1 /* Statement Analysis and Transformation for Vectorization
2 Copyright (C) 2003-2014 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
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
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/>. */
24 #include "coretypes.h"
28 #include "stor-layout.h"
35 #include "hard-reg-set.h"
38 #include "dominance.h"
40 #include "basic-block.h"
41 #include "gimple-pretty-print.h"
42 #include "tree-ssa-alias.h"
43 #include "internal-fn.h"
45 #include "gimple-expr.h"
49 #include "gimple-iterator.h"
50 #include "gimplify-me.h"
51 #include "gimple-ssa.h"
53 #include "tree-phinodes.h"
54 #include "ssa-iterators.h"
55 #include "stringpool.h"
56 #include "tree-ssanames.h"
57 #include "tree-ssa-loop-manip.h"
59 #include "tree-ssa-loop.h"
60 #include "tree-scalar-evolution.h"
62 #include "recog.h" /* FIXME: for insn_data */
63 #include "insn-codes.h"
65 #include "diagnostic-core.h"
66 #include "tree-vectorizer.h"
69 #include "plugin-api.h"
74 /* For lang_hooks.types.type_for_mode. */
75 #include "langhooks.h"
77 /* Return the vectorized type for the given statement. */
80 stmt_vectype (struct _stmt_vec_info
*stmt_info
)
82 return STMT_VINFO_VECTYPE (stmt_info
);
85 /* Return TRUE iff the given statement is in an inner loop relative to
86 the loop being vectorized. */
88 stmt_in_inner_loop_p (struct _stmt_vec_info
*stmt_info
)
90 gimple stmt
= STMT_VINFO_STMT (stmt_info
);
91 basic_block bb
= gimple_bb (stmt
);
92 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
98 loop
= LOOP_VINFO_LOOP (loop_vinfo
);
100 return (bb
->loop_father
== loop
->inner
);
103 /* Record the cost of a statement, either by directly informing the
104 target model or by saving it in a vector for later processing.
105 Return a preliminary estimate of the statement's cost. */
108 record_stmt_cost (stmt_vector_for_cost
*body_cost_vec
, int count
,
109 enum vect_cost_for_stmt kind
, stmt_vec_info stmt_info
,
110 int misalign
, enum vect_cost_model_location where
)
114 tree vectype
= stmt_info
? stmt_vectype (stmt_info
) : NULL_TREE
;
115 add_stmt_info_to_vec (body_cost_vec
, count
, kind
,
116 stmt_info
? STMT_VINFO_STMT (stmt_info
) : NULL
,
119 (builtin_vectorization_cost (kind
, vectype
, misalign
) * count
);
124 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
125 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
126 void *target_cost_data
;
129 target_cost_data
= LOOP_VINFO_TARGET_COST_DATA (loop_vinfo
);
131 target_cost_data
= BB_VINFO_TARGET_COST_DATA (bb_vinfo
);
133 return add_stmt_cost (target_cost_data
, count
, kind
, stmt_info
,
138 /* Return a variable of type ELEM_TYPE[NELEMS]. */
141 create_vector_array (tree elem_type
, unsigned HOST_WIDE_INT nelems
)
143 return create_tmp_var (build_array_type_nelts (elem_type
, nelems
),
147 /* ARRAY is an array of vectors created by create_vector_array.
148 Return an SSA_NAME for the vector in index N. The reference
149 is part of the vectorization of STMT and the vector is associated
150 with scalar destination SCALAR_DEST. */
153 read_vector_array (gimple stmt
, gimple_stmt_iterator
*gsi
, tree scalar_dest
,
154 tree array
, unsigned HOST_WIDE_INT n
)
156 tree vect_type
, vect
, vect_name
, array_ref
;
159 gcc_assert (TREE_CODE (TREE_TYPE (array
)) == ARRAY_TYPE
);
160 vect_type
= TREE_TYPE (TREE_TYPE (array
));
161 vect
= vect_create_destination_var (scalar_dest
, vect_type
);
162 array_ref
= build4 (ARRAY_REF
, vect_type
, array
,
163 build_int_cst (size_type_node
, n
),
164 NULL_TREE
, NULL_TREE
);
166 new_stmt
= gimple_build_assign (vect
, array_ref
);
167 vect_name
= make_ssa_name (vect
, new_stmt
);
168 gimple_assign_set_lhs (new_stmt
, vect_name
);
169 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
174 /* ARRAY is an array of vectors created by create_vector_array.
175 Emit code to store SSA_NAME VECT in index N of the array.
176 The store is part of the vectorization of STMT. */
179 write_vector_array (gimple stmt
, gimple_stmt_iterator
*gsi
, tree vect
,
180 tree array
, unsigned HOST_WIDE_INT n
)
185 array_ref
= build4 (ARRAY_REF
, TREE_TYPE (vect
), array
,
186 build_int_cst (size_type_node
, n
),
187 NULL_TREE
, NULL_TREE
);
189 new_stmt
= gimple_build_assign (array_ref
, vect
);
190 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
193 /* PTR is a pointer to an array of type TYPE. Return a representation
194 of *PTR. The memory reference replaces those in FIRST_DR
198 create_array_ref (tree type
, tree ptr
, struct data_reference
*first_dr
)
200 tree mem_ref
, alias_ptr_type
;
202 alias_ptr_type
= reference_alias_ptr_type (DR_REF (first_dr
));
203 mem_ref
= build2 (MEM_REF
, type
, ptr
, build_int_cst (alias_ptr_type
, 0));
204 /* Arrays have the same alignment as their type. */
205 set_ptr_info_alignment (get_ptr_info (ptr
), TYPE_ALIGN_UNIT (type
), 0);
209 /* Utility functions used by vect_mark_stmts_to_be_vectorized. */
211 /* Function vect_mark_relevant.
213 Mark STMT as "relevant for vectorization" and add it to WORKLIST. */
216 vect_mark_relevant (vec
<gimple
> *worklist
, gimple stmt
,
217 enum vect_relevant relevant
, bool live_p
,
218 bool used_in_pattern
)
220 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
221 enum vect_relevant save_relevant
= STMT_VINFO_RELEVANT (stmt_info
);
222 bool save_live_p
= STMT_VINFO_LIVE_P (stmt_info
);
225 if (dump_enabled_p ())
226 dump_printf_loc (MSG_NOTE
, vect_location
,
227 "mark relevant %d, live %d.\n", relevant
, live_p
);
229 /* If this stmt is an original stmt in a pattern, we might need to mark its
230 related pattern stmt instead of the original stmt. However, such stmts
231 may have their own uses that are not in any pattern, in such cases the
232 stmt itself should be marked. */
233 if (STMT_VINFO_IN_PATTERN_P (stmt_info
))
236 if (!used_in_pattern
)
238 imm_use_iterator imm_iter
;
242 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
243 struct loop
*loop
= LOOP_VINFO_LOOP (loop_vinfo
);
245 if (is_gimple_assign (stmt
))
246 lhs
= gimple_assign_lhs (stmt
);
248 lhs
= gimple_call_lhs (stmt
);
250 /* This use is out of pattern use, if LHS has other uses that are
251 pattern uses, we should mark the stmt itself, and not the pattern
253 if (lhs
&& TREE_CODE (lhs
) == SSA_NAME
)
254 FOR_EACH_IMM_USE_FAST (use_p
, imm_iter
, lhs
)
256 if (is_gimple_debug (USE_STMT (use_p
)))
258 use_stmt
= USE_STMT (use_p
);
260 if (!flow_bb_inside_loop_p (loop
, gimple_bb (use_stmt
)))
263 if (vinfo_for_stmt (use_stmt
)
264 && STMT_VINFO_IN_PATTERN_P (vinfo_for_stmt (use_stmt
)))
274 /* This is the last stmt in a sequence that was detected as a
275 pattern that can potentially be vectorized. Don't mark the stmt
276 as relevant/live because it's not going to be vectorized.
277 Instead mark the pattern-stmt that replaces it. */
279 pattern_stmt
= STMT_VINFO_RELATED_STMT (stmt_info
);
281 if (dump_enabled_p ())
282 dump_printf_loc (MSG_NOTE
, vect_location
,
283 "last stmt in pattern. don't mark"
284 " relevant/live.\n");
285 stmt_info
= vinfo_for_stmt (pattern_stmt
);
286 gcc_assert (STMT_VINFO_RELATED_STMT (stmt_info
) == stmt
);
287 save_relevant
= STMT_VINFO_RELEVANT (stmt_info
);
288 save_live_p
= STMT_VINFO_LIVE_P (stmt_info
);
293 STMT_VINFO_LIVE_P (stmt_info
) |= live_p
;
294 if (relevant
> STMT_VINFO_RELEVANT (stmt_info
))
295 STMT_VINFO_RELEVANT (stmt_info
) = relevant
;
297 if (STMT_VINFO_RELEVANT (stmt_info
) == save_relevant
298 && STMT_VINFO_LIVE_P (stmt_info
) == save_live_p
)
300 if (dump_enabled_p ())
301 dump_printf_loc (MSG_NOTE
, vect_location
,
302 "already marked relevant/live.\n");
306 worklist
->safe_push (stmt
);
310 /* Function vect_stmt_relevant_p.
312 Return true if STMT in loop that is represented by LOOP_VINFO is
313 "relevant for vectorization".
315 A stmt is considered "relevant for vectorization" if:
316 - it has uses outside the loop.
317 - it has vdefs (it alters memory).
318 - control stmts in the loop (except for the exit condition).
320 CHECKME: what other side effects would the vectorizer allow? */
323 vect_stmt_relevant_p (gimple stmt
, loop_vec_info loop_vinfo
,
324 enum vect_relevant
*relevant
, bool *live_p
)
326 struct loop
*loop
= LOOP_VINFO_LOOP (loop_vinfo
);
328 imm_use_iterator imm_iter
;
332 *relevant
= vect_unused_in_scope
;
335 /* cond stmt other than loop exit cond. */
336 if (is_ctrl_stmt (stmt
)
337 && STMT_VINFO_TYPE (vinfo_for_stmt (stmt
))
338 != loop_exit_ctrl_vec_info_type
)
339 *relevant
= vect_used_in_scope
;
341 /* changing memory. */
342 if (gimple_code (stmt
) != GIMPLE_PHI
)
343 if (gimple_vdef (stmt
)
344 && !gimple_clobber_p (stmt
))
346 if (dump_enabled_p ())
347 dump_printf_loc (MSG_NOTE
, vect_location
,
348 "vec_stmt_relevant_p: stmt has vdefs.\n");
349 *relevant
= vect_used_in_scope
;
352 /* uses outside the loop. */
353 FOR_EACH_PHI_OR_STMT_DEF (def_p
, stmt
, op_iter
, SSA_OP_DEF
)
355 FOR_EACH_IMM_USE_FAST (use_p
, imm_iter
, DEF_FROM_PTR (def_p
))
357 basic_block bb
= gimple_bb (USE_STMT (use_p
));
358 if (!flow_bb_inside_loop_p (loop
, bb
))
360 if (dump_enabled_p ())
361 dump_printf_loc (MSG_NOTE
, vect_location
,
362 "vec_stmt_relevant_p: used out of loop.\n");
364 if (is_gimple_debug (USE_STMT (use_p
)))
367 /* We expect all such uses to be in the loop exit phis
368 (because of loop closed form) */
369 gcc_assert (gimple_code (USE_STMT (use_p
)) == GIMPLE_PHI
);
370 gcc_assert (bb
== single_exit (loop
)->dest
);
377 return (*live_p
|| *relevant
);
381 /* Function exist_non_indexing_operands_for_use_p
383 USE is one of the uses attached to STMT. Check if USE is
384 used in STMT for anything other than indexing an array. */
387 exist_non_indexing_operands_for_use_p (tree use
, gimple stmt
)
390 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
392 /* USE corresponds to some operand in STMT. If there is no data
393 reference in STMT, then any operand that corresponds to USE
394 is not indexing an array. */
395 if (!STMT_VINFO_DATA_REF (stmt_info
))
398 /* STMT has a data_ref. FORNOW this means that its of one of
402 (This should have been verified in analyze_data_refs).
404 'var' in the second case corresponds to a def, not a use,
405 so USE cannot correspond to any operands that are not used
408 Therefore, all we need to check is if STMT falls into the
409 first case, and whether var corresponds to USE. */
411 if (!gimple_assign_copy_p (stmt
))
413 if (is_gimple_call (stmt
)
414 && gimple_call_internal_p (stmt
))
415 switch (gimple_call_internal_fn (stmt
))
418 operand
= gimple_call_arg (stmt
, 3);
423 operand
= gimple_call_arg (stmt
, 2);
433 if (TREE_CODE (gimple_assign_lhs (stmt
)) == SSA_NAME
)
435 operand
= gimple_assign_rhs1 (stmt
);
436 if (TREE_CODE (operand
) != SSA_NAME
)
447 Function process_use.
450 - a USE in STMT in a loop represented by LOOP_VINFO
451 - LIVE_P, RELEVANT - enum values to be set in the STMT_VINFO of the stmt
452 that defined USE. This is done by calling mark_relevant and passing it
453 the WORKLIST (to add DEF_STMT to the WORKLIST in case it is relevant).
454 - FORCE is true if exist_non_indexing_operands_for_use_p check shouldn't
458 Generally, LIVE_P and RELEVANT are used to define the liveness and
459 relevance info of the DEF_STMT of this USE:
460 STMT_VINFO_LIVE_P (DEF_STMT_info) <-- live_p
461 STMT_VINFO_RELEVANT (DEF_STMT_info) <-- relevant
463 - case 1: If USE is used only for address computations (e.g. array indexing),
464 which does not need to be directly vectorized, then the liveness/relevance
465 of the respective DEF_STMT is left unchanged.
466 - case 2: If STMT is a reduction phi and DEF_STMT is a reduction stmt, we
467 skip DEF_STMT cause it had already been processed.
468 - case 3: If DEF_STMT and STMT are in different nests, then "relevant" will
469 be modified accordingly.
471 Return true if everything is as expected. Return false otherwise. */
474 process_use (gimple stmt
, tree use
, loop_vec_info loop_vinfo
, bool live_p
,
475 enum vect_relevant relevant
, vec
<gimple
> *worklist
,
478 struct loop
*loop
= LOOP_VINFO_LOOP (loop_vinfo
);
479 stmt_vec_info stmt_vinfo
= vinfo_for_stmt (stmt
);
480 stmt_vec_info dstmt_vinfo
;
481 basic_block bb
, def_bb
;
484 enum vect_def_type dt
;
486 /* case 1: we are only interested in uses that need to be vectorized. Uses
487 that are used for address computation are not considered relevant. */
488 if (!force
&& !exist_non_indexing_operands_for_use_p (use
, stmt
))
491 if (!vect_is_simple_use (use
, stmt
, loop_vinfo
, NULL
, &def_stmt
, &def
, &dt
))
493 if (dump_enabled_p ())
494 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
495 "not vectorized: unsupported use in stmt.\n");
499 if (!def_stmt
|| gimple_nop_p (def_stmt
))
502 def_bb
= gimple_bb (def_stmt
);
503 if (!flow_bb_inside_loop_p (loop
, def_bb
))
505 if (dump_enabled_p ())
506 dump_printf_loc (MSG_NOTE
, vect_location
, "def_stmt is out of loop.\n");
510 /* case 2: A reduction phi (STMT) defined by a reduction stmt (DEF_STMT).
511 DEF_STMT must have already been processed, because this should be the
512 only way that STMT, which is a reduction-phi, was put in the worklist,
513 as there should be no other uses for DEF_STMT in the loop. So we just
514 check that everything is as expected, and we are done. */
515 dstmt_vinfo
= vinfo_for_stmt (def_stmt
);
516 bb
= gimple_bb (stmt
);
517 if (gimple_code (stmt
) == GIMPLE_PHI
518 && STMT_VINFO_DEF_TYPE (stmt_vinfo
) == vect_reduction_def
519 && gimple_code (def_stmt
) != GIMPLE_PHI
520 && STMT_VINFO_DEF_TYPE (dstmt_vinfo
) == vect_reduction_def
521 && bb
->loop_father
== def_bb
->loop_father
)
523 if (dump_enabled_p ())
524 dump_printf_loc (MSG_NOTE
, vect_location
,
525 "reduc-stmt defining reduc-phi in the same nest.\n");
526 if (STMT_VINFO_IN_PATTERN_P (dstmt_vinfo
))
527 dstmt_vinfo
= vinfo_for_stmt (STMT_VINFO_RELATED_STMT (dstmt_vinfo
));
528 gcc_assert (STMT_VINFO_RELEVANT (dstmt_vinfo
) < vect_used_by_reduction
);
529 gcc_assert (STMT_VINFO_LIVE_P (dstmt_vinfo
)
530 || STMT_VINFO_RELEVANT (dstmt_vinfo
) > vect_unused_in_scope
);
534 /* case 3a: outer-loop stmt defining an inner-loop stmt:
535 outer-loop-header-bb:
541 if (flow_loop_nested_p (def_bb
->loop_father
, bb
->loop_father
))
543 if (dump_enabled_p ())
544 dump_printf_loc (MSG_NOTE
, vect_location
,
545 "outer-loop def-stmt defining inner-loop stmt.\n");
549 case vect_unused_in_scope
:
550 relevant
= (STMT_VINFO_DEF_TYPE (stmt_vinfo
) == vect_nested_cycle
) ?
551 vect_used_in_scope
: vect_unused_in_scope
;
554 case vect_used_in_outer_by_reduction
:
555 gcc_assert (STMT_VINFO_DEF_TYPE (stmt_vinfo
) != vect_reduction_def
);
556 relevant
= vect_used_by_reduction
;
559 case vect_used_in_outer
:
560 gcc_assert (STMT_VINFO_DEF_TYPE (stmt_vinfo
) != vect_reduction_def
);
561 relevant
= vect_used_in_scope
;
564 case vect_used_in_scope
:
572 /* case 3b: inner-loop stmt defining an outer-loop stmt:
573 outer-loop-header-bb:
577 outer-loop-tail-bb (or outer-loop-exit-bb in double reduction):
579 else if (flow_loop_nested_p (bb
->loop_father
, def_bb
->loop_father
))
581 if (dump_enabled_p ())
582 dump_printf_loc (MSG_NOTE
, vect_location
,
583 "inner-loop def-stmt defining outer-loop stmt.\n");
587 case vect_unused_in_scope
:
588 relevant
= (STMT_VINFO_DEF_TYPE (stmt_vinfo
) == vect_reduction_def
589 || STMT_VINFO_DEF_TYPE (stmt_vinfo
) == vect_double_reduction_def
) ?
590 vect_used_in_outer_by_reduction
: vect_unused_in_scope
;
593 case vect_used_by_reduction
:
594 relevant
= vect_used_in_outer_by_reduction
;
597 case vect_used_in_scope
:
598 relevant
= vect_used_in_outer
;
606 vect_mark_relevant (worklist
, def_stmt
, relevant
, live_p
,
607 is_pattern_stmt_p (stmt_vinfo
));
612 /* Function vect_mark_stmts_to_be_vectorized.
614 Not all stmts in the loop need to be vectorized. For example:
623 Stmt 1 and 3 do not need to be vectorized, because loop control and
624 addressing of vectorized data-refs are handled differently.
626 This pass detects such stmts. */
629 vect_mark_stmts_to_be_vectorized (loop_vec_info loop_vinfo
)
631 struct loop
*loop
= LOOP_VINFO_LOOP (loop_vinfo
);
632 basic_block
*bbs
= LOOP_VINFO_BBS (loop_vinfo
);
633 unsigned int nbbs
= loop
->num_nodes
;
634 gimple_stmt_iterator si
;
637 stmt_vec_info stmt_vinfo
;
641 enum vect_relevant relevant
, tmp_relevant
;
642 enum vect_def_type def_type
;
644 if (dump_enabled_p ())
645 dump_printf_loc (MSG_NOTE
, vect_location
,
646 "=== vect_mark_stmts_to_be_vectorized ===\n");
648 auto_vec
<gimple
, 64> worklist
;
650 /* 1. Init worklist. */
651 for (i
= 0; i
< nbbs
; i
++)
654 for (si
= gsi_start_phis (bb
); !gsi_end_p (si
); gsi_next (&si
))
657 if (dump_enabled_p ())
659 dump_printf_loc (MSG_NOTE
, vect_location
, "init: phi relevant? ");
660 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, phi
, 0);
661 dump_printf (MSG_NOTE
, "\n");
664 if (vect_stmt_relevant_p (phi
, loop_vinfo
, &relevant
, &live_p
))
665 vect_mark_relevant (&worklist
, phi
, relevant
, live_p
, false);
667 for (si
= gsi_start_bb (bb
); !gsi_end_p (si
); gsi_next (&si
))
669 stmt
= gsi_stmt (si
);
670 if (dump_enabled_p ())
672 dump_printf_loc (MSG_NOTE
, vect_location
, "init: stmt relevant? ");
673 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, stmt
, 0);
674 dump_printf (MSG_NOTE
, "\n");
677 if (vect_stmt_relevant_p (stmt
, loop_vinfo
, &relevant
, &live_p
))
678 vect_mark_relevant (&worklist
, stmt
, relevant
, live_p
, false);
682 /* 2. Process_worklist */
683 while (worklist
.length () > 0)
688 stmt
= worklist
.pop ();
689 if (dump_enabled_p ())
691 dump_printf_loc (MSG_NOTE
, vect_location
, "worklist: examine stmt: ");
692 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, stmt
, 0);
693 dump_printf (MSG_NOTE
, "\n");
696 /* Examine the USEs of STMT. For each USE, mark the stmt that defines it
697 (DEF_STMT) as relevant/irrelevant and live/dead according to the
698 liveness and relevance properties of STMT. */
699 stmt_vinfo
= vinfo_for_stmt (stmt
);
700 relevant
= STMT_VINFO_RELEVANT (stmt_vinfo
);
701 live_p
= STMT_VINFO_LIVE_P (stmt_vinfo
);
703 /* Generally, the liveness and relevance properties of STMT are
704 propagated as is to the DEF_STMTs of its USEs:
705 live_p <-- STMT_VINFO_LIVE_P (STMT_VINFO)
706 relevant <-- STMT_VINFO_RELEVANT (STMT_VINFO)
708 One exception is when STMT has been identified as defining a reduction
709 variable; in this case we set the liveness/relevance as follows:
711 relevant = vect_used_by_reduction
712 This is because we distinguish between two kinds of relevant stmts -
713 those that are used by a reduction computation, and those that are
714 (also) used by a regular computation. This allows us later on to
715 identify stmts that are used solely by a reduction, and therefore the
716 order of the results that they produce does not have to be kept. */
718 def_type
= STMT_VINFO_DEF_TYPE (stmt_vinfo
);
719 tmp_relevant
= relevant
;
722 case vect_reduction_def
:
723 switch (tmp_relevant
)
725 case vect_unused_in_scope
:
726 relevant
= vect_used_by_reduction
;
729 case vect_used_by_reduction
:
730 if (gimple_code (stmt
) == GIMPLE_PHI
)
735 if (dump_enabled_p ())
736 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
737 "unsupported use of reduction.\n");
744 case vect_nested_cycle
:
745 if (tmp_relevant
!= vect_unused_in_scope
746 && tmp_relevant
!= vect_used_in_outer_by_reduction
747 && tmp_relevant
!= vect_used_in_outer
)
749 if (dump_enabled_p ())
750 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
751 "unsupported use of nested cycle.\n");
759 case vect_double_reduction_def
:
760 if (tmp_relevant
!= vect_unused_in_scope
761 && tmp_relevant
!= vect_used_by_reduction
)
763 if (dump_enabled_p ())
764 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
765 "unsupported use of double reduction.\n");
777 if (is_pattern_stmt_p (stmt_vinfo
))
779 /* Pattern statements are not inserted into the code, so
780 FOR_EACH_PHI_OR_STMT_USE optimizes their operands out, and we
781 have to scan the RHS or function arguments instead. */
782 if (is_gimple_assign (stmt
))
784 enum tree_code rhs_code
= gimple_assign_rhs_code (stmt
);
785 tree op
= gimple_assign_rhs1 (stmt
);
788 if (rhs_code
== COND_EXPR
&& COMPARISON_CLASS_P (op
))
790 if (!process_use (stmt
, TREE_OPERAND (op
, 0), loop_vinfo
,
791 live_p
, relevant
, &worklist
, false)
792 || !process_use (stmt
, TREE_OPERAND (op
, 1), loop_vinfo
,
793 live_p
, relevant
, &worklist
, false))
797 for (; i
< gimple_num_ops (stmt
); i
++)
799 op
= gimple_op (stmt
, i
);
800 if (!process_use (stmt
, op
, loop_vinfo
, live_p
, relevant
,
805 else if (is_gimple_call (stmt
))
807 for (i
= 0; i
< gimple_call_num_args (stmt
); i
++)
809 tree arg
= gimple_call_arg (stmt
, i
);
810 if (!process_use (stmt
, arg
, loop_vinfo
, live_p
, relevant
,
817 FOR_EACH_PHI_OR_STMT_USE (use_p
, stmt
, iter
, SSA_OP_USE
)
819 tree op
= USE_FROM_PTR (use_p
);
820 if (!process_use (stmt
, op
, loop_vinfo
, live_p
, relevant
,
825 if (STMT_VINFO_GATHER_P (stmt_vinfo
))
828 tree decl
= vect_check_gather (stmt
, loop_vinfo
, NULL
, &off
, NULL
);
830 if (!process_use (stmt
, off
, loop_vinfo
, live_p
, relevant
,
834 } /* while worklist */
840 /* Function vect_model_simple_cost.
842 Models cost for simple operations, i.e. those that only emit ncopies of a
843 single op. Right now, this does not account for multiple insns that could
844 be generated for the single vector op. We will handle that shortly. */
847 vect_model_simple_cost (stmt_vec_info stmt_info
, int ncopies
,
848 enum vect_def_type
*dt
,
849 stmt_vector_for_cost
*prologue_cost_vec
,
850 stmt_vector_for_cost
*body_cost_vec
)
853 int inside_cost
= 0, prologue_cost
= 0;
855 /* The SLP costs were already calculated during SLP tree build. */
856 if (PURE_SLP_STMT (stmt_info
))
859 /* FORNOW: Assuming maximum 2 args per stmts. */
860 for (i
= 0; i
< 2; i
++)
861 if (dt
[i
] == vect_constant_def
|| dt
[i
] == vect_external_def
)
862 prologue_cost
+= record_stmt_cost (prologue_cost_vec
, 1, vector_stmt
,
863 stmt_info
, 0, vect_prologue
);
865 /* Pass the inside-of-loop statements to the target-specific cost model. */
866 inside_cost
= record_stmt_cost (body_cost_vec
, ncopies
, vector_stmt
,
867 stmt_info
, 0, vect_body
);
869 if (dump_enabled_p ())
870 dump_printf_loc (MSG_NOTE
, vect_location
,
871 "vect_model_simple_cost: inside_cost = %d, "
872 "prologue_cost = %d .\n", inside_cost
, prologue_cost
);
876 /* Model cost for type demotion and promotion operations. PWR is normally
877 zero for single-step promotions and demotions. It will be one if
878 two-step promotion/demotion is required, and so on. Each additional
879 step doubles the number of instructions required. */
882 vect_model_promotion_demotion_cost (stmt_vec_info stmt_info
,
883 enum vect_def_type
*dt
, int pwr
)
886 int inside_cost
= 0, prologue_cost
= 0;
887 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
888 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
889 void *target_cost_data
;
891 /* The SLP costs were already calculated during SLP tree build. */
892 if (PURE_SLP_STMT (stmt_info
))
896 target_cost_data
= LOOP_VINFO_TARGET_COST_DATA (loop_vinfo
);
898 target_cost_data
= BB_VINFO_TARGET_COST_DATA (bb_vinfo
);
900 for (i
= 0; i
< pwr
+ 1; i
++)
902 tmp
= (STMT_VINFO_TYPE (stmt_info
) == type_promotion_vec_info_type
) ?
