TREE_TYPE (op))))
4131 if (dump_enabled_p ())
4132 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4133 "type conversion to/from bit-precision "
4134 "unsupported.\n");
4135 return false;
4138 if (!vec_stmt) /* transformation not required. */
4140 STMT_VINFO_TYPE (stmt_info) = assignment_vec_info_type;
4141 if (dump_enabled_p ())
4142 dump_printf_loc (MSG_NOTE, vect_location,
4143 "=== vectorizable_assignment ===\n");
4144 vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL);
4145 return true;
4148 /** Transform. **/
4149 if (dump_enabled_p ())
4150 dump_printf_loc (MSG_NOTE, vect_location, "transform assignment.\n");
4152 /* Handle def. */
4153 vec_dest = vect_create_destination_var (scalar_dest, vectype);
4155 /* Handle use. */
4156 for (j = 0; j < ncopies; j++)
4158 /* Handle uses. */
4159 if (j == 0)
4160 vect_get_vec_defs (op, NULL, stmt, &vec_oprnds, NULL, slp_node, -1);
4161 else
4162 vect_get_vec_defs_for_stmt_copy (dt, &vec_oprnds, NULL);
4164 /* Arguments are ready. create the new vector stmt. */
4165 FOR_EACH_VEC_ELT (vec_oprnds, i, vop)
4167 if (CONVERT_EXPR_CODE_P (code)
4168 || code == VIEW_CONVERT_EXPR)
4169 vop = build1 (VIEW_CONVERT_EXPR, vectype, vop);
4170 new_stmt = gimple_build_assign (vec_dest, vop);
4171 new_temp = make_ssa_name (vec_dest, new_stmt);
4172 gimple_assign_set_lhs (new_stmt, new_temp);
4173 vect_finish_stmt_generation (stmt, new_stmt, gsi);
4174 if (slp_node)
4175 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
4178 if (slp_node)
4179 continue;
4181 if (j == 0)
4182 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
4183 else
4184 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
4186 prev_stmt_info = vinfo_for_stmt (new_stmt);
4189 vec_oprnds.release ();
4190 return true;
4194 /* Return TRUE if CODE (a shift operation) is supported for SCALAR_TYPE
4195 either as shift by a scalar or by a vector. */
4197 bool
4198 vect_supportable_shift (enum tree_code code, tree scalar_type)
4201 machine_mode vec_mode;
4202 optab optab;
4203 int icode;
4204 tree vectype;
4206 vectype = get_vectype_for_scalar_type (scalar_type);
4207 if (!vectype)
4208 return false;
4210 optab = optab_for_tree_code (code, vectype, optab_scalar);
4211 if (!optab
4212 || optab_handler (optab, TYPE_MODE (vectype)) == CODE_FOR_nothing)
4214 optab = optab_for_tree_code (code, vectype, optab_vector);
4215 if (!optab
4216 || (optab_handler (optab, TYPE_MODE (vectype))
4217 == CODE_FOR_nothing))
4218 return false;
4221 vec_mode = TYPE_MODE (vectype);
4222 icode = (int) optab_handler (optab, vec_mode);
4223 if (icode == CODE_FOR_nothing)
4224 return false;
4226 return true;
4230 /* Function vectorizable_shift.
4232 Check if STMT performs a shift operation that can be vectorized.
4233 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4234 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4235 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
4237 static bool
4238 vectorizable_shift (gimple stmt, gimple_stmt_iterator *gsi,
4239 gimple *vec_stmt, slp_tree slp_node)
4241 tree vec_dest;
4242 tree scalar_dest;
4243 tree op0, op1 = NULL;
4244 tree vec_oprnd1 = NULL_TREE;
4245 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
4246 tree vectype;
4247 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
4248 enum tree_code code;
4249 machine_mode vec_mode;
4250 tree new_temp;
4251 optab optab;
4252 int icode;
4253 machine_mode optab_op2_mode;
4254 tree def;
4255 gimple def_stmt;
4256 enum vect_def_type dt[2] = {vect_unknown_def_type, vect_unknown_def_type};
4257 gimple new_stmt = NULL;
4258 stmt_vec_info prev_stmt_info;
4259 int nunits_in;
4260 int nunits_out;
4261 tree vectype_out;
4262 tree op1_vectype;
4263 int ncopies;
4264 int j, i;
4265 vec<tree> vec_oprnds0 = vNULL;
4266 vec<tree> vec_oprnds1 = vNULL;
4267 tree vop0, vop1;
4268 unsigned int k;
4269 bool scalar_shift_arg = true;
4270 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
4271 int vf;
4273 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
4274 return false;
4276 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
4277 return false;
4279 /* Is STMT a vectorizable binary/unary operation? */
4280 if (!is_gimple_assign (stmt))
4281 return false;
4283 if (TREE_CODE (gimple_assign_lhs (stmt)) != SSA_NAME)
4284 return false;
4286 code = gimple_assign_rhs_code (stmt);
4288 if (!(code == LSHIFT_EXPR || code == RSHIFT_EXPR || code == LROTATE_EXPR
4289 || code == RROTATE_EXPR))
4290 return false;
4292 scalar_dest = gimple_assign_lhs (stmt);
4293 vectype_out = STMT_VINFO_VECTYPE (stmt_info);
4294 if (TYPE_PRECISION (TREE_TYPE (scalar_dest))
4295 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (scalar_dest))))
4297 if (dump_enabled_p ())
4298 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4299 "bit-precision shifts not supported.\n");
4300 return false;
4303 op0 = gimple_assign_rhs1 (stmt);
4304 if (!vect_is_simple_use_1 (op0, stmt, loop_vinfo, bb_vinfo,
4305 &def_stmt, &def, &dt[0], &vectype))
4307 if (dump_enabled_p ())
4308 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4309 "use not simple.\n");
4310 return false;
4312 /* If op0 is an external or constant def use a vector type with
4313 the same size as the output vector type. */
4314 if (!vectype)
4315 vectype = get_same_sized_vectype (TREE_TYPE (op0), vectype_out);
4316 if (vec_stmt)
4317 gcc_assert (vectype);
4318 if (!vectype)
4320 if (dump_enabled_p ())
4321 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4322 "no vectype for scalar type\n");
4323 return false;
4326 nunits_out = TYPE_VECTOR_SUBPARTS (vectype_out);
4327 nunits_in = TYPE_VECTOR_SUBPARTS (vectype);
4328 if (nunits_out != nunits_in)
4329 return false;
4331 op1 = gimple_assign_rhs2 (stmt);
4332 if (!vect_is_simple_use_1 (op1, stmt, loop_vinfo, bb_vinfo, &def_stmt,
4333 &def, &dt[1], &op1_vectype))
4335 if (dump_enabled_p ())
4336 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4337 "use not simple.\n");
4338 return false;
4341 if (loop_vinfo)
4342 vf = LOOP_VINFO_VECT_FACTOR (loop_vinfo);
4343 else
4344 vf = 1;
4346 /* Multiple types in SLP are handled by creating the appropriate number of
4347 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
4348 case of SLP. */
4349 if (slp_node || PURE_SLP_STMT (stmt_info))
4350 ncopies = 1;
4351 else
4352 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_in;
4354 gcc_assert (ncopies >= 1);
4356 /* Determine whether the shift amount is a vector, or scalar. If the
4357 shift/rotate amount is a vector, use the vector/vector shift optabs. */
4359 if (dt[1] == vect_internal_def && !slp_node)
4360 scalar_shift_arg = false;
4361 else if (dt[1] == vect_constant_def
4362 || dt[1] == vect_external_def
4363 || dt[1] == vect_internal_def)
4365 /* In SLP, need to check whether the shift count is the same,
4366 in loops if it is a constant or invariant, it is always
4367 a scalar shift. */
4368 if (slp_node)
4370 vec<gimple> stmts = SLP_TREE_SCALAR_STMTS (slp_node);
4371 gimple slpstmt;
4373 FOR_EACH_VEC_ELT (stmts, k, slpstmt)
4374 if (!operand_equal_p (gimple_assign_rhs2 (slpstmt), op1, 0))
4375 scalar_shift_arg = false;
4378 else
4380 if (dump_enabled_p ())
4381 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4382 "operand mode requires invariant argument.\n");
4383 return false;
4386 /* Vector shifted by vector. */
4387 if (!scalar_shift_arg)
4389 optab = optab_for_tree_code (code, vectype, optab_vector);
4390 if (dump_enabled_p ())
4391 dump_printf_loc (MSG_NOTE, vect_location,
4392 "vector/vector shift/rotate found.\n");
4394 if (!op1_vectype)
4395 op1_vectype = get_same_sized_vectype (TREE_TYPE (op1), vectype_out);
4396 if (op1_vectype == NULL_TREE
4397 || TYPE_MODE (op1_vectype) != TYPE_MODE (vectype))
4399 if (dump_enabled_p ())
4400 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4401 "unusable type for last operand in"
4402 " vector/vector shift/rotate.\n");
4403 return false;
4406 /* See if the machine has a vector shifted by scalar insn and if not
4407 then see if it has a vector shifted by vector insn. */
4408 else
4410 optab = optab_for_tree_code (code, vectype, optab_scalar);
4411 if (optab
4412 && optab_handler (optab, TYPE_MODE (vectype)) != CODE_FOR_nothing)
4414 if (dump_enabled_p ())
4415 dump_printf_loc (MSG_NOTE, vect_location,
4416 "vector/scalar shift/rotate found.\n");
4418 else
4420 optab = optab_for_tree_code (code, vectype, optab_vector);
4421 if (optab
4422 && (optab_handler (optab, TYPE_MODE (vectype))
4423 != CODE_FOR_nothing))
4425 scalar_shift_arg = false;
4427 if (dump_enabled_p ())
4428 dump_printf_loc (MSG_NOTE, vect_location,
4429 "vector/vector shift/rotate found.\n");
4431 /* Unlike the other binary operators, shifts/rotates have
4432 the rhs being int, instead of the same type as the lhs,
4433 so make sure the scalar is the right type if we are
4434 dealing with vectors of long long/long/short/char. */
4435 if (dt[1] == vect_constant_def)
4436 op1 = fold_convert (TREE_TYPE (vectype), op1);
4437 else if (!useless_type_conversion_p (TREE_TYPE (vectype),
4438 TREE_TYPE (op1)))
4440 if (slp_node
4441 && TYPE_MODE (TREE_TYPE (vectype))
4442 != TYPE_MODE (TREE_TYPE (op1)))
4444 if (dump_enabled_p ())
4445 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4446 "unusable type for last operand in"
4447 " vector/vector shift/rotate.\n");
4448 return false;
4450 if (vec_stmt && !slp_node)
4452 op1 = fold_convert (TREE_TYPE (vectype), op1);
4453 op1 = vect_init_vector (stmt, op1,
4454 TREE_TYPE (vectype), NULL);
4461 /* Supportable by target? */
4462 if (!optab)
4464 if (dump_enabled_p ())
4465 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4466 "no optab.\n");
4467 return false;
4469 vec_mode = TYPE_MODE (vectype);
4470 icode = (int) optab_handler (optab, vec_mode);
4471 if (icode == CODE_FOR_nothing)
4473 if (dump_enabled_p ())
4474 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4475 "op not supported by target.\n");
4476 /* Check only during analysis. */
4477 if (GET_MODE_SIZE (vec_mode) != UNITS_PER_WORD
4478 || (vf < vect_min_worthwhile_factor (code)
4479 && !vec_stmt))
4480 return false;
4481 if (dump_enabled_p ())
4482 dump_printf_loc (MSG_NOTE, vect_location,
4483 "proceeding using word mode.\n");
4486 /* Worthwhile without SIMD support? Check only during analysis. */
4487 if (!VECTOR_MODE_P (TYPE_MODE (vectype))
4488 && vf < vect_min_worthwhile_factor (code)
4489 && !vec_stmt)
4491 if (dump_enabled_p ())
4492 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4493 "not worthwhile without SIMD support.\n");
4494 return false;
4497 if (!vec_stmt) /* transformation not required. */
4499 STMT_VINFO_TYPE (stmt_info) = shift_vec_info_type;
4500 if (dump_enabled_p ())
4501 dump_printf_loc (MSG_NOTE, vect_location,
4502 "=== vectorizable_shift ===\n");
4503 vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL);
4504 return true;
4507 /** Transform. **/
4509 if (dump_enabled_p ())
4510 dump_printf_loc (MSG_NOTE, vect_location,
4511 "transform binary/unary operation.\n");
4513 /* Handle def. */
4514 vec_dest = vect_create_destination_var (scalar_dest, vectype);
4516 prev_stmt_info = NULL;
4517 for (j = 0; j < ncopies; j++)
4519 /* Handle uses. */
4520 if (j == 0)
4522 if (scalar_shift_arg)
4524 /* Vector shl and shr insn patterns can be defined with scalar
4525 operand 2 (shift operand). In this case, use constant or loop
4526 invariant op1 directly, without extending it to vector mode
4527 first. */
4528 optab_op2_mode = insn_data[icode].operand[2].mode;
4529 if (!VECTOR_MODE_P (optab_op2_mode))
4531 if (dump_enabled_p ())
4532 dump_printf_loc (MSG_NOTE, vect_location,
4533 "operand 1 using scalar mode.\n");
4534 vec_oprnd1 = op1;
4535 vec_oprnds1.create (slp_node ? slp_node->vec_stmts_size : 1);
4536 vec_oprnds1.quick_push (vec_oprnd1);
4537 if (slp_node)
4539 /* Store vec_oprnd1 for every vector stmt to be created
4540 for SLP_NODE. We check during the analysis that all
4541 the shift arguments are the same.
4542 TODO: Allow different constants for different vector
4543 stmts generated for an SLP instance. */
4544 for (k = 0; k < slp_node->vec_stmts_size - 1; k++)
4545 vec_oprnds1.quick_push (vec_oprnd1);
4550 /* vec_oprnd1 is available if operand 1 should be of a scalar-type
4551 (a special case for certain kind of vector shifts); otherwise,
4552 operand 1 should be of a vector type (the usual case). */
4553 if (vec_oprnd1)
4554 vect_get_vec_defs (op0, NULL_TREE, stmt, &vec_oprnds0, NULL,
4555 slp_node, -1);
4556 else
4557 vect_get_vec_defs (op0, op1, stmt, &vec_oprnds0, &vec_oprnds1,
4558 slp_node, -1);
4560 else
4561 vect_get_vec_defs_for_stmt_copy (dt, &vec_oprnds0, &vec_oprnds1);
4563 /* Arguments are ready. Create the new vector stmt. */
4564 FOR_EACH_VEC_ELT (vec_oprnds0, i, vop0)
4566 vop1 = vec_oprnds1[i];
4567 new_stmt = gimple_build_assign (vec_dest, code, vop0, vop1);
4568 new_temp = make_ssa_name (vec_dest, new_stmt);
4569 gimple_assign_set_lhs (new_stmt, new_temp);
4570 vect_finish_stmt_generation (stmt, new_stmt, gsi);
4571 if (slp_node)
4572 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
4575 if (slp_node)
4576 continue;
4578 if (j == 0)
4579 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
4580 else
4581 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
4582 prev_stmt_info = vinfo_for_stmt (new_stmt);
4585 vec_oprnds0.release ();
4586 vec_oprnds1.release ();
4588 return true;
4592 /* Function vectorizable_operation.
4594 Check if STMT performs a binary, unary or ternary operation that can
4595 be vectorized.
4596 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4597 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4598 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
4600 static bool
4601 vectorizable_operation (gimple stmt, gimple_stmt_iterator *gsi,
4602 gimple *vec_stmt, slp_tree slp_node)
4604 tree vec_dest;
4605 tree scalar_dest;
4606 tree op0, op1 = NULL_TREE, op2 = NULL_TREE;
4607 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
4608 tree vectype;
4609 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
4610 enum tree_code code;
4611 machine_mode vec_mode;
4612 tree new_temp;
4613 int op_type;
4614 optab optab;
4615 int icode;
4616 tree def;
4617 gimple def_stmt;
4618 enum vect_def_type dt[3]
4619 = {vect_unknown_def_type, vect_unknown_def_type, vect_unknown_def_type};
4620 gimple new_stmt = NULL;
4621 stmt_vec_info prev_stmt_info;
4622 int nunits_in;
4623 int nunits_out;
4624 tree vectype_out;
4625 int ncopies;
4626 int j, i;
4627 vec<tree> vec_oprnds0 = vNULL;
4628 vec<tree> vec_oprnds1 = vNULL;
4629 vec<tree> vec_oprnds2 = vNULL;
4630 tree vop0, vop1, vop2;
4631 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
4632 int vf;
4634 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
4635 return false;
4637 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
4638 return false;
4640 /* Is STMT a vectorizable binary/unary operation? */
4641 if (!is_gimple_assign (stmt))
4642 return false;
4644 if (TREE_CODE (gimple_assign_lhs (stmt)) != SSA_NAME)
4645 return false;
4647 code = gimple_assign_rhs_code (stmt);
4649 /* For pointer addition, we should use the normal plus for
4650 the vector addition. */
4651 if (code == POINTER_PLUS_EXPR)
4652 code = PLUS_EXPR;
4654 /* Support only unary or binary operations. */
4655 op_type = TREE_CODE_LENGTH (code);
4656 if (op_type != unary_op && op_type != binary_op && op_type != ternary_op)
4658 if (dump_enabled_p ())
4659 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4660 "num. args = %d (not unary/binary/ternary op).\n",
4661 op_type);
4662 return false;
4665 scalar_dest = gimple_assign_lhs (stmt);
4666 vectype_out = STMT_VINFO_VECTYPE (stmt_info);
4668 /* Most operations cannot handle bit-precision types without extra
4669 truncations. */
4670 if ((TYPE_PRECISION (TREE_TYPE (scalar_dest))
4671 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (scalar_dest))))
4672 /* Exception are bitwise binary operations. */
4673 && code != BIT_IOR_EXPR
4674 && code != BIT_XOR_EXPR
4675 && code != BIT_AND_EXPR)
4677 if (dump_enabled_p ())
4678 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4679 "bit-precision arithmetic not supported.\n");
4680 return false;
4683 op0 = gimple_assign_rhs1 (stmt);
4684 if (!vect_is_simple_use_1 (op0, stmt, loop_vinfo, bb_vinfo,
4685 &def_stmt, &def, &dt[0], &vectype))
4687 if (dump_enabled_p ())
4688 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4689 "use not simple.\n");
4690 return false;
4692 /* If op0 is an external or constant def use a vector type with
4693 the same size as the output vector type. */
4694 if (!vectype)
4695 vectype = get_same_sized_vectype (TREE_TYPE (op0), vectype_out);
4696 if (vec_stmt)
4697 gcc_assert (vectype);
4698 if (!vectype)
4700 if (dump_enabled_p ())
4702 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4703 "no vectype for scalar type ");
4704 dump_generic_expr (MSG_MISSED_OPTIMIZATION, TDF_SLIM,
4705 TREE_TYPE (op0));
4706 dump_printf (MSG_MISSED_OPTIMIZATION, "\n");
4709 return false;
4712 nunits_out = TYPE_VECTOR_SUBPARTS (vectype_out);
4713 nunits_in = TYPE_VECTOR_SUBPARTS (vectype);
4714 if (nunits_out != nunits_in)
4715 return false;
4717 if (op_type == binary_op || op_type == ternary_op)
4719 op1 = gimple_assign_rhs2 (stmt);
4720 if (!vect_is_simple_use (op1, stmt, loop_vinfo, bb_vinfo, &def_stmt,
4721 &def, &dt[1]))
4723 if (dump_enabled_p ())
4724 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4725 "use not simple.\n");
4726 return false;
4729 if (op_type == ternary_op)
4731 op2 = gimple_assign_rhs3 (stmt);
4732 if (!vect_is_simple_use (op2, stmt, loop_vinfo, bb_vinfo, &def_stmt,
4733 &def, &dt[2]))
4735 if (dump_enabled_p ())
4736 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4737 "use not simple.\n");
4738 return false;
4742 if (loop_vinfo)
4743 vf = LOOP_VINFO_VECT_FACTOR (loop_vinfo);
4744 else
4745 vf = 1;
4747 /* Multiple types in SLP are handled by creating the appropriate number of
4748 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
4749 case of SLP. */
4750 if (slp_node || PURE_SLP_STMT (stmt_info))
4751 ncopies = 1;
4752 else
4753 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits_in;
4755 gcc_assert (ncopies >= 1);
4757 /* Shifts are handled in vectorizable_shift (). */
4758 if (code == LSHIFT_EXPR || code == RSHIFT_EXPR || code == LROTATE_EXPR
4759 || code == RROTATE_EXPR)
4760 return false;
4762 /* Supportable by target? */
4764 vec_mode = TYPE_MODE (vectype);
4765 if (code == MULT_HIGHPART_EXPR)
4767 if (can_mult_highpart_p (vec_mode, TYPE_UNSIGNED (vectype)))
4768 icode = LAST_INSN_CODE;
4769 else
4770 icode = CODE_FOR_nothing;
4772 else
4774 optab = optab_for_tree_code (code, vectype, optab_default);
4775 if (!optab)
4777 if (dump_enabled_p ())
4778 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4779 "no optab.\n");
4780 return false;
4782 icode = (int) optab_handler (optab, vec_mode);
4785 if (icode == CODE_FOR_nothing)
4787 if (dump_enabled_p ())
4788 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4789 "op not supported by target.\n");
4790 /* Check only during analysis. */
4791 if (GET_MODE_SIZE (vec_mode) != UNITS_PER_WORD
4792 || (!vec_stmt && vf < vect_min_worthwhile_factor (code)))
4793 return false;
4794 if (dump_enabled_p ())
4795 dump_printf_loc (MSG_NOTE, vect_location,
4796 "proceeding using word mode.\n");
4799 /* Worthwhile without SIMD support? Check only during analysis. */
4800 if (!VECTOR_MODE_P (vec_mode)
4801 && !vec_stmt
4802 && vf < vect_min_worthwhile_factor (code))
4804 if (dump_enabled_p ())
4805 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
4806 "not worthwhile without SIMD support.\n");
4807 return false;
4810 if (!vec_stmt) /* transformation not required. */
4812 STMT_VINFO_TYPE (stmt_info) = op_vec_info_type;
4813 if (dump_enabled_p ())
4814 dump_printf_loc (MSG_NOTE, vect_location,
4815 "=== vectorizable_operation ===\n");
4816 vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL);
4817 return true;
4820 /** Transform. **/
4822 if (dump_enabled_p ())
4823 dump_printf_loc (MSG_NOTE, vect_location,
4824 "transform binary/unary operation.\n");
4826 /* Handle def. */
4827 vec_dest = vect_create_destination_var (scalar_dest, vectype);
4829 /* In case the vectorization factor (VF) is bigger than the number
4830 of elements that we can fit in a vectype (nunits), we have to generate
4831 more than one vector stmt - i.e - we need to "unroll" the
4832 vector stmt by a factor VF/nunits. In doing so, we record a pointer
4833 from one copy of the vector stmt to the next, in the field
4834 STMT_VINFO_RELATED_STMT. This is necessary in order to allow following
4835 stages to find the correct vector defs to be used when vectorizing
4836 stmts that use the defs of the current stmt. The example below
4837 illustrates the vectorization process when VF=16 and nunits=4 (i.e.,
4838 we need to create 4 vectorized stmts):
4840 before vectorization:
4841 RELATED_STMT VEC_STMT
4842 S1: x = memref - -
4843 S2: z = x + 1 - -
4845 step 1: vectorize stmt S1 (done in vectorizable_load. See more details
4846 there):
4847 RELATED_STMT VEC_STMT
4848 VS1_0: vx0 = memref0 VS1_1 -
4849 VS1_1: vx1 = memref1 VS1_2 -
4850 VS1_2: vx2 = memref2 VS1_3 -
4851 VS1_3: vx3 = memref3 - -
4852 S1: x = load - VS1_0
4853 S2: z = x + 1 - -
4855 step2: vectorize stmt S2 (done here):
4856 To vectorize stmt S2 we first need to find the relevant vector
4857 def for the first operand 'x'. This is, as usual, obtained from
4858 the vector stmt recorded in the STMT_VINFO_VEC_STMT of the stmt
4859 that defines 'x' (S1). This way we find the stmt VS1_0, and the
4860 relevant vector def 'vx0'. Having found 'vx0' we can generate
4861 the vector stmt VS2_0, and as usual, record it in the
4862 STMT_VINFO_VEC_STMT of stmt S2.
4863 When creating the second copy (VS2_1), we obtain the relevant vector
4864 def from the vector stmt recorded in the STMT_VINFO_RELATED_STMT of
4865 stmt VS1_0. This way we find the stmt VS1_1 and the relevant
4866 vector def 'vx1'. Using 'vx1' we create stmt VS2_1 and record a
4867 pointer to it in the STMT_VINFO_RELATED_STMT of the vector stmt VS2_0.
4868 Similarly when creating stmts VS2_2 and VS2_3. This is the resulting
4869 chain of stmts and pointers:
4870 RELATED_STMT VEC_STMT
4871 VS1_0: vx0 = memref0 VS1_1 -
4872 VS1_1: vx1 = memref1 VS1_2 -
4873 VS1_2: vx2 = memref2 VS1_3 -
4874 VS1_3: vx3 = memref3 - -
4875 S1: x = load - VS1_0
4876 VS2_0: vz0 = vx0 + v1 VS2_1 -
4877 VS2_1: vz1 = vx1 + v1 VS2_2 -
4878 VS2_2: vz2 = vx2 + v1 VS2_3 -
4879 VS2_3: vz3 = vx3 + v1 - -
4880 S2: z = x + 1 - VS2_0 */
4882 prev_stmt_info = NULL;
4883 for (j = 0; j < ncopies; j++)
4885 /* Handle uses. */
4886 if (j == 0)
4888 if (op_type == binary_op || op_type == ternary_op)
4889 vect_get_vec_defs (op0, op1, stmt, &vec_oprnds0, &vec_oprnds1,
4890 slp_node, -1);
4891 else
4892 vect_get_vec_defs (op0, NULL_TREE, stmt, &vec_oprnds0, NULL,
4893 slp_node, -1);
4894 if (op_type == ternary_op)
4896 vec_oprnds2.create (1);
4897 vec_oprnds2.quick_push (vect_get_vec_def_for_operand (op2,
4898 stmt,
4899 NULL));
4902 else
4904 vect_get_vec_defs_for_stmt_copy (dt, &vec_oprnds0, &vec_oprnds1);
4905 if (op_type == ternary_op)
4907 tree vec_oprnd = vec_oprnds2.pop ();
4908 vec_oprnds2.quick_push (vect_get_vec_def_for_stmt_copy (dt[2],
4909 vec_oprnd));
4913 /* Arguments are ready. Create the new vector stmt. */
4914 FOR_EACH_VEC_ELT (vec_oprnds0, i, vop0)
4916 vop1 = ((op_type == binary_op || op_type == ternary_op)
4917 ? vec_oprnds1[i] : NULL_TREE);
4918 vop2 = ((op_type == ternary_op)
4919 ? vec_oprnds2[i] : NULL_TREE);
4920 new_stmt = gimple_build_assign (vec_dest, code, vop0, vop1, vop2);
4921 new_temp = make_ssa_name (vec_dest, new_stmt);
4922 gimple_assign_set_lhs (new_stmt, new_temp);
4923 vect_finish_stmt_generation (stmt, new_stmt, gsi);
4924 if (slp_node)
4925 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
4928 if (slp_node)
4929 continue;
4931 if (j == 0)
4932 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
4933 else
4934 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
4935 prev_stmt_info = vinfo_for_stmt (new_stmt);
4938 vec_oprnds0.release ();
4939 vec_oprnds1.release ();
4940 vec_oprnds2.release ();
4942 return true;
4945 /* A helper function to ensure data reference DR's base alignment
4946 for STMT_INFO. */
4948 static void
4949 ensure_base_align (stmt_vec_info stmt_info, struct data_reference *dr)
4951 if (!dr->aux)
4952 return;
4954 if (DR_VECT_AUX (dr)->base_misaligned)
4956 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
4957 tree base_decl = DR_VECT_AUX (dr)->base_decl;
4959 if (decl_in_symtab_p (base_decl))
4960 symtab_node::get (base_decl)->increase_alignment (TYPE_ALIGN (vectype));
4961 else
4963 DECL_ALIGN (base_decl) = TYPE_ALIGN (vectype);
4964 DECL_USER_ALIGN (base_decl) = 1;
4966 DR_VECT_AUX (dr)->base_misaligned = false;
4971 /* Given a vector type VECTYPE returns the VECTOR_CST mask that implements
4972 reversal of the vector elements. If that is impossible to do,
4973 returns NULL. */
4975 static tree
4976 perm_mask_for_reverse (tree vectype)
4978 int i, nunits;
4979 unsigned char *sel;
4981 nunits = TYPE_VECTOR_SUBPARTS (vectype);
4982 sel = XALLOCAVEC (unsigned char, nunits);
4984 for (i = 0; i < nunits; ++i)
4985 sel[i] = nunits - 1 - i;
4987 if (!can_vec_perm_p (TYPE_MODE (vectype), false, sel))
4988 return NULL_TREE;
4989 return vect_gen_perm_mask_checked (vectype, sel);
4992 /* Function vectorizable_store.
4994 Check if STMT defines a non scalar data-ref (array/pointer/structure) that
4995 can be vectorized.
4996 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4997 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4998 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
5000 static bool
5001 vectorizable_store (gimple stmt, gimple_stmt_iterator *gsi, gimple *vec_stmt,
5002 slp_tree slp_node)
5004 tree scalar_dest;
5005 tree data_ref;
5006 tree op;
5007 tree vec_oprnd = NULL_TREE;
5008 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
5009 struct data_reference *dr = STMT_VINFO_DATA_REF (stmt_info), *first_dr = NULL;
5010 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
5011 tree elem_type;
5012 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
5013 struct loop *loop = NULL;
5014 machine_mode vec_mode;
5015 tree dummy;
5016 enum dr_alignment_support alignment_support_scheme;
5017 tree def;
5018 gimple def_stmt;
5019 enum vect_def_type dt;
5020 stmt_vec_info prev_stmt_info = NULL;
5021 tree dataref_ptr = NULL_TREE;
5022 tree dataref_offset = NULL_TREE;
5023 gimple ptr_incr = NULL;
5024 int nunits = TYPE_VECTOR_SUBPARTS (vectype);
5025 int ncopies;
5026 int j;
5027 gimple next_stmt, first_stmt = NULL;
5028 bool grouped_store = false;
5029 bool store_lanes_p = false;
5030 unsigned int group_size, i;
5031 vec<tree> dr_chain = vNULL;
5032 vec<tree> oprnds = vNULL;
5033 vec<tree> result_chain = vNULL;
5034 bool inv_p;
5035 bool negative = false;
5036 tree offset = NULL_TREE;
5037 vec<tree> vec_oprnds = vNULL;
5038 bool slp = (slp_node != NULL);
5039 unsigned int vec_num;
5040 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
5041 tree aggr_type;
5043 if (loop_vinfo)
5044 loop = LOOP_VINFO_LOOP (loop_vinfo);
5046 /* Multiple types in SLP are handled by creating the appropriate number of
5047 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
5048 case of SLP. */
5049 if (slp || PURE_SLP_STMT (stmt_info))
5050 ncopies = 1;
5051 else
5052 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
5054 gcc_assert (ncopies >= 1);
5056 /* FORNOW. This restriction should be relaxed. */
5057 if (loop && nested_in_vect_loop_p (loop, stmt) && ncopies > 1)
5059 if (dump_enabled_p ())
5060 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5061 "multiple types in nested loop.\n");
5062 return false;
5065 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
5066 return false;
5068 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
5069 return false;
5071 /* Is vectorizable store? */
5073 if (!is_gimple_assign (stmt))
5074 return false;
5076 scalar_dest = gimple_assign_lhs (stmt);
5077 if (TREE_CODE (scalar_dest) == VIEW_CONVERT_EXPR
5078 && is_pattern_stmt_p (stmt_info))
5079 scalar_dest = TREE_OPERAND (scalar_dest, 0);
5080 if (TREE_CODE (scalar_dest) != ARRAY_REF
5081 && TREE_CODE (scalar_dest) != BIT_FIELD_REF
5082 && TREE_CODE (scalar_dest) != INDIRECT_REF
5083 && TREE_CODE (scalar_dest) != COMPONENT_REF
5084 && TREE_CODE (scalar_dest) != IMAGPART_EXPR
5085 && TREE_CODE (scalar_dest) != REALPART_EXPR
5086 && TREE_CODE (scalar_dest) != MEM_REF)
5087 return false;
5089 gcc_assert (gimple_assign_single_p (stmt));
5090 op = gimple_assign_rhs1 (stmt);
5091 if (!vect_is_simple_use (op, stmt, loop_vinfo, bb_vinfo, &def_stmt,
5092 &def, &dt))
5094 if (dump_enabled_p ())
5095 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5096 "use not simple.\n");
5097 return false;
5100 elem_type = TREE_TYPE (vectype);
5101 vec_mode = TYPE_MODE (vectype);
5103 /* FORNOW. In some cases can vectorize even if data-type not supported
5104 (e.g. - array initialization with 0). */
5105 if (optab_handler (mov_optab, vec_mode) == CODE_FOR_nothing)
5106 return false;
5108 if (!STMT_VINFO_DATA_REF (stmt_info))
5109 return false;
5111 negative =
5112 tree_int_cst_compare (loop && nested_in_vect_loop_p (loop, stmt)
5113 ? STMT_VINFO_DR_STEP (stmt_info) : DR_STEP (dr),
5114 size_zero_node) < 0;
5115 if (negative && ncopies > 1)
5117 if (dump_enabled_p ())
5118 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5119 "multiple types with negative step.\n");
5120 return false;
5123 if (negative)
5125 gcc_assert (!grouped_store);
5126 alignment_support_scheme = vect_supportable_dr_alignment (dr, false);
5127 if (alignment_support_scheme != dr_aligned
5128 && alignment_support_scheme != dr_unaligned_supported)
5130 if (dump_enabled_p ())
5131 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5132 "negative step but alignment required.\n");
5133 return false;
5135 if (dt != vect_constant_def
5136 && dt != vect_external_def
5137 && !perm_mask_for_reverse (vectype))
5139 if (dump_enabled_p ())
5140 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5141 "negative step and reversing not supported.\n");
5142 return false;
5146 if (STMT_VINFO_GROUPED_ACCESS (stmt_info))
5148 grouped_store = true;
5149 first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
5150 if (!slp && !PURE_SLP_STMT (stmt_info))
5152 group_size = GROUP_SIZE (vinfo_for_stmt (first_stmt));
5153 if (vect_store_lanes_supported (vectype, group_size))
5154 store_lanes_p = true;
5155 else if (!vect_grouped_store_supported (vectype, group_size))
5156 return false;
5159 if (first_stmt == stmt)
5161 /* STMT is the leader of the group. Check the operands of all the
5162 stmts of the group. */
5163 next_stmt = GROUP_NEXT_ELEMENT (stmt_info);
5164 while (next_stmt)
5166 gcc_assert (gimple_assign_single_p (next_stmt));
5167 op = gimple_assign_rhs1 (next_stmt);
5168 if (!vect_is_simple_use (op, next_stmt, loop_vinfo, bb_vinfo,
5169 &def_stmt, &def, &dt))
5171 if (dump_enabled_p ())
5172 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5173 "use not simple.\n");
5174 return false;
5176 next_stmt = GROUP_NEXT_ELEMENT (vinfo_for_stmt (next_stmt));
5181 if (!vec_stmt) /* transformation not required. */
5183 STMT_VINFO_TYPE (stmt_info) = store_vec_info_type;
5184 vect_model_store_cost (stmt_info, ncopies, store_lanes_p, dt,
5185 NULL, NULL, NULL);
5186 return true;
5189 /** Transform. **/
5191 ensure_base_align (stmt_info, dr);
5193 if (grouped_store)
5195 first_dr = STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt));
5196 group_size = GROUP_SIZE (vinfo_for_stmt (first_stmt));
5198 GROUP_STORE_COUNT (vinfo_for_stmt (first_stmt))++;
5200 /* FORNOW */
5201 gcc_assert (!loop || !nested_in_vect_loop_p (loop, stmt));
5203 /* We vectorize all the stmts of the interleaving group when we
5204 reach the last stmt in the group. */
5205 if (GROUP_STORE_COUNT (vinfo_for_stmt (first_stmt))
5206 < GROUP_SIZE (vinfo_for_stmt (first_stmt))
5207 && !slp)
5209 *vec_stmt = NULL;
5210 return true;
5213 if (slp)
5215 grouped_store = false;
5216 /* VEC_NUM is the number of vect stmts to be created for this
5217 group. */
5218 vec_num = SLP_TREE_NUMBER_OF_VEC_STMTS (slp_node);
5219 first_stmt = SLP_TREE_SCALAR_STMTS (slp_node)[0];
5220 first_dr = STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt));
5221 op = gimple_assign_rhs1 (first_stmt);
5223 else
5224 /* VEC_NUM is the number of vect stmts to be created for this
5225 group. */
5226 vec_num = group_size;
5228 else
5230 first_stmt = stmt;
5231 first_dr = dr;
5232 group_size = vec_num = 1;
5235 if (dump_enabled_p ())
5236 dump_printf_loc (MSG_NOTE, vect_location,
5237 "transform store. ncopies = %d\n", ncopies);
5239 dr_chain.create (group_size);
5240 oprnds.create (group_size);
5242 alignment_support_scheme = vect_supportable_dr_alignment (first_dr, false);
5243 gcc_assert (alignment_support_scheme);
5244 /* Targets with store-lane instructions must not require explicit
5245 realignment. */
5246 gcc_assert (!store_lanes_p
5247 || alignment_support_scheme == dr_aligned
5248 || alignment_support_scheme == dr_unaligned_supported);
5250 if (negative)
5251 offset = size_int (-TYPE_VECTOR_SUBPARTS (vectype) + 1);
5253 if (store_lanes_p)
5254 aggr_type = build_array_type_nelts (elem_type, vec_num * nunits);
5255 else
5256 aggr_type = vectype;
5258 /* In case the vectorization factor (VF) is bigger than the number
5259 of elements that we can fit in a vectype (nunits), we have to generate
5260 more than one vector stmt - i.e - we need to "unroll" the
5261 vector stmt by a factor VF/nunits. For more details see documentation in
5262 vect_get_vec_def_for_copy_stmt. */
5264 /* In case of interleaving (non-unit grouped access):
5266 S1: &base + 2 = x2
5267 S2: &base = x0
5268 S3: &base + 1 = x1
5269 S4: &base + 3 = x3
5271 We create vectorized stores starting from base address (the access of the
5272 first stmt in the chain (S2 in the above example), when the last store stmt
5273 of the chain (S4) is reached:
5275 VS1: &base = vx2
5276 VS2: &base + vec_size*1 = vx0
5277 VS3: &base + vec_size*2 = vx1
5278 VS4: &base + vec_size*3 = vx3
5280 Then permutation statements are generated:
5282 VS5: vx5 = VEC_PERM_EXPR < vx0, vx3, {0, 8, 1, 9, 2, 10, 3, 11} >
5283 VS6: vx6 = VEC_PERM_EXPR < vx0, vx3, {4, 12, 5, 13, 6, 14, 7, 15} >
5286 And they are put in STMT_VINFO_VEC_STMT of the corresponding scalar stmts
5287 (the order of the data-refs in the output of vect_permute_store_chain
5288 corresponds to the order of scalar stmts in the interleaving chain - see
5289 the documentation of vect_permute_store_chain()).