904 inside_cost
+= add_stmt_cost (target_cost_data
, vect_pow2 (tmp
),
905 vec_promote_demote
, stmt_info
, 0,
909 /* FORNOW: Assuming maximum 2 args per stmts. */
910 for (i
= 0; i
< 2; i
++)
911 if (dt
[i
] == vect_constant_def
|| dt
[i
] == vect_external_def
)
912 prologue_cost
+= add_stmt_cost (target_cost_data
, 1, vector_stmt
,
913 stmt_info
, 0, vect_prologue
);
915 if (dump_enabled_p ())
916 dump_printf_loc (MSG_NOTE
, vect_location
,
917 "vect_model_promotion_demotion_cost: inside_cost = %d, "
918 "prologue_cost = %d .\n", inside_cost
, prologue_cost
);
921 /* Function vect_cost_group_size
923 For grouped load or store, return the group_size only if it is the first
924 load or store of a group, else return 1. This ensures that group size is
925 only returned once per group. */
928 vect_cost_group_size (stmt_vec_info stmt_info
)
930 gimple first_stmt
= GROUP_FIRST_ELEMENT (stmt_info
);
932 if (first_stmt
== STMT_VINFO_STMT (stmt_info
))
933 return GROUP_SIZE (stmt_info
);
939 /* Function vect_model_store_cost
941 Models cost for stores. In the case of grouped accesses, one access
942 has the overhead of the grouped access attributed to it. */
945 vect_model_store_cost (stmt_vec_info stmt_info
, int ncopies
,
946 bool store_lanes_p
, enum vect_def_type dt
,
948 stmt_vector_for_cost
*prologue_cost_vec
,
949 stmt_vector_for_cost
*body_cost_vec
)
952 unsigned int inside_cost
= 0, prologue_cost
= 0;
953 struct data_reference
*first_dr
;
956 /* The SLP costs were already calculated during SLP tree build. */
957 if (PURE_SLP_STMT (stmt_info
))
960 if (dt
== vect_constant_def
|| dt
== vect_external_def
)
961 prologue_cost
+= record_stmt_cost (prologue_cost_vec
, 1, scalar_to_vec
,
962 stmt_info
, 0, vect_prologue
);
964 /* Grouped access? */
965 if (STMT_VINFO_GROUPED_ACCESS (stmt_info
))
969 first_stmt
= SLP_TREE_SCALAR_STMTS (slp_node
)[0];
974 first_stmt
= GROUP_FIRST_ELEMENT (stmt_info
);
975 group_size
= vect_cost_group_size (stmt_info
);
978 first_dr
= STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt
));
980 /* Not a grouped access. */
984 first_dr
= STMT_VINFO_DATA_REF (stmt_info
);
987 /* We assume that the cost of a single store-lanes instruction is
988 equivalent to the cost of GROUP_SIZE separate stores. If a grouped
989 access is instead being provided by a permute-and-store operation,
990 include the cost of the permutes. */
991 if (!store_lanes_p
&& group_size
> 1)
993 /* Uses a high and low interleave or shuffle operations for each
995 int nstmts
= ncopies
* ceil_log2 (group_size
) * group_size
;
996 inside_cost
= record_stmt_cost (body_cost_vec
, nstmts
, vec_perm
,
997 stmt_info
, 0, vect_body
);
999 if (dump_enabled_p ())
1000 dump_printf_loc (MSG_NOTE
, vect_location
,
1001 "vect_model_store_cost: strided group_size = %d .\n",
1005 /* Costs of the stores. */
1006 vect_get_store_cost (first_dr
, ncopies
, &inside_cost
, body_cost_vec
);
1008 if (dump_enabled_p ())
1009 dump_printf_loc (MSG_NOTE
, vect_location
,
1010 "vect_model_store_cost: inside_cost = %d, "
1011 "prologue_cost = %d .\n", inside_cost
, prologue_cost
);
1015 /* Calculate cost of DR's memory access. */
1017 vect_get_store_cost (struct data_reference
*dr
, int ncopies
,
1018 unsigned int *inside_cost
,
1019 stmt_vector_for_cost
*body_cost_vec
)
1021 int alignment_support_scheme
= vect_supportable_dr_alignment (dr
, false);
1022 gimple stmt
= DR_STMT (dr
);
1023 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
1025 switch (alignment_support_scheme
)
1029 *inside_cost
+= record_stmt_cost (body_cost_vec
, ncopies
,
1030 vector_store
, stmt_info
, 0,
1033 if (dump_enabled_p ())
1034 dump_printf_loc (MSG_NOTE
, vect_location
,
1035 "vect_model_store_cost: aligned.\n");
1039 case dr_unaligned_supported
:
1041 /* Here, we assign an additional cost for the unaligned store. */
1042 *inside_cost
+= record_stmt_cost (body_cost_vec
, ncopies
,
1043 unaligned_store
, stmt_info
,
1044 DR_MISALIGNMENT (dr
), vect_body
);
1045 if (dump_enabled_p ())
1046 dump_printf_loc (MSG_NOTE
, vect_location
,
1047 "vect_model_store_cost: unaligned supported by "
1052 case dr_unaligned_unsupported
:
1054 *inside_cost
= VECT_MAX_COST
;
1056 if (dump_enabled_p ())
1057 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
1058 "vect_model_store_cost: unsupported access.\n");
1068 /* Function vect_model_load_cost
1070 Models cost for loads. In the case of grouped accesses, the last access
1071 has the overhead of the grouped access attributed to it. Since unaligned
1072 accesses are supported for loads, we also account for the costs of the
1073 access scheme chosen. */
1076 vect_model_load_cost (stmt_vec_info stmt_info
, int ncopies
,
1077 bool load_lanes_p
, slp_tree slp_node
,
1078 stmt_vector_for_cost
*prologue_cost_vec
,
1079 stmt_vector_for_cost
*body_cost_vec
)
1083 struct data_reference
*dr
= STMT_VINFO_DATA_REF (stmt_info
), *first_dr
;
1084 unsigned int inside_cost
= 0, prologue_cost
= 0;
1086 /* The SLP costs were already calculated during SLP tree build. */
1087 if (PURE_SLP_STMT (stmt_info
))
1090 /* Grouped accesses? */
1091 first_stmt
= GROUP_FIRST_ELEMENT (stmt_info
);
1092 if (STMT_VINFO_GROUPED_ACCESS (stmt_info
) && first_stmt
&& !slp_node
)
1094 group_size
= vect_cost_group_size (stmt_info
);
1095 first_dr
= STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt
));
1097 /* Not a grouped access. */
1104 /* We assume that the cost of a single load-lanes instruction is
1105 equivalent to the cost of GROUP_SIZE separate loads. If a grouped
1106 access is instead being provided by a load-and-permute operation,
1107 include the cost of the permutes. */
1108 if (!load_lanes_p
&& group_size
> 1)
1110 /* Uses an even and odd extract operations or shuffle operations
1111 for each needed permute. */
1112 int nstmts
= ncopies
* ceil_log2 (group_size
) * group_size
;
1113 inside_cost
= record_stmt_cost (body_cost_vec
, nstmts
, vec_perm
,
1114 stmt_info
, 0, vect_body
);
1116 if (dump_enabled_p ())
1117 dump_printf_loc (MSG_NOTE
, vect_location
,
1118 "vect_model_load_cost: strided group_size = %d .\n",
1122 /* The loads themselves. */
1123 if (STMT_VINFO_STRIDE_LOAD_P (stmt_info
))
1125 /* N scalar loads plus gathering them into a vector. */
1126 tree vectype
= STMT_VINFO_VECTYPE (stmt_info
);
1127 inside_cost
+= record_stmt_cost (body_cost_vec
,
1128 ncopies
* TYPE_VECTOR_SUBPARTS (vectype
),
1129 scalar_load
, stmt_info
, 0, vect_body
);
1130 inside_cost
+= record_stmt_cost (body_cost_vec
, ncopies
, vec_construct
,
1131 stmt_info
, 0, vect_body
);
1134 vect_get_load_cost (first_dr
, ncopies
,
1135 ((!STMT_VINFO_GROUPED_ACCESS (stmt_info
))
1136 || group_size
> 1 || slp_node
),
1137 &inside_cost
, &prologue_cost
,
1138 prologue_cost_vec
, body_cost_vec
, true);
1140 if (dump_enabled_p ())
1141 dump_printf_loc (MSG_NOTE
, vect_location
,
1142 "vect_model_load_cost: inside_cost = %d, "
1143 "prologue_cost = %d .\n", inside_cost
, prologue_cost
);
1147 /* Calculate cost of DR's memory access. */
1149 vect_get_load_cost (struct data_reference
*dr
, int ncopies
,
1150 bool add_realign_cost
, unsigned int *inside_cost
,
1151 unsigned int *prologue_cost
,
1152 stmt_vector_for_cost
*prologue_cost_vec
,
1153 stmt_vector_for_cost
*body_cost_vec
,
1154 bool record_prologue_costs
)
1156 int alignment_support_scheme
= vect_supportable_dr_alignment (dr
, false);
1157 gimple stmt
= DR_STMT (dr
);
1158 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
1160 switch (alignment_support_scheme
)
1164 *inside_cost
+= record_stmt_cost (body_cost_vec
, ncopies
, vector_load
,
1165 stmt_info
, 0, vect_body
);
1167 if (dump_enabled_p ())
1168 dump_printf_loc (MSG_NOTE
, vect_location
,
1169 "vect_model_load_cost: aligned.\n");
1173 case dr_unaligned_supported
:
1175 /* Here, we assign an additional cost for the unaligned load. */
1176 *inside_cost
+= record_stmt_cost (body_cost_vec
, ncopies
,
1177 unaligned_load
, stmt_info
,
1178 DR_MISALIGNMENT (dr
), vect_body
);
1180 if (dump_enabled_p ())
1181 dump_printf_loc (MSG_NOTE
, vect_location
,
1182 "vect_model_load_cost: unaligned supported by "
1187 case dr_explicit_realign
:
1189 *inside_cost
+= record_stmt_cost (body_cost_vec
, ncopies
* 2,
1190 vector_load
, stmt_info
, 0, vect_body
);
1191 *inside_cost
+= record_stmt_cost (body_cost_vec
, ncopies
,
1192 vec_perm
, stmt_info
, 0, vect_body
);
1194 /* FIXME: If the misalignment remains fixed across the iterations of
1195 the containing loop, the following cost should be added to the
1197 if (targetm
.vectorize
.builtin_mask_for_load
)
1198 *inside_cost
+= record_stmt_cost (body_cost_vec
, 1, vector_stmt
,
1199 stmt_info
, 0, vect_body
);
1201 if (dump_enabled_p ())
1202 dump_printf_loc (MSG_NOTE
, vect_location
,
1203 "vect_model_load_cost: explicit realign\n");
1207 case dr_explicit_realign_optimized
:
1209 if (dump_enabled_p ())
1210 dump_printf_loc (MSG_NOTE
, vect_location
,
1211 "vect_model_load_cost: unaligned software "
1214 /* Unaligned software pipeline has a load of an address, an initial
1215 load, and possibly a mask operation to "prime" the loop. However,
1216 if this is an access in a group of loads, which provide grouped
1217 access, then the above cost should only be considered for one
1218 access in the group. Inside the loop, there is a load op
1219 and a realignment op. */
1221 if (add_realign_cost
&& record_prologue_costs
)
1223 *prologue_cost
+= record_stmt_cost (prologue_cost_vec
, 2,
1224 vector_stmt
, stmt_info
,
1226 if (targetm
.vectorize
.builtin_mask_for_load
)
1227 *prologue_cost
+= record_stmt_cost (prologue_cost_vec
, 1,
1228 vector_stmt
, stmt_info
,
1232 *inside_cost
+= record_stmt_cost (body_cost_vec
, ncopies
, vector_load
,
1233 stmt_info
, 0, vect_body
);
1234 *inside_cost
+= record_stmt_cost (body_cost_vec
, ncopies
, vec_perm
,
1235 stmt_info
, 0, vect_body
);
1237 if (dump_enabled_p ())
1238 dump_printf_loc (MSG_NOTE
, vect_location
,
1239 "vect_model_load_cost: explicit realign optimized"
1245 case dr_unaligned_unsupported
:
1247 *inside_cost
= VECT_MAX_COST
;
1249 if (dump_enabled_p ())
1250 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
1251 "vect_model_load_cost: unsupported access.\n");
1260 /* Insert the new stmt NEW_STMT at *GSI or at the appropriate place in
1261 the loop preheader for the vectorized stmt STMT. */
1264 vect_init_vector_1 (gimple stmt
, gimple new_stmt
, gimple_stmt_iterator
*gsi
)
1267 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
1270 stmt_vec_info stmt_vinfo
= vinfo_for_stmt (stmt
);
1271 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_vinfo
);
1275 struct loop
*loop
= LOOP_VINFO_LOOP (loop_vinfo
);
1279 if (nested_in_vect_loop_p (loop
, stmt
))
1282 pe
= loop_preheader_edge (loop
);
1283 new_bb
= gsi_insert_on_edge_immediate (pe
, new_stmt
);
1284 gcc_assert (!new_bb
);
1288 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_vinfo
);
1290 gimple_stmt_iterator gsi_bb_start
;
1292 gcc_assert (bb_vinfo
);
1293 bb
= BB_VINFO_BB (bb_vinfo
);
1294 gsi_bb_start
= gsi_after_labels (bb
);
1295 gsi_insert_before (&gsi_bb_start
, new_stmt
, GSI_SAME_STMT
);
1299 if (dump_enabled_p ())
1301 dump_printf_loc (MSG_NOTE
, vect_location
,
1302 "created new init_stmt: ");
1303 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, new_stmt
, 0);
1304 dump_printf (MSG_NOTE
, "\n");
1308 /* Function vect_init_vector.
1310 Insert a new stmt (INIT_STMT) that initializes a new variable of type
1311 TYPE with the value VAL. If TYPE is a vector type and VAL does not have
1312 vector type a vector with all elements equal to VAL is created first.
1313 Place the initialization at BSI if it is not NULL. Otherwise, place the
1314 initialization at the loop preheader.
1315 Return the DEF of INIT_STMT.
1316 It will be used in the vectorization of STMT. */
1319 vect_init_vector (gimple stmt
, tree val
, tree type
, gimple_stmt_iterator
*gsi
)
1326 if (TREE_CODE (type
) == VECTOR_TYPE
1327 && TREE_CODE (TREE_TYPE (val
)) != VECTOR_TYPE
)
1329 if (!types_compatible_p (TREE_TYPE (type
), TREE_TYPE (val
)))
1331 if (CONSTANT_CLASS_P (val
))
1332 val
= fold_unary (VIEW_CONVERT_EXPR
, TREE_TYPE (type
), val
);
1335 new_temp
= make_ssa_name (TREE_TYPE (type
));
1336 init_stmt
= gimple_build_assign (new_temp
, NOP_EXPR
, val
);
1337 vect_init_vector_1 (stmt
, init_stmt
, gsi
);
1341 val
= build_vector_from_val (type
, val
);
1344 new_var
= vect_get_new_vect_var (type
, vect_simple_var
, "cst_");
1345 init_stmt
= gimple_build_assign (new_var
, val
);
1346 new_temp
= make_ssa_name (new_var
, init_stmt
);
1347 gimple_assign_set_lhs (init_stmt
, new_temp
);
1348 vect_init_vector_1 (stmt
, init_stmt
, gsi
);
1349 vec_oprnd
= gimple_assign_lhs (init_stmt
);
1354 /* Function vect_get_vec_def_for_operand.
1356 OP is an operand in STMT. This function returns a (vector) def that will be
1357 used in the vectorized stmt for STMT.
1359 In the case that OP is an SSA_NAME which is defined in the loop, then
1360 STMT_VINFO_VEC_STMT of the defining stmt holds the relevant def.
1362 In case OP is an invariant or constant, a new stmt that creates a vector def
1363 needs to be introduced. */
1366 vect_get_vec_def_for_operand (tree op
, gimple stmt
, tree
*scalar_def
)
1371 stmt_vec_info def_stmt_info
= NULL
;
1372 stmt_vec_info stmt_vinfo
= vinfo_for_stmt (stmt
);
1373 unsigned int nunits
;
1374 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_vinfo
);
1376 enum vect_def_type dt
;
1380 if (dump_enabled_p ())
1382 dump_printf_loc (MSG_NOTE
, vect_location
,
1383 "vect_get_vec_def_for_operand: ");
1384 dump_generic_expr (MSG_NOTE
, TDF_SLIM
, op
);
1385 dump_printf (MSG_NOTE
, "\n");
1388 is_simple_use
= vect_is_simple_use (op
, stmt
, loop_vinfo
, NULL
,
1389 &def_stmt
, &def
, &dt
);
1390 gcc_assert (is_simple_use
);
1391 if (dump_enabled_p ())
1393 int loc_printed
= 0;
1396 dump_printf_loc (MSG_NOTE
, vect_location
, "def = ");
1398 dump_generic_expr (MSG_NOTE
, TDF_SLIM
, def
);
1399 dump_printf (MSG_NOTE
, "\n");
1404 dump_printf (MSG_NOTE
, " def_stmt = ");
1406 dump_printf_loc (MSG_NOTE
, vect_location
, " def_stmt = ");
1407 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, def_stmt
, 0);
1408 dump_printf (MSG_NOTE
, "\n");
1414 /* Case 1: operand is a constant. */
1415 case vect_constant_def
:
1417 vector_type
= get_vectype_for_scalar_type (TREE_TYPE (op
));
1418 gcc_assert (vector_type
);
1419 nunits
= TYPE_VECTOR_SUBPARTS (vector_type
);
1424 /* Create 'vect_cst_ = {cst,cst,...,cst}' */
1425 if (dump_enabled_p ())
1426 dump_printf_loc (MSG_NOTE
, vect_location
,
1427 "Create vector_cst. nunits = %d\n", nunits
);
1429 return vect_init_vector (stmt
, op
, vector_type
, NULL
);
1432 /* Case 2: operand is defined outside the loop - loop invariant. */
1433 case vect_external_def
:
1435 vector_type
= get_vectype_for_scalar_type (TREE_TYPE (def
));
1436 gcc_assert (vector_type
);
1441 /* Create 'vec_inv = {inv,inv,..,inv}' */
1442 if (dump_enabled_p ())
1443 dump_printf_loc (MSG_NOTE
, vect_location
, "Create vector_inv.\n");
1445 return vect_init_vector (stmt
, def
, vector_type
, NULL
);
1448 /* Case 3: operand is defined inside the loop. */
1449 case vect_internal_def
:
1452 *scalar_def
= NULL
/* FIXME tuples: def_stmt*/;
1454 /* Get the def from the vectorized stmt. */
1455 def_stmt_info
= vinfo_for_stmt (def_stmt
);
1457 vec_stmt
= STMT_VINFO_VEC_STMT (def_stmt_info
);
1458 /* Get vectorized pattern statement. */
1460 && STMT_VINFO_IN_PATTERN_P (def_stmt_info
)
1461 && !STMT_VINFO_RELEVANT (def_stmt_info
))
1462 vec_stmt
= STMT_VINFO_VEC_STMT (vinfo_for_stmt (
1463 STMT_VINFO_RELATED_STMT (def_stmt_info
)));
1464 gcc_assert (vec_stmt
);
1465 if (gimple_code (vec_stmt
) == GIMPLE_PHI
)
1466 vec_oprnd
= PHI_RESULT (vec_stmt
);
1467 else if (is_gimple_call (vec_stmt
))
1468 vec_oprnd
= gimple_call_lhs (vec_stmt
);
1470 vec_oprnd
= gimple_assign_lhs (vec_stmt
);
1474 /* Case 4: operand is defined by a loop header phi - reduction */
1475 case vect_reduction_def
:
1476 case vect_double_reduction_def
:
1477 case vect_nested_cycle
:
1481 gcc_assert (gimple_code (def_stmt
) == GIMPLE_PHI
);
1482 loop
= (gimple_bb (def_stmt
))->loop_father
;
1484 /* Get the def before the loop */
1485 op
= PHI_ARG_DEF_FROM_EDGE (def_stmt
, loop_preheader_edge (loop
));
1486 return get_initial_def_for_reduction (stmt
, op
, scalar_def
);
1489 /* Case 5: operand is defined by loop-header phi - induction. */
1490 case vect_induction_def
:
1492 gcc_assert (gimple_code (def_stmt
) == GIMPLE_PHI
);
1494 /* Get the def from the vectorized stmt. */
1495 def_stmt_info
= vinfo_for_stmt (def_stmt
);
1496 vec_stmt
= STMT_VINFO_VEC_STMT (def_stmt_info
);
1497 if (gimple_code (vec_stmt
) == GIMPLE_PHI
)
1498 vec_oprnd
= PHI_RESULT (vec_stmt
);
1500 vec_oprnd
= gimple_get_lhs (vec_stmt
);
1510 /* Function vect_get_vec_def_for_stmt_copy
1512 Return a vector-def for an operand. This function is used when the
1513 vectorized stmt to be created (by the caller to this function) is a "copy"
1514 created in case the vectorized result cannot fit in one vector, and several
1515 copies of the vector-stmt are required. In this case the vector-def is
1516 retrieved from the vector stmt recorded in the STMT_VINFO_RELATED_STMT field
1517 of the stmt that defines VEC_OPRND.
1518 DT is the type of the vector def VEC_OPRND.
1521 In case the vectorization factor (VF) is bigger than the number
1522 of elements that can fit in a vectype (nunits), we have to generate
1523 more than one vector stmt to vectorize the scalar stmt. This situation
1524 arises when there are multiple data-types operated upon in the loop; the
1525 smallest data-type determines the VF, and as a result, when vectorizing
1526 stmts operating on wider types we need to create 'VF/nunits' "copies" of the
1527 vector stmt (each computing a vector of 'nunits' results, and together
1528 computing 'VF' results in each iteration). This function is called when
1529 vectorizing such a stmt (e.g. vectorizing S2 in the illustration below, in
1530 which VF=16 and nunits=4, so the number of copies required is 4):
1532 scalar stmt: vectorized into: STMT_VINFO_RELATED_STMT
1534 S1: x = load VS1.0: vx.0 = memref0 VS1.1
1535 VS1.1: vx.1 = memref1 VS1.2
1536 VS1.2: vx.2 = memref2 VS1.3
1537 VS1.3: vx.3 = memref3
1539 S2: z = x + ... VSnew.0: vz0 = vx.0 + ... VSnew.1
1540 VSnew.1: vz1 = vx.1 + ... VSnew.2
1541 VSnew.2: vz2 = vx.2 + ... VSnew.3
1542 VSnew.3: vz3 = vx.3 + ...
1544 The vectorization of S1 is explained in vectorizable_load.
1545 The vectorization of S2:
1546 To create the first vector-stmt out of the 4 copies - VSnew.0 -
1547 the function 'vect_get_vec_def_for_operand' is called to
1548 get the relevant vector-def for each operand of S2. For operand x it
1549 returns the vector-def 'vx.0'.
1551 To create the remaining copies of the vector-stmt (VSnew.j), this
1552 function is called to get the relevant vector-def for each operand. It is
1553 obtained from the respective VS1.j stmt, which is recorded in the
1554 STMT_VINFO_RELATED_STMT field of the stmt that defines VEC_OPRND.
1556 For example, to obtain the vector-def 'vx.1' in order to create the
1557 vector stmt 'VSnew.1', this function is called with VEC_OPRND='vx.0'.
1558 Given 'vx0' we obtain the stmt that defines it ('VS1.0'); from the
1559 STMT_VINFO_RELATED_STMT field of 'VS1.0' we obtain the next copy - 'VS1.1',
1560 and return its def ('vx.1').
1561 Overall, to create the above sequence this function will be called 3 times:
1562 vx.1 = vect_get_vec_def_for_stmt_copy (dt, vx.0);
1563 vx.2 = vect_get_vec_def_for_stmt_copy (dt, vx.1);
1564 vx.3 = vect_get_vec_def_for_stmt_copy (dt, vx.2); */
1567 vect_get_vec_def_for_stmt_copy (enum vect_def_type dt
, tree vec_oprnd
)
1569 gimple vec_stmt_for_operand
;
1570 stmt_vec_info def_stmt_info
;
1572 /* Do nothing; can reuse same def. */
1573 if (dt
== vect_external_def
|| dt
== vect_constant_def
)
1576 vec_stmt_for_operand
= SSA_NAME_DEF_STMT (vec_oprnd
);
1577 def_stmt_info
= vinfo_for_stmt (vec_stmt_for_operand
);
1578 gcc_assert (def_stmt_info
);
1579 vec_stmt_for_operand
= STMT_VINFO_RELATED_STMT (def_stmt_info
);
1580 gcc_assert (vec_stmt_for_operand
);
1581 vec_oprnd
= gimple_get_lhs (vec_stmt_for_operand
);
1582 if (gimple_code (vec_stmt_for_operand
) == GIMPLE_PHI
)
1583 vec_oprnd
= PHI_RESULT (vec_stmt_for_operand
);
1585 vec_oprnd
= gimple_get_lhs (vec_stmt_for_operand
);
1590 /* Get vectorized definitions for the operands to create a copy of an original
1591 stmt. See vect_get_vec_def_for_stmt_copy () for details. */
1594 vect_get_vec_defs_for_stmt_copy (enum vect_def_type
*dt
,
1595 vec
<tree
> *vec_oprnds0
,
1596 vec
<tree
> *vec_oprnds1
)
1598 tree vec_oprnd
= vec_oprnds0
->pop ();
1600 vec_oprnd
= vect_get_vec_def_for_stmt_copy (dt
[0], vec_oprnd
);
1601 vec_oprnds0
->quick_push (vec_oprnd
);
1603 if (vec_oprnds1
&& vec_oprnds1
->length ())
1605 vec_oprnd
= vec_oprnds1
->pop ();
1606 vec_oprnd
= vect_get_vec_def_for_stmt_copy (dt
[1], vec_oprnd
);
1607 vec_oprnds1
->quick_push (vec_oprnd
);
1612 /* Get vectorized definitions for OP0 and OP1.
1613 REDUC_INDEX is the index of reduction operand in case of reduction,
1614 and -1 otherwise. */
1617 vect_get_vec_defs (tree op0
, tree op1
, gimple stmt
,
1618 vec
<tree
> *vec_oprnds0
,
1619 vec
<tree
> *vec_oprnds1
,
1620 slp_tree slp_node
, int reduc_index
)
1624 int nops
= (op1
== NULL_TREE
) ? 1 : 2;
1625 auto_vec
<tree
> ops (nops
);
1626 auto_vec
<vec
<tree
> > vec_defs (nops
);
1628 ops
.quick_push (op0
);
1630 ops
.quick_push (op1
);
1632 vect_get_slp_defs (ops
, slp_node
, &vec_defs
, reduc_index
);
1634 *vec_oprnds0
= vec_defs
[0];
1636 *vec_oprnds1
= vec_defs
[1];
1642 vec_oprnds0
->create (1);
1643 vec_oprnd
= vect_get_vec_def_for_operand (op0
, stmt
, NULL
);
1644 vec_oprnds0
->quick_push (vec_oprnd
);
1648 vec_oprnds1
->create (1);
1649 vec_oprnd
= vect_get_vec_def_for_operand (op1
, stmt
, NULL
);
1650 vec_oprnds1
->quick_push (vec_oprnd
);
1656 /* Function vect_finish_stmt_generation.
1658 Insert a new stmt. */
1661 vect_finish_stmt_generation (gimple stmt
, gimple vec_stmt
,
1662 gimple_stmt_iterator
*gsi
)
1664 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
1665 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
1666 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
1668 gcc_assert (gimple_code (stmt
) != GIMPLE_LABEL
);
1670 if (!gsi_end_p (*gsi
)
1671 && gimple_has_mem_ops (vec_stmt
))
1673 gimple at_stmt
= gsi_stmt (*gsi
);
1674 tree vuse
= gimple_vuse (at_stmt
);
1675 if (vuse
&& TREE_CODE (vuse
) == SSA_NAME
)
1677 tree vdef
= gimple_vdef (at_stmt
);
1678 gimple_set_vuse (vec_stmt
, gimple_vuse (at_stmt
));
1679 /* If we have an SSA vuse and insert a store, update virtual
1680 SSA form to avoid triggering the renamer. Do so only
1681 if we can easily see all uses - which is what almost always
1682 happens with the way vectorized stmts are inserted. */
1683 if ((vdef
&& TREE_CODE (vdef
) == SSA_NAME
)
1684 && ((is_gimple_assign (vec_stmt
)
1685 && !is_gimple_reg (gimple_assign_lhs (vec_stmt
)))
1686 || (is_gimple_call (vec_stmt
)
1687 && !(gimple_call_flags (vec_stmt
)
1688 & (ECF_CONST
|ECF_PURE
|ECF_NOVOPS
)))))
1690 tree new_vdef
= copy_ssa_name (vuse
, vec_stmt
);
1691 gimple_set_vdef (vec_stmt
, new_vdef
);
1692 SET_USE (gimple_vuse_op (at_stmt
), new_vdef
);
1696 gsi_insert_before (gsi
, vec_stmt
, GSI_SAME_STMT
);
1698 set_vinfo_for_stmt (vec_stmt
, new_stmt_vec_info (vec_stmt
, loop_vinfo
,
1701 if (dump_enabled_p ())
1703 dump_printf_loc (MSG_NOTE
, vect_location
, "add new stmt: ");
1704 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, vec_stmt
, 0);
1705 dump_printf (MSG_NOTE
, "\n");
1708 gimple_set_location (vec_stmt
, gimple_location (stmt
));
1710 /* While EH edges will generally prevent vectorization, stmt might
1711 e.g. be in a must-not-throw region. Ensure newly created stmts
1712 that could throw are part of the same region. */
1713 int lp_nr
= lookup_stmt_eh_lp (stmt
);
1714 if (lp_nr
!= 0 && stmt_could_throw_p (vec_stmt
))
1715 add_stmt_to_eh_lp (vec_stmt
, lp_nr
);
1718 /* Checks if CALL can be vectorized in type VECTYPE. Returns
1719 a function declaration if the target has a vectorized version
1720 of the function, or NULL_TREE if the function cannot be vectorized. */
1723 vectorizable_function (gcall
*call
, tree vectype_out
, tree vectype_in
)
1725 tree fndecl
= gimple_call_fndecl (call
);
1727 /* We only handle functions that do not read or clobber memory -- i.e.
1728 const or novops ones. */
1729 if (!(gimple_call_flags (call
) & (ECF_CONST
| ECF_NOVOPS
)))
1733 || TREE_CODE (fndecl
) != FUNCTION_DECL
1734 || !DECL_BUILT_IN (fndecl
))
1737 return targetm
.vectorize
.builtin_vectorized_function (fndecl
, vectype_out
,
1742 static tree
permute_vec_elements (tree
, tree
, tree
, gimple
,
1743 gimple_stmt_iterator
*);
1746 /* Function vectorizable_mask_load_store.
1748 Check if STMT performs a conditional load or store that can be vectorized.
1749 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
1750 stmt to replace it, put it in VEC_STMT, and insert it at GSI.