5291 In case of both multiple types and interleaving, above vector stores and
5292 permutation stmts are created for every copy. The result vector stmts are
5293 put in STMT_VINFO_VEC_STMT for the first copy and in the corresponding
5294 STMT_VINFO_RELATED_STMT for the next copies.
5297 prev_stmt_info = NULL;
5298 for (j = 0; j < ncopies; j++)
5300 gimple new_stmt;
5302 if (j == 0)
5304 if (slp)
5306 /* Get vectorized arguments for SLP_NODE. */
5307 vect_get_vec_defs (op, NULL_TREE, stmt, &vec_oprnds,
5308 NULL, slp_node, -1);
5310 vec_oprnd = vec_oprnds[0];
5312 else
5314 /* For interleaved stores we collect vectorized defs for all the
5315 stores in the group in DR_CHAIN and OPRNDS. DR_CHAIN is then
5316 used as an input to vect_permute_store_chain(), and OPRNDS as
5317 an input to vect_get_vec_def_for_stmt_copy() for the next copy.
5319 If the store is not grouped, GROUP_SIZE is 1, and DR_CHAIN and
5320 OPRNDS are of size 1. */
5321 next_stmt = first_stmt;
5322 for (i = 0; i < group_size; i++)
5324 /* Since gaps are not supported for interleaved stores,
5325 GROUP_SIZE is the exact number of stmts in the chain.
5326 Therefore, NEXT_STMT can't be NULL_TREE. In case that
5327 there is no interleaving, GROUP_SIZE is 1, and only one
5328 iteration of the loop will be executed. */
5329 gcc_assert (next_stmt
5330 && gimple_assign_single_p (next_stmt));
5331 op = gimple_assign_rhs1 (next_stmt);
5333 vec_oprnd = vect_get_vec_def_for_operand (op, next_stmt,
5334 NULL);
5335 dr_chain.quick_push (vec_oprnd);
5336 oprnds.quick_push (vec_oprnd);
5337 next_stmt = GROUP_NEXT_ELEMENT (vinfo_for_stmt (next_stmt));
5341 /* We should have catched mismatched types earlier. */
5342 gcc_assert (useless_type_conversion_p (vectype,
5343 TREE_TYPE (vec_oprnd)));
5344 bool simd_lane_access_p
5345 = STMT_VINFO_SIMD_LANE_ACCESS_P (stmt_info);
5346 if (simd_lane_access_p
5347 && TREE_CODE (DR_BASE_ADDRESS (first_dr)) == ADDR_EXPR
5348 && VAR_P (TREE_OPERAND (DR_BASE_ADDRESS (first_dr), 0))
5349 && integer_zerop (DR_OFFSET (first_dr))
5350 && integer_zerop (DR_INIT (first_dr))
5351 && alias_sets_conflict_p (get_alias_set (aggr_type),
5352 get_alias_set (DR_REF (first_dr))))
5354 dataref_ptr = unshare_expr (DR_BASE_ADDRESS (first_dr));
5355 dataref_offset = build_int_cst (reference_alias_ptr_type
5356 (DR_REF (first_dr)), 0);
5357 inv_p = false;
5359 else
5360 dataref_ptr
5361 = vect_create_data_ref_ptr (first_stmt, aggr_type,
5362 simd_lane_access_p ? loop : NULL,
5363 offset, &dummy, gsi, &ptr_incr,
5364 simd_lane_access_p, &inv_p);
5365 gcc_assert (bb_vinfo || !inv_p);
5367 else
5369 /* For interleaved stores we created vectorized defs for all the
5370 defs stored in OPRNDS in the previous iteration (previous copy).
5371 DR_CHAIN is then used as an input to vect_permute_store_chain(),
5372 and OPRNDS as an input to vect_get_vec_def_for_stmt_copy() for the
5373 next copy.
5374 If the store is not grouped, GROUP_SIZE is 1, and DR_CHAIN and
5375 OPRNDS are of size 1. */
5376 for (i = 0; i < group_size; i++)
5378 op = oprnds[i];
5379 vect_is_simple_use (op, NULL, loop_vinfo, bb_vinfo, &def_stmt,
5380 &def, &dt);
5381 vec_oprnd = vect_get_vec_def_for_stmt_copy (dt, op);
5382 dr_chain[i] = vec_oprnd;
5383 oprnds[i] = vec_oprnd;
5385 if (dataref_offset)
5386 dataref_offset
5387 = int_const_binop (PLUS_EXPR, dataref_offset,
5388 TYPE_SIZE_UNIT (aggr_type));
5389 else
5390 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi, stmt,
5391 TYPE_SIZE_UNIT (aggr_type));
5394 if (store_lanes_p)
5396 tree vec_array;
5398 /* Combine all the vectors into an array. */
5399 vec_array = create_vector_array (vectype, vec_num);
5400 for (i = 0; i < vec_num; i++)
5402 vec_oprnd = dr_chain[i];
5403 write_vector_array (stmt, gsi, vec_oprnd, vec_array, i);
5406 /* Emit:
5407 MEM_REF[...all elements...] = STORE_LANES (VEC_ARRAY). */
5408 data_ref = create_array_ref (aggr_type, dataref_ptr, first_dr);
5409 new_stmt = gimple_build_call_internal (IFN_STORE_LANES, 1, vec_array);
5410 gimple_call_set_lhs (new_stmt, data_ref);
5411 vect_finish_stmt_generation (stmt, new_stmt, gsi);
5413 else
5415 new_stmt = NULL;
5416 if (grouped_store)
5418 if (j == 0)
5419 result_chain.create (group_size);
5420 /* Permute. */
5421 vect_permute_store_chain (dr_chain, group_size, stmt, gsi,
5422 &result_chain);
5425 next_stmt = first_stmt;
5426 for (i = 0; i < vec_num; i++)
5428 unsigned align, misalign;
5430 if (i > 0)
5431 /* Bump the vector pointer. */
5432 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi,
5433 stmt, NULL_TREE);
5435 if (slp)
5436 vec_oprnd = vec_oprnds[i];
5437 else if (grouped_store)
5438 /* For grouped stores vectorized defs are interleaved in
5439 vect_permute_store_chain(). */
5440 vec_oprnd = result_chain[i];
5442 data_ref = build2 (MEM_REF, TREE_TYPE (vec_oprnd), dataref_ptr,
5443 dataref_offset
5444 ? dataref_offset
5445 : build_int_cst (reference_alias_ptr_type
5446 (DR_REF (first_dr)), 0));
5447 align = TYPE_ALIGN_UNIT (vectype);
5448 if (aligned_access_p (first_dr))
5449 misalign = 0;
5450 else if (DR_MISALIGNMENT (first_dr) == -1)
5452 if (DR_VECT_AUX (first_dr)->base_element_aligned)
5453 align = TYPE_ALIGN_UNIT (elem_type);
5454 else
5455 align = get_object_alignment (DR_REF (first_dr))
5456 / BITS_PER_UNIT;
5457 misalign = 0;
5458 TREE_TYPE (data_ref)
5459 = build_aligned_type (TREE_TYPE (data_ref),
5460 align * BITS_PER_UNIT);
5462 else
5464 TREE_TYPE (data_ref)
5465 = build_aligned_type (TREE_TYPE (data_ref),
5466 TYPE_ALIGN (elem_type));
5467 misalign = DR_MISALIGNMENT (first_dr);
5469 if (dataref_offset == NULL_TREE)
5470 set_ptr_info_alignment (get_ptr_info (dataref_ptr), align,
5471 misalign);
5473 if (negative
5474 && dt != vect_constant_def
5475 && dt != vect_external_def)
5477 tree perm_mask = perm_mask_for_reverse (vectype);
5478 tree perm_dest
5479 = vect_create_destination_var (gimple_assign_rhs1 (stmt),
5480 vectype);
5481 tree new_temp = make_ssa_name (perm_dest);
5483 /* Generate the permute statement. */
5484 gimple perm_stmt
5485 = gimple_build_assign (new_temp, VEC_PERM_EXPR, vec_oprnd,
5486 vec_oprnd, perm_mask);
5487 vect_finish_stmt_generation (stmt, perm_stmt, gsi);
5489 perm_stmt = SSA_NAME_DEF_STMT (new_temp);
5490 vec_oprnd = new_temp;
5493 /* Arguments are ready. Create the new vector stmt. */
5494 new_stmt = gimple_build_assign (data_ref, vec_oprnd);
5495 vect_finish_stmt_generation (stmt, new_stmt, gsi);
5497 if (slp)
5498 continue;
5500 next_stmt = GROUP_NEXT_ELEMENT (vinfo_for_stmt (next_stmt));
5501 if (!next_stmt)
5502 break;
5505 if (!slp)
5507 if (j == 0)
5508 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
5509 else
5510 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
5511 prev_stmt_info = vinfo_for_stmt (new_stmt);
5515 dr_chain.release ();
5516 oprnds.release ();
5517 result_chain.release ();
5518 vec_oprnds.release ();
5520 return true;
5523 /* Given a vector type VECTYPE, turns permutation SEL into the equivalent
5524 VECTOR_CST mask. No checks are made that the target platform supports the
5525 mask, so callers may wish to test can_vec_perm_p separately, or use
5526 vect_gen_perm_mask_checked. */
5528 tree
5529 vect_gen_perm_mask_any (tree vectype, const unsigned char *sel)
5531 tree mask_elt_type, mask_type, mask_vec, *mask_elts;
5532 int i, nunits;
5534 nunits = TYPE_VECTOR_SUBPARTS (vectype);
5536 mask_elt_type = lang_hooks.types.type_for_mode
5537 (int_mode_for_mode (TYPE_MODE (TREE_TYPE (vectype))), 1);
5538 mask_type = get_vectype_for_scalar_type (mask_elt_type);
5540 mask_elts = XALLOCAVEC (tree, nunits);
5541 for (i = nunits - 1; i >= 0; i--)
5542 mask_elts[i] = build_int_cst (mask_elt_type, sel[i]);
5543 mask_vec = build_vector (mask_type, mask_elts);
5545 return mask_vec;
5548 /* Checked version of vect_gen_perm_mask_any. Asserts can_vec_perm_p,
5549 i.e. that the target supports the pattern _for arbitrary input vectors_. */
5551 tree
5552 vect_gen_perm_mask_checked (tree vectype, const unsigned char *sel)
5554 gcc_assert (can_vec_perm_p (TYPE_MODE (vectype), false, sel));
5555 return vect_gen_perm_mask_any (vectype, sel);
5558 /* Given a vector variable X and Y, that was generated for the scalar
5559 STMT, generate instructions to permute the vector elements of X and Y
5560 using permutation mask MASK_VEC, insert them at *GSI and return the
5561 permuted vector variable. */
5563 static tree
5564 permute_vec_elements (tree x, tree y, tree mask_vec, gimple stmt,
5565 gimple_stmt_iterator *gsi)
5567 tree vectype = TREE_TYPE (x);
5568 tree perm_dest, data_ref;
5569 gimple perm_stmt;
5571 perm_dest = vect_create_destination_var (gimple_get_lhs (stmt), vectype);
5572 data_ref = make_ssa_name (perm_dest);
5574 /* Generate the permute statement. */
5575 perm_stmt = gimple_build_assign (data_ref, VEC_PERM_EXPR, x, y, mask_vec);
5576 vect_finish_stmt_generation (stmt, perm_stmt, gsi);
5578 return data_ref;
5581 /* Hoist the definitions of all SSA uses on STMT out of the loop LOOP,
5582 inserting them on the loops preheader edge. Returns true if we
5583 were successful in doing so (and thus STMT can be moved then),
5584 otherwise returns false. */
5586 static bool
5587 hoist_defs_of_uses (gimple stmt, struct loop *loop)
5589 ssa_op_iter i;
5590 tree op;
5591 bool any = false;
5593 FOR_EACH_SSA_TREE_OPERAND (op, stmt, i, SSA_OP_USE)
5595 gimple def_stmt = SSA_NAME_DEF_STMT (op);
5596 if (!gimple_nop_p (def_stmt)
5597 && flow_bb_inside_loop_p (loop, gimple_bb (def_stmt)))
5599 /* Make sure we don't need to recurse. While we could do
5600 so in simple cases when there are more complex use webs
5601 we don't have an easy way to preserve stmt order to fulfil
5602 dependencies within them. */
5603 tree op2;
5604 ssa_op_iter i2;
5605 if (gimple_code (def_stmt) == GIMPLE_PHI)
5606 return false;
5607 FOR_EACH_SSA_TREE_OPERAND (op2, def_stmt, i2, SSA_OP_USE)
5609 gimple def_stmt2 = SSA_NAME_DEF_STMT (op2);
5610 if (!gimple_nop_p (def_stmt2)
5611 && flow_bb_inside_loop_p (loop, gimple_bb (def_stmt2)))
5612 return false;
5614 any = true;
5618 if (!any)
5619 return true;
5621 FOR_EACH_SSA_TREE_OPERAND (op, stmt, i, SSA_OP_USE)
5623 gimple def_stmt = SSA_NAME_DEF_STMT (op);
5624 if (!gimple_nop_p (def_stmt)
5625 && flow_bb_inside_loop_p (loop, gimple_bb (def_stmt)))
5627 gimple_stmt_iterator gsi = gsi_for_stmt (def_stmt);
5628 gsi_remove (&gsi, false);
5629 gsi_insert_on_edge_immediate (loop_preheader_edge (loop), def_stmt);
5633 return true;
5636 /* vectorizable_load.
5638 Check if STMT reads a non scalar data-ref (array/pointer/structure) that
5639 can be vectorized.