1751 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
1754 vectorizable_mask_load_store (gimple stmt
, gimple_stmt_iterator
*gsi
,
1755 gimple
*vec_stmt
, slp_tree slp_node
)
1757 tree vec_dest
= NULL
;
1758 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
1759 stmt_vec_info prev_stmt_info
;
1760 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
1761 struct loop
*loop
= LOOP_VINFO_LOOP (loop_vinfo
);
1762 bool nested_in_vect_loop
= nested_in_vect_loop_p (loop
, stmt
);
1763 struct data_reference
*dr
= STMT_VINFO_DATA_REF (stmt_info
);
1764 tree vectype
= STMT_VINFO_VECTYPE (stmt_info
);
1768 tree dataref_ptr
= NULL_TREE
;
1770 int nunits
= TYPE_VECTOR_SUBPARTS (vectype
);
1774 tree gather_base
= NULL_TREE
, gather_off
= NULL_TREE
;
1775 tree gather_off_vectype
= NULL_TREE
, gather_decl
= NULL_TREE
;
1776 int gather_scale
= 1;
1777 enum vect_def_type gather_dt
= vect_unknown_def_type
;
1782 enum vect_def_type dt
;
1784 if (slp_node
!= NULL
)
1787 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits
;
1788 gcc_assert (ncopies
>= 1);
1790 is_store
= gimple_call_internal_fn (stmt
) == IFN_MASK_STORE
;
1791 mask
= gimple_call_arg (stmt
, 2);
1792 if (TYPE_PRECISION (TREE_TYPE (mask
))
1793 != GET_MODE_BITSIZE (TYPE_MODE (TREE_TYPE (vectype
))))
1796 /* FORNOW. This restriction should be relaxed. */
1797 if (nested_in_vect_loop
&& ncopies
> 1)
1799 if (dump_enabled_p ())
1800 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
1801 "multiple types in nested loop.");
1805 if (!STMT_VINFO_RELEVANT_P (stmt_info
))
1808 if (STMT_VINFO_DEF_TYPE (stmt_info
) != vect_internal_def
)
1811 if (!STMT_VINFO_DATA_REF (stmt_info
))
1814 elem_type
= TREE_TYPE (vectype
);
1816 if (STMT_VINFO_GROUPED_ACCESS (stmt_info
))
1819 if (STMT_VINFO_STRIDE_LOAD_P (stmt_info
))
1822 if (STMT_VINFO_GATHER_P (stmt_info
))
1826 gather_decl
= vect_check_gather (stmt
, loop_vinfo
, &gather_base
,
1827 &gather_off
, &gather_scale
);
1828 gcc_assert (gather_decl
);
1829 if (!vect_is_simple_use_1 (gather_off
, NULL
, loop_vinfo
, NULL
,
1830 &def_stmt
, &def
, &gather_dt
,
1831 &gather_off_vectype
))
1833 if (dump_enabled_p ())
1834 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
1835 "gather index use not simple.");
1839 tree arglist
= TYPE_ARG_TYPES (TREE_TYPE (gather_decl
));
1841 = TREE_VALUE (TREE_CHAIN (TREE_CHAIN (TREE_CHAIN (arglist
))));
1842 if (TREE_CODE (masktype
) == INTEGER_TYPE
)
1844 if (dump_enabled_p ())
1845 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
1846 "masked gather with integer mask not supported.");
1850 else if (tree_int_cst_compare (nested_in_vect_loop
1851 ? STMT_VINFO_DR_STEP (stmt_info
)
1852 : DR_STEP (dr
), size_zero_node
) <= 0)
1854 else if (!VECTOR_MODE_P (TYPE_MODE (vectype
))
1855 || !can_vec_mask_load_store_p (TYPE_MODE (vectype
), !is_store
))
1858 if (TREE_CODE (mask
) != SSA_NAME
)
1861 if (!vect_is_simple_use (mask
, stmt
, loop_vinfo
, NULL
,
1862 &def_stmt
, &def
, &dt
))
1867 tree rhs
= gimple_call_arg (stmt
, 3);
1868 if (!vect_is_simple_use (rhs
, stmt
, loop_vinfo
, NULL
,
1869 &def_stmt
, &def
, &dt
))
1873 if (!vec_stmt
) /* transformation not required. */
1875 STMT_VINFO_TYPE (stmt_info
) = call_vec_info_type
;
1877 vect_model_store_cost (stmt_info
, ncopies
, false, dt
,
1880 vect_model_load_cost (stmt_info
, ncopies
, false, NULL
, NULL
, NULL
);
1886 if (STMT_VINFO_GATHER_P (stmt_info
))
1888 tree vec_oprnd0
= NULL_TREE
, op
;
1889 tree arglist
= TYPE_ARG_TYPES (TREE_TYPE (gather_decl
));
1890 tree rettype
, srctype
, ptrtype
, idxtype
, masktype
, scaletype
;
1891 tree ptr
, vec_mask
= NULL_TREE
, mask_op
= NULL_TREE
, var
, scale
;
1892 tree perm_mask
= NULL_TREE
, prev_res
= NULL_TREE
;
1893 tree mask_perm_mask
= NULL_TREE
;
1894 edge pe
= loop_preheader_edge (loop
);
1897 enum { NARROW
, NONE
, WIDEN
} modifier
;
1898 int gather_off_nunits
= TYPE_VECTOR_SUBPARTS (gather_off_vectype
);
1900 rettype
= TREE_TYPE (TREE_TYPE (gather_decl
));
1901 srctype
= TREE_VALUE (arglist
); arglist
= TREE_CHAIN (arglist
);
1902 ptrtype
= TREE_VALUE (arglist
); arglist
= TREE_CHAIN (arglist
);
1903 idxtype
= TREE_VALUE (arglist
); arglist
= TREE_CHAIN (arglist
);
1904 masktype
= TREE_VALUE (arglist
); arglist
= TREE_CHAIN (arglist
);
1905 scaletype
= TREE_VALUE (arglist
);
1906 gcc_checking_assert (types_compatible_p (srctype
, rettype
)
1907 && types_compatible_p (srctype
, masktype
));
1909 if (nunits
== gather_off_nunits
)
1911 else if (nunits
== gather_off_nunits
/ 2)
1913 unsigned char *sel
= XALLOCAVEC (unsigned char, gather_off_nunits
);
1916 for (i
= 0; i
< gather_off_nunits
; ++i
)
1917 sel
[i
] = i
| nunits
;
1919 perm_mask
= vect_gen_perm_mask_checked (gather_off_vectype
, sel
);
1921 else if (nunits
== gather_off_nunits
* 2)
1923 unsigned char *sel
= XALLOCAVEC (unsigned char, nunits
);
1926 for (i
= 0; i
< nunits
; ++i
)
1927 sel
[i
] = i
< gather_off_nunits
1928 ? i
: i
+ nunits
- gather_off_nunits
;
1930 perm_mask
= vect_gen_perm_mask_checked (vectype
, sel
);
1932 for (i
= 0; i
< nunits
; ++i
)
1933 sel
[i
] = i
| gather_off_nunits
;
1934 mask_perm_mask
= vect_gen_perm_mask_checked (masktype
, sel
);
1939 vec_dest
= vect_create_destination_var (gimple_call_lhs (stmt
), vectype
);
1941 ptr
= fold_convert (ptrtype
, gather_base
);
1942 if (!is_gimple_min_invariant (ptr
))
1944 ptr
= force_gimple_operand (ptr
, &seq
, true, NULL_TREE
);
1945 new_bb
= gsi_insert_seq_on_edge_immediate (pe
, seq
);
1946 gcc_assert (!new_bb
);
1949 scale
= build_int_cst (scaletype
, gather_scale
);
1951 prev_stmt_info
= NULL
;
1952 for (j
= 0; j
< ncopies
; ++j
)
1954 if (modifier
== WIDEN
&& (j
& 1))
1955 op
= permute_vec_elements (vec_oprnd0
, vec_oprnd0
,
1956 perm_mask
, stmt
, gsi
);
1959 = vect_get_vec_def_for_operand (gather_off
, stmt
, NULL
);
1962 = vect_get_vec_def_for_stmt_copy (gather_dt
, vec_oprnd0
);
1964 if (!useless_type_conversion_p (idxtype
, TREE_TYPE (op
)))
1966 gcc_assert (TYPE_VECTOR_SUBPARTS (TREE_TYPE (op
))
1967 == TYPE_VECTOR_SUBPARTS (idxtype
));
1968 var
= vect_get_new_vect_var (idxtype
, vect_simple_var
, NULL
);
1969 var
= make_ssa_name (var
);
1970 op
= build1 (VIEW_CONVERT_EXPR
, idxtype
, op
);
1972 = gimple_build_assign (var
, VIEW_CONVERT_EXPR
, op
);
1973 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
1977 if (mask_perm_mask
&& (j
& 1))
1978 mask_op
= permute_vec_elements (mask_op
, mask_op
,
1979 mask_perm_mask
, stmt
, gsi
);
1983 vec_mask
= vect_get_vec_def_for_operand (mask
, stmt
, NULL
);
1986 vect_is_simple_use (vec_mask
, NULL
, loop_vinfo
, NULL
,
1987 &def_stmt
, &def
, &dt
);
1988 vec_mask
= vect_get_vec_def_for_stmt_copy (dt
, vec_mask
);
1992 if (!useless_type_conversion_p (masktype
, TREE_TYPE (vec_mask
)))
1994 gcc_assert (TYPE_VECTOR_SUBPARTS (TREE_TYPE (mask_op
))
1995 == TYPE_VECTOR_SUBPARTS (masktype
));
1996 var
= vect_get_new_vect_var (masktype
, vect_simple_var
,
1998 var
= make_ssa_name (var
);
1999 mask_op
= build1 (VIEW_CONVERT_EXPR
, masktype
, mask_op
);
2001 = gimple_build_assign (var
, VIEW_CONVERT_EXPR
, mask_op
);
2002 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
2008 = gimple_build_call (gather_decl
, 5, mask_op
, ptr
, op
, mask_op
,
2011 if (!useless_type_conversion_p (vectype
, rettype
))
2013 gcc_assert (TYPE_VECTOR_SUBPARTS (vectype
)
2014 == TYPE_VECTOR_SUBPARTS (rettype
));
2015 var
= vect_get_new_vect_var (rettype
, vect_simple_var
, NULL
);
2016 op
= make_ssa_name (var
, new_stmt
);
2017 gimple_call_set_lhs (new_stmt
, op
);
2018 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
2019 var
= make_ssa_name (vec_dest
);
2020 op
= build1 (VIEW_CONVERT_EXPR
, vectype
, op
);
2021 new_stmt
= gimple_build_assign (var
, VIEW_CONVERT_EXPR
, op
);
2025 var
= make_ssa_name (vec_dest
, new_stmt
);
2026 gimple_call_set_lhs (new_stmt
, var
);
2029 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
2031 if (modifier
== NARROW
)
2038 var
= permute_vec_elements (prev_res
, var
,
2039 perm_mask
, stmt
, gsi
);
2040 new_stmt
= SSA_NAME_DEF_STMT (var
);
2043 if (prev_stmt_info
== NULL
)
2044 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
2046 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
2047 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
2050 /* Ensure that even with -fno-tree-dce the scalar MASK_LOAD is removed
2052 tree lhs
= gimple_call_lhs (stmt
);
2053 new_stmt
= gimple_build_assign (lhs
, build_zero_cst (TREE_TYPE (lhs
)));
2054 set_vinfo_for_stmt (new_stmt
, stmt_info
);
2055 set_vinfo_for_stmt (stmt
, NULL
);
2056 STMT_VINFO_STMT (stmt_info
) = new_stmt
;
2057 gsi_replace (gsi
, new_stmt
, true);
2062 tree vec_rhs
= NULL_TREE
, vec_mask
= NULL_TREE
;
2063 prev_stmt_info
= NULL
;
2064 for (i
= 0; i
< ncopies
; i
++)
2066 unsigned align
, misalign
;
2070 tree rhs
= gimple_call_arg (stmt
, 3);
2071 vec_rhs
= vect_get_vec_def_for_operand (rhs
, stmt
, NULL
);
2072 vec_mask
= vect_get_vec_def_for_operand (mask
, stmt
, NULL
);
2073 /* We should have catched mismatched types earlier. */
2074 gcc_assert (useless_type_conversion_p (vectype
,
2075 TREE_TYPE (vec_rhs
)));
2076 dataref_ptr
= vect_create_data_ref_ptr (stmt
, vectype
, NULL
,
2077 NULL_TREE
, &dummy
, gsi
,
2078 &ptr_incr
, false, &inv_p
);
2079 gcc_assert (!inv_p
);
2083 vect_is_simple_use (vec_rhs
, NULL
, loop_vinfo
, NULL
, &def_stmt
,
2085 vec_rhs
= vect_get_vec_def_for_stmt_copy (dt
, vec_rhs
);
2086 vect_is_simple_use (vec_mask
, NULL
, loop_vinfo
, NULL
, &def_stmt
,
2088 vec_mask
= vect_get_vec_def_for_stmt_copy (dt
, vec_mask
);
2089 dataref_ptr
= bump_vector_ptr (dataref_ptr
, ptr_incr
, gsi
, stmt
,
2090 TYPE_SIZE_UNIT (vectype
));
2093 align
= TYPE_ALIGN_UNIT (vectype
);
2094 if (aligned_access_p (dr
))
2096 else if (DR_MISALIGNMENT (dr
) == -1)
2098 align
= TYPE_ALIGN_UNIT (elem_type
);
2102 misalign
= DR_MISALIGNMENT (dr
);
2103 set_ptr_info_alignment (get_ptr_info (dataref_ptr
), align
,
2106 = gimple_build_call_internal (IFN_MASK_STORE
, 4, dataref_ptr
,
2107 gimple_call_arg (stmt
, 1),
2109 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
2111 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
2113 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
2114 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
2119 tree vec_mask
= NULL_TREE
;
2120 prev_stmt_info
= NULL
;
2121 vec_dest
= vect_create_destination_var (gimple_call_lhs (stmt
), vectype
);
2122 for (i
= 0; i
< ncopies
; i
++)
2124 unsigned align
, misalign
;
2128 vec_mask
= vect_get_vec_def_for_operand (mask
, stmt
, NULL
);
2129 dataref_ptr
= vect_create_data_ref_ptr (stmt
, vectype
, NULL
,
2130 NULL_TREE
, &dummy
, gsi
,
2131 &ptr_incr
, false, &inv_p
);
2132 gcc_assert (!inv_p
);
2136 vect_is_simple_use (vec_mask
, NULL
, loop_vinfo
, NULL
, &def_stmt
,
2138 vec_mask
= vect_get_vec_def_for_stmt_copy (dt
, vec_mask
);
2139 dataref_ptr
= bump_vector_ptr (dataref_ptr
, ptr_incr
, gsi
, stmt
,
2140 TYPE_SIZE_UNIT (vectype
));
2143 align
= TYPE_ALIGN_UNIT (vectype
);
2144 if (aligned_access_p (dr
))
2146 else if (DR_MISALIGNMENT (dr
) == -1)
2148 align
= TYPE_ALIGN_UNIT (elem_type
);
2152 misalign
= DR_MISALIGNMENT (dr
);
2153 set_ptr_info_alignment (get_ptr_info (dataref_ptr
), align
,
2156 = gimple_build_call_internal (IFN_MASK_LOAD
, 3, dataref_ptr
,
2157 gimple_call_arg (stmt
, 1),
2159 gimple_call_set_lhs (new_stmt
, make_ssa_name (vec_dest
));
2160 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
2162 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
2164 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
2165 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
2171 /* Ensure that even with -fno-tree-dce the scalar MASK_LOAD is removed
2173 tree lhs
= gimple_call_lhs (stmt
);
2174 new_stmt
= gimple_build_assign (lhs
, build_zero_cst (TREE_TYPE (lhs
)));
2175 set_vinfo_for_stmt (new_stmt
, stmt_info
);
2176 set_vinfo_for_stmt (stmt
, NULL
);
2177 STMT_VINFO_STMT (stmt_info
) = new_stmt
;
2178 gsi_replace (gsi
, new_stmt
, true);
2185 /* Function vectorizable_call.
2187 Check if GS performs a function call that can be vectorized.
2188 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
2189 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
2190 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
2193 vectorizable_call (gimple gs
, gimple_stmt_iterator
*gsi
, gimple
*vec_stmt
,
2200 tree vec_oprnd0
= NULL_TREE
, vec_oprnd1
= NULL_TREE
;
2201 stmt_vec_info stmt_info
= vinfo_for_stmt (gs
), prev_stmt_info
;
2202 tree vectype_out
, vectype_in
;
2205 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
2206 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
2207 tree fndecl
, new_temp
, def
, rhs_type
;
2209 enum vect_def_type dt
[3]
2210 = {vect_unknown_def_type
, vect_unknown_def_type
, vect_unknown_def_type
};
2211 gimple new_stmt
= NULL
;
2213 vec
<tree
> vargs
= vNULL
;
2214 enum { NARROW
, NONE
, WIDEN
} modifier
;
2218 if (!STMT_VINFO_RELEVANT_P (stmt_info
) && !bb_vinfo
)
2221 if (STMT_VINFO_DEF_TYPE (stmt_info
) != vect_internal_def
)
2224 /* Is GS a vectorizable call? */
2225 stmt
= dyn_cast
<gcall
*> (gs
);
2229 if (gimple_call_internal_p (stmt
)
2230 && (gimple_call_internal_fn (stmt
) == IFN_MASK_LOAD
2231 || gimple_call_internal_fn (stmt
) == IFN_MASK_STORE
))
2232 return vectorizable_mask_load_store (stmt
, gsi
, vec_stmt
,
2235 if (gimple_call_lhs (stmt
) == NULL_TREE
2236 || TREE_CODE (gimple_call_lhs (stmt
)) != SSA_NAME
)
2239 gcc_checking_assert (!stmt_can_throw_internal (stmt
));
2241 vectype_out
= STMT_VINFO_VECTYPE (stmt_info
);
2243 /* Process function arguments. */
2244 rhs_type
= NULL_TREE
;
2245 vectype_in
= NULL_TREE
;
2246 nargs
= gimple_call_num_args (stmt
);
2248 /* Bail out if the function has more than three arguments, we do not have
2249 interesting builtin functions to vectorize with more than two arguments
2250 except for fma. No arguments is also not good. */
2251 if (nargs
== 0 || nargs
> 3)
2254 /* Ignore the argument of IFN_GOMP_SIMD_LANE, it is magic. */
2255 if (gimple_call_internal_p (stmt
)
2256 && gimple_call_internal_fn (stmt
) == IFN_GOMP_SIMD_LANE
)
2259 rhs_type
= unsigned_type_node
;
2262 for (i
= 0; i
< nargs
; i
++)
2266 op
= gimple_call_arg (stmt
, i
);
2268 /* We can only handle calls with arguments of the same type. */
2270 && !types_compatible_p (rhs_type
, TREE_TYPE (op
)))
2272 if (dump_enabled_p ())
2273 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
2274 "argument types differ.\n");
2278 rhs_type
= TREE_TYPE (op
);
2280 if (!vect_is_simple_use_1 (op
, stmt
, loop_vinfo
, bb_vinfo
,
2281 &def_stmt
, &def
, &dt
[i
], &opvectype
))
2283 if (dump_enabled_p ())
2284 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
2285 "use not simple.\n");
2290 vectype_in
= opvectype
;
2292 && opvectype
!= vectype_in
)
2294 if (dump_enabled_p ())
2295 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
2296 "argument vector types differ.\n");
2300 /* If all arguments are external or constant defs use a vector type with
2301 the same size as the output vector type. */
2303 vectype_in
= get_same_sized_vectype (rhs_type
, vectype_out
);
2305 gcc_assert (vectype_in
);
2308 if (dump_enabled_p ())
2310 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
2311 "no vectype for scalar type ");
2312 dump_generic_expr (MSG_MISSED_OPTIMIZATION
, TDF_SLIM
, rhs_type
);
2313 dump_printf (MSG_MISSED_OPTIMIZATION
, "\n");
2320 nunits_in
= TYPE_VECTOR_SUBPARTS (vectype_in
);
2321 nunits_out
= TYPE_VECTOR_SUBPARTS (vectype_out
);
2322 if (nunits_in
== nunits_out
/ 2)
2324 else if (nunits_out
== nunits_in
)
2326 else if (nunits_out
== nunits_in
/ 2)
2331 /* For now, we only vectorize functions if a target specific builtin
2332 is available. TODO -- in some cases, it might be profitable to
2333 insert the calls for pieces of the vector, in order to be able
2334 to vectorize other operations in the loop. */
2335 fndecl
= vectorizable_function (stmt
, vectype_out
, vectype_in
);
2336 if (fndecl
== NULL_TREE
)
2338 if (gimple_call_internal_p (stmt
)
2339 && gimple_call_internal_fn (stmt
) == IFN_GOMP_SIMD_LANE
2342 && LOOP_VINFO_LOOP (loop_vinfo
)->simduid
2343 && TREE_CODE (gimple_call_arg (stmt
, 0)) == SSA_NAME
2344 && LOOP_VINFO_LOOP (loop_vinfo
)->simduid
2345 == SSA_NAME_VAR (gimple_call_arg (stmt
, 0)))
2347 /* We can handle IFN_GOMP_SIMD_LANE by returning a
2348 { 0, 1, 2, ... vf - 1 } vector. */
2349 gcc_assert (nargs
== 0);
2353 if (dump_enabled_p ())
2354 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
2355 "function is not vectorizable.\n");
2360 gcc_assert (!gimple_vuse (stmt
));
2362 if (slp_node
|| PURE_SLP_STMT (stmt_info
))
2364 else if (modifier
== NARROW
)
2365 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits_out
;
2367 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits_in
;
2369 /* Sanity check: make sure that at least one copy of the vectorized stmt
2370 needs to be generated. */
2371 gcc_assert (ncopies
>= 1);
2373 if (!vec_stmt
) /* transformation not required. */
2375 STMT_VINFO_TYPE (stmt_info
) = call_vec_info_type
;
2376 if (dump_enabled_p ())
2377 dump_printf_loc (MSG_NOTE
, vect_location
, "=== vectorizable_call ==="
2379 vect_model_simple_cost (stmt_info
, ncopies
, dt
, NULL
, NULL
);
2385 if (dump_enabled_p ())
2386 dump_printf_loc (MSG_NOTE
, vect_location
, "transform call.\n");
2389 scalar_dest
= gimple_call_lhs (stmt
);
2390 vec_dest
= vect_create_destination_var (scalar_dest
, vectype_out
);
2392 prev_stmt_info
= NULL
;
2396 for (j
= 0; j
< ncopies
; ++j
)
2398 /* Build argument list for the vectorized call. */
2400 vargs
.create (nargs
);
2406 auto_vec
<vec
<tree
> > vec_defs (nargs
);
2407 vec
<tree
> vec_oprnds0
;
2409 for (i
= 0; i
< nargs
; i
++)
2410 vargs
.quick_push (gimple_call_arg (stmt
, i
));
2411 vect_get_slp_defs (vargs
, slp_node
, &vec_defs
, -1);
2412 vec_oprnds0
= vec_defs
[0];
2414 /* Arguments are ready. Create the new vector stmt. */
2415 FOR_EACH_VEC_ELT (vec_oprnds0
, i
, vec_oprnd0
)
2418 for (k
= 0; k
< nargs
; k
++)
2420 vec
<tree
> vec_oprndsk
= vec_defs
[k
];
2421 vargs
[k
] = vec_oprndsk
[i
];
2423 new_stmt
= gimple_build_call_vec (fndecl
, vargs
);
2424 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
2425 gimple_call_set_lhs (new_stmt
, new_temp
);
2426 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
2427 SLP_TREE_VEC_STMTS (slp_node
).quick_push (new_stmt
);
2430 for (i
= 0; i
< nargs
; i
++)
2432 vec
<tree
> vec_oprndsi
= vec_defs
[i
];
2433 vec_oprndsi
.release ();
2438 for (i
= 0; i
< nargs
; i
++)
2440 op
= gimple_call_arg (stmt
, i
);
2443 = vect_get_vec_def_for_operand (op
, stmt
, NULL
);
2446 vec_oprnd0
= gimple_call_arg (new_stmt
, i
);
2448 = vect_get_vec_def_for_stmt_copy (dt
[i
], vec_oprnd0
);
2451 vargs
.quick_push (vec_oprnd0
);
2454 if (gimple_call_internal_p (stmt
)
2455 && gimple_call_internal_fn (stmt
) == IFN_GOMP_SIMD_LANE
)
2457 tree
*v
= XALLOCAVEC (tree
, nunits_out
);
2459 for (k
= 0; k
< nunits_out
; ++k
)
2460 v
[k
] = build_int_cst (unsigned_type_node
, j
* nunits_out
+ k
);
2461 tree cst
= build_vector (vectype_out
, v
);
2463 = vect_get_new_vect_var (vectype_out
, vect_simple_var
, "cst_");
2464 gimple init_stmt
= gimple_build_assign (new_var
, cst
);
2465 new_temp
= make_ssa_name (new_var
, init_stmt
);
2466 gimple_assign_set_lhs (init_stmt
, new_temp
);
2467 vect_init_vector_1 (stmt
, init_stmt
, NULL
);
2468 new_temp
= make_ssa_name (vec_dest
);
2469 new_stmt
= gimple_build_assign (new_temp
,
2470 gimple_assign_lhs (init_stmt
));
2474 new_stmt
= gimple_build_call_vec (fndecl
, vargs
);
2475 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
2476 gimple_call_set_lhs (new_stmt
, new_temp
);
2478 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
2481 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
2483 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
2485 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
2491 for (j
= 0; j
< ncopies
; ++j
)
2493 /* Build argument list for the vectorized call. */
2495 vargs
.create (nargs
* 2);
2501 auto_vec
<vec
<tree
> > vec_defs (nargs
);
2502 vec
<tree
> vec_oprnds0
;
2504 for (i
= 0; i
< nargs
; i
++)
2505 vargs
.quick_push (gimple_call_arg (stmt
, i
));
2506 vect_get_slp_defs (vargs
, slp_node
, &vec_defs
, -1);
2507 vec_oprnds0
= vec_defs
[0];
2509 /* Arguments are ready. Create the new vector stmt. */
2510 for (i
= 0; vec_oprnds0
.iterate (i
, &vec_oprnd0
); i
+= 2)
2514 for (k
= 0; k
< nargs
; k
++)
2516 vec
<tree
> vec_oprndsk
= vec_defs
[k
];
2517 vargs
.quick_push (vec_oprndsk
[i
]);
2518 vargs
.quick_push (vec_oprndsk
[i
+ 1]);
2520 new_stmt
= gimple_build_call_vec (fndecl
, vargs
);
2521 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
2522 gimple_call_set_lhs (new_stmt
, new_temp
);
2523 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
2524 SLP_TREE_VEC_STMTS (slp_node
).quick_push (new_stmt
);
2527 for (i
= 0; i
< nargs
; i
++)
2529 vec
<tree
> vec_oprndsi
= vec_defs
[i
];
2530 vec_oprndsi
.release ();
2535 for (i
= 0; i
< nargs
; i
++)
2537 op
= gimple_call_arg (stmt
, i
);
2541 = vect_get_vec_def_for_operand (op
, stmt
, NULL
);
2543 = vect_get_vec_def_for_stmt_copy (dt
[i
], vec_oprnd0
);
2547 vec_oprnd1
= gimple_call_arg (new_stmt
, 2*i
+ 1);
2549 = vect_get_vec_def_for_stmt_copy (dt
[i
], vec_oprnd1
);
2551 = vect_get_vec_def_for_stmt_copy (dt
[i
], vec_oprnd0
);
2554 vargs
.quick_push (vec_oprnd0
);
2555 vargs
.quick_push (vec_oprnd1
);
2558 new_stmt
= gimple_build_call_vec (fndecl
, vargs
);
2559 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
2560 gimple_call_set_lhs (new_stmt
, new_temp
);
2561 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
2564 STMT_VINFO_VEC_STMT (stmt_info
) = new_stmt
;
2566 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
2568 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
2571 *vec_stmt
= STMT_VINFO_VEC_STMT (stmt_info
);
2576 /* No current target implements this case. */
2582 /* The call in STMT might prevent it from being removed in dce.
2583 We however cannot remove it here, due to the way the ssa name
2584 it defines is mapped to the new definition. So just replace
2585 rhs of the statement with something harmless. */
2590 type
= TREE_TYPE (scalar_dest
);
2591 if (is_pattern_stmt_p (stmt_info
))
2592 lhs
= gimple_call_lhs (STMT_VINFO_RELATED_STMT (stmt_info
));
2594 lhs
= gimple_call_lhs (stmt
);
2595 new_stmt
= gimple_build_assign (lhs
, build_zero_cst (type
));
2596 set_vinfo_for_stmt (new_stmt
, stmt_info
);
2597 set_vinfo_for_stmt (stmt
, NULL
);
2598 STMT_VINFO_STMT (stmt_info
) = new_stmt
;
2599 gsi_replace (gsi
, new_stmt
, false);
2605 struct simd_call_arg_info
2609 enum vect_def_type dt
;
2610 HOST_WIDE_INT linear_step
;
2614 /* Function vectorizable_simd_clone_call.
2616 Check if STMT performs a function call that can be vectorized
2617 by calling a simd clone of the function.