5640 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
5641 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
5642 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
5644 static bool
5645 vectorizable_load (gimple stmt, gimple_stmt_iterator *gsi, gimple *vec_stmt,
5646 slp_tree slp_node, slp_instance slp_node_instance)
5648 tree scalar_dest;
5649 tree vec_dest = NULL;
5650 tree data_ref = NULL;
5651 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
5652 stmt_vec_info prev_stmt_info;
5653 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
5654 struct loop *loop = NULL;
5655 struct loop *containing_loop = (gimple_bb (stmt))->loop_father;
5656 bool nested_in_vect_loop = false;
5657 struct data_reference *dr = STMT_VINFO_DATA_REF (stmt_info), *first_dr = NULL;
5658 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
5659 tree elem_type;
5660 tree new_temp;
5661 machine_mode mode;
5662 gimple new_stmt = NULL;
5663 tree dummy;
5664 enum dr_alignment_support alignment_support_scheme;
5665 tree dataref_ptr = NULL_TREE;
5666 tree dataref_offset = NULL_TREE;
5667 gimple ptr_incr = NULL;
5668 int nunits = TYPE_VECTOR_SUBPARTS (vectype);
5669 int ncopies;
5670 int i, j, group_size, group_gap;
5671 tree msq = NULL_TREE, lsq;
5672 tree offset = NULL_TREE;
5673 tree byte_offset = NULL_TREE;
5674 tree realignment_token = NULL_TREE;
5675 gphi *phi = NULL;
5676 vec<tree> dr_chain = vNULL;
5677 bool grouped_load = false;
5678 bool load_lanes_p = false;
5679 gimple first_stmt;
5680 bool inv_p;
5681 bool negative = false;
5682 bool compute_in_loop = false;
5683 struct loop *at_loop;
5684 int vec_num;
5685 bool slp = (slp_node != NULL);
5686 bool slp_perm = false;
5687 enum tree_code code;
5688 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
5689 int vf;
5690 tree aggr_type;
5691 tree gather_base = NULL_TREE, gather_off = NULL_TREE;
5692 tree gather_off_vectype = NULL_TREE, gather_decl = NULL_TREE;
5693 int gather_scale = 1;
5694 enum vect_def_type gather_dt = vect_unknown_def_type;
5696 if (loop_vinfo)
5698 loop = LOOP_VINFO_LOOP (loop_vinfo);
5699 nested_in_vect_loop = nested_in_vect_loop_p (loop, stmt);
5700 vf = LOOP_VINFO_VECT_FACTOR (loop_vinfo);
5702 else
5703 vf = 1;
5705 /* Multiple types in SLP are handled by creating the appropriate number of
5706 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
5707 case of SLP. */
5708 if (slp || PURE_SLP_STMT (stmt_info))
5709 ncopies = 1;
5710 else
5711 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
5713 gcc_assert (ncopies >= 1);
5715 /* FORNOW. This restriction should be relaxed. */
5716 if (nested_in_vect_loop && ncopies > 1)
5718 if (dump_enabled_p ())
5719 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5720 "multiple types in nested loop.\n");
5721 return false;
5724 /* Invalidate assumptions made by dependence analysis when vectorization
5725 on the unrolled body effectively re-orders stmts. */
5726 if (ncopies > 1
5727 && STMT_VINFO_MIN_NEG_DIST (stmt_info) != 0
5728 && ((unsigned)LOOP_VINFO_VECT_FACTOR (loop_vinfo)
5729 > STMT_VINFO_MIN_NEG_DIST (stmt_info)))
5731 if (dump_enabled_p ())
5732 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5733 "cannot perform implicit CSE when unrolling "
5734 "with negative dependence distance\n");
5735 return false;
5738 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
5739 return false;
5741 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def)
5742 return false;
5744 /* Is vectorizable load? */
5745 if (!is_gimple_assign (stmt))
5746 return false;
5748 scalar_dest = gimple_assign_lhs (stmt);
5749 if (TREE_CODE (scalar_dest) != SSA_NAME)
5750 return false;
5752 code = gimple_assign_rhs_code (stmt);
5753 if (code != ARRAY_REF
5754 && code != BIT_FIELD_REF
5755 && code != INDIRECT_REF
5756 && code != COMPONENT_REF
5757 && code != IMAGPART_EXPR
5758 && code != REALPART_EXPR
5759 && code != MEM_REF
5760 && TREE_CODE_CLASS (code) != tcc_declaration)
5761 return false;
5763 if (!STMT_VINFO_DATA_REF (stmt_info))
5764 return false;
5766 elem_type = TREE_TYPE (vectype);
5767 mode = TYPE_MODE (vectype);
5769 /* FORNOW. In some cases can vectorize even if data-type not supported
5770 (e.g. - data copies). */
5771 if (optab_handler (mov_optab, mode) == CODE_FOR_nothing)
5773 if (dump_enabled_p ())
5774 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5775 "Aligned load, but unsupported type.\n");
5776 return false;
5779 /* Check if the load is a part of an interleaving chain. */
5780 if (STMT_VINFO_GROUPED_ACCESS (stmt_info))
5782 grouped_load = true;
5783 /* FORNOW */
5784 gcc_assert (! nested_in_vect_loop && !STMT_VINFO_GATHER_P (stmt_info));
5786 first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
5788 /* If this is single-element interleaving with an element distance
5789 that leaves unused vector loads around punt - we at least create
5790 very sub-optimal code in that case (and blow up memory,
5791 see PR65518). */
5792 if (first_stmt == stmt
5793 && !GROUP_NEXT_ELEMENT (stmt_info)
5794 && GROUP_SIZE (stmt_info) > TYPE_VECTOR_SUBPARTS (vectype))
5796 if (dump_enabled_p ())
5797 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5798 "single-element interleaving not supported "
5799 "for not adjacent vector loads\n");
5800 return false;
5803 if (!slp && !PURE_SLP_STMT (stmt_info))
5805 group_size = GROUP_SIZE (vinfo_for_stmt (first_stmt));
5806 if (vect_load_lanes_supported (vectype, group_size))
5807 load_lanes_p = true;
5808 else if (!vect_grouped_load_supported (vectype, group_size))
5809 return false;
5812 /* Invalidate assumptions made by dependence analysis when vectorization
5813 on the unrolled body effectively re-orders stmts. */
5814 if (!PURE_SLP_STMT (stmt_info)
5815 && STMT_VINFO_MIN_NEG_DIST (stmt_info) != 0
5816 && ((unsigned)LOOP_VINFO_VECT_FACTOR (loop_vinfo)
5817 > STMT_VINFO_MIN_NEG_DIST (stmt_info)))
5819 if (dump_enabled_p ())
5820 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5821 "cannot perform implicit CSE when performing "
5822 "group loads with negative dependence distance\n");
5823 return false;
5826 /* Similarly when the stmt is a load that is both part of a SLP
5827 instance and a loop vectorized stmt via the same-dr mechanism
5828 we have to give up. */
5829 if (STMT_VINFO_GROUP_SAME_DR_STMT (stmt_info)
5830 && (STMT_SLP_TYPE (stmt_info)
5831 != STMT_SLP_TYPE (vinfo_for_stmt
5832 (STMT_VINFO_GROUP_SAME_DR_STMT (stmt_info)))))
5834 if (dump_enabled_p ())
5835 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5836 "conflicting SLP types for CSEd load\n");
5837 return false;
5842 if (STMT_VINFO_GATHER_P (stmt_info))
5844 gimple def_stmt;
5845 tree def;
5846 gather_decl = vect_check_gather (stmt, loop_vinfo, &gather_base,
5847 &gather_off, &gather_scale);
5848 gcc_assert (gather_decl);
5849 if (!vect_is_simple_use_1 (gather_off, NULL, loop_vinfo, bb_vinfo,
5850 &def_stmt, &def, &gather_dt,
5851 &gather_off_vectype))
5853 if (dump_enabled_p ())
5854 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5855 "gather index use not simple.\n");
5856 return false;
5859 else if (STMT_VINFO_STRIDE_LOAD_P (stmt_info))
5861 else
5863 negative = tree_int_cst_compare (nested_in_vect_loop
5864 ? STMT_VINFO_DR_STEP (stmt_info)
5865 : DR_STEP (dr),
5866 size_zero_node) < 0;
5867 if (negative && ncopies > 1)
5869 if (dump_enabled_p ())
5870 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5871 "multiple types with negative step.\n");
5872 return false;
5875 if (negative)
5877 if (grouped_load)
5879 if (dump_enabled_p ())
5880 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5881 "negative step for group load not supported"
5882 "\n");
5883 return false;
5885 alignment_support_scheme = vect_supportable_dr_alignment (dr, false);
5886 if (alignment_support_scheme != dr_aligned
5887 && alignment_support_scheme != dr_unaligned_supported)
5889 if (dump_enabled_p ())
5890 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5891 "negative step but alignment required.\n");
5892 return false;
5894 if (!perm_mask_for_reverse (vectype))
5896 if (dump_enabled_p ())
5897 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
5898 "negative step and reversing not supported."
5899 "\n");
5900 return false;
5905 if (!vec_stmt) /* transformation not required. */
5907 STMT_VINFO_TYPE (stmt_info) = load_vec_info_type;
5908 vect_model_load_cost (stmt_info, ncopies, load_lanes_p, NULL, NULL, NULL);
5909 return true;
5912 if (dump_enabled_p ())
5913 dump_printf_loc (MSG_NOTE, vect_location,
5914 "transform load. ncopies = %d\n", ncopies);
5916 /** Transform. **/
5918 ensure_base_align (stmt_info, dr);
5920 if (STMT_VINFO_GATHER_P (stmt_info))
5922 tree vec_oprnd0 = NULL_TREE, op;
5923 tree arglist = TYPE_ARG_TYPES (TREE_TYPE (gather_decl));
5924 tree rettype, srctype, ptrtype, idxtype, masktype, scaletype;
5925 tree ptr, mask, var, scale, merge, perm_mask = NULL_TREE, prev_res = NULL_TREE;
5926 edge pe = loop_preheader_edge (loop);
5927 gimple_seq seq;
5928 basic_block new_bb;
5929 enum { NARROW, NONE, WIDEN } modifier;
5930 int gather_off_nunits = TYPE_VECTOR_SUBPARTS (gather_off_vectype);
5932 if (nunits == gather_off_nunits)
5933 modifier = NONE;
5934 else if (nunits == gather_off_nunits / 2)
5936 unsigned char *sel = XALLOCAVEC (unsigned char, gather_off_nunits);
5937 modifier = WIDEN;
5939 for (i = 0; i < gather_off_nunits; ++i)
5940 sel[i] = i | nunits;
5942 perm_mask = vect_gen_perm_mask_checked (gather_off_vectype, sel);
5944 else if (nunits == gather_off_nunits * 2)
5946 unsigned char *sel = XALLOCAVEC (unsigned char, nunits);
5947 modifier = NARROW;
5949 for (i = 0; i < nunits; ++i)
5950 sel[i] = i < gather_off_nunits
5951 ? i : i + nunits - gather_off_nunits;
5953 perm_mask = vect_gen_perm_mask_checked (vectype, sel);
5954 ncopies *= 2;
5956 else
5957 gcc_unreachable ();
5959 rettype = TREE_TYPE (TREE_TYPE (gather_decl));
5960 srctype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
5961 ptrtype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
5962 idxtype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
5963 masktype = TREE_VALUE (arglist); arglist = TREE_CHAIN (arglist);
5964 scaletype = TREE_VALUE (arglist);
5965 gcc_checking_assert (types_compatible_p (srctype, rettype));
5967 vec_dest = vect_create_destination_var (scalar_dest, vectype);
5969 ptr = fold_convert (ptrtype, gather_base);
5970 if (!is_gimple_min_invariant (ptr))
5972 ptr = force_gimple_operand (ptr, &seq, true, NULL_TREE);
5973 new_bb = gsi_insert_seq_on_edge_immediate (pe, seq);
5974 gcc_assert (!new_bb);
5977 /* Currently we support only unconditional gather loads,
5978 so mask should be all ones. */
5979 if (TREE_CODE (masktype) == INTEGER_TYPE)
5980 mask = build_int_cst (masktype, -1);
5981 else if (TREE_CODE (TREE_TYPE (masktype)) == INTEGER_TYPE)
5983 mask = build_int_cst (TREE_TYPE (masktype), -1);
5984 mask = build_vector_from_val (masktype, mask);
5985 mask = vect_init_vector (stmt, mask, masktype, NULL);
5987 else if (SCALAR_FLOAT_TYPE_P (TREE_TYPE (masktype)))
5989 REAL_VALUE_TYPE r;
5990 long tmp[6];
5991 for (j = 0; j < 6; ++j)
5992 tmp[j] = -1;
5993 real_from_target (&r, tmp, TYPE_MODE (TREE_TYPE (masktype)));
5994 mask = build_real (TREE_TYPE (masktype), r);
5995 mask = build_vector_from_val (masktype, mask);
5996 mask = vect_init_vector (stmt, mask, masktype, NULL);
5998 else
5999 gcc_unreachable ();
6001 scale = build_int_cst (scaletype, gather_scale);
6003 if (TREE_CODE (TREE_TYPE (rettype)) == INTEGER_TYPE)
6004 merge = build_int_cst (TREE_TYPE (rettype), 0);
6005 else if (SCALAR_FLOAT_TYPE_P (TREE_TYPE (rettype)))
6007 REAL_VALUE_TYPE r;
6008 long tmp[6];
6009 for (j = 0; j < 6; ++j)
6010 tmp[j] = 0;
6011 real_from_target (&r, tmp, TYPE_MODE (TREE_TYPE (rettype)));
6012 merge = build_real (TREE_TYPE (rettype), r);
6014 else
6015 gcc_unreachable ();
6016 merge = build_vector_from_val (rettype, merge);
6017 merge = vect_init_vector (stmt, merge, rettype, NULL);
6019 prev_stmt_info = NULL;
6020 for (j = 0; j < ncopies; ++j)
6022 if (modifier == WIDEN && (j & 1))
6023 op = permute_vec_elements (vec_oprnd0, vec_oprnd0,
6024 perm_mask, stmt, gsi);
6025 else if (j == 0)
6026 op = vec_oprnd0
6027 = vect_get_vec_def_for_operand (gather_off, stmt, NULL);
6028 else
6029 op = vec_oprnd0
6030 = vect_get_vec_def_for_stmt_copy (gather_dt, vec_oprnd0);
6032 if (!useless_type_conversion_p (idxtype, TREE_TYPE (op)))
6034 gcc_assert (TYPE_VECTOR_SUBPARTS (TREE_TYPE (op))
6035 == TYPE_VECTOR_SUBPARTS (idxtype));
6036 var = vect_get_new_vect_var (idxtype, vect_simple_var, NULL);
6037 var = make_ssa_name (var);
6038 op = build1 (VIEW_CONVERT_EXPR, idxtype, op);
6039 new_stmt
6040 = gimple_build_assign (var, VIEW_CONVERT_EXPR, op);
6041 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6042 op = var;
6045 new_stmt
6046 = gimple_build_call (gather_decl, 5, merge, ptr, op, mask, scale);
6048 if (!useless_type_conversion_p (vectype, rettype))
6050 gcc_assert (TYPE_VECTOR_SUBPARTS (vectype)
6051 == TYPE_VECTOR_SUBPARTS (rettype));
6052 var = vect_get_new_vect_var (rettype, vect_simple_var, NULL);
6053 op = make_ssa_name (var, new_stmt);
6054 gimple_call_set_lhs (new_stmt, op);
6055 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6056 var = make_ssa_name (vec_dest);
6057 op = build1 (VIEW_CONVERT_EXPR, vectype, op);
6058 new_stmt
6059 = gimple_build_assign (var, VIEW_CONVERT_EXPR, op);
6061 else
6063 var = make_ssa_name (vec_dest, new_stmt);
6064 gimple_call_set_lhs (new_stmt, var);
6067 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6069 if (modifier == NARROW)
6071 if ((j & 1) == 0)
6073 prev_res = var;
6074 continue;
6076 var = permute_vec_elements (prev_res, var,
6077 perm_mask, stmt, gsi);
6078 new_stmt = SSA_NAME_DEF_STMT (var);
6081 if (prev_stmt_info == NULL)
6082 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
6083 else
6084 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
6085 prev_stmt_info = vinfo_for_stmt (new_stmt);
6087 return true;
6089 else if (STMT_VINFO_STRIDE_LOAD_P (stmt_info))
6091 gimple_stmt_iterator incr_gsi;
6092 bool insert_after;
6093 gimple incr;
6094 tree offvar;
6095 tree ivstep;
6096 tree running_off;
6097 vec<constructor_elt, va_gc> *v = NULL;
6098 gimple_seq stmts = NULL;
6099 tree stride_base, stride_step, alias_off;
6101 gcc_assert (!nested_in_vect_loop);
6103 stride_base
6104 = fold_build_pointer_plus
6105 (unshare_expr (DR_BASE_ADDRESS (dr)),
6106 size_binop (PLUS_EXPR,
6107 convert_to_ptrofftype (unshare_expr (DR_OFFSET (dr))),
6108 convert_to_ptrofftype (DR_INIT (dr))));
6109 stride_step = fold_convert (sizetype, unshare_expr (DR_STEP (dr)));
6111 /* For a load with loop-invariant (but other than power-of-2)
6112 stride (i.e. not a grouped access) like so:
6114 for (i = 0; i < n; i += stride)
6115 ... = array[i];
6117 we generate a new induction variable and new accesses to
6118 form a new vector (or vectors, depending on ncopies):
6120 for (j = 0; ; j += VF*stride)
6121 tmp1 = array[j];
6122 tmp2 = array[j + stride];
6124 vectemp = {tmp1, tmp2, ...}
6127 ivstep = stride_step;
6128 ivstep = fold_build2 (MULT_EXPR, TREE_TYPE (ivstep), ivstep,
6129 build_int_cst (TREE_TYPE (ivstep), vf));
6131 standard_iv_increment_position (loop, &incr_gsi, &insert_after);
6133 create_iv (stride_base, ivstep, NULL,
6134 loop, &incr_gsi, insert_after,
6135 &offvar, NULL);
6136 incr = gsi_stmt (incr_gsi);
6137 set_vinfo_for_stmt (incr, new_stmt_vec_info (incr, loop_vinfo, NULL));
6139 stride_step = force_gimple_operand (stride_step, &stmts, true, NULL_TREE);
6140 if (stmts)
6141 gsi_insert_seq_on_edge_immediate (loop_preheader_edge (loop), stmts);
6143 prev_stmt_info = NULL;
6144 running_off = offvar;
6145 alias_off = build_int_cst (reference_alias_ptr_type (DR_REF (dr)), 0);
6146 for (j = 0; j < ncopies; j++)
6148 tree vec_inv;
6150 vec_alloc (v, nunits);
6151 for (i = 0; i < nunits; i++)
6153 tree newref, newoff;
6154 gimple incr;
6155 newref = build2 (MEM_REF, TREE_TYPE (vectype),
6156 running_off, alias_off);
6158 newref = force_gimple_operand_gsi (gsi, newref, true,
6159 NULL_TREE, true,
6160 GSI_SAME_STMT);
6161 CONSTRUCTOR_APPEND_ELT (v, NULL_TREE, newref);
6162 newoff = copy_ssa_name (running_off);
6163 incr = gimple_build_assign (newoff, POINTER_PLUS_EXPR,
6164 running_off, stride_step);
6165 vect_finish_stmt_generation (stmt, incr, gsi);
6167 running_off = newoff;
6170 vec_inv = build_constructor (vectype, v);
6171 new_temp = vect_init_vector (stmt, vec_inv, vectype, gsi);
6172 new_stmt = SSA_NAME_DEF_STMT (new_temp);
6174 if (j == 0)
6175 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
6176 else
6177 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
6178 prev_stmt_info = vinfo_for_stmt (new_stmt);
6180 return true;
6183 if (grouped_load)
6185 first_stmt = GROUP_FIRST_ELEMENT (stmt_info);
6186 if (slp
6187 && !SLP_TREE_LOAD_PERMUTATION (slp_node).exists ()
6188 && first_stmt != SLP_TREE_SCALAR_STMTS (slp_node)[0])
6189 first_stmt = SLP_TREE_SCALAR_STMTS (slp_node)[0];
6191 /* Check if the chain of loads is already vectorized. */
6192 if (STMT_VINFO_VEC_STMT (vinfo_for_stmt (first_stmt))
6193 /* For SLP we would need to copy over SLP_TREE_VEC_STMTS.
6194 ??? But we can only do so if there is exactly one
6195 as we have no way to get at the rest. Leave the CSE
6196 opportunity alone.
6197 ??? With the group load eventually participating
6198 in multiple different permutations (having multiple
6199 slp nodes which refer to the same group) the CSE
6200 is even wrong code. See PR56270. */
6201 && !slp)
6203 *vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
6204 return true;
6206 first_dr = STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt));
6207 group_size = GROUP_SIZE (vinfo_for_stmt (first_stmt));
6209 /* VEC_NUM is the number of vect stmts to be created for this group. */
6210 if (slp)
6212 grouped_load = false;
6213 vec_num = SLP_TREE_NUMBER_OF_VEC_STMTS (slp_node);
6214 if (SLP_TREE_LOAD_PERMUTATION (slp_node).exists ())
6215 slp_perm = true;
6216 group_gap = GROUP_GAP (vinfo_for_stmt (first_stmt));
6218 else
6220 vec_num = group_size;
6221 group_gap = 0;
6224 else
6226 first_stmt = stmt;
6227 first_dr = dr;
6228 group_size = vec_num = 1;
6229 group_gap = 0;
6232 alignment_support_scheme = vect_supportable_dr_alignment (first_dr, false);
6233 gcc_assert (alignment_support_scheme);
6234 /* Targets with load-lane instructions must not require explicit
6235 realignment. */
6236 gcc_assert (!load_lanes_p
6237 || alignment_support_scheme == dr_aligned
6238 || alignment_support_scheme == dr_unaligned_supported);
6240 /* In case the vectorization factor (VF) is bigger than the number
6241 of elements that we can fit in a vectype (nunits), we have to generate
6242 more than one vector stmt - i.e - we need to "unroll" the
6243 vector stmt by a factor VF/nunits. In doing so, we record a pointer
6244 from one copy of the vector stmt to the next, in the field
6245 STMT_VINFO_RELATED_STMT. This is necessary in order to allow following
6246 stages to find the correct vector defs to be used when vectorizing
6247 stmts that use the defs of the current stmt. The example below
6248 illustrates the vectorization process when VF=16 and nunits=4 (i.e., we
6249 need to create 4 vectorized stmts):
6251 before vectorization:
6252 RELATED_STMT VEC_STMT
6253 S1: x = memref - -
6254 S2: z = x + 1 - -
6256 step 1: vectorize stmt S1:
6257 We first create the vector stmt VS1_0, and, as usual, record a
6258 pointer to it in the STMT_VINFO_VEC_STMT of the scalar stmt S1.