2618 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
2619 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
2620 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
2623 vectorizable_simd_clone_call (gimple stmt
, gimple_stmt_iterator
*gsi
,
2624 gimple
*vec_stmt
, slp_tree slp_node
)
2629 tree vec_oprnd0
= NULL_TREE
;
2630 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
), prev_stmt_info
;
2632 unsigned int nunits
;
2633 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
2634 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
2635 struct loop
*loop
= loop_vinfo
? LOOP_VINFO_LOOP (loop_vinfo
) : NULL
;
2636 tree fndecl
, new_temp
, def
;
2638 gimple new_stmt
= NULL
;
2640 vec
<simd_call_arg_info
> arginfo
= vNULL
;
2641 vec
<tree
> vargs
= vNULL
;
2643 tree lhs
, rtype
, ratype
;
2644 vec
<constructor_elt
, va_gc
> *ret_ctor_elts
;
2646 /* Is STMT a vectorizable call? */
2647 if (!is_gimple_call (stmt
))
2650 fndecl
= gimple_call_fndecl (stmt
);
2651 if (fndecl
== NULL_TREE
)
2654 struct cgraph_node
*node
= cgraph_node::get (fndecl
);
2655 if (node
== NULL
|| node
->simd_clones
== NULL
)
2658 if (!STMT_VINFO_RELEVANT_P (stmt_info
) && !bb_vinfo
)
2661 if (STMT_VINFO_DEF_TYPE (stmt_info
) != vect_internal_def
)
2664 if (gimple_call_lhs (stmt
)
2665 && TREE_CODE (gimple_call_lhs (stmt
)) != SSA_NAME
)
2668 gcc_checking_assert (!stmt_can_throw_internal (stmt
));
2670 vectype
= STMT_VINFO_VECTYPE (stmt_info
);
2672 if (loop_vinfo
&& nested_in_vect_loop_p (loop
, stmt
))
2676 if (slp_node
|| PURE_SLP_STMT (stmt_info
))
2679 /* Process function arguments. */
2680 nargs
= gimple_call_num_args (stmt
);
2682 /* Bail out if the function has zero arguments. */
2686 arginfo
.create (nargs
);
2688 for (i
= 0; i
< nargs
; i
++)
2690 simd_call_arg_info thisarginfo
;
2693 thisarginfo
.linear_step
= 0;
2694 thisarginfo
.align
= 0;
2695 thisarginfo
.op
= NULL_TREE
;
2697 op
= gimple_call_arg (stmt
, i
);
2698 if (!vect_is_simple_use_1 (op
, stmt
, loop_vinfo
, bb_vinfo
,
2699 &def_stmt
, &def
, &thisarginfo
.dt
,
2700 &thisarginfo
.vectype
)
2701 || thisarginfo
.dt
== vect_uninitialized_def
)
2703 if (dump_enabled_p ())
2704 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
2705 "use not simple.\n");
2710 if (thisarginfo
.dt
== vect_constant_def
2711 || thisarginfo
.dt
== vect_external_def
)
2712 gcc_assert (thisarginfo
.vectype
== NULL_TREE
);
2714 gcc_assert (thisarginfo
.vectype
!= NULL_TREE
);
2716 /* For linear arguments, the analyze phase should have saved
2717 the base and step in STMT_VINFO_SIMD_CLONE_INFO. */
2718 if (i
* 2 + 3 <= STMT_VINFO_SIMD_CLONE_INFO (stmt_info
).length ()
2719 && STMT_VINFO_SIMD_CLONE_INFO (stmt_info
)[i
* 2 + 2])
2721 gcc_assert (vec_stmt
);
2722 thisarginfo
.linear_step
2723 = tree_to_shwi (STMT_VINFO_SIMD_CLONE_INFO (stmt_info
)[i
* 2 + 2]);
2725 = STMT_VINFO_SIMD_CLONE_INFO (stmt_info
)[i
* 2 + 1];
2726 /* If loop has been peeled for alignment, we need to adjust it. */
2727 tree n1
= LOOP_VINFO_NITERS_UNCHANGED (loop_vinfo
);
2728 tree n2
= LOOP_VINFO_NITERS (loop_vinfo
);
2731 tree bias
= fold_build2 (MINUS_EXPR
, TREE_TYPE (n1
), n1
, n2
);
2732 tree step
= STMT_VINFO_SIMD_CLONE_INFO (stmt_info
)[i
* 2 + 2];
2733 tree opt
= TREE_TYPE (thisarginfo
.op
);
2734 bias
= fold_convert (TREE_TYPE (step
), bias
);
2735 bias
= fold_build2 (MULT_EXPR
, TREE_TYPE (step
), bias
, step
);
2737 = fold_build2 (POINTER_TYPE_P (opt
)
2738 ? POINTER_PLUS_EXPR
: PLUS_EXPR
, opt
,
2739 thisarginfo
.op
, bias
);
2743 && thisarginfo
.dt
!= vect_constant_def
2744 && thisarginfo
.dt
!= vect_external_def
2746 && TREE_CODE (op
) == SSA_NAME
2747 && simple_iv (loop
, loop_containing_stmt (stmt
), op
,
2749 && tree_fits_shwi_p (iv
.step
))
2751 thisarginfo
.linear_step
= tree_to_shwi (iv
.step
);
2752 thisarginfo
.op
= iv
.base
;
2754 else if ((thisarginfo
.dt
== vect_constant_def
2755 || thisarginfo
.dt
== vect_external_def
)
2756 && POINTER_TYPE_P (TREE_TYPE (op
)))
2757 thisarginfo
.align
= get_pointer_alignment (op
) / BITS_PER_UNIT
;
2759 arginfo
.quick_push (thisarginfo
);
2762 unsigned int badness
= 0;
2763 struct cgraph_node
*bestn
= NULL
;
2764 if (STMT_VINFO_SIMD_CLONE_INFO (stmt_info
).exists ())
2765 bestn
= cgraph_node::get (STMT_VINFO_SIMD_CLONE_INFO (stmt_info
)[0]);
2767 for (struct cgraph_node
*n
= node
->simd_clones
; n
!= NULL
;
2768 n
= n
->simdclone
->next_clone
)
2770 unsigned int this_badness
= 0;
2771 if (n
->simdclone
->simdlen
2772 > (unsigned) LOOP_VINFO_VECT_FACTOR (loop_vinfo
)
2773 || n
->simdclone
->nargs
!= nargs
)
2775 if (n
->simdclone
->simdlen
2776 < (unsigned) LOOP_VINFO_VECT_FACTOR (loop_vinfo
))
2777 this_badness
+= (exact_log2 (LOOP_VINFO_VECT_FACTOR (loop_vinfo
))
2778 - exact_log2 (n
->simdclone
->simdlen
)) * 1024;
2779 if (n
->simdclone
->inbranch
)
2780 this_badness
+= 2048;
2781 int target_badness
= targetm
.simd_clone
.usable (n
);
2782 if (target_badness
< 0)
2784 this_badness
+= target_badness
* 512;
2785 /* FORNOW: Have to add code to add the mask argument. */
2786 if (n
->simdclone
->inbranch
)
2788 for (i
= 0; i
< nargs
; i
++)
2790 switch (n
->simdclone
->args
[i
].arg_type
)
2792 case SIMD_CLONE_ARG_TYPE_VECTOR
:
2793 if (!useless_type_conversion_p
2794 (n
->simdclone
->args
[i
].orig_type
,
2795 TREE_TYPE (gimple_call_arg (stmt
, i
))))
2797 else if (arginfo
[i
].dt
== vect_constant_def
2798 || arginfo
[i
].dt
== vect_external_def
2799 || arginfo
[i
].linear_step
)
2802 case SIMD_CLONE_ARG_TYPE_UNIFORM
:
2803 if (arginfo
[i
].dt
!= vect_constant_def
2804 && arginfo
[i
].dt
!= vect_external_def
)
2807 case SIMD_CLONE_ARG_TYPE_LINEAR_CONSTANT_STEP
:
2808 if (arginfo
[i
].dt
== vect_constant_def
2809 || arginfo
[i
].dt
== vect_external_def
2810 || (arginfo
[i
].linear_step
2811 != n
->simdclone
->args
[i
].linear_step
))
2814 case SIMD_CLONE_ARG_TYPE_LINEAR_VARIABLE_STEP
:
2818 case SIMD_CLONE_ARG_TYPE_MASK
:
2821 if (i
== (size_t) -1)
2823 if (n
->simdclone
->args
[i
].alignment
> arginfo
[i
].align
)
2828 if (arginfo
[i
].align
)
2829 this_badness
+= (exact_log2 (arginfo
[i
].align
)
2830 - exact_log2 (n
->simdclone
->args
[i
].alignment
));
2832 if (i
== (size_t) -1)
2834 if (bestn
== NULL
|| this_badness
< badness
)
2837 badness
= this_badness
;
2847 for (i
= 0; i
< nargs
; i
++)
2848 if ((arginfo
[i
].dt
== vect_constant_def
2849 || arginfo
[i
].dt
== vect_external_def
)
2850 && bestn
->simdclone
->args
[i
].arg_type
== SIMD_CLONE_ARG_TYPE_VECTOR
)
2853 = get_vectype_for_scalar_type (TREE_TYPE (gimple_call_arg (stmt
,
2855 if (arginfo
[i
].vectype
== NULL
2856 || (TYPE_VECTOR_SUBPARTS (arginfo
[i
].vectype
)
2857 > bestn
->simdclone
->simdlen
))
2864 fndecl
= bestn
->decl
;
2865 nunits
= bestn
->simdclone
->simdlen
;
2866 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits
;
2868 /* If the function isn't const, only allow it in simd loops where user
2869 has asserted that at least nunits consecutive iterations can be
2870 performed using SIMD instructions. */
2871 if ((loop
== NULL
|| (unsigned) loop
->safelen
< nunits
)
2872 && gimple_vuse (stmt
))
2878 /* Sanity check: make sure that at least one copy of the vectorized stmt
2879 needs to be generated. */
2880 gcc_assert (ncopies
>= 1);
2882 if (!vec_stmt
) /* transformation not required. */
2884 STMT_VINFO_SIMD_CLONE_INFO (stmt_info
).safe_push (bestn
->decl
);
2885 for (i
= 0; i
< nargs
; i
++)
2886 if (bestn
->simdclone
->args
[i
].arg_type
2887 == SIMD_CLONE_ARG_TYPE_LINEAR_CONSTANT_STEP
)
2889 STMT_VINFO_SIMD_CLONE_INFO (stmt_info
).safe_grow_cleared (i
* 2
2891 STMT_VINFO_SIMD_CLONE_INFO (stmt_info
).safe_push (arginfo
[i
].op
);
2892 tree lst
= POINTER_TYPE_P (TREE_TYPE (arginfo
[i
].op
))
2893 ? size_type_node
: TREE_TYPE (arginfo
[i
].op
);
2894 tree ls
= build_int_cst (lst
, arginfo
[i
].linear_step
);
2895 STMT_VINFO_SIMD_CLONE_INFO (stmt_info
).safe_push (ls
);
2897 STMT_VINFO_TYPE (stmt_info
) = call_simd_clone_vec_info_type
;
2898 if (dump_enabled_p ())
2899 dump_printf_loc (MSG_NOTE
, vect_location
,
2900 "=== vectorizable_simd_clone_call ===\n");
2901 /* vect_model_simple_cost (stmt_info, ncopies, dt, NULL, NULL); */
2908 if (dump_enabled_p ())
2909 dump_printf_loc (MSG_NOTE
, vect_location
, "transform call.\n");
2912 scalar_dest
= gimple_call_lhs (stmt
);
2913 vec_dest
= NULL_TREE
;
2918 vec_dest
= vect_create_destination_var (scalar_dest
, vectype
);
2919 rtype
= TREE_TYPE (TREE_TYPE (fndecl
));
2920 if (TREE_CODE (rtype
) == ARRAY_TYPE
)
2923 rtype
= TREE_TYPE (ratype
);
2927 prev_stmt_info
= NULL
;
2928 for (j
= 0; j
< ncopies
; ++j
)
2930 /* Build argument list for the vectorized call. */
2932 vargs
.create (nargs
);
2936 for (i
= 0; i
< nargs
; i
++)
2938 unsigned int k
, l
, m
, o
;
2940 op
= gimple_call_arg (stmt
, i
);
2941 switch (bestn
->simdclone
->args
[i
].arg_type
)
2943 case SIMD_CLONE_ARG_TYPE_VECTOR
:
2944 atype
= bestn
->simdclone
->args
[i
].vector_type
;
2945 o
= nunits
/ TYPE_VECTOR_SUBPARTS (atype
);
2946 for (m
= j
* o
; m
< (j
+ 1) * o
; m
++)
2948 if (TYPE_VECTOR_SUBPARTS (atype
)
2949 < TYPE_VECTOR_SUBPARTS (arginfo
[i
].vectype
))
2951 unsigned int prec
= GET_MODE_BITSIZE (TYPE_MODE (atype
));
2952 k
= (TYPE_VECTOR_SUBPARTS (arginfo
[i
].vectype
)
2953 / TYPE_VECTOR_SUBPARTS (atype
));
2954 gcc_assert ((k
& (k
- 1)) == 0);
2957 = vect_get_vec_def_for_operand (op
, stmt
, NULL
);
2960 vec_oprnd0
= arginfo
[i
].op
;
2961 if ((m
& (k
- 1)) == 0)
2963 = vect_get_vec_def_for_stmt_copy (arginfo
[i
].dt
,
2966 arginfo
[i
].op
= vec_oprnd0
;
2968 = build3 (BIT_FIELD_REF
, atype
, vec_oprnd0
,
2970 bitsize_int ((m
& (k
- 1)) * prec
));
2972 = gimple_build_assign (make_ssa_name (atype
),
2974 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
2975 vargs
.safe_push (gimple_assign_lhs (new_stmt
));
2979 k
= (TYPE_VECTOR_SUBPARTS (atype
)
2980 / TYPE_VECTOR_SUBPARTS (arginfo
[i
].vectype
));
2981 gcc_assert ((k
& (k
- 1)) == 0);
2982 vec
<constructor_elt
, va_gc
> *ctor_elts
;
2984 vec_alloc (ctor_elts
, k
);
2987 for (l
= 0; l
< k
; l
++)
2989 if (m
== 0 && l
== 0)
2991 = vect_get_vec_def_for_operand (op
, stmt
, NULL
);
2994 = vect_get_vec_def_for_stmt_copy (arginfo
[i
].dt
,
2996 arginfo
[i
].op
= vec_oprnd0
;
2999 CONSTRUCTOR_APPEND_ELT (ctor_elts
, NULL_TREE
,
3003 vargs
.safe_push (vec_oprnd0
);
3006 vec_oprnd0
= build_constructor (atype
, ctor_elts
);
3008 = gimple_build_assign (make_ssa_name (atype
),
3010 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3011 vargs
.safe_push (gimple_assign_lhs (new_stmt
));
3016 case SIMD_CLONE_ARG_TYPE_UNIFORM
:
3017 vargs
.safe_push (op
);
3019 case SIMD_CLONE_ARG_TYPE_LINEAR_CONSTANT_STEP
:
3024 = force_gimple_operand (arginfo
[i
].op
, &stmts
, true,
3029 edge pe
= loop_preheader_edge (loop
);
3030 new_bb
= gsi_insert_seq_on_edge_immediate (pe
, stmts
);
3031 gcc_assert (!new_bb
);
3033 tree phi_res
= copy_ssa_name (op
);
3034 gphi
*new_phi
= create_phi_node (phi_res
, loop
->header
);
3035 set_vinfo_for_stmt (new_phi
,
3036 new_stmt_vec_info (new_phi
, loop_vinfo
,
3038 add_phi_arg (new_phi
, arginfo
[i
].op
,
3039 loop_preheader_edge (loop
), UNKNOWN_LOCATION
);
3041 = POINTER_TYPE_P (TREE_TYPE (op
))
3042 ? POINTER_PLUS_EXPR
: PLUS_EXPR
;
3043 tree type
= POINTER_TYPE_P (TREE_TYPE (op
))
3044 ? sizetype
: TREE_TYPE (op
);
3046 = wi::mul (bestn
->simdclone
->args
[i
].linear_step
,
3048 tree tcst
= wide_int_to_tree (type
, cst
);
3049 tree phi_arg
= copy_ssa_name (op
);
3051 = gimple_build_assign (phi_arg
, code
, phi_res
, tcst
);
3052 gimple_stmt_iterator si
= gsi_after_labels (loop
->header
);
3053 gsi_insert_after (&si
, new_stmt
, GSI_NEW_STMT
);
3054 set_vinfo_for_stmt (new_stmt
,
3055 new_stmt_vec_info (new_stmt
, loop_vinfo
,
3057 add_phi_arg (new_phi
, phi_arg
, loop_latch_edge (loop
),
3059 arginfo
[i
].op
= phi_res
;
3060 vargs
.safe_push (phi_res
);
3065 = POINTER_TYPE_P (TREE_TYPE (op
))
3066 ? POINTER_PLUS_EXPR
: PLUS_EXPR
;
3067 tree type
= POINTER_TYPE_P (TREE_TYPE (op
))
3068 ? sizetype
: TREE_TYPE (op
);
3070 = wi::mul (bestn
->simdclone
->args
[i
].linear_step
,
3072 tree tcst
= wide_int_to_tree (type
, cst
);
3073 new_temp
= make_ssa_name (TREE_TYPE (op
));
3074 new_stmt
= gimple_build_assign (new_temp
, code
,
3075 arginfo
[i
].op
, tcst
);
3076 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3077 vargs
.safe_push (new_temp
);
3080 case SIMD_CLONE_ARG_TYPE_LINEAR_VARIABLE_STEP
:
3086 new_stmt
= gimple_build_call_vec (fndecl
, vargs
);
3089 gcc_assert (ratype
|| TYPE_VECTOR_SUBPARTS (rtype
) == nunits
);
3091 new_temp
= create_tmp_var (ratype
);
3092 else if (TYPE_VECTOR_SUBPARTS (vectype
)
3093 == TYPE_VECTOR_SUBPARTS (rtype
))
3094 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
3096 new_temp
= make_ssa_name (rtype
, new_stmt
);
3097 gimple_call_set_lhs (new_stmt
, new_temp
);
3099 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3103 if (TYPE_VECTOR_SUBPARTS (vectype
) < nunits
)
3106 unsigned int prec
= GET_MODE_BITSIZE (TYPE_MODE (vectype
));
3107 k
= nunits
/ TYPE_VECTOR_SUBPARTS (vectype
);
3108 gcc_assert ((k
& (k
- 1)) == 0);
3109 for (l
= 0; l
< k
; l
++)
3114 t
= build_fold_addr_expr (new_temp
);
3115 t
= build2 (MEM_REF
, vectype
, t
,
3116 build_int_cst (TREE_TYPE (t
),
3117 l
* prec
/ BITS_PER_UNIT
));
3120 t
= build3 (BIT_FIELD_REF
, vectype
, new_temp
,
3121 size_int (prec
), bitsize_int (l
* prec
));
3123 = gimple_build_assign (make_ssa_name (vectype
), t
);
3124 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3125 if (j
== 0 && l
== 0)
3126 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
3128 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
3130 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
3135 tree clobber
= build_constructor (ratype
, NULL
);
3136 TREE_THIS_VOLATILE (clobber
) = 1;
3137 new_stmt
= gimple_build_assign (new_temp
, clobber
);
3138 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3142 else if (TYPE_VECTOR_SUBPARTS (vectype
) > nunits
)
3144 unsigned int k
= (TYPE_VECTOR_SUBPARTS (vectype
)
3145 / TYPE_VECTOR_SUBPARTS (rtype
));
3146 gcc_assert ((k
& (k
- 1)) == 0);
3147 if ((j
& (k
- 1)) == 0)
3148 vec_alloc (ret_ctor_elts
, k
);
3151 unsigned int m
, o
= nunits
/ TYPE_VECTOR_SUBPARTS (rtype
);
3152 for (m
= 0; m
< o
; m
++)
3154 tree tem
= build4 (ARRAY_REF
, rtype
, new_temp
,
3155 size_int (m
), NULL_TREE
, NULL_TREE
);
3157 = gimple_build_assign (make_ssa_name (rtype
), tem
);
3158 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3159 CONSTRUCTOR_APPEND_ELT (ret_ctor_elts
, NULL_TREE
,
3160 gimple_assign_lhs (new_stmt
));
3162 tree clobber
= build_constructor (ratype
, NULL
);
3163 TREE_THIS_VOLATILE (clobber
) = 1;
3164 new_stmt
= gimple_build_assign (new_temp
, clobber
);
3165 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3168 CONSTRUCTOR_APPEND_ELT (ret_ctor_elts
, NULL_TREE
, new_temp
);
3169 if ((j
& (k
- 1)) != k
- 1)
3171 vec_oprnd0
= build_constructor (vectype
, ret_ctor_elts
);
3173 = gimple_build_assign (make_ssa_name (vec_dest
), vec_oprnd0
);
3174 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3176 if ((unsigned) j
== k
- 1)
3177 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
3179 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
3181 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
3186 tree t
= build_fold_addr_expr (new_temp
);
3187 t
= build2 (MEM_REF
, vectype
, t
,
3188 build_int_cst (TREE_TYPE (t
), 0));
3190 = gimple_build_assign (make_ssa_name (vec_dest
), t
);
3191 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3192 tree clobber
= build_constructor (ratype
, NULL
);
3193 TREE_THIS_VOLATILE (clobber
) = 1;
3194 vect_finish_stmt_generation (stmt
,
3195 gimple_build_assign (new_temp
,
3201 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
3203 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
3205 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
3210 /* The call in STMT might prevent it from being removed in dce.
3211 We however cannot remove it here, due to the way the ssa name
3212 it defines is mapped to the new definition. So just replace
3213 rhs of the statement with something harmless. */
3220 type
= TREE_TYPE (scalar_dest
);
3221 if (is_pattern_stmt_p (stmt_info
))
3222 lhs
= gimple_call_lhs (STMT_VINFO_RELATED_STMT (stmt_info
));
3224 lhs
= gimple_call_lhs (stmt
);
3225 new_stmt
= gimple_build_assign (lhs
, build_zero_cst (type
));
3228 new_stmt
= gimple_build_nop ();
3229 set_vinfo_for_stmt (new_stmt
, stmt_info
);
3230 set_vinfo_for_stmt (stmt
, NULL
);
3231 STMT_VINFO_STMT (stmt_info
) = new_stmt
;
3232 gsi_replace (gsi
, new_stmt
, true);
3233 unlink_stmt_vdef (stmt
);
3239 /* Function vect_gen_widened_results_half
3241 Create a vector stmt whose code, type, number of arguments, and result
3242 variable are CODE, OP_TYPE, and VEC_DEST, and its arguments are
3243 VEC_OPRND0 and VEC_OPRND1. The new vector stmt is to be inserted at BSI.
3244 In the case that CODE is a CALL_EXPR, this means that a call to DECL
3245 needs to be created (DECL is a function-decl of a target-builtin).
3246 STMT is the original scalar stmt that we are vectorizing. */
3249 vect_gen_widened_results_half (enum tree_code code
,
3251 tree vec_oprnd0
, tree vec_oprnd1
, int op_type
,
3252 tree vec_dest
, gimple_stmt_iterator
*gsi
,
3258 /* Generate half of the widened result: */
3259 if (code
== CALL_EXPR
)
3261 /* Target specific support */
3262 if (op_type
== binary_op
)
3263 new_stmt
= gimple_build_call (decl
, 2, vec_oprnd0
, vec_oprnd1
);
3265 new_stmt
= gimple_build_call (decl
, 1, vec_oprnd0
);
3266 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
3267 gimple_call_set_lhs (new_stmt
, new_temp
);
3271 /* Generic support */
3272 gcc_assert (op_type
== TREE_CODE_LENGTH (code
));
3273 if (op_type
!= binary_op
)
3275 new_stmt
= gimple_build_assign (vec_dest
, code
, vec_oprnd0
, vec_oprnd1
);
3276 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
3277 gimple_assign_set_lhs (new_stmt
, new_temp
);
3279 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3285 /* Get vectorized definitions for loop-based vectorization. For the first
3286 operand we call vect_get_vec_def_for_operand() (with OPRND containing
3287 scalar operand), and for the rest we get a copy with
3288 vect_get_vec_def_for_stmt_copy() using the previous vector definition
3289 (stored in OPRND). See vect_get_vec_def_for_stmt_copy() for details.
3290 The vectors are collected into VEC_OPRNDS. */
3293 vect_get_loop_based_defs (tree
*oprnd
, gimple stmt
, enum vect_def_type dt
,
3294 vec
<tree
> *vec_oprnds
, int multi_step_cvt
)
3298 /* Get first vector operand. */
3299 /* All the vector operands except the very first one (that is scalar oprnd)
3301 if (TREE_CODE (TREE_TYPE (*oprnd
)) != VECTOR_TYPE
)
3302 vec_oprnd
= vect_get_vec_def_for_operand (*oprnd
, stmt
, NULL
);
3304 vec_oprnd
= vect_get_vec_def_for_stmt_copy (dt
, *oprnd
);
3306 vec_oprnds
->quick_push (vec_oprnd
);
3308 /* Get second vector operand. */
3309 vec_oprnd
= vect_get_vec_def_for_stmt_copy (dt
, vec_oprnd
);
3310 vec_oprnds
->quick_push (vec_oprnd
);
3314 /* For conversion in multiple steps, continue to get operands
3317 vect_get_loop_based_defs (oprnd
, stmt
, dt
, vec_oprnds
, multi_step_cvt
- 1);
3321 /* Create vectorized demotion statements for vector operands from VEC_OPRNDS.
3322 For multi-step conversions store the resulting vectors and call the function
3326 vect_create_vectorized_demotion_stmts (vec
<tree
> *vec_oprnds
,
3327 int multi_step_cvt
, gimple stmt
,
3329 gimple_stmt_iterator
*gsi
,
3330 slp_tree slp_node
, enum tree_code code
,
3331 stmt_vec_info
*prev_stmt_info
)
3334 tree vop0
, vop1
, new_tmp
, vec_dest
;
3336 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
3338 vec_dest
= vec_dsts
.pop ();
3340 for (i
= 0; i
< vec_oprnds
->length (); i
+= 2)
3342 /* Create demotion operation. */
3343 vop0
= (*vec_oprnds
)[i
];
3344 vop1
= (*vec_oprnds
)[i
+ 1];
3345 new_stmt
= gimple_build_assign (vec_dest
, code
, vop0
, vop1
);
3346 new_tmp
= make_ssa_name (vec_dest
, new_stmt
);
3347 gimple_assign_set_lhs (new_stmt
, new_tmp
);
3348 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3351 /* Store the resulting vector for next recursive call. */
3352 (*vec_oprnds
)[i
/2] = new_tmp
;
3355 /* This is the last step of the conversion sequence. Store the
3356 vectors in SLP_NODE or in vector info of the scalar statement
3357 (or in STMT_VINFO_RELATED_STMT chain). */
3359 SLP_TREE_VEC_STMTS (slp_node
).quick_push (new_stmt
);
3362 if (!*prev_stmt_info
)
3363 STMT_VINFO_VEC_STMT (stmt_info
) = new_stmt
;
3365 STMT_VINFO_RELATED_STMT (*prev_stmt_info
) = new_stmt
;
3367 *prev_stmt_info
= vinfo_for_stmt (new_stmt
);
3372 /* For multi-step demotion operations we first generate demotion operations
3373 from the source type to the intermediate types, and then combine the
3374 results (stored in VEC_OPRNDS) in demotion operation to the destination
3378 /* At each level of recursion we have half of the operands we had at the
3380 vec_oprnds
->truncate ((i
+1)/2);
3381 vect_create_vectorized_demotion_stmts (vec_oprnds
, multi_step_cvt
- 1,
3382 stmt
, vec_dsts
, gsi
, slp_node
,
3383 VEC_PACK_TRUNC_EXPR
,
3387 vec_dsts
.quick_push (vec_dest
);
3391 /* Create vectorized promotion statements for vector operands from VEC_OPRNDS0
3392 and VEC_OPRNDS1 (for binary operations). For multi-step conversions store
3393 the resulting vectors and call the function recursively. */
3396 vect_create_vectorized_promotion_stmts (vec
<tree
> *vec_oprnds0
,
3397 vec
<tree
> *vec_oprnds1
,
3398 gimple stmt
, tree vec_dest
,
3399 gimple_stmt_iterator
*gsi
,
3400 enum tree_code code1
,
3401 enum tree_code code2
, tree decl1
,
3402 tree decl2
, int op_type
)
3405 tree vop0
, vop1
, new_tmp1
, new_tmp2
;
3406 gimple new_stmt1
, new_stmt2
;
3407 vec
<tree
> vec_tmp
= vNULL
;
3409 vec_tmp
.create (vec_oprnds0
->length () * 2);
3410 FOR_EACH_VEC_ELT (*vec_oprnds0
, i
, vop0
)
3412 if (op_type
== binary_op
)
3413 vop1
= (*vec_oprnds1
)[i
];
3417 /* Generate the two halves of promotion operation. */
3418 new_stmt1
= vect_gen_widened_results_half (code1
, decl1
, vop0
, vop1
,
3419 op_type
, vec_dest
, gsi
, stmt
);
3420 new_stmt2
= vect_gen_widened_results_half (code2
, decl2
, vop0
, vop1
,
3421 op_type
, vec_dest
, gsi
, stmt
);
3422 if (is_gimple_call (new_stmt1
))
3424 new_tmp1
= gimple_call_lhs (new_stmt1
);
3425 new_tmp2
= gimple_call_lhs (new_stmt2
);
3429 new_tmp1
= gimple_assign_lhs (new_stmt1
);
3430 new_tmp2
= gimple_assign_lhs (new_stmt2
);
3433 /* Store the results for the next step. */
3434 vec_tmp
.quick_push (new_tmp1
);
3435 vec_tmp
.quick_push (new_tmp2
);
3438 vec_oprnds0
->release ();
3439 *vec_oprnds0
= vec_tmp
;
3443 /* Check if STMT performs a conversion operation, that can be vectorized.
3444 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
3445 stmt to replace it, put it in VEC_STMT, and insert it at GSI.
3446 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
3449 vectorizable_conversion (gimple stmt
, gimple_stmt_iterator
*gsi
,
3450 gimple
*vec_stmt
, slp_tree slp_node
)
3454 tree op0
, op1
= NULL_TREE
;
3455 tree vec_oprnd0
= NULL_TREE
, vec_oprnd1
= NULL_TREE
;
3456 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
3457 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
3458 enum tree_code code
, code1
= ERROR_MARK
, code2
= ERROR_MARK
;
3459 enum tree_code codecvt1
= ERROR_MARK
, codecvt2
= ERROR_MARK
;
3460 tree decl1
= NULL_TREE
, decl2
= NULL_TREE
;
3464 enum vect_def_type dt
[2] = {vect_unknown_def_type
, vect_unknown_def_type
};
3465 gimple new_stmt
= NULL
;
3466 stmt_vec_info prev_stmt_info
;
3469 tree vectype_out
, vectype_in
;
3471 tree lhs_type
, rhs_type
;
3472 enum { NARROW
, NONE
, WIDEN
} modifier
;
3473 vec
<tree
> vec_oprnds0
= vNULL
;
3474 vec
<tree
> vec_oprnds1
= vNULL
;
3476 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
3477 int multi_step_cvt
= 0;
3478 vec
<tree
> vec_dsts
= vNULL
;
3479 vec
<tree
> interm_types
= vNULL
;
3480 tree last_oprnd
, intermediate_type
, cvt_type
= NULL_TREE
;
3482 machine_mode rhs_mode
;
3483 unsigned short fltsz
;
3485 /* Is STMT a vectorizable conversion? */
3487 if (!STMT_VINFO_RELEVANT_P (stmt_info
) && !bb_vinfo
)
3490 if (STMT_VINFO_DEF_TYPE (stmt_info
) != vect_internal_def
)
3493 if (!is_gimple_assign (stmt
))
3496 if (TREE_CODE (gimple_assign_lhs (stmt
)) != SSA_NAME
)
3499 code
= gimple_assign_rhs_code (stmt
);
3500 if (!CONVERT_EXPR_CODE_P (code
)
3501 && code
!= FIX_TRUNC_EXPR
3502 && code
!= FLOAT_EXPR
3503 && code
!= WIDEN_MULT_EXPR
3504 && code
!= WIDEN_LSHIFT_EXPR
)
3507 op_type
= TREE_CODE_LENGTH (code
);
3509 /* Check types of lhs and rhs. */
3510 scalar_dest
= gimple_assign_lhs (stmt
);
3511 lhs_type
= TREE_TYPE (scalar_dest
);
3512 vectype_out
= STMT_VINFO_VECTYPE (stmt_info
);
3514 op0
= gimple_assign_rhs1 (stmt
);
3515 rhs_type
= TREE_TYPE (op0
);
3517 if ((code
!= FIX_TRUNC_EXPR
&& code
!= FLOAT_EXPR
)
3518 && !((INTEGRAL_TYPE_P (lhs_type
)
3519 && INTEGRAL_TYPE_P (rhs_type
))
3520 || (SCALAR_FLOAT_TYPE_P (lhs_type
)
3521 && SCALAR_FLOAT_TYPE_P (rhs_type
))))
3524 if ((INTEGRAL_TYPE_P (lhs_type
)
3525 && (TYPE_PRECISION (lhs_type
)
3526 != GET_MODE_PRECISION (TYPE_MODE (lhs_type
))))
3527 || (INTEGRAL_TYPE_P (rhs_type
)
3528 && (TYPE_PRECISION (rhs_type
)
3529 != GET_MODE_PRECISION (TYPE_MODE (rhs_type
)))))
3531 if (dump_enabled_p ())
3532 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
3533 "type conversion to/from bit-precision unsupported."
3538 /* Check the operands of the operation. */
3539 if (!vect_is_simple_use_1 (op0
, stmt
, loop_vinfo
, bb_vinfo
,
3540 &def_stmt
, &def
, &dt
[0], &vectype_in
))
3542 if (dump_enabled_p ())
3543 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
3544 "use not simple.\n");
3547 if (op_type
== binary_op
)
3551 op1
= gimple_assign_rhs2 (stmt
);
3552 gcc_assert (code
== WIDEN_MULT_EXPR
|| code
== WIDEN_LSHIFT_EXPR
);
3553 /* For WIDEN_MULT_EXPR, if OP0 is a constant, use the type of
3555 if (CONSTANT_CLASS_P (op0
))
3556 ok
= vect_is_simple_use_1 (op1
, stmt
, loop_vinfo
, bb_vinfo
,
3557 &def_stmt
, &def
, &dt
[1], &vectype_in
);
3559 ok
= vect_is_simple_use (op1
, stmt
, loop_vinfo
, bb_vinfo
, &def_stmt
,
3564 if (dump_enabled_p ())
3565 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
3566 "use not simple.\n");
3571 /* If op0 is an external or constant defs use a vector type of
3572 the same size as the output vector type. */
3574 vectype_in
= get_same_sized_vectype (rhs_type
, vectype_out
);
3576 gcc_assert (vectype_in
);
3579 if (dump_enabled_p ())
3581 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
3582 "no vectype for scalar type ");
3583 dump_generic_expr (MSG_MISSED_OPTIMIZATION
, TDF_SLIM
, rhs_type
);
3584 dump_printf (MSG_MISSED_OPTIMIZATION
, "\n");
3590 nunits_in
= TYPE_VECTOR_SUBPARTS (vectype_in
);
3591 nunits_out
= TYPE_VECTOR_SUBPARTS (vectype_out
);
3592 if (nunits_in
< nunits_out
)
3594 else if (nunits_out
== nunits_in
)
3599 /* Multiple types in SLP are handled by creating the appropriate number of
3600 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
3602 if (slp_node
|| PURE_SLP_STMT (stmt_info
))
3604 else if (modifier
== NARROW
)
3605 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits_out
;
3607 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits_in
;
3609 /* Sanity check: make sure that at least one copy of the vectorized stmt
3610 needs to be generated. */
3611 gcc_assert (ncopies
>= 1);
3613 /* Supportable by target? */
3617 if (code
!= FIX_TRUNC_EXPR
&& code
!= FLOAT_EXPR
)
3619 if (supportable_convert_operation (code
, vectype_out
, vectype_in
,
3624 if (dump_enabled_p ())
3625 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
3626 "conversion not supported by target.\n");
3630 if (supportable_widening_operation (code
, stmt
, vectype_out
, vectype_in
,
3631 &code1
, &code2
, &multi_step_cvt
,
3634 /* Binary widening operation can only be supported directly by the
3636 gcc_assert (!(multi_step_cvt
&& op_type
== binary_op
));
3640 if (code
!= FLOAT_EXPR
3641 || (GET_MODE_SIZE (TYPE_MODE (lhs_type
))
3642 <= GET_MODE_SIZE (TYPE_MODE (rhs_type
))))
3645 rhs_mode
= TYPE_MODE (rhs_type
);
3646 fltsz
= GET_MODE_SIZE (TYPE_MODE (lhs_type
));
3647 for (rhs_mode
= GET_MODE_2XWIDER_MODE (TYPE_MODE (rhs_type
));
3648 rhs_mode
!= VOIDmode
&& GET_MODE_SIZE (rhs_mode
) <= fltsz
;
3649 rhs_mode
= GET_MODE_2XWIDER_MODE (rhs_mode
))
3652 = build_nonstandard_integer_type (GET_MODE_BITSIZE (rhs_mode
), 0);
3653 cvt_type
= get_same_sized_vectype (cvt_type
, vectype_in
);
3654 if (cvt_type
== NULL_TREE
)
3657 if (GET_MODE_SIZE (rhs_mode
) == fltsz
)
3659 if (!supportable_convert_operation (code
, vectype_out
,
3660 cvt_type
, &decl1
, &codecvt1
))
3663 else if (!supportable_widening_operation (code
, stmt
, vectype_out
,
3664 cvt_type
, &codecvt1
,
3665 &codecvt2
, &multi_step_cvt
,
3669 gcc_assert (multi_step_cvt
== 0);
3671 if (supportable_widening_operation (NOP_EXPR
, stmt
, cvt_type
,
3672 vectype_in
, &code1
, &code2
,
3673 &multi_step_cvt
, &interm_types
))
3677 if (rhs_mode
== VOIDmode
|| GET_MODE_SIZE (rhs_mode
) > fltsz
)
3680 if (GET_MODE_SIZE (rhs_mode
) == fltsz
)
3681 codecvt2
= ERROR_MARK
;
3685 interm_types
.safe_push (cvt_type
);
3686 cvt_type
= NULL_TREE
;
3691 gcc_assert (op_type
== unary_op
);
3692 if (supportable_narrowing_operation (code
, vectype_out
, vectype_in
,
3693 &code1
, &multi_step_cvt
,
3697 if (code
!= FIX_TRUNC_EXPR
3698 || (GET_MODE_SIZE (TYPE_MODE (lhs_type
))
3699 >= GET_MODE_SIZE (TYPE_MODE (rhs_type
))))
3702 rhs_mode
= TYPE_MODE (rhs_type
);
3704 = build_nonstandard_integer_type (GET_MODE_BITSIZE (rhs_mode
), 0);
3705 cvt_type
= get_same_sized_vectype (cvt_type
, vectype_in
);
3706 if (cvt_type
== NULL_TREE
)
3708 if (!supportable_convert_operation (code
, cvt_type
, vectype_in
,
3711 if (supportable_narrowing_operation (NOP_EXPR
, vectype_out
, cvt_type
,
3712 &code1
, &multi_step_cvt
,
3721 if (!vec_stmt
) /* transformation not required. */
3723 if (dump_enabled_p ())
3724 dump_printf_loc (MSG_NOTE
, vect_location
,
3725 "=== vectorizable_conversion ===\n");
3726 if (code
== FIX_TRUNC_EXPR
|| code
== FLOAT_EXPR
)
3728 STMT_VINFO_TYPE (stmt_info
) = type_conversion_vec_info_type
;
3729 vect_model_simple_cost (stmt_info
, ncopies
, dt
, NULL
, NULL
);
3731 else if (modifier
== NARROW
)
3733 STMT_VINFO_TYPE (stmt_info
) = type_demotion_vec_info_type
;
3734 vect_model_promotion_demotion_cost (stmt_info
, dt
, multi_step_cvt
);
3738 STMT_VINFO_TYPE (stmt_info
) = type_promotion_vec_info_type
;
3739 vect_model_promotion_demotion_cost (stmt_info
, dt
, multi_step_cvt
);
3741 interm_types
.release ();
3746 if (dump_enabled_p ())
3747 dump_printf_loc (MSG_NOTE
, vect_location
,
3748 "transform conversion. ncopies = %d.\n", ncopies
);
3750 if (op_type
== binary_op
)
3752 if (CONSTANT_CLASS_P (op0
))
3753 op0
= fold_convert (TREE_TYPE (op1
), op0
);
3754 else if (CONSTANT_CLASS_P (op1
))
3755 op1
= fold_convert (TREE_TYPE (op0
), op1
);
3758 /* In case of multi-step conversion, we first generate conversion operations
3759 to the intermediate types, and then from that types to the final one.
3760 We create vector destinations for the intermediate type (TYPES) received
3761 from supportable_*_operation, and store them in the correct order
3762 for future use in vect_create_vectorized_*_stmts (). */
3763 vec_dsts
.create (multi_step_cvt
+ 1);
3764 vec_dest
= vect_create_destination_var (scalar_dest
,
3765 (cvt_type
&& modifier
== WIDEN
)
3766 ? cvt_type
: vectype_out
);
3767 vec_dsts
.quick_push (vec_dest
);
3771 for (i
= interm_types
.length () - 1;
3772 interm_types
.iterate (i
, &intermediate_type
); i
--)
3774 vec_dest
= vect_create_destination_var (scalar_dest
,
3776 vec_dsts
.quick_push (vec_dest
);
3781 vec_dest
= vect_create_destination_var (scalar_dest
,
3783 ? vectype_out
: cvt_type
);
3787 if (modifier
== WIDEN
)
3789 vec_oprnds0
.create (multi_step_cvt
? vect_pow2 (multi_step_cvt
) : 1);
3790 if (op_type
== binary_op
)
3791 vec_oprnds1
.create (1);
3793 else if (modifier
== NARROW
)
3794 vec_oprnds0
.create (
3795 2 * (multi_step_cvt
? vect_pow2 (multi_step_cvt
) : 1));
3797 else if (code
== WIDEN_LSHIFT_EXPR
)
3798 vec_oprnds1
.create (slp_node
->vec_stmts_size
);
3801 prev_stmt_info
= NULL
;
3805 for (j
= 0; j
< ncopies
; j
++)
3808 vect_get_vec_defs (op0
, NULL
, stmt
, &vec_oprnds0
, NULL
, slp_node
,
3811 vect_get_vec_defs_for_stmt_copy (dt
, &vec_oprnds0
, NULL
);
3813 FOR_EACH_VEC_ELT (vec_oprnds0
, i
, vop0
)
3815 /* Arguments are ready, create the new vector stmt. */
3816 if (code1
== CALL_EXPR
)
3818 new_stmt
= gimple_build_call (decl1
, 1, vop0
);
3819 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
3820 gimple_call_set_lhs (new_stmt
, new_temp
);
3824 gcc_assert (TREE_CODE_LENGTH (code1
) == unary_op
);
3825 new_stmt
= gimple_build_assign (vec_dest
, code1
, vop0
);
3826 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
3827 gimple_assign_set_lhs (new_stmt
, new_temp
);
3830 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3832 SLP_TREE_VEC_STMTS (slp_node
).quick_push (new_stmt
);
3836 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
3838 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
3839 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
3844 /* In case the vectorization factor (VF) is bigger than the number
3845 of elements that we can fit in a vectype (nunits), we have to
3846 generate more than one vector stmt - i.e - we need to "unroll"
3847 the vector stmt by a factor VF/nunits. */
3848 for (j
= 0; j
< ncopies
; j
++)
3855 if (code
== WIDEN_LSHIFT_EXPR
)
3860 /* Store vec_oprnd1 for every vector stmt to be created
3861 for SLP_NODE. We check during the analysis that all
3862 the shift arguments are the same. */
3863 for (k
= 0; k
< slp_node
->vec_stmts_size
- 1; k
++)
3864 vec_oprnds1
.quick_push (vec_oprnd1
);
3866 vect_get_vec_defs (op0
, NULL_TREE
, stmt
, &vec_oprnds0
, NULL
,
3870 vect_get_vec_defs (op0
, op1
, stmt
, &vec_oprnds0
,
3871 &vec_oprnds1
, slp_node
, -1);
3875 vec_oprnd0
= vect_get_vec_def_for_operand (op0
, stmt
, NULL
);
3876 vec_oprnds0
.quick_push (vec_oprnd0
);
3877 if (op_type
== binary_op
)
3879 if (code
== WIDEN_LSHIFT_EXPR
)
3882 vec_oprnd1
= vect_get_vec_def_for_operand (op1
, stmt
,
3884 vec_oprnds1
.quick_push (vec_oprnd1
);
3890 vec_oprnd0
= vect_get_vec_def_for_stmt_copy (dt
[0], vec_oprnd0
);
3891 vec_oprnds0
.truncate (0);
3892 vec_oprnds0
.quick_push (vec_oprnd0
);
3893 if (op_type
== binary_op
)
3895 if (code
== WIDEN_LSHIFT_EXPR
)
3898 vec_oprnd1
= vect_get_vec_def_for_stmt_copy (dt
[1],
3900 vec_oprnds1
.truncate (0);
3901 vec_oprnds1
.quick_push (vec_oprnd1
);
3905 /* Arguments are ready. Create the new vector stmts. */
3906 for (i
= multi_step_cvt
; i
>= 0; i
--)
3908 tree this_dest
= vec_dsts
[i
];
3909 enum tree_code c1
= code1
, c2
= code2
;
3910 if (i
== 0 && codecvt2
!= ERROR_MARK
)
3915 vect_create_vectorized_promotion_stmts (&vec_oprnds0
,
3917 stmt
, this_dest
, gsi
,
3918 c1
, c2
, decl1
, decl2
,
3922 FOR_EACH_VEC_ELT (vec_oprnds0
, i
, vop0
)
3926 if (codecvt1
== CALL_EXPR
)
3928 new_stmt
= gimple_build_call (decl1
, 1, vop0
);
3929 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
3930 gimple_call_set_lhs (new_stmt
, new_temp
);
3934 gcc_assert (TREE_CODE_LENGTH (codecvt1
) == unary_op
);
3935 new_temp
= make_ssa_name (vec_dest
);
3936 new_stmt
= gimple_build_assign (new_temp
, codecvt1
,
3940 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3943 new_stmt
= SSA_NAME_DEF_STMT (vop0
);
3946 SLP_TREE_VEC_STMTS (slp_node
).quick_push (new_stmt
);
3949 if (!prev_stmt_info
)
3950 STMT_VINFO_VEC_STMT (stmt_info
) = new_stmt
;
3952 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
3953 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
3958 *vec_stmt
= STMT_VINFO_VEC_STMT (stmt_info
);
3962 /* In case the vectorization factor (VF) is bigger than the number
3963 of elements that we can fit in a vectype (nunits), we have to
3964 generate more than one vector stmt - i.e - we need to "unroll"
3965 the vector stmt by a factor VF/nunits. */
3966 for (j
= 0; j
< ncopies
; j
++)
3970 vect_get_vec_defs (op0
, NULL_TREE
, stmt
, &vec_oprnds0
, NULL
,
3974 vec_oprnds0
.truncate (0);
3975 vect_get_loop_based_defs (&last_oprnd
, stmt
, dt
[0], &vec_oprnds0
,
3976 vect_pow2 (multi_step_cvt
) - 1);
3979 /* Arguments are ready. Create the new vector stmts. */
3981 FOR_EACH_VEC_ELT (vec_oprnds0
, i
, vop0
)
3983 if (codecvt1
== CALL_EXPR
)
3985 new_stmt
= gimple_build_call (decl1
, 1, vop0
);
3986 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
3987 gimple_call_set_lhs (new_stmt
, new_temp
);
3991 gcc_assert (TREE_CODE_LENGTH (codecvt1
) == unary_op
);
3992 new_temp
= make_ssa_name (vec_dest
);
3993 new_stmt
= gimple_build_assign (new_temp
, codecvt1
,
3997 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
3998 vec_oprnds0
[i
] = new_temp
;
4001 vect_create_vectorized_demotion_stmts (&vec_oprnds0
, multi_step_cvt
,
4002 stmt
, vec_dsts
, gsi
,
4007 *vec_stmt
= STMT_VINFO_VEC_STMT (stmt_info
);
4011 vec_oprnds0
.release ();
4012 vec_oprnds1
.release ();
4013 vec_dsts
.release ();
4014 interm_types
.release ();
4020 /* Function vectorizable_assignment.
4022 Check if STMT performs an assignment (copy) that can be vectorized.
4023 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4024 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4025 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
4028 vectorizable_assignment (gimple stmt
, gimple_stmt_iterator
*gsi
,
4029 gimple
*vec_stmt
, slp_tree slp_node
)
4034 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
4035 tree vectype
= STMT_VINFO_VECTYPE (stmt_info
);
4036 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
4040 enum vect_def_type dt
[2] = {vect_unknown_def_type
, vect_unknown_def_type
};
4041 unsigned int nunits
= TYPE_VECTOR_SUBPARTS (vectype
);
4044 vec
<tree
> vec_oprnds
= vNULL
;
4046 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
4047 gimple new_stmt
= NULL
;
4048 stmt_vec_info prev_stmt_info
= NULL
;
4049 enum tree_code code
;
4052 /* Multiple types in SLP are handled by creating the appropriate number of
4053 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
4055 if (slp_node
|| PURE_SLP_STMT (stmt_info
))
4058 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits
;
4060 gcc_assert (ncopies
>= 1);
4062 if (!STMT_VINFO_RELEVANT_P (stmt_info
) && !bb_vinfo
)
4065 if (STMT_VINFO_DEF_TYPE (stmt_info
) != vect_internal_def
)
4068 /* Is vectorizable assignment? */
4069 if (!is_gimple_assign (stmt
))
4072 scalar_dest
= gimple_assign_lhs (stmt
);
4073 if (TREE_CODE (scalar_dest
) != SSA_NAME
)
4076 code
= gimple_assign_rhs_code (stmt
);
4077 if (gimple_assign_single_p (stmt
)
4078 || code
== PAREN_EXPR
4079 || CONVERT_EXPR_CODE_P (code
))
4080 op
= gimple_assign_rhs1 (stmt
);
4084 if (code
== VIEW_CONVERT_EXPR
)
4085 op
= TREE_OPERAND (op
, 0);
4087 if (!vect_is_simple_use_1 (op
, stmt
, loop_vinfo
, bb_vinfo
,
4088 &def_stmt
, &def
, &dt
[0], &vectype_in
))
4090 if (dump_enabled_p ())
4091 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4092 "use not simple.\n");
4096 /* We can handle NOP_EXPR conversions that do not change the number
4097 of elements or the vector size. */
4098 if ((CONVERT_EXPR_CODE_P (code
)
4099 || code
== VIEW_CONVERT_EXPR
)
4101 || TYPE_VECTOR_SUBPARTS (vectype_in
) != nunits
4102 || (GET_MODE_SIZE (TYPE_MODE (vectype
))
4103 != GET_MODE_SIZE (TYPE_MODE (vectype_in
)))))
4106 /* We do not handle bit-precision changes. */
4107 if ((CONVERT_EXPR_CODE_P (code
)
4108 || code
== VIEW_CONVERT_EXPR
)
4109 && INTEGRAL_TYPE_P (TREE_TYPE (scalar_dest
))
4110 && ((TYPE_PRECISION (TREE_TYPE (scalar_dest
))
4111 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (scalar_dest
))))
4112 || ((TYPE_PRECISION (TREE_TYPE (op
))
4113 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (op
))))))
4114 /* But a conversion that does not change the bit-pattern is ok. */
4115 && !((TYPE_PRECISION (TREE_TYPE (scalar_dest
))
4116 > TYPE_PRECISION (TREE_TYPE (op
)))
4117 && TYPE_UNSIGNED (TREE_TYPE (op
))))
4119 if (dump_enabled_p ())
4120 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4121 "type conversion to/from bit-precision "
4126 if (!vec_stmt
) /* transformation not required. */
4128 STMT_VINFO_TYPE (stmt_info
) = assignment_vec_info_type
;
4129 if (dump_enabled_p ())
4130 dump_printf_loc (MSG_NOTE
, vect_location
,
4131 "=== vectorizable_assignment ===\n");
4132 vect_model_simple_cost (stmt_info
, ncopies
, dt
, NULL
, NULL
);
4137 if (dump_enabled_p ())
4138 dump_printf_loc (MSG_NOTE
, vect_location
, "transform assignment.\n");
4141 vec_dest
= vect_create_destination_var (scalar_dest
, vectype
);
4144 for (j
= 0; j
< ncopies
; j
++)
4148 vect_get_vec_defs (op
, NULL
, stmt
, &vec_oprnds
, NULL
, slp_node
, -1);
4150 vect_get_vec_defs_for_stmt_copy (dt
, &vec_oprnds
, NULL
);
4152 /* Arguments are ready. create the new vector stmt. */
4153 FOR_EACH_VEC_ELT (vec_oprnds
, i
, vop
)
4155 if (CONVERT_EXPR_CODE_P (code
)
4156 || code
== VIEW_CONVERT_EXPR
)
4157 vop
= build1 (VIEW_CONVERT_EXPR
, vectype
, vop
);
4158 new_stmt
= gimple_build_assign (vec_dest
, vop
);
4159 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
4160 gimple_assign_set_lhs (new_stmt
, new_temp
);
4161 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
4163 SLP_TREE_VEC_STMTS (slp_node
).quick_push (new_stmt
);
4170 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
4172 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
4174 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
4177 vec_oprnds
.release ();
4182 /* Return TRUE if CODE (a shift operation) is supported for SCALAR_TYPE
4183 either as shift by a scalar or by a vector. */
4186 vect_supportable_shift (enum tree_code code
, tree scalar_type
)
4189 machine_mode vec_mode
;
4194 vectype
= get_vectype_for_scalar_type (scalar_type
);
4198 optab
= optab_for_tree_code (code
, vectype
, optab_scalar
);
4200 || optab_handler (optab
, TYPE_MODE (vectype
)) == CODE_FOR_nothing
)
4202 optab
= optab_for_tree_code (code
, vectype
, optab_vector
);
4204 || (optab_handler (optab
, TYPE_MODE (vectype
))
4205 == CODE_FOR_nothing
))
4209 vec_mode
= TYPE_MODE (vectype
);
4210 icode
= (int) optab_handler (optab
, vec_mode
);
4211 if (icode
== CODE_FOR_nothing
)
4218 /* Function vectorizable_shift.
4220 Check if STMT performs a shift operation that can be vectorized.
4221 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4222 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4223 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
4226 vectorizable_shift (gimple stmt
, gimple_stmt_iterator
*gsi
,
4227 gimple
*vec_stmt
, slp_tree slp_node
)
4231 tree op0
, op1
= NULL
;
4232 tree vec_oprnd1
= NULL_TREE
;
4233 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
4235 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
4236 enum tree_code code
;
4237 machine_mode vec_mode
;
4241 machine_mode optab_op2_mode
;
4244 enum vect_def_type dt
[2] = {vect_unknown_def_type
, vect_unknown_def_type
};
4245 gimple new_stmt
= NULL
;
4246 stmt_vec_info prev_stmt_info
;
4253 vec
<tree
> vec_oprnds0
= vNULL
;
4254 vec
<tree
> vec_oprnds1
= vNULL
;
4257 bool scalar_shift_arg
= true;
4258 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
4261 if (!STMT_VINFO_RELEVANT_P (stmt_info
) && !bb_vinfo
)
4264 if (STMT_VINFO_DEF_TYPE (stmt_info
) != vect_internal_def
)
4267 /* Is STMT a vectorizable binary/unary operation? */
4268 if (!is_gimple_assign (stmt
))
4271 if (TREE_CODE (gimple_assign_lhs (stmt
)) != SSA_NAME
)
4274 code
= gimple_assign_rhs_code (stmt
);
4276 if (!(code
== LSHIFT_EXPR
|| code
== RSHIFT_EXPR
|| code
== LROTATE_EXPR
4277 || code
== RROTATE_EXPR
))
4280 scalar_dest
= gimple_assign_lhs (stmt
);
4281 vectype_out
= STMT_VINFO_VECTYPE (stmt_info
);
4282 if (TYPE_PRECISION (TREE_TYPE (scalar_dest
))
4283 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (scalar_dest
))))
4285 if (dump_enabled_p ())
4286 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4287 "bit-precision shifts not supported.\n");
4291 op0
= gimple_assign_rhs1 (stmt
);
4292 if (!vect_is_simple_use_1 (op0
, stmt
, loop_vinfo
, bb_vinfo
,
4293 &def_stmt
, &def
, &dt
[0], &vectype
))
4295 if (dump_enabled_p ())
4296 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4297 "use not simple.\n");
4300 /* If op0 is an external or constant def use a vector type with
4301 the same size as the output vector type. */
4303 vectype
= get_same_sized_vectype (TREE_TYPE (op0
), vectype_out
);
4305 gcc_assert (vectype
);
4308 if (dump_enabled_p ())
4309 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4310 "no vectype for scalar type\n");
4314 nunits_out
= TYPE_VECTOR_SUBPARTS (vectype_out
);
4315 nunits_in
= TYPE_VECTOR_SUBPARTS (vectype
);
4316 if (nunits_out
!= nunits_in
)
4319 op1
= gimple_assign_rhs2 (stmt
);
4320 if (!vect_is_simple_use_1 (op1
, stmt
, loop_vinfo
, bb_vinfo
, &def_stmt
,
4321 &def
, &dt
[1], &op1_vectype
))
4323 if (dump_enabled_p ())
4324 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4325 "use not simple.\n");
4330 vf
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
);
4334 /* Multiple types in SLP are handled by creating the appropriate number of
4335 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
4337 if (slp_node
|| PURE_SLP_STMT (stmt_info
))
4340 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits_in
;
4342 gcc_assert (ncopies
>= 1);
4344 /* Determine whether the shift amount is a vector, or scalar. If the
4345 shift/rotate amount is a vector, use the vector/vector shift optabs. */
4347 if (dt
[1] == vect_internal_def
&& !slp_node
)
4348 scalar_shift_arg
= false;
4349 else if (dt
[1] == vect_constant_def
4350 || dt
[1] == vect_external_def
4351 || dt
[1] == vect_internal_def
)
4353 /* In SLP, need to check whether the shift count is the same,
4354 in loops if it is a constant or invariant, it is always
4358 vec
<gimple
> stmts
= SLP_TREE_SCALAR_STMTS (slp_node
);
4361 FOR_EACH_VEC_ELT (stmts
, k
, slpstmt
)
4362 if (!operand_equal_p (gimple_assign_rhs2 (slpstmt
), op1
, 0))
4363 scalar_shift_arg
= false;
4368 if (dump_enabled_p ())
4369 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4370 "operand mode requires invariant argument.\n");
4374 /* Vector shifted by vector. */
4375 if (!scalar_shift_arg
)
4377 optab
= optab_for_tree_code (code
, vectype
, optab_vector
);
4378 if (dump_enabled_p ())
4379 dump_printf_loc (MSG_NOTE
, vect_location
,
4380 "vector/vector shift/rotate found.\n");
4383 op1_vectype
= get_same_sized_vectype (TREE_TYPE (op1
), vectype_out
);
4384 if (op1_vectype
== NULL_TREE
4385 || TYPE_MODE (op1_vectype
) != TYPE_MODE (vectype
))
4387 if (dump_enabled_p ())
4388 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4389 "unusable type for last operand in"
4390 " vector/vector shift/rotate.\n");
4394 /* See if the machine has a vector shifted by scalar insn and if not
4395 then see if it has a vector shifted by vector insn. */
4398 optab
= optab_for_tree_code (code
, vectype
, optab_scalar
);
4400 && optab_handler (optab
, TYPE_MODE (vectype
)) != CODE_FOR_nothing
)
4402 if (dump_enabled_p ())
4403 dump_printf_loc (MSG_NOTE
, vect_location
,
4404 "vector/scalar shift/rotate found.\n");
4408 optab
= optab_for_tree_code (code
, vectype
, optab_vector
);
4410 && (optab_handler (optab
, TYPE_MODE (vectype
))
4411 != CODE_FOR_nothing
))
4413 scalar_shift_arg
= false;
4415 if (dump_enabled_p ())
4416 dump_printf_loc (MSG_NOTE
, vect_location
,
4417 "vector/vector shift/rotate found.\n");
4419 /* Unlike the other binary operators, shifts/rotates have
4420 the rhs being int, instead of the same type as the lhs,
4421 so make sure the scalar is the right type if we are
4422 dealing with vectors of long long/long/short/char. */
4423 if (dt
[1] == vect_constant_def
)
4424 op1
= fold_convert (TREE_TYPE (vectype
), op1
);
4425 else if (!useless_type_conversion_p (TREE_TYPE (vectype
),
4429 && TYPE_MODE (TREE_TYPE (vectype
))
4430 != TYPE_MODE (TREE_TYPE (op1
)))
4432 if (dump_enabled_p ())
4433 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4434 "unusable type for last operand in"
4435 " vector/vector shift/rotate.\n");
4438 if (vec_stmt
&& !slp_node
)
4440 op1
= fold_convert (TREE_TYPE (vectype
), op1
);
4441 op1
= vect_init_vector (stmt
, op1
,
4442 TREE_TYPE (vectype
), NULL
);
4449 /* Supportable by target? */
4452 if (dump_enabled_p ())
4453 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4457 vec_mode
= TYPE_MODE (vectype
);
4458 icode
= (int) optab_handler (optab
, vec_mode
);
4459 if (icode
== CODE_FOR_nothing
)
4461 if (dump_enabled_p ())
4462 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4463 "op not supported by target.\n");
4464 /* Check only during analysis. */
4465 if (GET_MODE_SIZE (vec_mode
) != UNITS_PER_WORD
4466 || (vf
< vect_min_worthwhile_factor (code
)
4469 if (dump_enabled_p ())
4470 dump_printf_loc (MSG_NOTE
, vect_location
,
4471 "proceeding using word mode.\n");
4474 /* Worthwhile without SIMD support? Check only during analysis. */
4475 if (!VECTOR_MODE_P (TYPE_MODE (vectype
))
4476 && vf
< vect_min_worthwhile_factor (code
)
4479 if (dump_enabled_p ())
4480 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4481 "not worthwhile without SIMD support.\n");
4485 if (!vec_stmt
) /* transformation not required. */
4487 STMT_VINFO_TYPE (stmt_info
) = shift_vec_info_type
;
4488 if (dump_enabled_p ())
4489 dump_printf_loc (MSG_NOTE
, vect_location
,
4490 "=== vectorizable_shift ===\n");
4491 vect_model_simple_cost (stmt_info
, ncopies
, dt
, NULL
, NULL
);
4497 if (dump_enabled_p ())
4498 dump_printf_loc (MSG_NOTE
, vect_location
,
4499 "transform binary/unary operation.\n");
4502 vec_dest
= vect_create_destination_var (scalar_dest
, vectype
);
4504 prev_stmt_info
= NULL
;
4505 for (j
= 0; j
< ncopies
; j
++)
4510 if (scalar_shift_arg
)
4512 /* Vector shl and shr insn patterns can be defined with scalar
4513 operand 2 (shift operand). In this case, use constant or loop
4514 invariant op1 directly, without extending it to vector mode
4516 optab_op2_mode
= insn_data
[icode
].operand
[2].mode
;
4517 if (!VECTOR_MODE_P (optab_op2_mode
))
4519 if (dump_enabled_p ())
4520 dump_printf_loc (MSG_NOTE
, vect_location
,
4521 "operand 1 using scalar mode.\n");
4523 vec_oprnds1
.create (slp_node
? slp_node
->vec_stmts_size
: 1);
4524 vec_oprnds1
.quick_push (vec_oprnd1
);
4527 /* Store vec_oprnd1 for every vector stmt to be created
4528 for SLP_NODE. We check during the analysis that all
4529 the shift arguments are the same.
4530 TODO: Allow different constants for different vector
4531 stmts generated for an SLP instance. */
4532 for (k
= 0; k
< slp_node
->vec_stmts_size
- 1; k
++)
4533 vec_oprnds1
.quick_push (vec_oprnd1
);
4538 /* vec_oprnd1 is available if operand 1 should be of a scalar-type
4539 (a special case for certain kind of vector shifts); otherwise,
4540 operand 1 should be of a vector type (the usual case). */
4542 vect_get_vec_defs (op0
, NULL_TREE
, stmt
, &vec_oprnds0
, NULL
,
4545 vect_get_vec_defs (op0
, op1
, stmt
, &vec_oprnds0
, &vec_oprnds1
,
4549 vect_get_vec_defs_for_stmt_copy (dt
, &vec_oprnds0
, &vec_oprnds1
);
4551 /* Arguments are ready. Create the new vector stmt. */
4552 FOR_EACH_VEC_ELT (vec_oprnds0
, i
, vop0
)
4554 vop1
= vec_oprnds1
[i
];
4555 new_stmt
= gimple_build_assign (vec_dest
, code
, vop0
, vop1
);
4556 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
4557 gimple_assign_set_lhs (new_stmt
, new_temp
);
4558 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
4560 SLP_TREE_VEC_STMTS (slp_node
).quick_push (new_stmt
);
4567 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
4569 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
4570 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
4573 vec_oprnds0
.release ();
4574 vec_oprnds1
.release ();
4580 /* Function vectorizable_operation.
4582 Check if STMT performs a binary, unary or ternary operation that can
4584 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4585 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4586 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
4589 vectorizable_operation (gimple stmt
, gimple_stmt_iterator
*gsi
,
4590 gimple
*vec_stmt
, slp_tree slp_node
)
4594 tree op0
, op1
= NULL_TREE
, op2
= NULL_TREE
;
4595 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
4597 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
4598 enum tree_code code
;
4599 machine_mode vec_mode
;
4606 enum vect_def_type dt
[3]
4607 = {vect_unknown_def_type
, vect_unknown_def_type
, vect_unknown_def_type
};
4608 gimple new_stmt
= NULL
;
4609 stmt_vec_info prev_stmt_info
;
4615 vec
<tree
> vec_oprnds0
= vNULL
;
4616 vec
<tree
> vec_oprnds1
= vNULL
;
4617 vec
<tree
> vec_oprnds2
= vNULL
;
4618 tree vop0
, vop1
, vop2
;
4619 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
4622 if (!STMT_VINFO_RELEVANT_P (stmt_info
) && !bb_vinfo
)
4625 if (STMT_VINFO_DEF_TYPE (stmt_info
) != vect_internal_def
)
4628 /* Is STMT a vectorizable binary/unary operation? */
4629 if (!is_gimple_assign (stmt
))
4632 if (TREE_CODE (gimple_assign_lhs (stmt
)) != SSA_NAME
)
4635 code
= gimple_assign_rhs_code (stmt
);
4637 /* For pointer addition, we should use the normal plus for
4638 the vector addition. */
4639 if (code
== POINTER_PLUS_EXPR
)
4642 /* Support only unary or binary operations. */
4643 op_type
= TREE_CODE_LENGTH (code
);
4644 if (op_type
!= unary_op
&& op_type
!= binary_op
&& op_type
!= ternary_op
)
4646 if (dump_enabled_p ())
4647 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4648 "num. args = %d (not unary/binary/ternary op).\n",
4653 scalar_dest
= gimple_assign_lhs (stmt
);
4654 vectype_out
= STMT_VINFO_VECTYPE (stmt_info
);
4656 /* Most operations cannot handle bit-precision types without extra
4658 if ((TYPE_PRECISION (TREE_TYPE (scalar_dest
))
4659 != GET_MODE_PRECISION (TYPE_MODE (TREE_TYPE (scalar_dest
))))
4660 /* Exception are bitwise binary operations. */
4661 && code
!= BIT_IOR_EXPR
4662 && code
!= BIT_XOR_EXPR
4663 && code
!= BIT_AND_EXPR
)
4665 if (dump_enabled_p ())
4666 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4667 "bit-precision arithmetic not supported.\n");
4671 op0
= gimple_assign_rhs1 (stmt
);
4672 if (!vect_is_simple_use_1 (op0
, stmt
, loop_vinfo
, bb_vinfo
,
4673 &def_stmt
, &def
, &dt
[0], &vectype
))
4675 if (dump_enabled_p ())
4676 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4677 "use not simple.\n");
4680 /* If op0 is an external or constant def use a vector type with
4681 the same size as the output vector type. */
4683 vectype
= get_same_sized_vectype (TREE_TYPE (op0
), vectype_out
);
4685 gcc_assert (vectype
);
4688 if (dump_enabled_p ())
4690 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4691 "no vectype for scalar type ");
4692 dump_generic_expr (MSG_MISSED_OPTIMIZATION
, TDF_SLIM
,
4694 dump_printf (MSG_MISSED_OPTIMIZATION
, "\n");
4700 nunits_out
= TYPE_VECTOR_SUBPARTS (vectype_out
);
4701 nunits_in
= TYPE_VECTOR_SUBPARTS (vectype
);
4702 if (nunits_out
!= nunits_in
)
4705 if (op_type
== binary_op
|| op_type
== ternary_op
)
4707 op1
= gimple_assign_rhs2 (stmt
);
4708 if (!vect_is_simple_use (op1
, stmt
, loop_vinfo
, bb_vinfo
, &def_stmt
,
4711 if (dump_enabled_p ())
4712 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4713 "use not simple.\n");
4717 if (op_type
== ternary_op
)
4719 op2
= gimple_assign_rhs3 (stmt
);
4720 if (!vect_is_simple_use (op2
, stmt
, loop_vinfo
, bb_vinfo
, &def_stmt
,
4723 if (dump_enabled_p ())
4724 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4725 "use not simple.\n");
4731 vf
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
);
4735 /* Multiple types in SLP are handled by creating the appropriate number of
4736 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
4738 if (slp_node
|| PURE_SLP_STMT (stmt_info
))
4741 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits_in
;
4743 gcc_assert (ncopies
>= 1);
4745 /* Shifts are handled in vectorizable_shift (). */
4746 if (code
== LSHIFT_EXPR
|| code
== RSHIFT_EXPR
|| code
== LROTATE_EXPR
4747 || code
== RROTATE_EXPR
)
4750 /* Supportable by target? */
4752 vec_mode
= TYPE_MODE (vectype
);
4753 if (code
== MULT_HIGHPART_EXPR
)
4755 if (can_mult_highpart_p (vec_mode
, TYPE_UNSIGNED (vectype
)))
4756 icode
= LAST_INSN_CODE
;
4758 icode
= CODE_FOR_nothing
;
4762 optab
= optab_for_tree_code (code
, vectype
, optab_default
);
4765 if (dump_enabled_p ())
4766 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4770 icode
= (int) optab_handler (optab
, vec_mode
);
4773 if (icode
== CODE_FOR_nothing
)
4775 if (dump_enabled_p ())
4776 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4777 "op not supported by target.\n");
4778 /* Check only during analysis. */
4779 if (GET_MODE_SIZE (vec_mode
) != UNITS_PER_WORD
4780 || (!vec_stmt
&& vf
< vect_min_worthwhile_factor (code
)))
4782 if (dump_enabled_p ())
4783 dump_printf_loc (MSG_NOTE
, vect_location
,
4784 "proceeding using word mode.\n");
4787 /* Worthwhile without SIMD support? Check only during analysis. */
4788 if (!VECTOR_MODE_P (vec_mode
)
4790 && vf
< vect_min_worthwhile_factor (code
))
4792 if (dump_enabled_p ())
4793 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
4794 "not worthwhile without SIMD support.\n");
4798 if (!vec_stmt
) /* transformation not required. */
4800 STMT_VINFO_TYPE (stmt_info
) = op_vec_info_type
;
4801 if (dump_enabled_p ())
4802 dump_printf_loc (MSG_NOTE
, vect_location
,
4803 "=== vectorizable_operation ===\n");
4804 vect_model_simple_cost (stmt_info
, ncopies
, dt
, NULL
, NULL
);
4810 if (dump_enabled_p ())
4811 dump_printf_loc (MSG_NOTE
, vect_location
,
4812 "transform binary/unary operation.\n");
4815 vec_dest
= vect_create_destination_var (scalar_dest
, vectype
);
4817 /* In case the vectorization factor (VF) is bigger than the number
4818 of elements that we can fit in a vectype (nunits), we have to generate
4819 more than one vector stmt - i.e - we need to "unroll" the
4820 vector stmt by a factor VF/nunits. In doing so, we record a pointer
4821 from one copy of the vector stmt to the next, in the field
4822 STMT_VINFO_RELATED_STMT. This is necessary in order to allow following
4823 stages to find the correct vector defs to be used when vectorizing
4824 stmts that use the defs of the current stmt. The example below
4825 illustrates the vectorization process when VF=16 and nunits=4 (i.e.,
4826 we need to create 4 vectorized stmts):
4828 before vectorization:
4829 RELATED_STMT VEC_STMT
4833 step 1: vectorize stmt S1 (done in vectorizable_load. See more details
4835 RELATED_STMT VEC_STMT
4836 VS1_0: vx0 = memref0 VS1_1 -
4837 VS1_1: vx1 = memref1 VS1_2 -
4838 VS1_2: vx2 = memref2 VS1_3 -
4839 VS1_3: vx3 = memref3 - -
4840 S1: x = load - VS1_0
4843 step2: vectorize stmt S2 (done here):
4844 To vectorize stmt S2 we first need to find the relevant vector
4845 def for the first operand 'x'. This is, as usual, obtained from
4846 the vector stmt recorded in the STMT_VINFO_VEC_STMT of the stmt
4847 that defines 'x' (S1). This way we find the stmt VS1_0, and the
4848 relevant vector def 'vx0'. Having found 'vx0' we can generate
4849 the vector stmt VS2_0, and as usual, record it in the
4850 STMT_VINFO_VEC_STMT of stmt S2.
4851 When creating the second copy (VS2_1), we obtain the relevant vector
4852 def from the vector stmt recorded in the STMT_VINFO_RELATED_STMT of
4853 stmt VS1_0. This way we find the stmt VS1_1 and the relevant
4854 vector def 'vx1'. Using 'vx1' we create stmt VS2_1 and record a
4855 pointer to it in the STMT_VINFO_RELATED_STMT of the vector stmt VS2_0.