6259 Next, we create the vector stmt VS1_1, and record a pointer to
6260 it in the STMT_VINFO_RELATED_STMT of the vector stmt VS1_0.
6261 Similarly, for VS1_2 and VS1_3. This is the resulting chain of
6262 stmts and pointers:
6263 RELATED_STMT VEC_STMT
6264 VS1_0: vx0 = memref0 VS1_1 -
6265 VS1_1: vx1 = memref1 VS1_2 -
6266 VS1_2: vx2 = memref2 VS1_3 -
6267 VS1_3: vx3 = memref3 - -
6268 S1: x = load - VS1_0
6269 S2: z = x + 1 - -
6271 See in documentation in vect_get_vec_def_for_stmt_copy for how the
6272 information we recorded in RELATED_STMT field is used to vectorize
6273 stmt S2. */
6275 /* In case of interleaving (non-unit grouped access):
6277 S1: x2 = &base + 2
6278 S2: x0 = &base
6279 S3: x1 = &base + 1
6280 S4: x3 = &base + 3
6282 Vectorized loads are created in the order of memory accesses
6283 starting from the access of the first stmt of the chain:
6285 VS1: vx0 = &base
6286 VS2: vx1 = &base + vec_size*1
6287 VS3: vx3 = &base + vec_size*2
6288 VS4: vx4 = &base + vec_size*3
6290 Then permutation statements are generated:
6292 VS5: vx5 = VEC_PERM_EXPR < vx0, vx1, { 0, 2, ..., i*2 } >
6293 VS6: vx6 = VEC_PERM_EXPR < vx0, vx1, { 1, 3, ..., i*2+1 } >
6296 And they are put in STMT_VINFO_VEC_STMT of the corresponding scalar stmts
6297 (the order of the data-refs in the output of vect_permute_load_chain
6298 corresponds to the order of scalar stmts in the interleaving chain - see
6299 the documentation of vect_permute_load_chain()).
6300 The generation of permutation stmts and recording them in
6301 STMT_VINFO_VEC_STMT is done in vect_transform_grouped_load().
6303 In case of both multiple types and interleaving, the vector loads and
6304 permutation stmts above are created for every copy. The result vector
6305 stmts are put in STMT_VINFO_VEC_STMT for the first copy and in the
6306 corresponding STMT_VINFO_RELATED_STMT for the next copies. */
6308 /* If the data reference is aligned (dr_aligned) or potentially unaligned
6309 on a target that supports unaligned accesses (dr_unaligned_supported)
6310 we generate the following code:
6311 p = initial_addr;
6312 indx = 0;
6313 loop {
6314 p = p + indx * vectype_size;
6315 vec_dest = *(p);
6316 indx = indx + 1;
6319 Otherwise, the data reference is potentially unaligned on a target that
6320 does not support unaligned accesses (dr_explicit_realign_optimized) -
6321 then generate the following code, in which the data in each iteration is
6322 obtained by two vector loads, one from the previous iteration, and one
6323 from the current iteration:
6324 p1 = initial_addr;
6325 msq_init = *(floor(p1))
6326 p2 = initial_addr + VS - 1;
6327 realignment_token = call target_builtin;
6328 indx = 0;
6329 loop {
6330 p2 = p2 + indx * vectype_size
6331 lsq = *(floor(p2))
6332 vec_dest = realign_load (msq, lsq, realignment_token)
6333 indx = indx + 1;
6334 msq = lsq;
6335 } */
6337 /* If the misalignment remains the same throughout the execution of the
6338 loop, we can create the init_addr and permutation mask at the loop
6339 preheader. Otherwise, it needs to be created inside the loop.
6340 This can only occur when vectorizing memory accesses in the inner-loop
6341 nested within an outer-loop that is being vectorized. */
6343 if (nested_in_vect_loop
6344 && (TREE_INT_CST_LOW (DR_STEP (dr))
6345 % GET_MODE_SIZE (TYPE_MODE (vectype)) != 0))
6347 gcc_assert (alignment_support_scheme != dr_explicit_realign_optimized);
6348 compute_in_loop = true;
6351 if ((alignment_support_scheme == dr_explicit_realign_optimized
6352 || alignment_support_scheme == dr_explicit_realign)
6353 && !compute_in_loop)
6355 msq = vect_setup_realignment (first_stmt, gsi, &realignment_token,
6356 alignment_support_scheme, NULL_TREE,
6357 &at_loop);
6358 if (alignment_support_scheme == dr_explicit_realign_optimized)
6360 phi = as_a <gphi *> (SSA_NAME_DEF_STMT (msq));
6361 byte_offset = size_binop (MINUS_EXPR, TYPE_SIZE_UNIT (vectype),
6362 size_one_node);
6365 else
6366 at_loop = loop;
6368 if (negative)
6369 offset = size_int (-TYPE_VECTOR_SUBPARTS (vectype) + 1);
6371 if (load_lanes_p)
6372 aggr_type = build_array_type_nelts (elem_type, vec_num * nunits);
6373 else
6374 aggr_type = vectype;
6376 prev_stmt_info = NULL;
6377 for (j = 0; j < ncopies; j++)
6379 /* 1. Create the vector or array pointer update chain. */
6380 if (j == 0)
6382 bool simd_lane_access_p
6383 = STMT_VINFO_SIMD_LANE_ACCESS_P (stmt_info);
6384 if (simd_lane_access_p
6385 && TREE_CODE (DR_BASE_ADDRESS (first_dr)) == ADDR_EXPR
6386 && VAR_P (TREE_OPERAND (DR_BASE_ADDRESS (first_dr), 0))
6387 && integer_zerop (DR_OFFSET (first_dr))
6388 && integer_zerop (DR_INIT (first_dr))
6389 && alias_sets_conflict_p (get_alias_set (aggr_type),
6390 get_alias_set (DR_REF (first_dr)))
6391 && (alignment_support_scheme == dr_aligned
6392 || alignment_support_scheme == dr_unaligned_supported))
6394 dataref_ptr = unshare_expr (DR_BASE_ADDRESS (first_dr));
6395 dataref_offset = build_int_cst (reference_alias_ptr_type
6396 (DR_REF (first_dr)), 0);
6397 inv_p = false;
6399 else
6400 dataref_ptr
6401 = vect_create_data_ref_ptr (first_stmt, aggr_type, at_loop,
6402 offset, &dummy, gsi, &ptr_incr,
6403 simd_lane_access_p, &inv_p,
6404 byte_offset);
6406 else if (dataref_offset)
6407 dataref_offset = int_const_binop (PLUS_EXPR, dataref_offset,
6408 TYPE_SIZE_UNIT (aggr_type));
6409 else
6410 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi, stmt,
6411 TYPE_SIZE_UNIT (aggr_type));
6413 if (grouped_load || slp_perm)
6414 dr_chain.create (vec_num);
6416 if (load_lanes_p)
6418 tree vec_array;
6420 vec_array = create_vector_array (vectype, vec_num);
6422 /* Emit:
6423 VEC_ARRAY = LOAD_LANES (MEM_REF[...all elements...]). */
6424 data_ref = create_array_ref (aggr_type, dataref_ptr, first_dr);
6425 new_stmt = gimple_build_call_internal (IFN_LOAD_LANES, 1, data_ref);
6426 gimple_call_set_lhs (new_stmt, vec_array);
6427 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6429 /* Extract each vector into an SSA_NAME. */
6430 for (i = 0; i < vec_num; i++)
6432 new_temp = read_vector_array (stmt, gsi, scalar_dest,
6433 vec_array, i);
6434 dr_chain.quick_push (new_temp);
6437 /* Record the mapping between SSA_NAMEs and statements. */
6438 vect_record_grouped_load_vectors (stmt, dr_chain);
6440 else
6442 for (i = 0; i < vec_num; i++)
6444 if (i > 0)
6445 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi,
6446 stmt, NULL_TREE);
6448 /* 2. Create the vector-load in the loop. */
6449 switch (alignment_support_scheme)
6451 case dr_aligned:
6452 case dr_unaligned_supported:
6454 unsigned int align, misalign;
6456 data_ref
6457 = build2 (MEM_REF, vectype, dataref_ptr,
6458 dataref_offset
6459 ? dataref_offset
6460 : build_int_cst (reference_alias_ptr_type
6461 (DR_REF (first_dr)), 0));
6462 align = TYPE_ALIGN_UNIT (vectype);
6463 if (alignment_support_scheme == dr_aligned)
6465 gcc_assert (aligned_access_p (first_dr));
6466 misalign = 0;
6468 else if (DR_MISALIGNMENT (first_dr) == -1)
6470 if (DR_VECT_AUX (first_dr)->base_element_aligned)
6471 align = TYPE_ALIGN_UNIT (elem_type);
6472 else
6473 align = (get_object_alignment (DR_REF (first_dr))
6474 / BITS_PER_UNIT);
6475 misalign = 0;
6476 TREE_TYPE (data_ref)
6477 = build_aligned_type (TREE_TYPE (data_ref),
6478 align * BITS_PER_UNIT);
6480 else
6482 TREE_TYPE (data_ref)
6483 = build_aligned_type (TREE_TYPE (data_ref),
6484 TYPE_ALIGN (elem_type));
6485 misalign = DR_MISALIGNMENT (first_dr);
6487 if (dataref_offset == NULL_TREE)
6488 set_ptr_info_alignment (get_ptr_info (dataref_ptr),
6489 align, misalign);
6490 break;
6492 case dr_explicit_realign:
6494 tree ptr, bump;
6496 tree vs = size_int (TYPE_VECTOR_SUBPARTS (vectype));
6498 if (compute_in_loop)
6499 msq = vect_setup_realignment (first_stmt, gsi,
6500 &realignment_token,
6501 dr_explicit_realign,
6502 dataref_ptr, NULL);
6504 ptr = copy_ssa_name (dataref_ptr);
6505 new_stmt = gimple_build_assign
6506 (ptr, BIT_AND_EXPR, dataref_ptr,
6507 build_int_cst
6508 (TREE_TYPE (dataref_ptr),
6509 -(HOST_WIDE_INT)TYPE_ALIGN_UNIT (vectype)));
6510 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6511 data_ref
6512 = build2 (MEM_REF, vectype, ptr,
6513 build_int_cst (reference_alias_ptr_type
6514 (DR_REF (first_dr)), 0));
6515 vec_dest = vect_create_destination_var (scalar_dest,
6516 vectype);
6517 new_stmt = gimple_build_assign (vec_dest, data_ref);
6518 new_temp = make_ssa_name (vec_dest, new_stmt);
6519 gimple_assign_set_lhs (new_stmt, new_temp);
6520 gimple_set_vdef (new_stmt, gimple_vdef (stmt));
6521 gimple_set_vuse (new_stmt, gimple_vuse (stmt));
6522 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6523 msq = new_temp;
6525 bump = size_binop (MULT_EXPR, vs,
6526 TYPE_SIZE_UNIT (elem_type));
6527 bump = size_binop (MINUS_EXPR, bump, size_one_node);
6528 ptr = bump_vector_ptr (dataref_ptr, NULL, gsi, stmt, bump);
6529 new_stmt = gimple_build_assign
6530 (NULL_TREE, BIT_AND_EXPR, ptr,
6531 build_int_cst
6532 (TREE_TYPE (ptr),
6533 -(HOST_WIDE_INT)TYPE_ALIGN_UNIT (vectype)));
6534 ptr = copy_ssa_name (dataref_ptr, new_stmt);
6535 gimple_assign_set_lhs (new_stmt, ptr);
6536 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6537 data_ref
6538 = build2 (MEM_REF, vectype, ptr,
6539 build_int_cst (reference_alias_ptr_type
6540 (DR_REF (first_dr)), 0));
6541 break;
6543 case dr_explicit_realign_optimized:
6544 new_temp = copy_ssa_name (dataref_ptr);
6545 new_stmt = gimple_build_assign
6546 (new_temp, BIT_AND_EXPR, dataref_ptr,
6547 build_int_cst
6548 (TREE_TYPE (dataref_ptr),
6549 -(HOST_WIDE_INT)TYPE_ALIGN_UNIT (vectype)));
6550 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6551 data_ref
6552 = build2 (MEM_REF, vectype, new_temp,
6553 build_int_cst (reference_alias_ptr_type
6554 (DR_REF (first_dr)), 0));
6555 break;
6556 default:
6557 gcc_unreachable ();
6559 vec_dest = vect_create_destination_var (scalar_dest, vectype);
6560 new_stmt = gimple_build_assign (vec_dest, data_ref);
6561 new_temp = make_ssa_name (vec_dest, new_stmt);
6562 gimple_assign_set_lhs (new_stmt, new_temp);
6563 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6565 /* 3. Handle explicit realignment if necessary/supported.
6566 Create in loop:
6567 vec_dest = realign_load (msq, lsq, realignment_token) */
6568 if (alignment_support_scheme == dr_explicit_realign_optimized
6569 || alignment_support_scheme == dr_explicit_realign)
6571 lsq = gimple_assign_lhs (new_stmt);
6572 if (!realignment_token)
6573 realignment_token = dataref_ptr;
6574 vec_dest = vect_create_destination_var (scalar_dest, vectype);
6575 new_stmt = gimple_build_assign (vec_dest, REALIGN_LOAD_EXPR,
6576 msq, lsq, realignment_token);
6577 new_temp = make_ssa_name (vec_dest, new_stmt);
6578 gimple_assign_set_lhs (new_stmt, new_temp);
6579 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6581 if (alignment_support_scheme == dr_explicit_realign_optimized)
6583 gcc_assert (phi);
6584 if (i == vec_num - 1 && j == ncopies - 1)
6585 add_phi_arg (phi, lsq,
6586 loop_latch_edge (containing_loop),
6587 UNKNOWN_LOCATION);
6588 msq = lsq;
6592 /* 4. Handle invariant-load. */
6593 if (inv_p && !bb_vinfo)
6595 gcc_assert (!grouped_load);
6596 /* If we have versioned for aliasing or the loop doesn't
6597 have any data dependencies that would preclude this,
6598 then we are sure this is a loop invariant load and
6599 thus we can insert it on the preheader edge. */
6600 if (LOOP_VINFO_NO_DATA_DEPENDENCIES (loop_vinfo)
6601 && !nested_in_vect_loop
6602 && hoist_defs_of_uses (stmt, loop))
6604 if (dump_enabled_p ())
6606 dump_printf_loc (MSG_NOTE, vect_location,
6607 "hoisting out of the vectorized "
6608 "loop: ");
6609 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
6611 tree tem = copy_ssa_name (scalar_dest);
6612 gsi_insert_on_edge_immediate
6613 (loop_preheader_edge (loop),
6614 gimple_build_assign (tem,
6615 unshare_expr
6616 (gimple_assign_rhs1 (stmt))));
6617 new_temp = vect_init_vector (stmt, tem, vectype, NULL);
6619 else
6621 gimple_stmt_iterator gsi2 = *gsi;
6622 gsi_next (&gsi2);
6623 new_temp = vect_init_vector (stmt, scalar_dest,
6624 vectype, &gsi2);
6626 new_stmt = SSA_NAME_DEF_STMT (new_temp);
6627 set_vinfo_for_stmt (new_stmt,
6628 new_stmt_vec_info (new_stmt, loop_vinfo,
6629 bb_vinfo));
6632 if (negative)
6634 tree perm_mask = perm_mask_for_reverse (vectype);
6635 new_temp = permute_vec_elements (new_temp, new_temp,
6636 perm_mask, stmt, gsi);
6637 new_stmt = SSA_NAME_DEF_STMT (new_temp);
6640 /* Collect vector loads and later create their permutation in
6641 vect_transform_grouped_load (). */
6642 if (grouped_load || slp_perm)
6643 dr_chain.quick_push (new_temp);
6645 /* Store vector loads in the corresponding SLP_NODE. */
6646 if (slp && !slp_perm)
6647 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
6649 /* Bump the vector pointer to account for a gap. */
6650 if (slp && group_gap != 0)
6652 tree bump = size_binop (MULT_EXPR,
6653 TYPE_SIZE_UNIT (elem_type),
6654 size_int (group_gap));
6655 dataref_ptr = bump_vector_ptr (dataref_ptr, ptr_incr, gsi,
6656 stmt, bump);
6660 if (slp && !slp_perm)
6661 continue;
6663 if (slp_perm)
6665 if (!vect_transform_slp_perm_load (slp_node, dr_chain, gsi, vf,
6666 slp_node_instance, false))
6668 dr_chain.release ();
6669 return false;
6672 else
6674 if (grouped_load)
6676 if (!load_lanes_p)
6677 vect_transform_grouped_load (stmt, dr_chain, group_size, gsi);
6678 *vec_stmt = STMT_VINFO_VEC_STMT (stmt_info);
6680 else
6682 if (j == 0)
6683 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
6684 else
6685 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
6686 prev_stmt_info = vinfo_for_stmt (new_stmt);
6689 dr_chain.release ();
6692 return true;
6695 /* Function vect_is_simple_cond.
6697 Input:
6698 LOOP - the loop that is being vectorized.
6699 COND - Condition that is checked for simple use.
6701 Output:
6702 *COMP_VECTYPE - the vector type for the comparison.
6704 Returns whether a COND can be vectorized. Checks whether
6705 condition operands are supportable using vec_is_simple_use. */
6707 static bool
6708 vect_is_simple_cond (tree cond, gimple stmt, loop_vec_info loop_vinfo,
6709 bb_vec_info bb_vinfo, tree *comp_vectype)
6711 tree lhs, rhs;
6712 tree def;
6713 enum vect_def_type dt;
6714 tree vectype1 = NULL_TREE, vectype2 = NULL_TREE;
6716 if (!COMPARISON_CLASS_P (cond))
6717 return false;
6719 lhs = TREE_OPERAND (cond, 0);
6720 rhs = TREE_OPERAND (cond, 1);
6722 if (TREE_CODE (lhs) == SSA_NAME)
6724 gimple lhs_def_stmt = SSA_NAME_DEF_STMT (lhs);
6725 if (!vect_is_simple_use_1 (lhs, stmt, loop_vinfo, bb_vinfo,
6726 &lhs_def_stmt, &def, &dt, &vectype1))
6727 return false;
6729 else if (TREE_CODE (lhs) != INTEGER_CST && TREE_CODE (lhs) != REAL_CST
6730 && TREE_CODE (lhs) != FIXED_CST)
6731 return false;
6733 if (TREE_CODE (rhs) == SSA_NAME)
6735 gimple rhs_def_stmt = SSA_NAME_DEF_STMT (rhs);
6736 if (!vect_is_simple_use_1 (rhs, stmt, loop_vinfo, bb_vinfo,
6737 &rhs_def_stmt, &def, &dt, &vectype2))
6738 return false;
6740 else if (TREE_CODE (rhs) != INTEGER_CST && TREE_CODE (rhs) != REAL_CST
6741 && TREE_CODE (rhs) != FIXED_CST)
6742 return false;
6744 *comp_vectype = vectype1 ? vectype1 : vectype2;
6745 return true;
6748 /* vectorizable_condition.
6750 Check if STMT is conditional modify expression that can be vectorized.
6751 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
6752 stmt using VEC_COND_EXPR to replace it, put it in VEC_STMT, and insert it
6753 at GSI.
6755 When STMT is vectorized as nested cycle, REDUC_DEF is the vector variable
6756 to be used at REDUC_INDEX (in then clause if REDUC_INDEX is 1, and in
6757 else caluse if it is 2).
6759 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
6761 bool
6762 vectorizable_condition (gimple stmt, gimple_stmt_iterator *gsi,
6763 gimple *vec_stmt, tree reduc_def, int reduc_index,
6764 slp_tree slp_node)
6766 tree scalar_dest = NULL_TREE;
6767 tree vec_dest = NULL_TREE;
6768 tree cond_expr, then_clause, else_clause;
6769 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
6770 tree vectype = STMT_VINFO_VECTYPE (stmt_info);
6771 tree comp_vectype = NULL_TREE;
6772 tree vec_cond_lhs = NULL_TREE, vec_cond_rhs = NULL_TREE;
6773 tree vec_then_clause = NULL_TREE, vec_else_clause = NULL_TREE;
6774 tree vec_compare, vec_cond_expr;
6775 tree new_temp;
6776 loop_vec_info loop_vinfo = STMT_VINFO_LOOP_VINFO (stmt_info);
6777 tree def;
6778 enum vect_def_type dt, dts[4];
6779 int nunits = TYPE_VECTOR_SUBPARTS (vectype);
6780 int ncopies;
6781 enum tree_code code;
6782 stmt_vec_info prev_stmt_info = NULL;
6783 int i, j;
6784 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
6785 vec<tree> vec_oprnds0 = vNULL;
6786 vec<tree> vec_oprnds1 = vNULL;
6787 vec<tree> vec_oprnds2 = vNULL;
6788 vec<tree> vec_oprnds3 = vNULL;
6789 tree vec_cmp_type;
6791 if (slp_node || PURE_SLP_STMT (stmt_info))
6792 ncopies = 1;
6793 else
6794 ncopies = LOOP_VINFO_VECT_FACTOR (loop_vinfo) / nunits;
6796 gcc_assert (ncopies >= 1);
6797 if (reduc_index && ncopies > 1)
6798 return false; /* FORNOW */
6800 if (reduc_index && STMT_SLP_TYPE (stmt_info))
6801 return false;
6803 if (!STMT_VINFO_RELEVANT_P (stmt_info) && !bb_vinfo)
6804 return false;
6806 if (STMT_VINFO_DEF_TYPE (stmt_info) != vect_internal_def
6807 && !(STMT_VINFO_DEF_TYPE (stmt_info) == vect_nested_cycle
6808 && reduc_def))
6809 return false;
6811 /* FORNOW: not yet supported. */
6812 if (STMT_VINFO_LIVE_P (stmt_info))
6814 if (dump_enabled_p ())
6815 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
6816 "value used after loop.\n");
6817 return false;
6820 /* Is vectorizable conditional operation? */
6821 if (!is_gimple_assign (stmt))
6822 return false;
6824 code = gimple_assign_rhs_code (stmt);
6826 if (code != COND_EXPR)
6827 return false;
6829 cond_expr = gimple_assign_rhs1 (stmt);
6830 then_clause = gimple_assign_rhs2 (stmt);
6831 else_clause = gimple_assign_rhs3 (stmt);
6833 if (!vect_is_simple_cond (cond_expr, stmt, loop_vinfo, bb_vinfo,
6834 &comp_vectype)
6835 || !comp_vectype)
6836 return false;
6838 if (TREE_CODE (then_clause) == SSA_NAME)
6840 gimple then_def_stmt = SSA_NAME_DEF_STMT (then_clause);
6841 if (!vect_is_simple_use (then_clause, stmt, loop_vinfo, bb_vinfo,
6842 &then_def_stmt, &def, &dt))
6843 return false;
6845 else if (TREE_CODE (then_clause) != INTEGER_CST
6846 && TREE_CODE (then_clause) != REAL_CST
6847 && TREE_CODE (then_clause) != FIXED_CST)
6848 return false;
6850 if (TREE_CODE (else_clause) == SSA_NAME)
6852 gimple else_def_stmt = SSA_NAME_DEF_STMT (else_clause);
6853 if (!vect_is_simple_use (else_clause, stmt, loop_vinfo, bb_vinfo,
6854 &else_def_stmt, &def, &dt))
6855 return false;
6857 else if (TREE_CODE (else_clause) != INTEGER_CST
6858 && TREE_CODE (else_clause) != REAL_CST
6859 && TREE_CODE (else_clause) != FIXED_CST)
6860 return false;
6862 unsigned int prec = GET_MODE_BITSIZE (TYPE_MODE (TREE_TYPE (vectype)));
6863 /* The result of a vector comparison should be signed type. */
6864 tree cmp_type = build_nonstandard_integer_type (prec, 0);
6865 vec_cmp_type = get_same_sized_vectype (cmp_type, vectype);
6866 if (vec_cmp_type == NULL_TREE)
6867 return false;
6869 if (!vec_stmt)
6871 STMT_VINFO_TYPE (stmt_info) = condition_vec_info_type;
6872 return expand_vec_cond_expr_p (vectype, comp_vectype);
6875 /* Transform. */
6877 if (!slp_node)
6879 vec_oprnds0.create (1);
6880 vec_oprnds1.create (1);
6881 vec_oprnds2.create (1);
6882 vec_oprnds3.create (1);
6885 /* Handle def. */
6886 scalar_dest = gimple_assign_lhs (stmt);
6887 vec_dest = vect_create_destination_var (scalar_dest, vectype);
6889 /* Handle cond expr. */
6890 for (j = 0; j < ncopies; j++)
6892 gassign *new_stmt = NULL;
6893 if (j == 0)
6895 if (slp_node)
6897 auto_vec<tree, 4> ops;
6898 auto_vec<vec<tree>, 4> vec_defs;
6900 ops.safe_push (TREE_OPERAND (cond_expr, 0));
6901 ops.safe_push (TREE_OPERAND (cond_expr, 1));
6902 ops.safe_push (then_clause);
6903 ops.safe_push (else_clause);
6904 vect_get_slp_defs (ops, slp_node, &vec_defs, -1);
6905 vec_oprnds3 = vec_defs.pop ();
6906 vec_oprnds2 = vec_defs.pop ();
6907 vec_oprnds1 = vec_defs.pop ();
6908 vec_oprnds0 = vec_defs.pop ();
6910 ops.release ();
6911 vec_defs.release ();
6913 else
6915 gimple gtemp;
6916 vec_cond_lhs =
6917 vect_get_vec_def_for_operand (TREE_OPERAND (cond_expr, 0),
6918 stmt, NULL);
6919 vect_is_simple_use (TREE_OPERAND (cond_expr, 0), stmt,
6920 loop_vinfo, NULL, &gtemp, &def, &dts[0]);
6922 vec_cond_rhs =
6923 vect_get_vec_def_for_operand (TREE_OPERAND (cond_expr, 1),
6924 stmt, NULL);
6925 vect_is_simple_use (TREE_OPERAND (cond_expr, 1), stmt,
6926 loop_vinfo, NULL, &gtemp, &def, &dts[1]);
6927 if (reduc_index == 1)
6928 vec_then_clause = reduc_def;
6929 else
6931 vec_then_clause = vect_get_vec_def_for_operand (then_clause,
6932 stmt, NULL);
6933 vect_is_simple_use (then_clause, stmt, loop_vinfo,
6934 NULL, &gtemp, &def, &dts[2]);
6936 if (reduc_index == 2)
6937 vec_else_clause = reduc_def;
6938 else
6940 vec_else_clause = vect_get_vec_def_for_operand (else_clause,
6941 stmt, NULL);
6942 vect_is_simple_use (else_clause, stmt, loop_vinfo,
6943 NULL, &gtemp, &def, &dts[3]);
6947 else
6949 vec_cond_lhs = vect_get_vec_def_for_stmt_copy (dts[0],
6950 vec_oprnds0.pop ());
6951 vec_cond_rhs = vect_get_vec_def_for_stmt_copy (dts[1],
6952 vec_oprnds1.pop ());
6953 vec_then_clause = vect_get_vec_def_for_stmt_copy (dts[2],
6954 vec_oprnds2.pop ());
6955 vec_else_clause = vect_get_vec_def_for_stmt_copy (dts[3],
6956 vec_oprnds3.pop ());
6959 if (!slp_node)
6961 vec_oprnds0.quick_push (vec_cond_lhs);
6962 vec_oprnds1.quick_push (vec_cond_rhs);
6963 vec_oprnds2.quick_push (vec_then_clause);
6964 vec_oprnds3.quick_push (vec_else_clause);
6967 /* Arguments are ready. Create the new vector stmt. */
6968 FOR_EACH_VEC_ELT (vec_oprnds0, i, vec_cond_lhs)
6970 vec_cond_rhs = vec_oprnds1[i];
6971 vec_then_clause = vec_oprnds2[i];
6972 vec_else_clause = vec_oprnds3[i];
6974 vec_compare = build2 (TREE_CODE (cond_expr), vec_cmp_type,
6975 vec_cond_lhs, vec_cond_rhs);
6976 vec_cond_expr = build3 (VEC_COND_EXPR, vectype,
6977 vec_compare, vec_then_clause, vec_else_clause);
6979 new_stmt = gimple_build_assign (vec_dest, vec_cond_expr);
6980 new_temp = make_ssa_name (vec_dest, new_stmt);
6981 gimple_assign_set_lhs (new_stmt, new_temp);
6982 vect_finish_stmt_generation (stmt, new_stmt, gsi);
6983 if (slp_node)
6984 SLP_TREE_VEC_STMTS (slp_node).quick_push (new_stmt);
6987 if (slp_node)
6988 continue;
6990 if (j == 0)
6991 STMT_VINFO_VEC_STMT (stmt_info) = *vec_stmt = new_stmt;
6992 else
6993 STMT_VINFO_RELATED_STMT (prev_stmt_info) = new_stmt;
6995 prev_stmt_info = vinfo_for_stmt (new_stmt);
6998 vec_oprnds0.release ();
6999 vec_oprnds1.release ();
7000 vec_oprnds2.release ();
7001 vec_oprnds3.release ();
7003 return true;
7007 /* Make sure the statement is vectorizable. */
7009 bool
7010 vect_analyze_stmt (gimple stmt, bool *need_to_vectorize, slp_tree node)
7012 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
7013 bb_vec_info bb_vinfo = STMT_VINFO_BB_VINFO (stmt_info);
7014 enum vect_relevant relevance = STMT_VINFO_RELEVANT (stmt_info);
7015 bool ok;
7016 tree scalar_type, vectype;
7017 gimple pattern_stmt;
7018 gimple_seq pattern_def_seq;
7020 if (dump_enabled_p ())
7022 dump_printf_loc (MSG_NOTE, vect_location, "==> examining statement: ");
7023 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
7026 if (gimple_has_volatile_ops (stmt))
7028 if (dump_enabled_p ())
7029 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7030 "not vectorized: stmt has volatile operands\n");
7032 return false;
7035 /* Skip stmts that do not need to be vectorized. In loops this is expected
7036 to include:
7037 - the COND_EXPR which is the loop exit condition
7038 - any LABEL_EXPRs in the loop
7039 - computations that are used only for array indexing or loop control.
7040 In basic blocks we only analyze statements that are a part of some SLP
7041 instance, therefore, all the statements are relevant.
7043 Pattern statement needs to be analyzed instead of the original statement
7044 if the original statement is not relevant. Otherwise, we analyze both
7045 statements. In basic blocks we are called from some SLP instance
7046 traversal, don't analyze pattern stmts instead, the pattern stmts
7047 already will be part of SLP instance. */
7049 pattern_stmt = STMT_VINFO_RELATED_STMT (stmt_info);
7050 if (!STMT_VINFO_RELEVANT_P (stmt_info)
7051 && !STMT_VINFO_LIVE_P (stmt_info))
7053 if (STMT_VINFO_IN_PATTERN_P (stmt_info)
7054 && pattern_stmt
7055 && (STMT_VINFO_RELEVANT_P (vinfo_for_stmt (pattern_stmt))
7056 || STMT_VINFO_LIVE_P (vinfo_for_stmt (pattern_stmt))))
7058 /* Analyze PATTERN_STMT instead of the original stmt. */
7059 stmt = pattern_stmt;
7060 stmt_info = vinfo_for_stmt (pattern_stmt);
7061 if (dump_enabled_p ())
7063 dump_printf_loc (MSG_NOTE, vect_location,
7064 "==> examining pattern statement: ");
7065 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
7068 else
7070 if (dump_enabled_p ())
7071 dump_printf_loc (MSG_NOTE, vect_location, "irrelevant.\n");
7073 return true;
7076 else if (STMT_VINFO_IN_PATTERN_P (stmt_info)
7077 && node == NULL
7078 && pattern_stmt
7079 && (STMT_VINFO_RELEVANT_P (vinfo_for_stmt (pattern_stmt))
7080 || STMT_VINFO_LIVE_P (vinfo_for_stmt (pattern_stmt))))
7082 /* Analyze PATTERN_STMT too. */
7083 if (dump_enabled_p ())
7085 dump_printf_loc (MSG_NOTE, vect_location,
7086 "==> examining pattern statement: ");
7087 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, stmt, 0);
7090 if (!vect_analyze_stmt (pattern_stmt, need_to_vectorize, node))
7091 return false;
7094 if (is_pattern_stmt_p (stmt_info)
7095 && node == NULL
7096 && (pattern_def_seq = STMT_VINFO_PATTERN_DEF_SEQ (stmt_info)))
7098 gimple_stmt_iterator si;
7100 for (si = gsi_start (pattern_def_seq); !gsi_end_p (si); gsi_next (&si))
7102 gimple pattern_def_stmt = gsi_stmt (si);
7103 if (STMT_VINFO_RELEVANT_P (vinfo_for_stmt (pattern_def_stmt))
7104 || STMT_VINFO_LIVE_P (vinfo_for_stmt (pattern_def_stmt)))
7106 /* Analyze def stmt of STMT if it's a pattern stmt. */
7107 if (dump_enabled_p ())
7109 dump_printf_loc (MSG_NOTE, vect_location,
7110 "==> examining pattern def statement: ");
7111 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, pattern_def_stmt, 0);
7114 if (!vect_analyze_stmt (pattern_def_stmt,
7115 need_to_vectorize, node))
7116 return false;
7121 switch (STMT_VINFO_DEF_TYPE (stmt_info))
7123 case vect_internal_def:
7124 break;
7126 case vect_reduction_def:
7127 case vect_nested_cycle:
7128 gcc_assert (!bb_vinfo && (relevance == vect_used_in_outer
7129 || relevance == vect_used_in_outer_by_reduction
7130 || relevance == vect_unused_in_scope));
7131 break;
7133 case vect_induction_def:
7134 case vect_constant_def:
7135 case vect_external_def:
7136 case vect_unknown_def_type:
7137 default:
7138 gcc_unreachable ();
7141 if (bb_vinfo)
7143 gcc_assert (PURE_SLP_STMT (stmt_info));
7145 scalar_type = TREE_TYPE (gimple_get_lhs (stmt));
7146 if (dump_enabled_p ())
7148 dump_printf_loc (MSG_NOTE, vect_location,
7149 "get vectype for scalar type: ");
7150 dump_generic_expr (MSG_NOTE, TDF_SLIM, scalar_type);
7151 dump_printf (MSG_NOTE, "\n");
7154 vectype = get_vectype_for_scalar_type (scalar_type);
7155 if (!vectype)
7157 if (dump_enabled_p ())
7159 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7160 "not SLPed: unsupported data-type ");
7161 dump_generic_expr (MSG_MISSED_OPTIMIZATION, TDF_SLIM,
7162 scalar_type);
7163 dump_printf (MSG_MISSED_OPTIMIZATION, "\n");
7165 return false;
7168 if (dump_enabled_p ())
7170 dump_printf_loc (MSG_NOTE, vect_location, "vectype: ");
7171 dump_generic_expr (MSG_NOTE, TDF_SLIM, vectype);
7172 dump_printf (MSG_NOTE, "\n");
7175 STMT_VINFO_VECTYPE (stmt_info) = vectype;
7178 if (STMT_VINFO_RELEVANT_P (stmt_info))
7180 gcc_assert (!VECTOR_MODE_P (TYPE_MODE (gimple_expr_type (stmt))));
7181 gcc_assert (STMT_VINFO_VECTYPE (stmt_info)
7182 || (is_gimple_call (stmt)
7183 && gimple_call_lhs (stmt) == NULL_TREE));
7184 *need_to_vectorize = true;
7187 ok = true;
7188 if (!bb_vinfo
7189 && (STMT_VINFO_RELEVANT_P (stmt_info)
7190 || STMT_VINFO_DEF_TYPE (stmt_info) == vect_reduction_def))
7191 ok = (vectorizable_simd_clone_call (stmt, NULL, NULL, NULL)
7192 || vectorizable_conversion (stmt, NULL, NULL, NULL)
7193 || vectorizable_shift (stmt, NULL, NULL, NULL)
7194 || vectorizable_operation (stmt, NULL, NULL, NULL)
7195 || vectorizable_assignment (stmt, NULL, NULL, NULL)
7196 || vectorizable_load (stmt, NULL, NULL, NULL, NULL)
7197 || vectorizable_call (stmt, NULL, NULL, NULL)
7198 || vectorizable_store (stmt, NULL, NULL, NULL)
7199 || vectorizable_reduction (stmt, NULL, NULL, NULL)
7200 || vectorizable_condition (stmt, NULL, NULL, NULL, 0, NULL));
7201 else
7203 if (bb_vinfo)
7204 ok = (vectorizable_simd_clone_call (stmt, NULL, NULL, node)
7205 || vectorizable_conversion (stmt, NULL, NULL, node)
7206 || vectorizable_shift (stmt, NULL, NULL, node)
7207 || vectorizable_operation (stmt, NULL, NULL, node)
7208 || vectorizable_assignment (stmt, NULL, NULL, node)
7209 || vectorizable_load (stmt, NULL, NULL, node, NULL)
7210 || vectorizable_call (stmt, NULL, NULL, node)
7211 || vectorizable_store (stmt, NULL, NULL, node)
7212 || vectorizable_condition (stmt, NULL, NULL, NULL, 0, node));
7215 if (!ok)
7217 if (dump_enabled_p ())
7219 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7220 "not vectorized: relevant stmt not ");
7221 dump_printf (MSG_MISSED_OPTIMIZATION, "supported: ");
7222 dump_gimple_stmt (MSG_MISSED_OPTIMIZATION, TDF_SLIM, stmt, 0);
7225 return false;
7228 if (bb_vinfo)
7229 return true;
7231 /* Stmts that are (also) "live" (i.e. - that are used out of the loop)
7232 need extra handling, except for vectorizable reductions. */
7233 if (STMT_VINFO_LIVE_P (stmt_info)
7234 && STMT_VINFO_TYPE (stmt_info) != reduc_vec_info_type)
7235 ok = vectorizable_live_operation (stmt, NULL, NULL);
7237 if (!ok)
7239 if (dump_enabled_p ())
7241 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7242 "not vectorized: live stmt not ");
7243 dump_printf (MSG_MISSED_OPTIMIZATION, "supported: ");
7244 dump_gimple_stmt (MSG_MISSED_OPTIMIZATION, TDF_SLIM, stmt, 0);
7247 return false;
7250 return true;
7254 /* Function vect_transform_stmt.