4856 Similarly when creating stmts VS2_2 and VS2_3. This is the resulting
4857 chain of stmts and pointers:
4858 RELATED_STMT VEC_STMT
4859 VS1_0: vx0 = memref0 VS1_1 -
4860 VS1_1: vx1 = memref1 VS1_2 -
4861 VS1_2: vx2 = memref2 VS1_3 -
4862 VS1_3: vx3 = memref3 - -
4863 S1: x = load - VS1_0
4864 VS2_0: vz0 = vx0 + v1 VS2_1 -
4865 VS2_1: vz1 = vx1 + v1 VS2_2 -
4866 VS2_2: vz2 = vx2 + v1 VS2_3 -
4867 VS2_3: vz3 = vx3 + v1 - -
4868 S2: z = x + 1 - VS2_0 */
4870 prev_stmt_info
= NULL
;
4871 for (j
= 0; j
< ncopies
; j
++)
4876 if (op_type
== binary_op
|| op_type
== ternary_op
)
4877 vect_get_vec_defs (op0
, op1
, stmt
, &vec_oprnds0
, &vec_oprnds1
,
4880 vect_get_vec_defs (op0
, NULL_TREE
, stmt
, &vec_oprnds0
, NULL
,
4882 if (op_type
== ternary_op
)
4884 vec_oprnds2
.create (1);
4885 vec_oprnds2
.quick_push (vect_get_vec_def_for_operand (op2
,
4892 vect_get_vec_defs_for_stmt_copy (dt
, &vec_oprnds0
, &vec_oprnds1
);
4893 if (op_type
== ternary_op
)
4895 tree vec_oprnd
= vec_oprnds2
.pop ();
4896 vec_oprnds2
.quick_push (vect_get_vec_def_for_stmt_copy (dt
[2],
4901 /* Arguments are ready. Create the new vector stmt. */
4902 FOR_EACH_VEC_ELT (vec_oprnds0
, i
, vop0
)
4904 vop1
= ((op_type
== binary_op
|| op_type
== ternary_op
)
4905 ? vec_oprnds1
[i
] : NULL_TREE
);
4906 vop2
= ((op_type
== ternary_op
)
4907 ? vec_oprnds2
[i
] : NULL_TREE
);
4908 new_stmt
= gimple_build_assign (vec_dest
, code
, vop0
, vop1
, vop2
);
4909 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
4910 gimple_assign_set_lhs (new_stmt
, new_temp
);
4911 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
4913 SLP_TREE_VEC_STMTS (slp_node
).quick_push (new_stmt
);
4920 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
4922 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
4923 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
4926 vec_oprnds0
.release ();
4927 vec_oprnds1
.release ();
4928 vec_oprnds2
.release ();
4933 /* A helper function to ensure data reference DR's base alignment
4937 ensure_base_align (stmt_vec_info stmt_info
, struct data_reference
*dr
)
4942 if (((dataref_aux
*)dr
->aux
)->base_misaligned
)
4944 tree vectype
= STMT_VINFO_VECTYPE (stmt_info
);
4945 tree base_decl
= ((dataref_aux
*)dr
->aux
)->base_decl
;
4947 DECL_ALIGN (base_decl
) = TYPE_ALIGN (vectype
);
4948 DECL_USER_ALIGN (base_decl
) = 1;
4949 ((dataref_aux
*)dr
->aux
)->base_misaligned
= false;
4954 /* Given a vector type VECTYPE returns the VECTOR_CST mask that implements
4955 reversal of the vector elements. If that is impossible to do,
4959 perm_mask_for_reverse (tree vectype
)
4964 nunits
= TYPE_VECTOR_SUBPARTS (vectype
);
4965 sel
= XALLOCAVEC (unsigned char, nunits
);
4967 for (i
= 0; i
< nunits
; ++i
)
4968 sel
[i
] = nunits
- 1 - i
;
4970 if (!can_vec_perm_p (TYPE_MODE (vectype
), false, sel
))
4972 return vect_gen_perm_mask_checked (vectype
, sel
);
4975 /* Function vectorizable_store.
4977 Check if STMT defines a non scalar data-ref (array/pointer/structure) that
4979 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
4980 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
4981 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
4984 vectorizable_store (gimple stmt
, gimple_stmt_iterator
*gsi
, gimple
*vec_stmt
,
4990 tree vec_oprnd
= NULL_TREE
;
4991 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
4992 struct data_reference
*dr
= STMT_VINFO_DATA_REF (stmt_info
), *first_dr
= NULL
;
4993 tree vectype
= STMT_VINFO_VECTYPE (stmt_info
);
4995 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
4996 struct loop
*loop
= NULL
;
4997 machine_mode vec_mode
;
4999 enum dr_alignment_support alignment_support_scheme
;
5002 enum vect_def_type dt
;
5003 stmt_vec_info prev_stmt_info
= NULL
;
5004 tree dataref_ptr
= NULL_TREE
;
5005 tree dataref_offset
= NULL_TREE
;
5006 gimple ptr_incr
= NULL
;
5007 int nunits
= TYPE_VECTOR_SUBPARTS (vectype
);
5010 gimple next_stmt
, first_stmt
= NULL
;
5011 bool grouped_store
= false;
5012 bool store_lanes_p
= false;
5013 unsigned int group_size
, i
;
5014 vec
<tree
> dr_chain
= vNULL
;
5015 vec
<tree
> oprnds
= vNULL
;
5016 vec
<tree
> result_chain
= vNULL
;
5018 bool negative
= false;
5019 tree offset
= NULL_TREE
;
5020 vec
<tree
> vec_oprnds
= vNULL
;
5021 bool slp
= (slp_node
!= NULL
);
5022 unsigned int vec_num
;
5023 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
5027 loop
= LOOP_VINFO_LOOP (loop_vinfo
);
5029 /* Multiple types in SLP are handled by creating the appropriate number of
5030 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
5032 if (slp
|| PURE_SLP_STMT (stmt_info
))
5035 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits
;
5037 gcc_assert (ncopies
>= 1);
5039 /* FORNOW. This restriction should be relaxed. */
5040 if (loop
&& nested_in_vect_loop_p (loop
, stmt
) && ncopies
> 1)
5042 if (dump_enabled_p ())
5043 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5044 "multiple types in nested loop.\n");
5048 if (!STMT_VINFO_RELEVANT_P (stmt_info
) && !bb_vinfo
)
5051 if (STMT_VINFO_DEF_TYPE (stmt_info
) != vect_internal_def
)
5054 /* Is vectorizable store? */
5056 if (!is_gimple_assign (stmt
))
5059 scalar_dest
= gimple_assign_lhs (stmt
);
5060 if (TREE_CODE (scalar_dest
) == VIEW_CONVERT_EXPR
5061 && is_pattern_stmt_p (stmt_info
))
5062 scalar_dest
= TREE_OPERAND (scalar_dest
, 0);
5063 if (TREE_CODE (scalar_dest
) != ARRAY_REF
5064 && TREE_CODE (scalar_dest
) != BIT_FIELD_REF
5065 && TREE_CODE (scalar_dest
) != INDIRECT_REF
5066 && TREE_CODE (scalar_dest
) != COMPONENT_REF
5067 && TREE_CODE (scalar_dest
) != IMAGPART_EXPR
5068 && TREE_CODE (scalar_dest
) != REALPART_EXPR
5069 && TREE_CODE (scalar_dest
) != MEM_REF
)
5072 gcc_assert (gimple_assign_single_p (stmt
));
5073 op
= gimple_assign_rhs1 (stmt
);
5074 if (!vect_is_simple_use (op
, stmt
, loop_vinfo
, bb_vinfo
, &def_stmt
,
5077 if (dump_enabled_p ())
5078 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5079 "use not simple.\n");
5083 elem_type
= TREE_TYPE (vectype
);
5084 vec_mode
= TYPE_MODE (vectype
);
5086 /* FORNOW. In some cases can vectorize even if data-type not supported
5087 (e.g. - array initialization with 0). */
5088 if (optab_handler (mov_optab
, vec_mode
) == CODE_FOR_nothing
)
5091 if (!STMT_VINFO_DATA_REF (stmt_info
))
5095 tree_int_cst_compare (loop
&& nested_in_vect_loop_p (loop
, stmt
)
5096 ? STMT_VINFO_DR_STEP (stmt_info
) : DR_STEP (dr
),
5097 size_zero_node
) < 0;
5098 if (negative
&& ncopies
> 1)
5100 if (dump_enabled_p ())
5101 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5102 "multiple types with negative step.\n");
5108 gcc_assert (!grouped_store
);
5109 alignment_support_scheme
= vect_supportable_dr_alignment (dr
, false);
5110 if (alignment_support_scheme
!= dr_aligned
5111 && alignment_support_scheme
!= dr_unaligned_supported
)
5113 if (dump_enabled_p ())
5114 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5115 "negative step but alignment required.\n");
5118 if (dt
!= vect_constant_def
5119 && dt
!= vect_external_def
5120 && !perm_mask_for_reverse (vectype
))
5122 if (dump_enabled_p ())
5123 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5124 "negative step and reversing not supported.\n");
5129 if (STMT_VINFO_GROUPED_ACCESS (stmt_info
))
5131 grouped_store
= true;
5132 first_stmt
= GROUP_FIRST_ELEMENT (stmt_info
);
5133 if (!slp
&& !PURE_SLP_STMT (stmt_info
))
5135 group_size
= GROUP_SIZE (vinfo_for_stmt (first_stmt
));
5136 if (vect_store_lanes_supported (vectype
, group_size
))
5137 store_lanes_p
= true;
5138 else if (!vect_grouped_store_supported (vectype
, group_size
))
5142 if (first_stmt
== stmt
)
5144 /* STMT is the leader of the group. Check the operands of all the
5145 stmts of the group. */
5146 next_stmt
= GROUP_NEXT_ELEMENT (stmt_info
);
5149 gcc_assert (gimple_assign_single_p (next_stmt
));
5150 op
= gimple_assign_rhs1 (next_stmt
);
5151 if (!vect_is_simple_use (op
, next_stmt
, loop_vinfo
, bb_vinfo
,
5152 &def_stmt
, &def
, &dt
))
5154 if (dump_enabled_p ())
5155 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5156 "use not simple.\n");
5159 next_stmt
= GROUP_NEXT_ELEMENT (vinfo_for_stmt (next_stmt
));
5164 if (!vec_stmt
) /* transformation not required. */
5166 STMT_VINFO_TYPE (stmt_info
) = store_vec_info_type
;
5167 vect_model_store_cost (stmt_info
, ncopies
, store_lanes_p
, dt
,
5174 ensure_base_align (stmt_info
, dr
);
5178 first_dr
= STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt
));
5179 group_size
= GROUP_SIZE (vinfo_for_stmt (first_stmt
));
5181 GROUP_STORE_COUNT (vinfo_for_stmt (first_stmt
))++;
5184 gcc_assert (!loop
|| !nested_in_vect_loop_p (loop
, stmt
));
5186 /* We vectorize all the stmts of the interleaving group when we
5187 reach the last stmt in the group. */
5188 if (GROUP_STORE_COUNT (vinfo_for_stmt (first_stmt
))
5189 < GROUP_SIZE (vinfo_for_stmt (first_stmt
))
5198 grouped_store
= false;
5199 /* VEC_NUM is the number of vect stmts to be created for this
5201 vec_num
= SLP_TREE_NUMBER_OF_VEC_STMTS (slp_node
);
5202 first_stmt
= SLP_TREE_SCALAR_STMTS (slp_node
)[0];
5203 first_dr
= STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt
));
5204 op
= gimple_assign_rhs1 (first_stmt
);
5207 /* VEC_NUM is the number of vect stmts to be created for this
5209 vec_num
= group_size
;
5215 group_size
= vec_num
= 1;
5218 if (dump_enabled_p ())
5219 dump_printf_loc (MSG_NOTE
, vect_location
,
5220 "transform store. ncopies = %d\n", ncopies
);
5222 dr_chain
.create (group_size
);
5223 oprnds
.create (group_size
);
5225 alignment_support_scheme
= vect_supportable_dr_alignment (first_dr
, false);
5226 gcc_assert (alignment_support_scheme
);
5227 /* Targets with store-lane instructions must not require explicit
5229 gcc_assert (!store_lanes_p
5230 || alignment_support_scheme
== dr_aligned
5231 || alignment_support_scheme
== dr_unaligned_supported
);
5234 offset
= size_int (-TYPE_VECTOR_SUBPARTS (vectype
) + 1);
5237 aggr_type
= build_array_type_nelts (elem_type
, vec_num
* nunits
);
5239 aggr_type
= vectype
;
5241 /* In case the vectorization factor (VF) is bigger than the number
5242 of elements that we can fit in a vectype (nunits), we have to generate
5243 more than one vector stmt - i.e - we need to "unroll" the
5244 vector stmt by a factor VF/nunits. For more details see documentation in
5245 vect_get_vec_def_for_copy_stmt. */
5247 /* In case of interleaving (non-unit grouped access):
5254 We create vectorized stores starting from base address (the access of the
5255 first stmt in the chain (S2 in the above example), when the last store stmt
5256 of the chain (S4) is reached:
5259 VS2: &base + vec_size*1 = vx0
5260 VS3: &base + vec_size*2 = vx1
5261 VS4: &base + vec_size*3 = vx3
5263 Then permutation statements are generated:
5265 VS5: vx5 = VEC_PERM_EXPR < vx0, vx3, {0, 8, 1, 9, 2, 10, 3, 11} >
5266 VS6: vx6 = VEC_PERM_EXPR < vx0, vx3, {4, 12, 5, 13, 6, 14, 7, 15} >
5269 And they are put in STMT_VINFO_VEC_STMT of the corresponding scalar stmts
5270 (the order of the data-refs in the output of vect_permute_store_chain
5271 corresponds to the order of scalar stmts in the interleaving chain - see
5272 the documentation of vect_permute_store_chain()).
5274 In case of both multiple types and interleaving, above vector stores and
5275 permutation stmts are created for every copy. The result vector stmts are
5276 put in STMT_VINFO_VEC_STMT for the first copy and in the corresponding
5277 STMT_VINFO_RELATED_STMT for the next copies.
5280 prev_stmt_info
= NULL
;
5281 for (j
= 0; j
< ncopies
; j
++)
5289 /* Get vectorized arguments for SLP_NODE. */
5290 vect_get_vec_defs (op
, NULL_TREE
, stmt
, &vec_oprnds
,
5291 NULL
, slp_node
, -1);
5293 vec_oprnd
= vec_oprnds
[0];
5297 /* For interleaved stores we collect vectorized defs for all the
5298 stores in the group in DR_CHAIN and OPRNDS. DR_CHAIN is then
5299 used as an input to vect_permute_store_chain(), and OPRNDS as
5300 an input to vect_get_vec_def_for_stmt_copy() for the next copy.
5302 If the store is not grouped, GROUP_SIZE is 1, and DR_CHAIN and
5303 OPRNDS are of size 1. */
5304 next_stmt
= first_stmt
;
5305 for (i
= 0; i
< group_size
; i
++)
5307 /* Since gaps are not supported for interleaved stores,
5308 GROUP_SIZE is the exact number of stmts in the chain.
5309 Therefore, NEXT_STMT can't be NULL_TREE. In case that
5310 there is no interleaving, GROUP_SIZE is 1, and only one
5311 iteration of the loop will be executed. */
5312 gcc_assert (next_stmt
5313 && gimple_assign_single_p (next_stmt
));
5314 op
= gimple_assign_rhs1 (next_stmt
);
5316 vec_oprnd
= vect_get_vec_def_for_operand (op
, next_stmt
,
5318 dr_chain
.quick_push (vec_oprnd
);
5319 oprnds
.quick_push (vec_oprnd
);
5320 next_stmt
= GROUP_NEXT_ELEMENT (vinfo_for_stmt (next_stmt
));
5324 /* We should have catched mismatched types earlier. */
5325 gcc_assert (useless_type_conversion_p (vectype
,
5326 TREE_TYPE (vec_oprnd
)));
5327 bool simd_lane_access_p
5328 = STMT_VINFO_SIMD_LANE_ACCESS_P (stmt_info
);
5329 if (simd_lane_access_p
5330 && TREE_CODE (DR_BASE_ADDRESS (first_dr
)) == ADDR_EXPR
5331 && VAR_P (TREE_OPERAND (DR_BASE_ADDRESS (first_dr
), 0))
5332 && integer_zerop (DR_OFFSET (first_dr
))
5333 && integer_zerop (DR_INIT (first_dr
))
5334 && alias_sets_conflict_p (get_alias_set (aggr_type
),
5335 get_alias_set (DR_REF (first_dr
))))
5337 dataref_ptr
= unshare_expr (DR_BASE_ADDRESS (first_dr
));
5338 dataref_offset
= build_int_cst (reference_alias_ptr_type
5339 (DR_REF (first_dr
)), 0);
5344 = vect_create_data_ref_ptr (first_stmt
, aggr_type
,
5345 simd_lane_access_p
? loop
: NULL
,
5346 offset
, &dummy
, gsi
, &ptr_incr
,
5347 simd_lane_access_p
, &inv_p
);
5348 gcc_assert (bb_vinfo
|| !inv_p
);
5352 /* For interleaved stores we created vectorized defs for all the
5353 defs stored in OPRNDS in the previous iteration (previous copy).
5354 DR_CHAIN is then used as an input to vect_permute_store_chain(),
5355 and OPRNDS as an input to vect_get_vec_def_for_stmt_copy() for the
5357 If the store is not grouped, GROUP_SIZE is 1, and DR_CHAIN and
5358 OPRNDS are of size 1. */
5359 for (i
= 0; i
< group_size
; i
++)
5362 vect_is_simple_use (op
, NULL
, loop_vinfo
, bb_vinfo
, &def_stmt
,
5364 vec_oprnd
= vect_get_vec_def_for_stmt_copy (dt
, op
);
5365 dr_chain
[i
] = vec_oprnd
;
5366 oprnds
[i
] = vec_oprnd
;
5370 = int_const_binop (PLUS_EXPR
, dataref_offset
,
5371 TYPE_SIZE_UNIT (aggr_type
));
5373 dataref_ptr
= bump_vector_ptr (dataref_ptr
, ptr_incr
, gsi
, stmt
,
5374 TYPE_SIZE_UNIT (aggr_type
));
5381 /* Combine all the vectors into an array. */
5382 vec_array
= create_vector_array (vectype
, vec_num
);
5383 for (i
= 0; i
< vec_num
; i
++)
5385 vec_oprnd
= dr_chain
[i
];
5386 write_vector_array (stmt
, gsi
, vec_oprnd
, vec_array
, i
);
5390 MEM_REF[...all elements...] = STORE_LANES (VEC_ARRAY). */
5391 data_ref
= create_array_ref (aggr_type
, dataref_ptr
, first_dr
);
5392 new_stmt
= gimple_build_call_internal (IFN_STORE_LANES
, 1, vec_array
);
5393 gimple_call_set_lhs (new_stmt
, data_ref
);
5394 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
5402 result_chain
.create (group_size
);
5404 vect_permute_store_chain (dr_chain
, group_size
, stmt
, gsi
,
5408 next_stmt
= first_stmt
;
5409 for (i
= 0; i
< vec_num
; i
++)
5411 unsigned align
, misalign
;
5414 /* Bump the vector pointer. */
5415 dataref_ptr
= bump_vector_ptr (dataref_ptr
, ptr_incr
, gsi
,
5419 vec_oprnd
= vec_oprnds
[i
];
5420 else if (grouped_store
)
5421 /* For grouped stores vectorized defs are interleaved in
5422 vect_permute_store_chain(). */
5423 vec_oprnd
= result_chain
[i
];
5425 data_ref
= build2 (MEM_REF
, TREE_TYPE (vec_oprnd
), dataref_ptr
,
5428 : build_int_cst (reference_alias_ptr_type
5429 (DR_REF (first_dr
)), 0));
5430 align
= TYPE_ALIGN_UNIT (vectype
);
5431 if (aligned_access_p (first_dr
))
5433 else if (DR_MISALIGNMENT (first_dr
) == -1)
5435 TREE_TYPE (data_ref
)
5436 = build_aligned_type (TREE_TYPE (data_ref
),
5437 TYPE_ALIGN (elem_type
));
5438 align
= TYPE_ALIGN_UNIT (elem_type
);
5443 TREE_TYPE (data_ref
)
5444 = build_aligned_type (TREE_TYPE (data_ref
),
5445 TYPE_ALIGN (elem_type
));
5446 misalign
= DR_MISALIGNMENT (first_dr
);
5448 if (dataref_offset
== NULL_TREE
)
5449 set_ptr_info_alignment (get_ptr_info (dataref_ptr
), align
,
5453 && dt
!= vect_constant_def
5454 && dt
!= vect_external_def
)
5456 tree perm_mask
= perm_mask_for_reverse (vectype
);
5458 = vect_create_destination_var (gimple_assign_rhs1 (stmt
),
5460 tree new_temp
= make_ssa_name (perm_dest
);
5462 /* Generate the permute statement. */
5464 = gimple_build_assign (new_temp
, VEC_PERM_EXPR
, vec_oprnd
,
5465 vec_oprnd
, perm_mask
);
5466 vect_finish_stmt_generation (stmt
, perm_stmt
, gsi
);
5468 perm_stmt
= SSA_NAME_DEF_STMT (new_temp
);
5469 vec_oprnd
= new_temp
;
5472 /* Arguments are ready. Create the new vector stmt. */
5473 new_stmt
= gimple_build_assign (data_ref
, vec_oprnd
);
5474 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
5479 next_stmt
= GROUP_NEXT_ELEMENT (vinfo_for_stmt (next_stmt
));
5487 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
5489 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
5490 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
5494 dr_chain
.release ();
5496 result_chain
.release ();
5497 vec_oprnds
.release ();
5502 /* Given a vector type VECTYPE, turns permutation SEL into the equivalent
5503 VECTOR_CST mask. No checks are made that the target platform supports the
5504 mask, so callers may wish to test can_vec_perm_p separately, or use
5505 vect_gen_perm_mask_checked. */
5508 vect_gen_perm_mask_any (tree vectype
, const unsigned char *sel
)
5510 tree mask_elt_type
, mask_type
, mask_vec
, *mask_elts
;
5513 nunits
= TYPE_VECTOR_SUBPARTS (vectype
);
5515 mask_elt_type
= lang_hooks
.types
.type_for_mode
5516 (int_mode_for_mode (TYPE_MODE (TREE_TYPE (vectype
))), 1);
5517 mask_type
= get_vectype_for_scalar_type (mask_elt_type
);
5519 mask_elts
= XALLOCAVEC (tree
, nunits
);
5520 for (i
= nunits
- 1; i
>= 0; i
--)
5521 mask_elts
[i
] = build_int_cst (mask_elt_type
, sel
[i
]);
5522 mask_vec
= build_vector (mask_type
, mask_elts
);
5527 /* Checked version of vect_gen_perm_mask_any. Asserts can_vec_perm_p,
5528 i.e. that the target supports the pattern _for arbitrary input vectors_. */
5531 vect_gen_perm_mask_checked (tree vectype
, const unsigned char *sel
)
5533 gcc_assert (can_vec_perm_p (TYPE_MODE (vectype
), false, sel
));
5534 return vect_gen_perm_mask_any (vectype
, sel
);
5537 /* Given a vector variable X and Y, that was generated for the scalar
5538 STMT, generate instructions to permute the vector elements of X and Y
5539 using permutation mask MASK_VEC, insert them at *GSI and return the
5540 permuted vector variable. */
5543 permute_vec_elements (tree x
, tree y
, tree mask_vec
, gimple stmt
,
5544 gimple_stmt_iterator
*gsi
)
5546 tree vectype
= TREE_TYPE (x
);
5547 tree perm_dest
, data_ref
;
5550 perm_dest
= vect_create_destination_var (gimple_get_lhs (stmt
), vectype
);
5551 data_ref
= make_ssa_name (perm_dest
);
5553 /* Generate the permute statement. */
5554 perm_stmt
= gimple_build_assign (data_ref
, VEC_PERM_EXPR
, x
, y
, mask_vec
);
5555 vect_finish_stmt_generation (stmt
, perm_stmt
, gsi
);
5560 /* Hoist the definitions of all SSA uses on STMT out of the loop LOOP,
5561 inserting them on the loops preheader edge. Returns true if we
5562 were successful in doing so (and thus STMT can be moved then),
5563 otherwise returns false. */
5566 hoist_defs_of_uses (gimple stmt
, struct loop
*loop
)
5572 FOR_EACH_SSA_TREE_OPERAND (op
, stmt
, i
, SSA_OP_USE
)
5574 gimple def_stmt
= SSA_NAME_DEF_STMT (op
);
5575 if (!gimple_nop_p (def_stmt
)
5576 && flow_bb_inside_loop_p (loop
, gimple_bb (def_stmt
)))
5578 /* Make sure we don't need to recurse. While we could do
5579 so in simple cases when there are more complex use webs
5580 we don't have an easy way to preserve stmt order to fulfil
5581 dependencies within them. */
5584 if (gimple_code (def_stmt
) == GIMPLE_PHI
)
5586 FOR_EACH_SSA_TREE_OPERAND (op2
, def_stmt
, i2
, SSA_OP_USE
)
5588 gimple def_stmt2
= SSA_NAME_DEF_STMT (op2
);
5589 if (!gimple_nop_p (def_stmt2
)
5590 && flow_bb_inside_loop_p (loop
, gimple_bb (def_stmt2
)))
5600 FOR_EACH_SSA_TREE_OPERAND (op
, stmt
, i
, SSA_OP_USE
)
5602 gimple def_stmt
= SSA_NAME_DEF_STMT (op
);
5603 if (!gimple_nop_p (def_stmt
)
5604 && flow_bb_inside_loop_p (loop
, gimple_bb (def_stmt
)))
5606 gimple_stmt_iterator gsi
= gsi_for_stmt (def_stmt
);
5607 gsi_remove (&gsi
, false);
5608 gsi_insert_on_edge_immediate (loop_preheader_edge (loop
), def_stmt
);
5615 /* vectorizable_load.
5617 Check if STMT reads a non scalar data-ref (array/pointer/structure) that
5619 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
5620 stmt to replace it, put it in VEC_STMT, and insert it at BSI.
5621 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
5624 vectorizable_load (gimple stmt
, gimple_stmt_iterator
*gsi
, gimple
*vec_stmt
,
5625 slp_tree slp_node
, slp_instance slp_node_instance
)
5628 tree vec_dest
= NULL
;
5629 tree data_ref
= NULL
;
5630 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
5631 stmt_vec_info prev_stmt_info
;
5632 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
5633 struct loop
*loop
= NULL
;
5634 struct loop
*containing_loop
= (gimple_bb (stmt
))->loop_father
;
5635 bool nested_in_vect_loop
= false;
5636 struct data_reference
*dr
= STMT_VINFO_DATA_REF (stmt_info
), *first_dr
= NULL
;
5637 tree vectype
= STMT_VINFO_VECTYPE (stmt_info
);
5641 gimple new_stmt
= NULL
;
5643 enum dr_alignment_support alignment_support_scheme
;
5644 tree dataref_ptr
= NULL_TREE
;
5645 tree dataref_offset
= NULL_TREE
;
5646 gimple ptr_incr
= NULL
;
5647 int nunits
= TYPE_VECTOR_SUBPARTS (vectype
);
5649 int i
, j
, group_size
, group_gap
;
5650 tree msq
= NULL_TREE
, lsq
;
5651 tree offset
= NULL_TREE
;
5652 tree byte_offset
= NULL_TREE
;
5653 tree realignment_token
= NULL_TREE
;
5655 vec
<tree
> dr_chain
= vNULL
;
5656 bool grouped_load
= false;
5657 bool load_lanes_p
= false;
5660 bool negative
= false;
5661 bool compute_in_loop
= false;
5662 struct loop
*at_loop
;
5664 bool slp
= (slp_node
!= NULL
);
5665 bool slp_perm
= false;
5666 enum tree_code code
;
5667 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
5670 tree gather_base
= NULL_TREE
, gather_off
= NULL_TREE
;
5671 tree gather_off_vectype
= NULL_TREE
, gather_decl
= NULL_TREE
;
5672 int gather_scale
= 1;
5673 enum vect_def_type gather_dt
= vect_unknown_def_type
;
5677 loop
= LOOP_VINFO_LOOP (loop_vinfo
);
5678 nested_in_vect_loop
= nested_in_vect_loop_p (loop
, stmt
);
5679 vf
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
);
5684 /* Multiple types in SLP are handled by creating the appropriate number of
5685 vectorized stmts for each SLP node. Hence, NCOPIES is always 1 in
5687 if (slp
|| PURE_SLP_STMT (stmt_info
))
5690 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits
;
5692 gcc_assert (ncopies
>= 1);
5694 /* FORNOW. This restriction should be relaxed. */
5695 if (nested_in_vect_loop
&& ncopies
> 1)
5697 if (dump_enabled_p ())
5698 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5699 "multiple types in nested loop.\n");
5703 /* Invalidate assumptions made by dependence analysis when vectorization
5704 on the unrolled body effectively re-orders stmts. */
5706 && STMT_VINFO_MIN_NEG_DIST (stmt_info
) != 0
5707 && ((unsigned)LOOP_VINFO_VECT_FACTOR (loop_vinfo
)
5708 > STMT_VINFO_MIN_NEG_DIST (stmt_info
)))
5710 if (dump_enabled_p ())
5711 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5712 "cannot perform implicit CSE when unrolling "
5713 "with negative dependence distance\n");
5717 if (!STMT_VINFO_RELEVANT_P (stmt_info
) && !bb_vinfo
)
5720 if (STMT_VINFO_DEF_TYPE (stmt_info
) != vect_internal_def
)
5723 /* Is vectorizable load? */
5724 if (!is_gimple_assign (stmt
))
5727 scalar_dest
= gimple_assign_lhs (stmt
);
5728 if (TREE_CODE (scalar_dest
) != SSA_NAME
)
5731 code
= gimple_assign_rhs_code (stmt
);
5732 if (code
!= ARRAY_REF
5733 && code
!= BIT_FIELD_REF
5734 && code
!= INDIRECT_REF
5735 && code
!= COMPONENT_REF
5736 && code
!= IMAGPART_EXPR
5737 && code
!= REALPART_EXPR
5739 && TREE_CODE_CLASS (code
) != tcc_declaration
)
5742 if (!STMT_VINFO_DATA_REF (stmt_info
))
5745 elem_type
= TREE_TYPE (vectype
);
5746 mode
= TYPE_MODE (vectype
);
5748 /* FORNOW. In some cases can vectorize even if data-type not supported
5749 (e.g. - data copies). */
5750 if (optab_handler (mov_optab
, mode
) == CODE_FOR_nothing
)
5752 if (dump_enabled_p ())
5753 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5754 "Aligned load, but unsupported type.\n");
5758 /* Check if the load is a part of an interleaving chain. */
5759 if (STMT_VINFO_GROUPED_ACCESS (stmt_info
))
5761 grouped_load
= true;
5763 gcc_assert (! nested_in_vect_loop
&& !STMT_VINFO_GATHER_P (stmt_info
));
5765 first_stmt
= GROUP_FIRST_ELEMENT (stmt_info
);
5766 if (!slp
&& !PURE_SLP_STMT (stmt_info
))
5768 group_size
= GROUP_SIZE (vinfo_for_stmt (first_stmt
));
5769 if (vect_load_lanes_supported (vectype
, group_size
))
5770 load_lanes_p
= true;
5771 else if (!vect_grouped_load_supported (vectype
, group_size
))
5775 /* Invalidate assumptions made by dependence analysis when vectorization
5776 on the unrolled body effectively re-orders stmts. */
5777 if (!PURE_SLP_STMT (stmt_info
)
5778 && STMT_VINFO_MIN_NEG_DIST (stmt_info
) != 0
5779 && ((unsigned)LOOP_VINFO_VECT_FACTOR (loop_vinfo
)
5780 > STMT_VINFO_MIN_NEG_DIST (stmt_info
)))
5782 if (dump_enabled_p ())
5783 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5784 "cannot perform implicit CSE when performing "
5785 "group loads with negative dependence distance\n");
5791 if (STMT_VINFO_GATHER_P (stmt_info
))
5795 gather_decl
= vect_check_gather (stmt
, loop_vinfo
, &gather_base
,
5796 &gather_off
, &gather_scale
);
5797 gcc_assert (gather_decl
);
5798 if (!vect_is_simple_use_1 (gather_off
, NULL
, loop_vinfo
, bb_vinfo
,
5799 &def_stmt
, &def
, &gather_dt
,
5800 &gather_off_vectype
))
5802 if (dump_enabled_p ())
5803 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5804 "gather index use not simple.\n");
5808 else if (STMT_VINFO_STRIDE_LOAD_P (stmt_info
))
5812 negative
= tree_int_cst_compare (nested_in_vect_loop
5813 ? STMT_VINFO_DR_STEP (stmt_info
)
5815 size_zero_node
) < 0;
5816 if (negative
&& ncopies
> 1)
5818 if (dump_enabled_p ())
5819 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5820 "multiple types with negative step.\n");
5828 if (dump_enabled_p ())
5829 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5830 "negative step for group load not supported"
5834 alignment_support_scheme
= vect_supportable_dr_alignment (dr
, false);
5835 if (alignment_support_scheme
!= dr_aligned
5836 && alignment_support_scheme
!= dr_unaligned_supported
)
5838 if (dump_enabled_p ())
5839 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5840 "negative step but alignment required.\n");
5843 if (!perm_mask_for_reverse (vectype
))
5845 if (dump_enabled_p ())
5846 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
5847 "negative step and reversing not supported."
5854 if (!vec_stmt
) /* transformation not required. */
5856 STMT_VINFO_TYPE (stmt_info
) = load_vec_info_type
;
5857 vect_model_load_cost (stmt_info
, ncopies
, load_lanes_p
, NULL
, NULL
, NULL
);
5861 if (dump_enabled_p ())
5862 dump_printf_loc (MSG_NOTE
, vect_location
,
5863 "transform load. ncopies = %d\n", ncopies
);
5867 ensure_base_align (stmt_info
, dr
);
5869 if (STMT_VINFO_GATHER_P (stmt_info
))
5871 tree vec_oprnd0
= NULL_TREE
, op
;
5872 tree arglist
= TYPE_ARG_TYPES (TREE_TYPE (gather_decl
));
5873 tree rettype
, srctype
, ptrtype
, idxtype
, masktype
, scaletype
;
5874 tree ptr
, mask
, var
, scale
, merge
, perm_mask
= NULL_TREE
, prev_res
= NULL_TREE
;
5875 edge pe
= loop_preheader_edge (loop
);
5878 enum { NARROW
, NONE
, WIDEN
} modifier
;
5879 int gather_off_nunits
= TYPE_VECTOR_SUBPARTS (gather_off_vectype
);
5881 if (nunits
== gather_off_nunits
)
5883 else if (nunits
== gather_off_nunits
/ 2)
5885 unsigned char *sel
= XALLOCAVEC (unsigned char, gather_off_nunits
);
5888 for (i
= 0; i
< gather_off_nunits
; ++i
)
5889 sel
[i
] = i
| nunits
;
5891 perm_mask
= vect_gen_perm_mask_checked (gather_off_vectype
, sel
);
5893 else if (nunits
== gather_off_nunits
* 2)
5895 unsigned char *sel
= XALLOCAVEC (unsigned char, nunits
);
5898 for (i
= 0; i
< nunits
; ++i
)
5899 sel
[i
] = i
< gather_off_nunits
5900 ? i
: i
+ nunits
- gather_off_nunits
;
5902 perm_mask
= vect_gen_perm_mask_checked (vectype
, sel
);
5908 rettype
= TREE_TYPE (TREE_TYPE (gather_decl
));
5909 srctype
= TREE_VALUE (arglist
); arglist
= TREE_CHAIN (arglist
);
5910 ptrtype
= TREE_VALUE (arglist
); arglist
= TREE_CHAIN (arglist
);
5911 idxtype
= TREE_VALUE (arglist
); arglist
= TREE_CHAIN (arglist
);
5912 masktype
= TREE_VALUE (arglist
); arglist
= TREE_CHAIN (arglist
);
5913 scaletype
= TREE_VALUE (arglist
);
5914 gcc_checking_assert (types_compatible_p (srctype
, rettype
));
5916 vec_dest
= vect_create_destination_var (scalar_dest
, vectype
);
5918 ptr
= fold_convert (ptrtype
, gather_base
);
5919 if (!is_gimple_min_invariant (ptr
))
5921 ptr
= force_gimple_operand (ptr
, &seq
, true, NULL_TREE
);
5922 new_bb
= gsi_insert_seq_on_edge_immediate (pe
, seq
);
5923 gcc_assert (!new_bb
);
5926 /* Currently we support only unconditional gather loads,
5927 so mask should be all ones. */
5928 if (TREE_CODE (masktype
) == INTEGER_TYPE
)
5929 mask
= build_int_cst (masktype
, -1);
5930 else if (TREE_CODE (TREE_TYPE (masktype
)) == INTEGER_TYPE
)
5932 mask
= build_int_cst (TREE_TYPE (masktype
), -1);
5933 mask
= build_vector_from_val (masktype
, mask
);
5934 mask
= vect_init_vector (stmt
, mask
, masktype
, NULL
);
5936 else if (SCALAR_FLOAT_TYPE_P (TREE_TYPE (masktype
)))
5940 for (j
= 0; j
< 6; ++j
)
5942 real_from_target (&r
, tmp
, TYPE_MODE (TREE_TYPE (masktype
)));
5943 mask
= build_real (TREE_TYPE (masktype
), r
);
5944 mask
= build_vector_from_val (masktype
, mask
);
5945 mask
= vect_init_vector (stmt
, mask
, masktype
, NULL
);
5950 scale
= build_int_cst (scaletype
, gather_scale
);
5952 if (TREE_CODE (TREE_TYPE (rettype
)) == INTEGER_TYPE
)
5953 merge
= build_int_cst (TREE_TYPE (rettype
), 0);
5954 else if (SCALAR_FLOAT_TYPE_P (TREE_TYPE (rettype
)))
5958 for (j
= 0; j
< 6; ++j
)
5960 real_from_target (&r
, tmp
, TYPE_MODE (TREE_TYPE (rettype
)));
5961 merge
= build_real (TREE_TYPE (rettype
), r
);
5965 merge
= build_vector_from_val (rettype
, merge
);
5966 merge
= vect_init_vector (stmt
, merge
, rettype
, NULL
);
5968 prev_stmt_info
= NULL
;
5969 for (j
= 0; j
< ncopies
; ++j
)
5971 if (modifier
== WIDEN
&& (j
& 1))
5972 op
= permute_vec_elements (vec_oprnd0
, vec_oprnd0
,
5973 perm_mask
, stmt
, gsi
);
5976 = vect_get_vec_def_for_operand (gather_off
, stmt
, NULL
);
5979 = vect_get_vec_def_for_stmt_copy (gather_dt
, vec_oprnd0
);
5981 if (!useless_type_conversion_p (idxtype
, TREE_TYPE (op
)))
5983 gcc_assert (TYPE_VECTOR_SUBPARTS (TREE_TYPE (op
))
5984 == TYPE_VECTOR_SUBPARTS (idxtype
));
5985 var
= vect_get_new_vect_var (idxtype
, vect_simple_var
, NULL
);
5986 var
= make_ssa_name (var
);
5987 op
= build1 (VIEW_CONVERT_EXPR
, idxtype
, op
);
5989 = gimple_build_assign (var
, VIEW_CONVERT_EXPR
, op
);
5990 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
5995 = gimple_build_call (gather_decl
, 5, merge
, ptr
, op
, mask
, scale
);
5997 if (!useless_type_conversion_p (vectype
, rettype
))
5999 gcc_assert (TYPE_VECTOR_SUBPARTS (vectype
)
6000 == TYPE_VECTOR_SUBPARTS (rettype
));
6001 var
= vect_get_new_vect_var (rettype
, vect_simple_var
, NULL
);
6002 op
= make_ssa_name (var
, new_stmt
);
6003 gimple_call_set_lhs (new_stmt
, op
);
6004 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
6005 var
= make_ssa_name (vec_dest
);
6006 op
= build1 (VIEW_CONVERT_EXPR
, vectype
, op
);
6008 = gimple_build_assign (var
, VIEW_CONVERT_EXPR
, op
);
6012 var
= make_ssa_name (vec_dest
, new_stmt
);
6013 gimple_call_set_lhs (new_stmt
, var
);
6016 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
6018 if (modifier
== NARROW
)
6025 var
= permute_vec_elements (prev_res
, var
,
6026 perm_mask
, stmt
, gsi
);
6027 new_stmt
= SSA_NAME_DEF_STMT (var
);
6030 if (prev_stmt_info
== NULL
)
6031 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
6033 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
6034 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
6038 else if (STMT_VINFO_STRIDE_LOAD_P (stmt_info
))
6040 gimple_stmt_iterator incr_gsi
;
6046 vec
<constructor_elt
, va_gc
> *v
= NULL
;
6047 gimple_seq stmts
= NULL
;
6048 tree stride_base
, stride_step
, alias_off
;
6050 gcc_assert (!nested_in_vect_loop
);
6053 = fold_build_pointer_plus
6054 (unshare_expr (DR_BASE_ADDRESS (dr
)),
6055 size_binop (PLUS_EXPR
,
6056 convert_to_ptrofftype (unshare_expr (DR_OFFSET (dr
))),
6057 convert_to_ptrofftype (DR_INIT (dr
))));
6058 stride_step
= fold_convert (sizetype
, unshare_expr (DR_STEP (dr
)));
6060 /* For a load with loop-invariant (but other than power-of-2)
6061 stride (i.e. not a grouped access) like so:
6063 for (i = 0; i < n; i += stride)
6066 we generate a new induction variable and new accesses to
6067 form a new vector (or vectors, depending on ncopies):
6069 for (j = 0; ; j += VF*stride)
6071 tmp2 = array[j + stride];
6073 vectemp = {tmp1, tmp2, ...}
6076 ivstep
= stride_step
;
6077 ivstep
= fold_build2 (MULT_EXPR
, TREE_TYPE (ivstep
), ivstep
,
6078 build_int_cst (TREE_TYPE (ivstep
), vf
));
6080 standard_iv_increment_position (loop
, &incr_gsi
, &insert_after
);
6082 create_iv (stride_base
, ivstep
, NULL
,
6083 loop
, &incr_gsi
, insert_after
,
6085 incr
= gsi_stmt (incr_gsi
);
6086 set_vinfo_for_stmt (incr
, new_stmt_vec_info (incr
, loop_vinfo
, NULL
));
6088 stride_step
= force_gimple_operand (stride_step
, &stmts
, true, NULL_TREE
);
6090 gsi_insert_seq_on_edge_immediate (loop_preheader_edge (loop
), stmts
);
6092 prev_stmt_info
= NULL
;
6093 running_off
= offvar
;
6094 alias_off
= build_int_cst (reference_alias_ptr_type (DR_REF (dr
)), 0);
6095 for (j
= 0; j
< ncopies
; j
++)
6099 vec_alloc (v
, nunits
);
6100 for (i
= 0; i
< nunits
; i
++)
6102 tree newref
, newoff
;
6104 newref
= build2 (MEM_REF
, TREE_TYPE (vectype
),
6105 running_off
, alias_off
);
6107 newref
= force_gimple_operand_gsi (gsi
, newref
, true,
6110 CONSTRUCTOR_APPEND_ELT (v
, NULL_TREE
, newref
);
6111 newoff
= copy_ssa_name (running_off
);
6112 incr
= gimple_build_assign (newoff
, POINTER_PLUS_EXPR
,
6113 running_off
, stride_step
);
6114 vect_finish_stmt_generation (stmt
, incr
, gsi
);
6116 running_off
= newoff
;
6119 vec_inv
= build_constructor (vectype
, v
);
6120 new_temp
= vect_init_vector (stmt
, vec_inv
, vectype
, gsi
);
6121 new_stmt
= SSA_NAME_DEF_STMT (new_temp
);
6124 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
6126 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
6127 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
6134 first_stmt
= GROUP_FIRST_ELEMENT (stmt_info
);
6136 && !SLP_TREE_LOAD_PERMUTATION (slp_node
).exists ()
6137 && first_stmt
!= SLP_TREE_SCALAR_STMTS (slp_node
)[0])
6138 first_stmt
= SLP_TREE_SCALAR_STMTS (slp_node
)[0];
6140 /* Check if the chain of loads is already vectorized. */
6141 if (STMT_VINFO_VEC_STMT (vinfo_for_stmt (first_stmt
))
6142 /* For SLP we would need to copy over SLP_TREE_VEC_STMTS.
6143 ??? But we can only do so if there is exactly one
6144 as we have no way to get at the rest. Leave the CSE
6146 ??? With the group load eventually participating
6147 in multiple different permutations (having multiple
6148 slp nodes which refer to the same group) the CSE
6149 is even wrong code. See PR56270. */
6152 *vec_stmt
= STMT_VINFO_VEC_STMT (stmt_info
);
6155 first_dr
= STMT_VINFO_DATA_REF (vinfo_for_stmt (first_stmt
));
6156 group_size
= GROUP_SIZE (vinfo_for_stmt (first_stmt
));
6158 /* VEC_NUM is the number of vect stmts to be created for this group. */
6161 grouped_load
= false;
6162 vec_num
= SLP_TREE_NUMBER_OF_VEC_STMTS (slp_node
);
6163 if (SLP_TREE_LOAD_PERMUTATION (slp_node
).exists ())
6165 group_gap
= GROUP_GAP (vinfo_for_stmt (first_stmt
));
6169 vec_num
= group_size
;
6177 group_size
= vec_num
= 1;
6181 alignment_support_scheme
= vect_supportable_dr_alignment (first_dr
, false);
6182 gcc_assert (alignment_support_scheme
);
6183 /* Targets with load-lane instructions must not require explicit
6185 gcc_assert (!load_lanes_p
6186 || alignment_support_scheme
== dr_aligned
6187 || alignment_support_scheme
== dr_unaligned_supported
);
6189 /* In case the vectorization factor (VF) is bigger than the number
6190 of elements that we can fit in a vectype (nunits), we have to generate
6191 more than one vector stmt - i.e - we need to "unroll" the
6192 vector stmt by a factor VF/nunits. In doing so, we record a pointer
6193 from one copy of the vector stmt to the next, in the field
6194 STMT_VINFO_RELATED_STMT. This is necessary in order to allow following
6195 stages to find the correct vector defs to be used when vectorizing
6196 stmts that use the defs of the current stmt. The example below
6197 illustrates the vectorization process when VF=16 and nunits=4 (i.e., we
6198 need to create 4 vectorized stmts):
6200 before vectorization:
6201 RELATED_STMT VEC_STMT
6205 step 1: vectorize stmt S1:
6206 We first create the vector stmt VS1_0, and, as usual, record a
6207 pointer to it in the STMT_VINFO_VEC_STMT of the scalar stmt S1.
6208 Next, we create the vector stmt VS1_1, and record a pointer to
6209 it in the STMT_VINFO_RELATED_STMT of the vector stmt VS1_0.
6210 Similarly, for VS1_2 and VS1_3. This is the resulting chain of
6212 RELATED_STMT VEC_STMT
6213 VS1_0: vx0 = memref0 VS1_1 -
6214 VS1_1: vx1 = memref1 VS1_2 -
6215 VS1_2: vx2 = memref2 VS1_3 -
6216 VS1_3: vx3 = memref3 - -
6217 S1: x = load - VS1_0
6220 See in documentation in vect_get_vec_def_for_stmt_copy for how the
6221 information we recorded in RELATED_STMT field is used to vectorize
6224 /* In case of interleaving (non-unit grouped access):
6231 Vectorized loads are created in the order of memory accesses
6232 starting from the access of the first stmt of the chain:
6235 VS2: vx1 = &base + vec_size*1
6236 VS3: vx3 = &base + vec_size*2
6237 VS4: vx4 = &base + vec_size*3
6239 Then permutation statements are generated:
6241 VS5: vx5 = VEC_PERM_EXPR < vx0, vx1, { 0, 2, ..., i*2 } >
6242 VS6: vx6 = VEC_PERM_EXPR < vx0, vx1, { 1, 3, ..., i*2+1 } >
6245 And they are put in STMT_VINFO_VEC_STMT of the corresponding scalar stmts
6246 (the order of the data-refs in the output of vect_permute_load_chain
6247 corresponds to the order of scalar stmts in the interleaving chain - see
6248 the documentation of vect_permute_load_chain()).
6249 The generation of permutation stmts and recording them in
6250 STMT_VINFO_VEC_STMT is done in vect_transform_grouped_load().
6252 In case of both multiple types and interleaving, the vector loads and
6253 permutation stmts above are created for every copy. The result vector
6254 stmts are put in STMT_VINFO_VEC_STMT for the first copy and in the
6255 corresponding STMT_VINFO_RELATED_STMT for the next copies. */
6257 /* If the data reference is aligned (dr_aligned) or potentially unaligned
6258 on a target that supports unaligned accesses (dr_unaligned_supported)
6259 we generate the following code:
6263 p = p + indx * vectype_size;
6268 Otherwise, the data reference is potentially unaligned on a target that
6269 does not support unaligned accesses (dr_explicit_realign_optimized) -
6270 then generate the following code, in which the data in each iteration is
6271 obtained by two vector loads, one from the previous iteration, and one
6272 from the current iteration:
6274 msq_init = *(floor(p1))
6275 p2 = initial_addr + VS - 1;
6276 realignment_token = call target_builtin;
6279 p2 = p2 + indx * vectype_size
6281 vec_dest = realign_load (msq, lsq, realignment_token)
6286 /* If the misalignment remains the same throughout the execution of the
6287 loop, we can create the init_addr and permutation mask at the loop
6288 preheader. Otherwise, it needs to be created inside the loop.
6289 This can only occur when vectorizing memory accesses in the inner-loop
6290 nested within an outer-loop that is being vectorized. */
6292 if (nested_in_vect_loop
6293 && (TREE_INT_CST_LOW (DR_STEP (dr
))
6294 % GET_MODE_SIZE (TYPE_MODE (vectype
)) != 0))
6296 gcc_assert (alignment_support_scheme
!= dr_explicit_realign_optimized
);
6297 compute_in_loop
= true;
6300 if ((alignment_support_scheme
== dr_explicit_realign_optimized
6301 || alignment_support_scheme
== dr_explicit_realign
)
6302 && !compute_in_loop
)
6304 msq
= vect_setup_realignment (first_stmt
, gsi
, &realignment_token
,
6305 alignment_support_scheme
, NULL_TREE
,
6307 if (alignment_support_scheme
== dr_explicit_realign_optimized
)
6309 phi
= as_a
<gphi
*> (SSA_NAME_DEF_STMT (msq
));
6310 byte_offset
= size_binop (MINUS_EXPR
, TYPE_SIZE_UNIT (vectype
),
6318 offset
= size_int (-TYPE_VECTOR_SUBPARTS (vectype
) + 1);
6321 aggr_type
= build_array_type_nelts (elem_type
, vec_num
* nunits
);
6323 aggr_type
= vectype
;
6325 prev_stmt_info
= NULL
;
6326 for (j
= 0; j
< ncopies
; j
++)
6328 /* 1. Create the vector or array pointer update chain. */
6331 bool simd_lane_access_p
6332 = STMT_VINFO_SIMD_LANE_ACCESS_P (stmt_info
);
6333 if (simd_lane_access_p
6334 && TREE_CODE (DR_BASE_ADDRESS (first_dr
)) == ADDR_EXPR
6335 && VAR_P (TREE_OPERAND (DR_BASE_ADDRESS (first_dr
), 0))
6336 && integer_zerop (DR_OFFSET (first_dr
))
6337 && integer_zerop (DR_INIT (first_dr
))
6338 && alias_sets_conflict_p (get_alias_set (aggr_type
),
6339 get_alias_set (DR_REF (first_dr
)))
6340 && (alignment_support_scheme
== dr_aligned
6341 || alignment_support_scheme
== dr_unaligned_supported
))
6343 dataref_ptr
= unshare_expr (DR_BASE_ADDRESS (first_dr
));
6344 dataref_offset
= build_int_cst (reference_alias_ptr_type
6345 (DR_REF (first_dr
)), 0);
6350 = vect_create_data_ref_ptr (first_stmt
, aggr_type
, at_loop
,
6351 offset
, &dummy
, gsi
, &ptr_incr
,
6352 simd_lane_access_p
, &inv_p
,
6355 else if (dataref_offset
)
6356 dataref_offset
= int_const_binop (PLUS_EXPR
, dataref_offset
,
6357 TYPE_SIZE_UNIT (aggr_type
));
6359 dataref_ptr
= bump_vector_ptr (dataref_ptr
, ptr_incr
, gsi
, stmt
,
6360 TYPE_SIZE_UNIT (aggr_type
));
6362 if (grouped_load
|| slp_perm
)
6363 dr_chain
.create (vec_num
);
6369 vec_array
= create_vector_array (vectype
, vec_num
);
6372 VEC_ARRAY = LOAD_LANES (MEM_REF[...all elements...]). */
6373 data_ref
= create_array_ref (aggr_type
, dataref_ptr
, first_dr
);
6374 new_stmt
= gimple_build_call_internal (IFN_LOAD_LANES
, 1, data_ref
);
6375 gimple_call_set_lhs (new_stmt
, vec_array
);
6376 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
6378 /* Extract each vector into an SSA_NAME. */
6379 for (i
= 0; i
< vec_num
; i
++)
6381 new_temp
= read_vector_array (stmt
, gsi
, scalar_dest
,
6383 dr_chain
.quick_push (new_temp
);
6386 /* Record the mapping between SSA_NAMEs and statements. */
6387 vect_record_grouped_load_vectors (stmt
, dr_chain
);
6391 for (i
= 0; i
< vec_num
; i
++)
6394 dataref_ptr
= bump_vector_ptr (dataref_ptr
, ptr_incr
, gsi
,
6397 /* 2. Create the vector-load in the loop. */
6398 switch (alignment_support_scheme
)
6401 case dr_unaligned_supported
:
6403 unsigned int align
, misalign
;
6406 = build2 (MEM_REF
, vectype
, dataref_ptr
,
6409 : build_int_cst (reference_alias_ptr_type
6410 (DR_REF (first_dr
)), 0));
6411 align
= TYPE_ALIGN_UNIT (vectype
);
6412 if (alignment_support_scheme
== dr_aligned
)
6414 gcc_assert (aligned_access_p (first_dr
));
6417 else if (DR_MISALIGNMENT (first_dr
) == -1)
6419 TREE_TYPE (data_ref
)
6420 = build_aligned_type (TREE_TYPE (data_ref
),
6421 TYPE_ALIGN (elem_type
));
6422 align
= TYPE_ALIGN_UNIT (elem_type
);
6427 TREE_TYPE (data_ref
)
6428 = build_aligned_type (TREE_TYPE (data_ref
),
6429 TYPE_ALIGN (elem_type
));
6430 misalign
= DR_MISALIGNMENT (first_dr
);
6432 if (dataref_offset
== NULL_TREE
)
6433 set_ptr_info_alignment (get_ptr_info (dataref_ptr
),
6437 case dr_explicit_realign
:
6442 vs_minus_1
= size_int (TYPE_VECTOR_SUBPARTS (vectype
) - 1);
6444 if (compute_in_loop
)
6445 msq
= vect_setup_realignment (first_stmt
, gsi
,
6447 dr_explicit_realign
,
6450 ptr
= copy_ssa_name (dataref_ptr
);
6451 new_stmt
= gimple_build_assign
6452 (ptr
, BIT_AND_EXPR
, dataref_ptr
,
6454 (TREE_TYPE (dataref_ptr
),
6455 -(HOST_WIDE_INT
)TYPE_ALIGN_UNIT (vectype
)));
6456 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
6458 = build2 (MEM_REF
, vectype
, ptr
,
6459 build_int_cst (reference_alias_ptr_type
6460 (DR_REF (first_dr
)), 0));
6461 vec_dest
= vect_create_destination_var (scalar_dest
,
6463 new_stmt
= gimple_build_assign (vec_dest
, data_ref
);
6464 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
6465 gimple_assign_set_lhs (new_stmt
, new_temp
);
6466 gimple_set_vdef (new_stmt
, gimple_vdef (stmt
));
6467 gimple_set_vuse (new_stmt
, gimple_vuse (stmt
));
6468 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
6471 bump
= size_binop (MULT_EXPR
, vs_minus_1
,
6472 TYPE_SIZE_UNIT (elem_type
));
6473 ptr
= bump_vector_ptr (dataref_ptr
, NULL
, gsi
, stmt
, bump
);
6474 new_stmt
= gimple_build_assign
6475 (NULL_TREE
, BIT_AND_EXPR
, ptr
,
6478 -(HOST_WIDE_INT
)TYPE_ALIGN_UNIT (vectype
)));
6479 ptr
= copy_ssa_name (dataref_ptr
, new_stmt
);
6480 gimple_assign_set_lhs (new_stmt
, ptr
);
6481 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
6483 = build2 (MEM_REF
, vectype
, ptr
,
6484 build_int_cst (reference_alias_ptr_type
6485 (DR_REF (first_dr
)), 0));
6488 case dr_explicit_realign_optimized
:
6489 new_temp
= copy_ssa_name (dataref_ptr
);
6490 new_stmt
= gimple_build_assign
6491 (new_temp
, BIT_AND_EXPR
, dataref_ptr
,
6493 (TREE_TYPE (dataref_ptr
),
6494 -(HOST_WIDE_INT
)TYPE_ALIGN_UNIT (vectype
)));
6495 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
6497 = build2 (MEM_REF
, vectype
, new_temp
,
6498 build_int_cst (reference_alias_ptr_type
6499 (DR_REF (first_dr
)), 0));
6504 vec_dest
= vect_create_destination_var (scalar_dest
, vectype
);
6505 new_stmt
= gimple_build_assign (vec_dest
, data_ref
);
6506 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
6507 gimple_assign_set_lhs (new_stmt
, new_temp
);
6508 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
6510 /* 3. Handle explicit realignment if necessary/supported.
6512 vec_dest = realign_load (msq, lsq, realignment_token) */
6513 if (alignment_support_scheme
== dr_explicit_realign_optimized
6514 || alignment_support_scheme
== dr_explicit_realign
)
6516 lsq
= gimple_assign_lhs (new_stmt
);
6517 if (!realignment_token
)
6518 realignment_token
= dataref_ptr
;
6519 vec_dest
= vect_create_destination_var (scalar_dest
, vectype
);
6520 new_stmt
= gimple_build_assign (vec_dest
, REALIGN_LOAD_EXPR
,
6521 msq
, lsq
, realignment_token
);
6522 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
6523 gimple_assign_set_lhs (new_stmt
, new_temp
);
6524 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
6526 if (alignment_support_scheme
== dr_explicit_realign_optimized
)
6529 if (i
== vec_num
- 1 && j
== ncopies
- 1)
6530 add_phi_arg (phi
, lsq
,
6531 loop_latch_edge (containing_loop
),
6537 /* 4. Handle invariant-load. */
6538 if (inv_p
&& !bb_vinfo
)
6540 gcc_assert (!grouped_load
);
6541 /* If we have versioned for aliasing or the loop doesn't
6542 have any data dependencies that would preclude this,
6543 then we are sure this is a loop invariant load and
6544 thus we can insert it on the preheader edge. */
6545 if (LOOP_VINFO_NO_DATA_DEPENDENCIES (loop_vinfo
)
6546 && !nested_in_vect_loop
6547 && hoist_defs_of_uses (stmt
, loop
))
6549 if (dump_enabled_p ())
6551 dump_printf_loc (MSG_NOTE
, vect_location
,
6552 "hoisting out of the vectorized "
6554 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, stmt
, 0);
6555 dump_printf (MSG_NOTE
, "\n");
6557 tree tem
= copy_ssa_name (scalar_dest
);
6558 gsi_insert_on_edge_immediate
6559 (loop_preheader_edge (loop
),
6560 gimple_build_assign (tem
,
6562 (gimple_assign_rhs1 (stmt
))));
6563 new_temp
= vect_init_vector (stmt
, tem
, vectype
, NULL
);
6567 gimple_stmt_iterator gsi2
= *gsi
;
6569 new_temp
= vect_init_vector (stmt
, scalar_dest
,
6572 new_stmt
= SSA_NAME_DEF_STMT (new_temp
);
6573 set_vinfo_for_stmt (new_stmt
,
6574 new_stmt_vec_info (new_stmt
, loop_vinfo
,
6580 tree perm_mask
= perm_mask_for_reverse (vectype
);
6581 new_temp
= permute_vec_elements (new_temp
, new_temp
,
6582 perm_mask
, stmt
, gsi
);
6583 new_stmt
= SSA_NAME_DEF_STMT (new_temp
);
6586 /* Collect vector loads and later create their permutation in
6587 vect_transform_grouped_load (). */
6588 if (grouped_load
|| slp_perm
)
6589 dr_chain
.quick_push (new_temp
);
6591 /* Store vector loads in the corresponding SLP_NODE. */
6592 if (slp
&& !slp_perm
)
6593 SLP_TREE_VEC_STMTS (slp_node
).quick_push (new_stmt
);
6595 /* Bump the vector pointer to account for a gap. */
6596 if (slp
&& group_gap
!= 0)
6598 tree bump
= size_binop (MULT_EXPR
,
6599 TYPE_SIZE_UNIT (elem_type
),
6600 size_int (group_gap
));
6601 dataref_ptr
= bump_vector_ptr (dataref_ptr
, ptr_incr
, gsi
,
6606 if (slp
&& !slp_perm
)
6611 if (!vect_transform_slp_perm_load (slp_node
, dr_chain
, gsi
, vf
,
6612 slp_node_instance
, false))
6614 dr_chain
.release ();
6623 vect_transform_grouped_load (stmt
, dr_chain
, group_size
, gsi
);
6624 *vec_stmt
= STMT_VINFO_VEC_STMT (stmt_info
);
6629 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
6631 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
6632 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
6635 dr_chain
.release ();
6641 /* Function vect_is_simple_cond.
6644 LOOP - the loop that is being vectorized.
6645 COND - Condition that is checked for simple use.
6648 *COMP_VECTYPE - the vector type for the comparison.