7256 Create a vectorized stmt to replace STMT, and insert it at BSI. */
7258 bool
7259 vect_transform_stmt (gimple stmt, gimple_stmt_iterator *gsi,
7260 bool *grouped_store, slp_tree slp_node,
7261 slp_instance slp_node_instance)
7263 bool is_store = false;
7264 gimple vec_stmt = NULL;
7265 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
7266 bool done;
7268 switch (STMT_VINFO_TYPE (stmt_info))
7270 case type_demotion_vec_info_type:
7271 case type_promotion_vec_info_type:
7272 case type_conversion_vec_info_type:
7273 done = vectorizable_conversion (stmt, gsi, &vec_stmt, slp_node);
7274 gcc_assert (done);
7275 break;
7277 case induc_vec_info_type:
7278 gcc_assert (!slp_node);
7279 done = vectorizable_induction (stmt, gsi, &vec_stmt);
7280 gcc_assert (done);
7281 break;
7283 case shift_vec_info_type:
7284 done = vectorizable_shift (stmt, gsi, &vec_stmt, slp_node);
7285 gcc_assert (done);
7286 break;
7288 case op_vec_info_type:
7289 done = vectorizable_operation (stmt, gsi, &vec_stmt, slp_node);
7290 gcc_assert (done);
7291 break;
7293 case assignment_vec_info_type:
7294 done = vectorizable_assignment (stmt, gsi, &vec_stmt, slp_node);
7295 gcc_assert (done);
7296 break;
7298 case load_vec_info_type:
7299 done = vectorizable_load (stmt, gsi, &vec_stmt, slp_node,
7300 slp_node_instance);
7301 gcc_assert (done);
7302 break;
7304 case store_vec_info_type:
7305 done = vectorizable_store (stmt, gsi, &vec_stmt, slp_node);
7306 gcc_assert (done);
7307 if (STMT_VINFO_GROUPED_ACCESS (stmt_info) && !slp_node)
7309 /* In case of interleaving, the whole chain is vectorized when the
7310 last store in the chain is reached. Store stmts before the last
7311 one are skipped, and there vec_stmt_info shouldn't be freed
7312 meanwhile. */
7313 *grouped_store = true;
7314 if (STMT_VINFO_VEC_STMT (stmt_info))
7315 is_store = true;
7317 else
7318 is_store = true;
7319 break;
7321 case condition_vec_info_type:
7322 done = vectorizable_condition (stmt, gsi, &vec_stmt, NULL, 0, slp_node);
7323 gcc_assert (done);
7324 break;
7326 case call_vec_info_type:
7327 done = vectorizable_call (stmt, gsi, &vec_stmt, slp_node);
7328 stmt = gsi_stmt (*gsi);
7329 if (is_gimple_call (stmt)
7330 && gimple_call_internal_p (stmt)
7331 && gimple_call_internal_fn (stmt) == IFN_MASK_STORE)
7332 is_store = true;
7333 break;
7335 case call_simd_clone_vec_info_type:
7336 done = vectorizable_simd_clone_call (stmt, gsi, &vec_stmt, slp_node);
7337 stmt = gsi_stmt (*gsi);
7338 break;
7340 case reduc_vec_info_type:
7341 done = vectorizable_reduction (stmt, gsi, &vec_stmt, slp_node);
7342 gcc_assert (done);
7343 break;
7345 default:
7346 if (!STMT_VINFO_LIVE_P (stmt_info))
7348 if (dump_enabled_p ())
7349 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7350 "stmt not supported.\n");
7351 gcc_unreachable ();
7355 /* Handle inner-loop stmts whose DEF is used in the loop-nest that
7356 is being vectorized, but outside the immediately enclosing loop. */
7357 if (vec_stmt
7358 && STMT_VINFO_LOOP_VINFO (stmt_info)
7359 && nested_in_vect_loop_p (LOOP_VINFO_LOOP (
7360 STMT_VINFO_LOOP_VINFO (stmt_info)), stmt)
7361 && STMT_VINFO_TYPE (stmt_info) != reduc_vec_info_type
7362 && (STMT_VINFO_RELEVANT (stmt_info) == vect_used_in_outer
7363 || STMT_VINFO_RELEVANT (stmt_info) ==
7364 vect_used_in_outer_by_reduction))
7366 struct loop *innerloop = LOOP_VINFO_LOOP (
7367 STMT_VINFO_LOOP_VINFO (stmt_info))->inner;
7368 imm_use_iterator imm_iter;
7369 use_operand_p use_p;
7370 tree scalar_dest;
7371 gimple exit_phi;
7373 if (dump_enabled_p ())
7374 dump_printf_loc (MSG_NOTE, vect_location,
7375 "Record the vdef for outer-loop vectorization.\n");
7377 /* Find the relevant loop-exit phi-node, and reord the vec_stmt there
7378 (to be used when vectorizing outer-loop stmts that use the DEF of
7379 STMT). */
7380 if (gimple_code (stmt) == GIMPLE_PHI)
7381 scalar_dest = PHI_RESULT (stmt);
7382 else
7383 scalar_dest = gimple_assign_lhs (stmt);
7385 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, scalar_dest)
7387 if (!flow_bb_inside_loop_p (innerloop, gimple_bb (USE_STMT (use_p))))
7389 exit_phi = USE_STMT (use_p);
7390 STMT_VINFO_VEC_STMT (vinfo_for_stmt (exit_phi)) = vec_stmt;
7395 /* Handle stmts whose DEF is used outside the loop-nest that is
7396 being vectorized. */
7397 if (STMT_VINFO_LIVE_P (stmt_info)
7398 && STMT_VINFO_TYPE (stmt_info) != reduc_vec_info_type)
7400 done = vectorizable_live_operation (stmt, gsi, &vec_stmt);
7401 gcc_assert (done);
7404 if (vec_stmt)
7405 STMT_VINFO_VEC_STMT (stmt_info) = vec_stmt;
7407 return is_store;
7411 /* Remove a group of stores (for SLP or interleaving), free their
7412 stmt_vec_info. */
7414 void
7415 vect_remove_stores (gimple first_stmt)
7417 gimple next = first_stmt;
7418 gimple tmp;
7419 gimple_stmt_iterator next_si;
7421 while (next)
7423 stmt_vec_info stmt_info = vinfo_for_stmt (next);
7425 tmp = GROUP_NEXT_ELEMENT (stmt_info);
7426 if (is_pattern_stmt_p (stmt_info))
7427 next = STMT_VINFO_RELATED_STMT (stmt_info);
7428 /* Free the attached stmt_vec_info and remove the stmt. */
7429 next_si = gsi_for_stmt (next);
7430 unlink_stmt_vdef (next);
7431 gsi_remove (&next_si, true);
7432 release_defs (next);
7433 free_stmt_vec_info (next);
7434 next = tmp;
7439 /* Function new_stmt_vec_info.
7441 Create and initialize a new stmt_vec_info struct for STMT. */
7443 stmt_vec_info
7444 new_stmt_vec_info (gimple stmt, loop_vec_info loop_vinfo,
7445 bb_vec_info bb_vinfo)
7447 stmt_vec_info res;
7448 res = (stmt_vec_info) xcalloc (1, sizeof (struct _stmt_vec_info));
7450 STMT_VINFO_TYPE (res) = undef_vec_info_type;
7451 STMT_VINFO_STMT (res) = stmt;
7452 STMT_VINFO_LOOP_VINFO (res) = loop_vinfo;
7453 STMT_VINFO_BB_VINFO (res) = bb_vinfo;
7454 STMT_VINFO_RELEVANT (res) = vect_unused_in_scope;
7455 STMT_VINFO_LIVE_P (res) = false;
7456 STMT_VINFO_VECTYPE (res) = NULL;
7457 STMT_VINFO_VEC_STMT (res) = NULL;
7458 STMT_VINFO_VECTORIZABLE (res) = true;
7459 STMT_VINFO_IN_PATTERN_P (res) = false;
7460 STMT_VINFO_RELATED_STMT (res) = NULL;
7461 STMT_VINFO_PATTERN_DEF_SEQ (res) = NULL;
7462 STMT_VINFO_DATA_REF (res) = NULL;
7464 STMT_VINFO_DR_BASE_ADDRESS (res) = NULL;
7465 STMT_VINFO_DR_OFFSET (res) = NULL;
7466 STMT_VINFO_DR_INIT (res) = NULL;
7467 STMT_VINFO_DR_STEP (res) = NULL;
7468 STMT_VINFO_DR_ALIGNED_TO (res) = NULL;
7470 if (gimple_code (stmt) == GIMPLE_PHI
7471 && is_loop_header_bb_p (gimple_bb (stmt)))
7472 STMT_VINFO_DEF_TYPE (res) = vect_unknown_def_type;
7473 else
7474 STMT_VINFO_DEF_TYPE (res) = vect_internal_def;
7476 STMT_VINFO_SAME_ALIGN_REFS (res).create (0);
7477 STMT_SLP_TYPE (res) = loop_vect;
7478 GROUP_FIRST_ELEMENT (res) = NULL;
7479 GROUP_NEXT_ELEMENT (res) = NULL;
7480 GROUP_SIZE (res) = 0;
7481 GROUP_STORE_COUNT (res) = 0;
7482 GROUP_GAP (res) = 0;
7483 GROUP_SAME_DR_STMT (res) = NULL;
7485 return res;
7489 /* Create a hash table for stmt_vec_info. */
7491 void
7492 init_stmt_vec_info_vec (void)
7494 gcc_assert (!stmt_vec_info_vec.exists ());
7495 stmt_vec_info_vec.create (50);
7499 /* Free hash table for stmt_vec_info. */
7501 void
7502 free_stmt_vec_info_vec (void)
7504 unsigned int i;
7505 vec_void_p info;
7506 FOR_EACH_VEC_ELT (stmt_vec_info_vec, i, info)
7507 if (info != NULL)
7508 free_stmt_vec_info (STMT_VINFO_STMT ((stmt_vec_info) info));
7509 gcc_assert (stmt_vec_info_vec.exists ());
7510 stmt_vec_info_vec.release ();
7514 /* Free stmt vectorization related info. */
7516 void
7517 free_stmt_vec_info (gimple stmt)
7519 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
7521 if (!stmt_info)
7522 return;
7524 /* Check if this statement has a related "pattern stmt"
7525 (introduced by the vectorizer during the pattern recognition
7526 pass). Free pattern's stmt_vec_info and def stmt's stmt_vec_info
7527 too. */
7528 if (STMT_VINFO_IN_PATTERN_P (stmt_info))
7530 stmt_vec_info patt_info
7531 = vinfo_for_stmt (STMT_VINFO_RELATED_STMT (stmt_info));
7532 if (patt_info)
7534 gimple_seq seq = STMT_VINFO_PATTERN_DEF_SEQ (patt_info);
7535 gimple patt_stmt = STMT_VINFO_STMT (patt_info);
7536 gimple_set_bb (patt_stmt, NULL);
7537 tree lhs = gimple_get_lhs (patt_stmt);
7538 if (TREE_CODE (lhs) == SSA_NAME)
7539 release_ssa_name (lhs);
7540 if (seq)
7542 gimple_stmt_iterator si;
7543 for (si = gsi_start (seq); !gsi_end_p (si); gsi_next (&si))
7545 gimple seq_stmt = gsi_stmt (si);
7546 gimple_set_bb (seq_stmt, NULL);
7547 lhs = gimple_get_lhs (patt_stmt);
7548 if (TREE_CODE (lhs) == SSA_NAME)
7549 release_ssa_name (lhs);
7550 free_stmt_vec_info (seq_stmt);
7553 free_stmt_vec_info (patt_stmt);
7557 STMT_VINFO_SAME_ALIGN_REFS (stmt_info).release ();
7558 STMT_VINFO_SIMD_CLONE_INFO (stmt_info).release ();
7559 set_vinfo_for_stmt (stmt, NULL);
7560 free (stmt_info);
7564 /* Function get_vectype_for_scalar_type_and_size.
7566 Returns the vector type corresponding to SCALAR_TYPE and SIZE as supported
7567 by the target. */
7569 static tree
7570 get_vectype_for_scalar_type_and_size (tree scalar_type, unsigned size)
7572 machine_mode inner_mode = TYPE_MODE (scalar_type);
7573 machine_mode simd_mode;
7574 unsigned int nbytes = GET_MODE_SIZE (inner_mode);
7575 int nunits;
7576 tree vectype;
7578 if (nbytes == 0)
7579 return NULL_TREE;
7581 if (GET_MODE_CLASS (inner_mode) != MODE_INT
7582 && GET_MODE_CLASS (inner_mode) != MODE_FLOAT)
7583 return NULL_TREE;
7585 /* For vector types of elements whose mode precision doesn't
7586 match their types precision we use a element type of mode
7587 precision. The vectorization routines will have to make sure
7588 they support the proper result truncation/extension.
7589 We also make sure to build vector types with INTEGER_TYPE
7590 component type only. */
7591 if (INTEGRAL_TYPE_P (scalar_type)
7592 && (GET_MODE_BITSIZE (inner_mode) != TYPE_PRECISION (scalar_type)
7593 || TREE_CODE (scalar_type) != INTEGER_TYPE))
7594 scalar_type = build_nonstandard_integer_type (GET_MODE_BITSIZE (inner_mode),
7595 TYPE_UNSIGNED (scalar_type));
7597 /* We shouldn't end up building VECTOR_TYPEs of non-scalar components.
7598 When the component mode passes the above test simply use a type
7599 corresponding to that mode. The theory is that any use that
7600 would cause problems with this will disable vectorization anyway. */
7601 else if (!SCALAR_FLOAT_TYPE_P (scalar_type)
7602 && !INTEGRAL_TYPE_P (scalar_type))
7603 scalar_type = lang_hooks.types.type_for_mode (inner_mode, 1);
7605 /* We can't build a vector type of elements with alignment bigger than
7606 their size. */
7607 else if (nbytes < TYPE_ALIGN_UNIT (scalar_type))
7608 scalar_type = lang_hooks.types.type_for_mode (inner_mode,
7609 TYPE_UNSIGNED (scalar_type));
7611 /* If we felt back to using the mode fail if there was
7612 no scalar type for it. */
7613 if (scalar_type == NULL_TREE)
7614 return NULL_TREE;
7616 /* If no size was supplied use the mode the target prefers. Otherwise
7617 lookup a vector mode of the specified size. */
7618 if (size == 0)
7619 simd_mode = targetm.vectorize.preferred_simd_mode (inner_mode);
7620 else
7621 simd_mode = mode_for_vector (inner_mode, size / nbytes);
7622 nunits = GET_MODE_SIZE (simd_mode) / nbytes;
7623 if (nunits <= 1)
7624 return NULL_TREE;
7626 vectype = build_vector_type (scalar_type, nunits);
7628 if (!VECTOR_MODE_P (TYPE_MODE (vectype))
7629 && !INTEGRAL_MODE_P (TYPE_MODE (vectype)))
7630 return NULL_TREE;
7632 return vectype;
7635 unsigned int current_vector_size;
7637 /* Function get_vectype_for_scalar_type.
7639 Returns the vector type corresponding to SCALAR_TYPE as supported
7640 by the target. */
7642 tree
7643 get_vectype_for_scalar_type (tree scalar_type)
7645 tree vectype;
7646 vectype = get_vectype_for_scalar_type_and_size (scalar_type,
7647 current_vector_size);
7648 if (vectype
7649 && current_vector_size == 0)
7650 current_vector_size = GET_MODE_SIZE (TYPE_MODE (vectype));
7651 return vectype;
7654 /* Function get_same_sized_vectype
7656 Returns a vector type corresponding to SCALAR_TYPE of size
7657 VECTOR_TYPE if supported by the target. */
7659 tree
7660 get_same_sized_vectype (tree scalar_type, tree vector_type)
7662 return get_vectype_for_scalar_type_and_size
7663 (scalar_type, GET_MODE_SIZE (TYPE_MODE (vector_type)));
7666 /* Function vect_is_simple_use.
7668 Input:
7669 LOOP_VINFO - the vect info of the loop that is being vectorized.
7670 BB_VINFO - the vect info of the basic block that is being vectorized.
7671 OPERAND - operand of STMT in the loop or bb.
7672 DEF - the defining stmt in case OPERAND is an SSA_NAME.
7674 Returns whether a stmt with OPERAND can be vectorized.
7675 For loops, supportable operands are constants, loop invariants, and operands
7676 that are defined by the current iteration of the loop. Unsupportable
7677 operands are those that are defined by a previous iteration of the loop (as
7678 is the case in reduction/induction computations).
7679 For basic blocks, supportable operands are constants and bb invariants.
7680 For now, operands defined outside the basic block are not supported. */
7682 bool
7683 vect_is_simple_use (tree operand, gimple stmt, loop_vec_info loop_vinfo,
7684 bb_vec_info bb_vinfo, gimple *def_stmt,
7685 tree *def, enum vect_def_type *dt)
7687 basic_block bb;
7688 stmt_vec_info stmt_vinfo;
7689 struct loop *loop = NULL;
7691 if (loop_vinfo)
7692 loop = LOOP_VINFO_LOOP (loop_vinfo);
7694 *def_stmt = NULL;
7695 *def = NULL_TREE;
7697 if (dump_enabled_p ())
7699 dump_printf_loc (MSG_NOTE, vect_location,
7700 "vect_is_simple_use: operand ");
7701 dump_generic_expr (MSG_NOTE, TDF_SLIM, operand);
7702 dump_printf (MSG_NOTE, "\n");
7705 if (CONSTANT_CLASS_P (operand))
7707 *dt = vect_constant_def;
7708 return true;
7711 if (is_gimple_min_invariant (operand))
7713 *def = operand;
7714 *dt = vect_external_def;
7715 return true;
7718 if (TREE_CODE (operand) == PAREN_EXPR)
7720 if (dump_enabled_p ())
7721 dump_printf_loc (MSG_NOTE, vect_location, "non-associatable copy.\n");
7722 operand = TREE_OPERAND (operand, 0);
7725 if (TREE_CODE (operand) != SSA_NAME)
7727 if (dump_enabled_p ())
7728 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7729 "not ssa-name.\n");
7730 return false;
7733 *def_stmt = SSA_NAME_DEF_STMT (operand);
7734 if (*def_stmt == NULL)
7736 if (dump_enabled_p ())
7737 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7738 "no def_stmt.\n");
7739 return false;
7742 if (dump_enabled_p ())
7744 dump_printf_loc (MSG_NOTE, vect_location, "def_stmt: ");
7745 dump_gimple_stmt (MSG_NOTE, TDF_SLIM, *def_stmt, 0);
7748 /* Empty stmt is expected only in case of a function argument.
7749 (Otherwise - we expect a phi_node or a GIMPLE_ASSIGN). */
7750 if (gimple_nop_p (*def_stmt))
7752 *def = operand;
7753 *dt = vect_external_def;
7754 return true;
7757 bb = gimple_bb (*def_stmt);
7759 if ((loop && !flow_bb_inside_loop_p (loop, bb))
7760 || (!loop && bb != BB_VINFO_BB (bb_vinfo))
7761 || (!loop && gimple_code (*def_stmt) == GIMPLE_PHI))
7762 *dt = vect_external_def;
7763 else
7765 stmt_vinfo = vinfo_for_stmt (*def_stmt);
7766 *dt = STMT_VINFO_DEF_TYPE (stmt_vinfo);
7769 if (*dt == vect_unknown_def_type
7770 || (stmt
7771 && *dt == vect_double_reduction_def
7772 && gimple_code (stmt) != GIMPLE_PHI))
7774 if (dump_enabled_p ())
7775 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7776 "Unsupported pattern.\n");
7777 return false;
7780 if (dump_enabled_p ())
7781 dump_printf_loc (MSG_NOTE, vect_location, "type of def: %d.\n", *dt);
7783 switch (gimple_code (*def_stmt))
7785 case GIMPLE_PHI:
7786 *def = gimple_phi_result (*def_stmt);
7787 break;
7789 case GIMPLE_ASSIGN:
7790 *def = gimple_assign_lhs (*def_stmt);
7791 break;
7793 case GIMPLE_CALL:
7794 *def = gimple_call_lhs (*def_stmt);
7795 if (*def != NULL)
7796 break;
7797 /* FALLTHRU */
7798 default:
7799 if (dump_enabled_p ())
7800 dump_printf_loc (MSG_MISSED_OPTIMIZATION, vect_location,
7801 "unsupported defining stmt:\n");
7802 return false;
7805 return true;
7808 /* Function vect_is_simple_use_1.
7810 Same as vect_is_simple_use_1 but also determines the vector operand
7811 type of OPERAND and stores it to *VECTYPE. If the definition of
7812 OPERAND is vect_uninitialized_def, vect_constant_def or
7813 vect_external_def *VECTYPE will be set to NULL_TREE and the caller
7814 is responsible to compute the best suited vector type for the
7815 scalar operand. */
7817 bool
7818 vect_is_simple_use_1 (tree operand, gimple stmt, loop_vec_info loop_vinfo,
7819 bb_vec_info bb_vinfo, gimple *def_stmt,
7820 tree *def, enum vect_def_type *dt, tree *vectype)
7822 if (!vect_is_simple_use (operand, stmt, loop_vinfo, bb_vinfo, def_stmt,
7823 def, dt))
7824 return false;
7826 /* Now get a vector type if the def is internal, otherwise supply
7827 NULL_TREE and leave it up to the caller to figure out a proper
7828 type for the use stmt. */
7829 if (*dt == vect_internal_def
7830 || *dt == vect_induction_def
7831 || *dt == vect_reduction_def
7832 || *dt == vect_double_reduction_def
7833 || *dt == vect_nested_cycle)
7835 stmt_vec_info stmt_info = vinfo_for_stmt (*def_stmt);
7837 if (STMT_VINFO_IN_PATTERN_P (stmt_info)
7838 && !STMT_VINFO_RELEVANT (stmt_info)
7839 && !STMT_VINFO_LIVE_P (stmt_info))
7840 stmt_info = vinfo_for_stmt (STMT_VINFO_RELATED_STMT (stmt_info));
7842 *vectype = STMT_VINFO_VECTYPE (stmt_info);
7843 gcc_assert (*vectype != NULL_TREE);
7845 else if (*dt == vect_uninitialized_def
7846 || *dt == vect_constant_def
7847 || *dt == vect_external_def)
7848 *vectype = NULL_TREE;
7849 else
7850 gcc_unreachable ();
7852 return true;
7856 /* Function supportable_widening_operation
7858 Check whether an operation represented by the code CODE is a
7859 widening operation that is supported by the target platform in
7860 vector form (i.e., when operating on arguments of type VECTYPE_IN
7861 producing a result of type VECTYPE_OUT).
7863 Widening operations we currently support are NOP (CONVERT), FLOAT
7864 and WIDEN_MULT. This function checks if these operations are supported
7865 by the target platform either directly (via vector tree-codes), or via
7866 target builtins.
7868 Output:
7869 - CODE1 and CODE2 are codes of vector operations to be used when
7870 vectorizing the operation, if available.
7871 - MULTI_STEP_CVT determines the number of required intermediate steps in
7872 case of multi-step conversion (like char->short->int - in that case
7873 MULTI_STEP_CVT will be 1).
7874 - INTERM_TYPES contains the intermediate type required to perform the
7875 widening operation (short in the above example). */
7877 bool
7878 supportable_widening_operation (enum tree_code code, gimple stmt,
7879 tree vectype_out, tree vectype_in,
7880 enum tree_code *code1, enum tree_code *code2,
7881 int *multi_step_cvt,
7882 vec<tree> *interm_types)
7884 stmt_vec_info stmt_info = vinfo_for_stmt (stmt);
7885 loop_vec_info loop_info = STMT_VINFO_LOOP_VINFO (stmt_info);
7886 struct loop *vect_loop = NULL;
7887 machine_mode vec_mode;
7888 enum insn_code icode1, icode2;
7889 optab optab1, optab2;
7890 tree vectype = vectype_in;
7891 tree wide_vectype = vectype_out;
7892 enum tree_code c1, c2;
7893 int i;
7894 tree prev_type, intermediate_type;
7895 machine_mode intermediate_mode, prev_mode;
7896 optab optab3, optab4;
7898 *multi_step_cvt = 0;
7899 if (loop_info)
7900 vect_loop = LOOP_VINFO_LOOP (loop_info);
7902 switch (code)
7904 case WIDEN_MULT_EXPR:
7905 /* The result of a vectorized widening operation usually requires
7906 two vectors (because the widened results do not fit into one vector).
7907 The generated vector results would normally be expected to be
7908 generated in the same order as in the original scalar computation,
7909 i.e. if 8 results are generated in each vector iteration, they are
7910 to be organized as follows:
7911 vect1: [res1,res2,res3,res4],
7912 vect2: [res5,res6,res7,res8].
7914 However, in the special case that the result of the widening
7915 operation is used in a reduction computation only, the order doesn't
7916 matter (because when vectorizing a reduction we change the order of
7917 the computation). Some targets can take advantage of this and
7918 generate more efficient code. For example, targets like Altivec,
7919 that support widen_mult using a sequence of {mult_even,mult_odd}
7920 generate the following vectors:
7921 vect1: [res1,res3,res5,res7],
7922 vect2: [res2,res4,res6,res8].
7924 When vectorizing outer-loops, we execute the inner-loop sequentially
7925 (each vectorized inner-loop iteration contributes to VF outer-loop
7926 iterations in parallel). We therefore don't allow to change the
7927 order of the computation in the inner-loop during outer-loop
7928 vectorization. */
7929 /* TODO: Another case in which order doesn't *really* matter is when we
7930 widen and then contract again, e.g. (short)((int)x * y >> 8).
7931 Normally, pack_trunc performs an even/odd permute, whereas the
7932 repack from an even/odd expansion would be an interleave, which
7933 would be significantly simpler for e.g. AVX2. */
7934 /* In any case, in order to avoid duplicating the code below, recurse
7935 on VEC_WIDEN_MULT_EVEN_EXPR. If it succeeds, all the return values
7936 are properly set up for the caller. If we fail, we'll continue with
7937 a VEC_WIDEN_MULT_LO/HI_EXPR check. */
7938 if (vect_loop
7939 && STMT_VINFO_RELEVANT (stmt_info) == vect_used_by_reduction
7940 && !nested_in_vect_loop_p (vect_loop, stmt)
7941 && supportable_widening_operation (VEC_WIDEN_MULT_EVEN_EXPR,
7942 stmt, vectype_out, vectype_in,
7943 code1, code2, multi_step_cvt,
7944 interm_types))
7946 /* Elements in a vector with vect_used_by_reduction property cannot
7947 be reordered if the use chain with this property does not have the
7948 same operation. One such an example is s += a * b, where elements
7949 in a and b cannot be reordered. Here we check if the vector defined
7950 by STMT is only directly used in the reduction statement. */
7951 tree lhs = gimple_assign_lhs (stmt);
7952 use_operand_p dummy;
7953 gimple use_stmt;
7954 stmt_vec_info use_stmt_info = NULL;
7955 if (single_imm_use (lhs, &dummy, &use_stmt)
7956 && (use_stmt_info = vinfo_for_stmt (use_stmt))
7957 && STMT_VINFO_DEF_TYPE (use_stmt_info) == vect_reduction_def)
7958 return true;
7960 c1 = VEC_WIDEN_MULT_LO_EXPR;
7961 c2 = VEC_WIDEN_MULT_HI_EXPR;
7962 break;
7964 case VEC_WIDEN_MULT_EVEN_EXPR:
7965 /* Support the recursion induced just above. */
7966 c1 = VEC_WIDEN_MULT_EVEN_EXPR;
7967 c2 = VEC_WIDEN_MULT_ODD_EXPR;
7968 break;
7970 case WIDEN_LSHIFT_EXPR:
7971 c1 = VEC_WIDEN_LSHIFT_LO_EXPR;
7972 c2 = VEC_WIDEN_LSHIFT_HI_EXPR;
7973 break;
7975 CASE_CONVERT:
7976 c1 = VEC_UNPACK_LO_EXPR;
7977 c2 = VEC_UNPACK_HI_EXPR;
7978 break;
7980 case FLOAT_EXPR:
7981 c1 = VEC_UNPACK_FLOAT_LO_EXPR;
7982 c2 = VEC_UNPACK_FLOAT_HI_EXPR;
7983 break;
7985 case FIX_TRUNC_EXPR:
7986 /* ??? Not yet implemented due to missing VEC_UNPACK_FIX_TRUNC_HI_EXPR/
7987 VEC_UNPACK_FIX_TRUNC_LO_EXPR tree codes and optabs used for
7988 computing the operation. */
7989 return false;
7991 default:
7992 gcc_unreachable ();
7995 if (BYTES_BIG_ENDIAN && c1 != VEC_WIDEN_MULT_EVEN_EXPR)
7997 enum tree_code ctmp = c1;
7998 c1 = c2;
7999 c2 = ctmp;
8002 if (code == FIX_TRUNC_EXPR)
8004 /* The signedness is determined from output operand. */
8005 optab1 = optab_for_tree_code (c1, vectype_out, optab_default);
8006 optab2 = optab_for_tree_code (c2, vectype_out, optab_default);
8008 else
8010 optab1 = optab_for_tree_code (c1, vectype, optab_default);
8011 optab2 = optab_for_tree_code (c2, vectype, optab_default);
8014 if (!optab1 || !optab2)
8015 return false;
8017 vec_mode = TYPE_MODE (vectype);
8018 if ((icode1 = optab_handler (optab1, vec_mode)) == CODE_FOR_nothing
8019 || (icode2 = optab_handler (optab2, vec_mode)) == CODE_FOR_nothing)
8020 return false;
8022 *code1 = c1;
8023 *code2 = c2;
8025 if (insn_data[icode1].operand[0].mode == TYPE_MODE (wide_vectype)
8026 && insn_data[icode2].operand[0].mode == TYPE_MODE (wide_vectype))
8027 return true;
8029 /* Check if it's a multi-step conversion that can be done using intermediate
8030 types. */
8032 prev_type = vectype;
8033 prev_mode = vec_mode;
8035 if (!CONVERT_EXPR_CODE_P (code))
8036 return false;
8038 /* We assume here that there will not be more than MAX_INTERM_CVT_STEPS
8039 intermediate steps in promotion sequence. We try
8040 MAX_INTERM_CVT_STEPS to get to NARROW_VECTYPE, and fail if we do
8041 not. */
8042 interm_types->create (MAX_INTERM_CVT_STEPS);
8043 for (i = 0; i < MAX_INTERM_CVT_STEPS; i++)
8045 intermediate_mode = insn_data[icode1].operand[0].mode;
8046 intermediate_type
8047 = lang_hooks.types.type_for_mode (intermediate_mode,
8048 TYPE_UNSIGNED (prev_type));
8049 optab3 = optab_for_tree_code (c1, intermediate_type, optab_default);
8050 optab4 = optab_for_tree_code (c2, intermediate_type, optab_default);
8052 if (!optab3 || !optab4
8053 || (icode1 = optab_handler (optab1, prev_mode)) == CODE_FOR_nothing
8054 || insn_data[icode1].operand[0].mode != intermediate_mode
8055 || (icode2 = optab_handler (optab2, prev_mode)) == CODE_FOR_nothing
8056 || insn_data[icode2].operand[0].mode != intermediate_mode
8057 || ((icode1 = optab_handler (optab3, intermediate_mode))
8058 == CODE_FOR_nothing)
8059 || ((icode2 = optab_handler (optab4, intermediate_mode))
8060 == CODE_FOR_nothing))
8061 break;
8063 interm_types->quick_push (intermediate_type);
8064 (*multi_step_cvt)++;
8066 if (insn_data[icode1].operand[0].mode == TYPE_MODE (wide_vectype)
8067 && insn_data[icode2].operand[0].mode == TYPE_MODE (wide_vectype))
8068 return true;
8070 prev_type = intermediate_type;
8071 prev_mode = intermediate_mode;
8074 interm_types->release ();
8075 return false;
8079 /* Function supportable_narrowing_operation
8081 Check whether an operation represented by the code CODE is a
8082 narrowing operation that is supported by the target platform in
8083 vector form (i.e., when operating on arguments of type VECTYPE_IN
8084 and producing a result of type VECTYPE_OUT).
8086 Narrowing operations we currently support are NOP (CONVERT) and
8087 FIX_TRUNC. This function checks if these operations are supported by
8088 the target platform directly via vector tree-codes.
8090 Output:
8091 - CODE1 is the code of a vector operation to be used when
8092 vectorizing the operation, if available.
8093 - MULTI_STEP_CVT determines the number of required intermediate steps in
8094 case of multi-step conversion (like int->short->char - in that case
8095 MULTI_STEP_CVT will be 1).
8096 - INTERM_TYPES contains the intermediate type required to perform the
8097 narrowing operation (short in the above example). */
8099 bool
8100 supportable_narrowing_operation (enum tree_code code,
8101 tree vectype_out, tree vectype_in,
8102 enum tree_code *code1, int *multi_step_cvt,
8103 vec<tree> *interm_types)
8105 machine_mode vec_mode;
8106 enum insn_code icode1;
8107 optab optab1, interm_optab;
8108 tree vectype = vectype_in;
8109 tree narrow_vectype = vectype_out;
8110 enum tree_code c1;
8111 tree intermediate_type;
8112 machine_mode intermediate_mode, prev_mode;
8113 int i;
8114 bool uns;
8116 *multi_step_cvt = 0;
8117 switch (code)
8119 CASE_CONVERT:
8120 c1 = VEC_PACK_TRUNC_EXPR;
8121 break;
8123 case FIX_TRUNC_EXPR:
8124 c1 = VEC_PACK_FIX_TRUNC_EXPR;
8125 break;
8127 case FLOAT_EXPR:
8128 /* ??? Not yet implemented due to missing VEC_PACK_FLOAT_EXPR
8129 tree code and optabs used for computing the operation. */
8130 return false;
8132 default:
8133 gcc_unreachable ();
8136 if (code == FIX_TRUNC_EXPR)
8137 /* The signedness is determined from output operand. */
8138 optab1 = optab_for_tree_code (c1, vectype_out, optab_default);
8139 else
8140 optab1 = optab_for_tree_code (c1, vectype, optab_default);
8142 if (!optab1)
8143 return false;
8145 vec_mode = TYPE_MODE (vectype);
8146 if ((icode1 = optab_handler (optab1, vec_mode)) == CODE_FOR_nothing)
8147 return false;
8149 *code1 = c1;
8151 if (insn_data[icode1].operand[0].mode == TYPE_MODE (narrow_vectype))
8152 return true;
8154 /* Check if it's a multi-step conversion that can be done using intermediate
8155 types. */
8156 prev_mode = vec_mode;
8157 if (code == FIX_TRUNC_EXPR)
8158 uns = TYPE_UNSIGNED (vectype_out);
8159 else
8160 uns = TYPE_UNSIGNED (vectype);
8162 /* For multi-step FIX_TRUNC_EXPR prefer signed floating to integer
8163 conversion over unsigned, as unsigned FIX_TRUNC_EXPR is often more
8164 costly than signed. */
8165 if (code == FIX_TRUNC_EXPR && uns)
8167 enum insn_code icode2;
8169 intermediate_type
8170 = lang_hooks.types.type_for_mode (TYPE_MODE (vectype_out), 0);
8171 interm_optab
8172 = optab_for_tree_code (c1, intermediate_type, optab_default);
8173 if (interm_optab != unknown_optab
8174 && (icode2 = optab_handler (optab1, vec_mode)) != CODE_FOR_nothing
8175 && insn_data[icode1].operand[0].mode
8176 == insn_data[icode2].operand[0].mode)
8178 uns = false;
8179 optab1 = interm_optab;
8180 icode1 = icode2;
8184 /* We assume here that there will not be more than MAX_INTERM_CVT_STEPS
8185 intermediate steps in promotion sequence. We try
8186 MAX_INTERM_CVT_STEPS to get to NARROW_VECTYPE, and fail if we do not. */
8187 interm_types->create (MAX_INTERM_CVT_STEPS);
8188 for (i = 0; i < MAX_INTERM_CVT_STEPS; i++)
8190 intermediate_mode = insn_data[icode1].operand[0].mode;
8191 intermediate_type
8192 = lang_hooks.types.type_for_mode (intermediate_mode, uns);
8193 interm_optab
8194 = optab_for_tree_code (VEC_PACK_TRUNC_EXPR, intermediate_type,
8195 optab_default);
8196 if (!interm_optab
8197 || ((icode1 = optab_handler (optab1, prev_mode)) == CODE_FOR_nothing)
8198 || insn_data[icode1].operand[0].mode != intermediate_mode
8199 || ((icode1 = optab_handler (interm_optab, intermediate_mode))
8200 == CODE_FOR_nothing))
8201 break;
8203 interm_types->quick_push (intermediate_type);
8204 (*multi_step_cvt)++;
8206 if (insn_data[icode1].operand[0].mode == TYPE_MODE (narrow_vectype))
8207 return true;
8209 prev_mode = intermediate_mode;
8210 optab1 = interm_optab;
8213 interm_types->release ();
8214 return false;