6650 Returns whether a COND can be vectorized. Checks whether
6651 condition operands are supportable using vec_is_simple_use. */
6654 vect_is_simple_cond (tree cond
, gimple stmt
, loop_vec_info loop_vinfo
,
6655 bb_vec_info bb_vinfo
, tree
*comp_vectype
)
6659 enum vect_def_type dt
;
6660 tree vectype1
= NULL_TREE
, vectype2
= NULL_TREE
;
6662 if (!COMPARISON_CLASS_P (cond
))
6665 lhs
= TREE_OPERAND (cond
, 0);
6666 rhs
= TREE_OPERAND (cond
, 1);
6668 if (TREE_CODE (lhs
) == SSA_NAME
)
6670 gimple lhs_def_stmt
= SSA_NAME_DEF_STMT (lhs
);
6671 if (!vect_is_simple_use_1 (lhs
, stmt
, loop_vinfo
, bb_vinfo
,
6672 &lhs_def_stmt
, &def
, &dt
, &vectype1
))
6675 else if (TREE_CODE (lhs
) != INTEGER_CST
&& TREE_CODE (lhs
) != REAL_CST
6676 && TREE_CODE (lhs
) != FIXED_CST
)
6679 if (TREE_CODE (rhs
) == SSA_NAME
)
6681 gimple rhs_def_stmt
= SSA_NAME_DEF_STMT (rhs
);
6682 if (!vect_is_simple_use_1 (rhs
, stmt
, loop_vinfo
, bb_vinfo
,
6683 &rhs_def_stmt
, &def
, &dt
, &vectype2
))
6686 else if (TREE_CODE (rhs
) != INTEGER_CST
&& TREE_CODE (rhs
) != REAL_CST
6687 && TREE_CODE (rhs
) != FIXED_CST
)
6690 *comp_vectype
= vectype1
? vectype1
: vectype2
;
6694 /* vectorizable_condition.
6696 Check if STMT is conditional modify expression that can be vectorized.
6697 If VEC_STMT is also passed, vectorize the STMT: create a vectorized
6698 stmt using VEC_COND_EXPR to replace it, put it in VEC_STMT, and insert it
6701 When STMT is vectorized as nested cycle, REDUC_DEF is the vector variable
6702 to be used at REDUC_INDEX (in then clause if REDUC_INDEX is 1, and in
6703 else caluse if it is 2).
6705 Return FALSE if not a vectorizable STMT, TRUE otherwise. */
6708 vectorizable_condition (gimple stmt
, gimple_stmt_iterator
*gsi
,
6709 gimple
*vec_stmt
, tree reduc_def
, int reduc_index
,
6712 tree scalar_dest
= NULL_TREE
;
6713 tree vec_dest
= NULL_TREE
;
6714 tree cond_expr
, then_clause
, else_clause
;
6715 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
6716 tree vectype
= STMT_VINFO_VECTYPE (stmt_info
);
6717 tree comp_vectype
= NULL_TREE
;
6718 tree vec_cond_lhs
= NULL_TREE
, vec_cond_rhs
= NULL_TREE
;
6719 tree vec_then_clause
= NULL_TREE
, vec_else_clause
= NULL_TREE
;
6720 tree vec_compare
, vec_cond_expr
;
6722 loop_vec_info loop_vinfo
= STMT_VINFO_LOOP_VINFO (stmt_info
);
6724 enum vect_def_type dt
, dts
[4];
6725 int nunits
= TYPE_VECTOR_SUBPARTS (vectype
);
6727 enum tree_code code
;
6728 stmt_vec_info prev_stmt_info
= NULL
;
6730 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
6731 vec
<tree
> vec_oprnds0
= vNULL
;
6732 vec
<tree
> vec_oprnds1
= vNULL
;
6733 vec
<tree
> vec_oprnds2
= vNULL
;
6734 vec
<tree
> vec_oprnds3
= vNULL
;
6737 if (slp_node
|| PURE_SLP_STMT (stmt_info
))
6740 ncopies
= LOOP_VINFO_VECT_FACTOR (loop_vinfo
) / nunits
;
6742 gcc_assert (ncopies
>= 1);
6743 if (reduc_index
&& ncopies
> 1)
6744 return false; /* FORNOW */
6746 if (reduc_index
&& STMT_SLP_TYPE (stmt_info
))
6749 if (!STMT_VINFO_RELEVANT_P (stmt_info
) && !bb_vinfo
)
6752 if (STMT_VINFO_DEF_TYPE (stmt_info
) != vect_internal_def
6753 && !(STMT_VINFO_DEF_TYPE (stmt_info
) == vect_nested_cycle
6757 /* FORNOW: not yet supported. */
6758 if (STMT_VINFO_LIVE_P (stmt_info
))
6760 if (dump_enabled_p ())
6761 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
6762 "value used after loop.\n");
6766 /* Is vectorizable conditional operation? */
6767 if (!is_gimple_assign (stmt
))
6770 code
= gimple_assign_rhs_code (stmt
);
6772 if (code
!= COND_EXPR
)
6775 cond_expr
= gimple_assign_rhs1 (stmt
);
6776 then_clause
= gimple_assign_rhs2 (stmt
);
6777 else_clause
= gimple_assign_rhs3 (stmt
);
6779 if (!vect_is_simple_cond (cond_expr
, stmt
, loop_vinfo
, bb_vinfo
,
6784 if (TREE_CODE (then_clause
) == SSA_NAME
)
6786 gimple then_def_stmt
= SSA_NAME_DEF_STMT (then_clause
);
6787 if (!vect_is_simple_use (then_clause
, stmt
, loop_vinfo
, bb_vinfo
,
6788 &then_def_stmt
, &def
, &dt
))
6791 else if (TREE_CODE (then_clause
) != INTEGER_CST
6792 && TREE_CODE (then_clause
) != REAL_CST
6793 && TREE_CODE (then_clause
) != FIXED_CST
)
6796 if (TREE_CODE (else_clause
) == SSA_NAME
)
6798 gimple else_def_stmt
= SSA_NAME_DEF_STMT (else_clause
);
6799 if (!vect_is_simple_use (else_clause
, stmt
, loop_vinfo
, bb_vinfo
,
6800 &else_def_stmt
, &def
, &dt
))
6803 else if (TREE_CODE (else_clause
) != INTEGER_CST
6804 && TREE_CODE (else_clause
) != REAL_CST
6805 && TREE_CODE (else_clause
) != FIXED_CST
)
6808 unsigned int prec
= GET_MODE_BITSIZE (TYPE_MODE (TREE_TYPE (vectype
)));
6809 /* The result of a vector comparison should be signed type. */
6810 tree cmp_type
= build_nonstandard_integer_type (prec
, 0);
6811 vec_cmp_type
= get_same_sized_vectype (cmp_type
, vectype
);
6812 if (vec_cmp_type
== NULL_TREE
)
6817 STMT_VINFO_TYPE (stmt_info
) = condition_vec_info_type
;
6818 return expand_vec_cond_expr_p (vectype
, comp_vectype
);
6825 vec_oprnds0
.create (1);
6826 vec_oprnds1
.create (1);
6827 vec_oprnds2
.create (1);
6828 vec_oprnds3
.create (1);
6832 scalar_dest
= gimple_assign_lhs (stmt
);
6833 vec_dest
= vect_create_destination_var (scalar_dest
, vectype
);
6835 /* Handle cond expr. */
6836 for (j
= 0; j
< ncopies
; j
++)
6838 gassign
*new_stmt
= NULL
;
6843 auto_vec
<tree
, 4> ops
;
6844 auto_vec
<vec
<tree
>, 4> vec_defs
;
6846 ops
.safe_push (TREE_OPERAND (cond_expr
, 0));
6847 ops
.safe_push (TREE_OPERAND (cond_expr
, 1));
6848 ops
.safe_push (then_clause
);
6849 ops
.safe_push (else_clause
);
6850 vect_get_slp_defs (ops
, slp_node
, &vec_defs
, -1);
6851 vec_oprnds3
= vec_defs
.pop ();
6852 vec_oprnds2
= vec_defs
.pop ();
6853 vec_oprnds1
= vec_defs
.pop ();
6854 vec_oprnds0
= vec_defs
.pop ();
6857 vec_defs
.release ();
6863 vect_get_vec_def_for_operand (TREE_OPERAND (cond_expr
, 0),
6865 vect_is_simple_use (TREE_OPERAND (cond_expr
, 0), stmt
,
6866 loop_vinfo
, NULL
, >emp
, &def
, &dts
[0]);
6869 vect_get_vec_def_for_operand (TREE_OPERAND (cond_expr
, 1),
6871 vect_is_simple_use (TREE_OPERAND (cond_expr
, 1), stmt
,
6872 loop_vinfo
, NULL
, >emp
, &def
, &dts
[1]);
6873 if (reduc_index
== 1)
6874 vec_then_clause
= reduc_def
;
6877 vec_then_clause
= vect_get_vec_def_for_operand (then_clause
,
6879 vect_is_simple_use (then_clause
, stmt
, loop_vinfo
,
6880 NULL
, >emp
, &def
, &dts
[2]);
6882 if (reduc_index
== 2)
6883 vec_else_clause
= reduc_def
;
6886 vec_else_clause
= vect_get_vec_def_for_operand (else_clause
,
6888 vect_is_simple_use (else_clause
, stmt
, loop_vinfo
,
6889 NULL
, >emp
, &def
, &dts
[3]);
6895 vec_cond_lhs
= vect_get_vec_def_for_stmt_copy (dts
[0],
6896 vec_oprnds0
.pop ());
6897 vec_cond_rhs
= vect_get_vec_def_for_stmt_copy (dts
[1],
6898 vec_oprnds1
.pop ());
6899 vec_then_clause
= vect_get_vec_def_for_stmt_copy (dts
[2],
6900 vec_oprnds2
.pop ());
6901 vec_else_clause
= vect_get_vec_def_for_stmt_copy (dts
[3],
6902 vec_oprnds3
.pop ());
6907 vec_oprnds0
.quick_push (vec_cond_lhs
);
6908 vec_oprnds1
.quick_push (vec_cond_rhs
);
6909 vec_oprnds2
.quick_push (vec_then_clause
);
6910 vec_oprnds3
.quick_push (vec_else_clause
);
6913 /* Arguments are ready. Create the new vector stmt. */
6914 FOR_EACH_VEC_ELT (vec_oprnds0
, i
, vec_cond_lhs
)
6916 vec_cond_rhs
= vec_oprnds1
[i
];
6917 vec_then_clause
= vec_oprnds2
[i
];
6918 vec_else_clause
= vec_oprnds3
[i
];
6920 vec_compare
= build2 (TREE_CODE (cond_expr
), vec_cmp_type
,
6921 vec_cond_lhs
, vec_cond_rhs
);
6922 vec_cond_expr
= build3 (VEC_COND_EXPR
, vectype
,
6923 vec_compare
, vec_then_clause
, vec_else_clause
);
6925 new_stmt
= gimple_build_assign (vec_dest
, vec_cond_expr
);
6926 new_temp
= make_ssa_name (vec_dest
, new_stmt
);
6927 gimple_assign_set_lhs (new_stmt
, new_temp
);
6928 vect_finish_stmt_generation (stmt
, new_stmt
, gsi
);
6930 SLP_TREE_VEC_STMTS (slp_node
).quick_push (new_stmt
);
6937 STMT_VINFO_VEC_STMT (stmt_info
) = *vec_stmt
= new_stmt
;
6939 STMT_VINFO_RELATED_STMT (prev_stmt_info
) = new_stmt
;
6941 prev_stmt_info
= vinfo_for_stmt (new_stmt
);
6944 vec_oprnds0
.release ();
6945 vec_oprnds1
.release ();
6946 vec_oprnds2
.release ();
6947 vec_oprnds3
.release ();
6953 /* Make sure the statement is vectorizable. */
6956 vect_analyze_stmt (gimple stmt
, bool *need_to_vectorize
, slp_tree node
)
6958 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
6959 bb_vec_info bb_vinfo
= STMT_VINFO_BB_VINFO (stmt_info
);
6960 enum vect_relevant relevance
= STMT_VINFO_RELEVANT (stmt_info
);
6962 tree scalar_type
, vectype
;
6963 gimple pattern_stmt
;
6964 gimple_seq pattern_def_seq
;
6966 if (dump_enabled_p ())
6968 dump_printf_loc (MSG_NOTE
, vect_location
, "==> examining statement: ");
6969 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, stmt
, 0);
6970 dump_printf (MSG_NOTE
, "\n");
6973 if (gimple_has_volatile_ops (stmt
))
6975 if (dump_enabled_p ())
6976 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
6977 "not vectorized: stmt has volatile operands\n");
6982 /* Skip stmts that do not need to be vectorized. In loops this is expected
6984 - the COND_EXPR which is the loop exit condition
6985 - any LABEL_EXPRs in the loop
6986 - computations that are used only for array indexing or loop control.
6987 In basic blocks we only analyze statements that are a part of some SLP
6988 instance, therefore, all the statements are relevant.
6990 Pattern statement needs to be analyzed instead of the original statement
6991 if the original statement is not relevant. Otherwise, we analyze both
6992 statements. In basic blocks we are called from some SLP instance
6993 traversal, don't analyze pattern stmts instead, the pattern stmts
6994 already will be part of SLP instance. */
6996 pattern_stmt
= STMT_VINFO_RELATED_STMT (stmt_info
);
6997 if (!STMT_VINFO_RELEVANT_P (stmt_info
)
6998 && !STMT_VINFO_LIVE_P (stmt_info
))
7000 if (STMT_VINFO_IN_PATTERN_P (stmt_info
)
7002 && (STMT_VINFO_RELEVANT_P (vinfo_for_stmt (pattern_stmt
))
7003 || STMT_VINFO_LIVE_P (vinfo_for_stmt (pattern_stmt
))))
7005 /* Analyze PATTERN_STMT instead of the original stmt. */
7006 stmt
= pattern_stmt
;
7007 stmt_info
= vinfo_for_stmt (pattern_stmt
);
7008 if (dump_enabled_p ())
7010 dump_printf_loc (MSG_NOTE
, vect_location
,
7011 "==> examining pattern statement: ");
7012 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, stmt
, 0);
7013 dump_printf (MSG_NOTE
, "\n");
7018 if (dump_enabled_p ())
7019 dump_printf_loc (MSG_NOTE
, vect_location
, "irrelevant.\n");
7024 else if (STMT_VINFO_IN_PATTERN_P (stmt_info
)
7027 && (STMT_VINFO_RELEVANT_P (vinfo_for_stmt (pattern_stmt
))
7028 || STMT_VINFO_LIVE_P (vinfo_for_stmt (pattern_stmt
))))
7030 /* Analyze PATTERN_STMT too. */
7031 if (dump_enabled_p ())
7033 dump_printf_loc (MSG_NOTE
, vect_location
,
7034 "==> examining pattern statement: ");
7035 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, stmt
, 0);
7036 dump_printf (MSG_NOTE
, "\n");
7039 if (!vect_analyze_stmt (pattern_stmt
, need_to_vectorize
, node
))
7043 if (is_pattern_stmt_p (stmt_info
)
7045 && (pattern_def_seq
= STMT_VINFO_PATTERN_DEF_SEQ (stmt_info
)))
7047 gimple_stmt_iterator si
;
7049 for (si
= gsi_start (pattern_def_seq
); !gsi_end_p (si
); gsi_next (&si
))
7051 gimple pattern_def_stmt
= gsi_stmt (si
);
7052 if (STMT_VINFO_RELEVANT_P (vinfo_for_stmt (pattern_def_stmt
))
7053 || STMT_VINFO_LIVE_P (vinfo_for_stmt (pattern_def_stmt
)))
7055 /* Analyze def stmt of STMT if it's a pattern stmt. */
7056 if (dump_enabled_p ())
7058 dump_printf_loc (MSG_NOTE
, vect_location
,
7059 "==> examining pattern def statement: ");
7060 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, pattern_def_stmt
, 0);
7061 dump_printf (MSG_NOTE
, "\n");
7064 if (!vect_analyze_stmt (pattern_def_stmt
,
7065 need_to_vectorize
, node
))
7071 switch (STMT_VINFO_DEF_TYPE (stmt_info
))
7073 case vect_internal_def
:
7076 case vect_reduction_def
:
7077 case vect_nested_cycle
:
7078 gcc_assert (!bb_vinfo
&& (relevance
== vect_used_in_outer
7079 || relevance
== vect_used_in_outer_by_reduction
7080 || relevance
== vect_unused_in_scope
));
7083 case vect_induction_def
:
7084 case vect_constant_def
:
7085 case vect_external_def
:
7086 case vect_unknown_def_type
:
7093 gcc_assert (PURE_SLP_STMT (stmt_info
));
7095 scalar_type
= TREE_TYPE (gimple_get_lhs (stmt
));
7096 if (dump_enabled_p ())
7098 dump_printf_loc (MSG_NOTE
, vect_location
,
7099 "get vectype for scalar type: ");
7100 dump_generic_expr (MSG_NOTE
, TDF_SLIM
, scalar_type
);
7101 dump_printf (MSG_NOTE
, "\n");
7104 vectype
= get_vectype_for_scalar_type (scalar_type
);
7107 if (dump_enabled_p ())
7109 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
7110 "not SLPed: unsupported data-type ");
7111 dump_generic_expr (MSG_MISSED_OPTIMIZATION
, TDF_SLIM
,
7113 dump_printf (MSG_MISSED_OPTIMIZATION
, "\n");
7118 if (dump_enabled_p ())
7120 dump_printf_loc (MSG_NOTE
, vect_location
, "vectype: ");
7121 dump_generic_expr (MSG_NOTE
, TDF_SLIM
, vectype
);
7122 dump_printf (MSG_NOTE
, "\n");
7125 STMT_VINFO_VECTYPE (stmt_info
) = vectype
;
7128 if (STMT_VINFO_RELEVANT_P (stmt_info
))
7130 gcc_assert (!VECTOR_MODE_P (TYPE_MODE (gimple_expr_type (stmt
))));
7131 gcc_assert (STMT_VINFO_VECTYPE (stmt_info
)
7132 || (is_gimple_call (stmt
)
7133 && gimple_call_lhs (stmt
) == NULL_TREE
));
7134 *need_to_vectorize
= true;
7139 && (STMT_VINFO_RELEVANT_P (stmt_info
)
7140 || STMT_VINFO_DEF_TYPE (stmt_info
) == vect_reduction_def
))
7141 ok
= (vectorizable_simd_clone_call (stmt
, NULL
, NULL
, NULL
)
7142 || vectorizable_conversion (stmt
, NULL
, NULL
, NULL
)
7143 || vectorizable_shift (stmt
, NULL
, NULL
, NULL
)
7144 || vectorizable_operation (stmt
, NULL
, NULL
, NULL
)
7145 || vectorizable_assignment (stmt
, NULL
, NULL
, NULL
)
7146 || vectorizable_load (stmt
, NULL
, NULL
, NULL
, NULL
)
7147 || vectorizable_call (stmt
, NULL
, NULL
, NULL
)
7148 || vectorizable_store (stmt
, NULL
, NULL
, NULL
)
7149 || vectorizable_reduction (stmt
, NULL
, NULL
, NULL
)
7150 || vectorizable_condition (stmt
, NULL
, NULL
, NULL
, 0, NULL
));
7154 ok
= (vectorizable_simd_clone_call (stmt
, NULL
, NULL
, node
)
7155 || vectorizable_conversion (stmt
, NULL
, NULL
, node
)
7156 || vectorizable_shift (stmt
, NULL
, NULL
, node
)
7157 || vectorizable_operation (stmt
, NULL
, NULL
, node
)
7158 || vectorizable_assignment (stmt
, NULL
, NULL
, node
)
7159 || vectorizable_load (stmt
, NULL
, NULL
, node
, NULL
)
7160 || vectorizable_call (stmt
, NULL
, NULL
, node
)
7161 || vectorizable_store (stmt
, NULL
, NULL
, node
)
7162 || vectorizable_condition (stmt
, NULL
, NULL
, NULL
, 0, node
));
7167 if (dump_enabled_p ())
7169 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
7170 "not vectorized: relevant stmt not ");
7171 dump_printf (MSG_MISSED_OPTIMIZATION
, "supported: ");
7172 dump_gimple_stmt (MSG_MISSED_OPTIMIZATION
, TDF_SLIM
, stmt
, 0);
7173 dump_printf (MSG_MISSED_OPTIMIZATION
, "\n");
7182 /* Stmts that are (also) "live" (i.e. - that are used out of the loop)
7183 need extra handling, except for vectorizable reductions. */
7184 if (STMT_VINFO_LIVE_P (stmt_info
)
7185 && STMT_VINFO_TYPE (stmt_info
) != reduc_vec_info_type
)
7186 ok
= vectorizable_live_operation (stmt
, NULL
, NULL
);
7190 if (dump_enabled_p ())
7192 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
7193 "not vectorized: live stmt not ");
7194 dump_printf (MSG_MISSED_OPTIMIZATION
, "supported: ");
7195 dump_gimple_stmt (MSG_MISSED_OPTIMIZATION
, TDF_SLIM
, stmt
, 0);
7196 dump_printf (MSG_MISSED_OPTIMIZATION
, "\n");
7206 /* Function vect_transform_stmt.
7208 Create a vectorized stmt to replace STMT, and insert it at BSI. */
7211 vect_transform_stmt (gimple stmt
, gimple_stmt_iterator
*gsi
,
7212 bool *grouped_store
, slp_tree slp_node
,
7213 slp_instance slp_node_instance
)
7215 bool is_store
= false;
7216 gimple vec_stmt
= NULL
;
7217 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
7220 switch (STMT_VINFO_TYPE (stmt_info
))
7222 case type_demotion_vec_info_type
:
7223 case type_promotion_vec_info_type
:
7224 case type_conversion_vec_info_type
:
7225 done
= vectorizable_conversion (stmt
, gsi
, &vec_stmt
, slp_node
);
7229 case induc_vec_info_type
:
7230 gcc_assert (!slp_node
);
7231 done
= vectorizable_induction (stmt
, gsi
, &vec_stmt
);
7235 case shift_vec_info_type
:
7236 done
= vectorizable_shift (stmt
, gsi
, &vec_stmt
, slp_node
);
7240 case op_vec_info_type
:
7241 done
= vectorizable_operation (stmt
, gsi
, &vec_stmt
, slp_node
);
7245 case assignment_vec_info_type
:
7246 done
= vectorizable_assignment (stmt
, gsi
, &vec_stmt
, slp_node
);
7250 case load_vec_info_type
:
7251 done
= vectorizable_load (stmt
, gsi
, &vec_stmt
, slp_node
,
7256 case store_vec_info_type
:
7257 done
= vectorizable_store (stmt
, gsi
, &vec_stmt
, slp_node
);
7259 if (STMT_VINFO_GROUPED_ACCESS (stmt_info
) && !slp_node
)
7261 /* In case of interleaving, the whole chain is vectorized when the
7262 last store in the chain is reached. Store stmts before the last
7263 one are skipped, and there vec_stmt_info shouldn't be freed
7265 *grouped_store
= true;
7266 if (STMT_VINFO_VEC_STMT (stmt_info
))
7273 case condition_vec_info_type
:
7274 done
= vectorizable_condition (stmt
, gsi
, &vec_stmt
, NULL
, 0, slp_node
);
7278 case call_vec_info_type
:
7279 done
= vectorizable_call (stmt
, gsi
, &vec_stmt
, slp_node
);
7280 stmt
= gsi_stmt (*gsi
);
7281 if (is_gimple_call (stmt
)
7282 && gimple_call_internal_p (stmt
)
7283 && gimple_call_internal_fn (stmt
) == IFN_MASK_STORE
)
7287 case call_simd_clone_vec_info_type
:
7288 done
= vectorizable_simd_clone_call (stmt
, gsi
, &vec_stmt
, slp_node
);
7289 stmt
= gsi_stmt (*gsi
);
7292 case reduc_vec_info_type
:
7293 done
= vectorizable_reduction (stmt
, gsi
, &vec_stmt
, slp_node
);
7298 if (!STMT_VINFO_LIVE_P (stmt_info
))
7300 if (dump_enabled_p ())
7301 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
7302 "stmt not supported.\n");
7307 /* Handle inner-loop stmts whose DEF is used in the loop-nest that
7308 is being vectorized, but outside the immediately enclosing loop. */
7310 && STMT_VINFO_LOOP_VINFO (stmt_info
)
7311 && nested_in_vect_loop_p (LOOP_VINFO_LOOP (
7312 STMT_VINFO_LOOP_VINFO (stmt_info
)), stmt
)
7313 && STMT_VINFO_TYPE (stmt_info
) != reduc_vec_info_type
7314 && (STMT_VINFO_RELEVANT (stmt_info
) == vect_used_in_outer
7315 || STMT_VINFO_RELEVANT (stmt_info
) ==
7316 vect_used_in_outer_by_reduction
))
7318 struct loop
*innerloop
= LOOP_VINFO_LOOP (
7319 STMT_VINFO_LOOP_VINFO (stmt_info
))->inner
;
7320 imm_use_iterator imm_iter
;
7321 use_operand_p use_p
;
7325 if (dump_enabled_p ())
7326 dump_printf_loc (MSG_NOTE
, vect_location
,
7327 "Record the vdef for outer-loop vectorization.\n");
7329 /* Find the relevant loop-exit phi-node, and reord the vec_stmt there
7330 (to be used when vectorizing outer-loop stmts that use the DEF of
7332 if (gimple_code (stmt
) == GIMPLE_PHI
)
7333 scalar_dest
= PHI_RESULT (stmt
);
7335 scalar_dest
= gimple_assign_lhs (stmt
);
7337 FOR_EACH_IMM_USE_FAST (use_p
, imm_iter
, scalar_dest
)
7339 if (!flow_bb_inside_loop_p (innerloop
, gimple_bb (USE_STMT (use_p
))))
7341 exit_phi
= USE_STMT (use_p
);
7342 STMT_VINFO_VEC_STMT (vinfo_for_stmt (exit_phi
)) = vec_stmt
;
7347 /* Handle stmts whose DEF is used outside the loop-nest that is
7348 being vectorized. */
7349 if (STMT_VINFO_LIVE_P (stmt_info
)
7350 && STMT_VINFO_TYPE (stmt_info
) != reduc_vec_info_type
)
7352 done
= vectorizable_live_operation (stmt
, gsi
, &vec_stmt
);
7357 STMT_VINFO_VEC_STMT (stmt_info
) = vec_stmt
;
7363 /* Remove a group of stores (for SLP or interleaving), free their
7367 vect_remove_stores (gimple first_stmt
)
7369 gimple next
= first_stmt
;
7371 gimple_stmt_iterator next_si
;
7375 stmt_vec_info stmt_info
= vinfo_for_stmt (next
);
7377 tmp
= GROUP_NEXT_ELEMENT (stmt_info
);
7378 if (is_pattern_stmt_p (stmt_info
))
7379 next
= STMT_VINFO_RELATED_STMT (stmt_info
);
7380 /* Free the attached stmt_vec_info and remove the stmt. */
7381 next_si
= gsi_for_stmt (next
);
7382 unlink_stmt_vdef (next
);
7383 gsi_remove (&next_si
, true);
7384 release_defs (next
);
7385 free_stmt_vec_info (next
);
7391 /* Function new_stmt_vec_info.
7393 Create and initialize a new stmt_vec_info struct for STMT. */
7396 new_stmt_vec_info (gimple stmt
, loop_vec_info loop_vinfo
,
7397 bb_vec_info bb_vinfo
)
7400 res
= (stmt_vec_info
) xcalloc (1, sizeof (struct _stmt_vec_info
));
7402 STMT_VINFO_TYPE (res
) = undef_vec_info_type
;
7403 STMT_VINFO_STMT (res
) = stmt
;
7404 STMT_VINFO_LOOP_VINFO (res
) = loop_vinfo
;
7405 STMT_VINFO_BB_VINFO (res
) = bb_vinfo
;
7406 STMT_VINFO_RELEVANT (res
) = vect_unused_in_scope
;
7407 STMT_VINFO_LIVE_P (res
) = false;
7408 STMT_VINFO_VECTYPE (res
) = NULL
;
7409 STMT_VINFO_VEC_STMT (res
) = NULL
;
7410 STMT_VINFO_VECTORIZABLE (res
) = true;
7411 STMT_VINFO_IN_PATTERN_P (res
) = false;
7412 STMT_VINFO_RELATED_STMT (res
) = NULL
;
7413 STMT_VINFO_PATTERN_DEF_SEQ (res
) = NULL
;
7414 STMT_VINFO_DATA_REF (res
) = NULL
;
7416 STMT_VINFO_DR_BASE_ADDRESS (res
) = NULL
;
7417 STMT_VINFO_DR_OFFSET (res
) = NULL
;
7418 STMT_VINFO_DR_INIT (res
) = NULL
;
7419 STMT_VINFO_DR_STEP (res
) = NULL
;
7420 STMT_VINFO_DR_ALIGNED_TO (res
) = NULL
;
7422 if (gimple_code (stmt
) == GIMPLE_PHI
7423 && is_loop_header_bb_p (gimple_bb (stmt
)))
7424 STMT_VINFO_DEF_TYPE (res
) = vect_unknown_def_type
;
7426 STMT_VINFO_DEF_TYPE (res
) = vect_internal_def
;
7428 STMT_VINFO_SAME_ALIGN_REFS (res
).create (0);
7429 STMT_SLP_TYPE (res
) = loop_vect
;
7430 GROUP_FIRST_ELEMENT (res
) = NULL
;
7431 GROUP_NEXT_ELEMENT (res
) = NULL
;
7432 GROUP_SIZE (res
) = 0;
7433 GROUP_STORE_COUNT (res
) = 0;
7434 GROUP_GAP (res
) = 0;
7435 GROUP_SAME_DR_STMT (res
) = NULL
;
7441 /* Create a hash table for stmt_vec_info. */
7444 init_stmt_vec_info_vec (void)
7446 gcc_assert (!stmt_vec_info_vec
.exists ());
7447 stmt_vec_info_vec
.create (50);
7451 /* Free hash table for stmt_vec_info. */
7454 free_stmt_vec_info_vec (void)
7458 FOR_EACH_VEC_ELT (stmt_vec_info_vec
, i
, info
)
7460 free_stmt_vec_info (STMT_VINFO_STMT ((stmt_vec_info
) info
));
7461 gcc_assert (stmt_vec_info_vec
.exists ());
7462 stmt_vec_info_vec
.release ();
7466 /* Free stmt vectorization related info. */
7469 free_stmt_vec_info (gimple stmt
)
7471 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
7476 /* Check if this statement has a related "pattern stmt"
7477 (introduced by the vectorizer during the pattern recognition
7478 pass). Free pattern's stmt_vec_info and def stmt's stmt_vec_info
7480 if (STMT_VINFO_IN_PATTERN_P (stmt_info
))
7482 stmt_vec_info patt_info
7483 = vinfo_for_stmt (STMT_VINFO_RELATED_STMT (stmt_info
));
7486 gimple_seq seq
= STMT_VINFO_PATTERN_DEF_SEQ (patt_info
);
7487 gimple patt_stmt
= STMT_VINFO_STMT (patt_info
);
7488 gimple_set_bb (patt_stmt
, NULL
);
7489 tree lhs
= gimple_get_lhs (patt_stmt
);
7490 if (TREE_CODE (lhs
) == SSA_NAME
)
7491 release_ssa_name (lhs
);
7494 gimple_stmt_iterator si
;
7495 for (si
= gsi_start (seq
); !gsi_end_p (si
); gsi_next (&si
))
7497 gimple seq_stmt
= gsi_stmt (si
);
7498 gimple_set_bb (seq_stmt
, NULL
);
7499 lhs
= gimple_get_lhs (patt_stmt
);
7500 if (TREE_CODE (lhs
) == SSA_NAME
)
7501 release_ssa_name (lhs
);
7502 free_stmt_vec_info (seq_stmt
);
7505 free_stmt_vec_info (patt_stmt
);
7509 STMT_VINFO_SAME_ALIGN_REFS (stmt_info
).release ();
7510 STMT_VINFO_SIMD_CLONE_INFO (stmt_info
).release ();
7511 set_vinfo_for_stmt (stmt
, NULL
);
7516 /* Function get_vectype_for_scalar_type_and_size.
7518 Returns the vector type corresponding to SCALAR_TYPE and SIZE as supported
7522 get_vectype_for_scalar_type_and_size (tree scalar_type
, unsigned size
)
7524 machine_mode inner_mode
= TYPE_MODE (scalar_type
);
7525 machine_mode simd_mode
;
7526 unsigned int nbytes
= GET_MODE_SIZE (inner_mode
);
7533 if (GET_MODE_CLASS (inner_mode
) != MODE_INT
7534 && GET_MODE_CLASS (inner_mode
) != MODE_FLOAT
)
7537 /* For vector types of elements whose mode precision doesn't
7538 match their types precision we use a element type of mode
7539 precision. The vectorization routines will have to make sure
7540 they support the proper result truncation/extension.
7541 We also make sure to build vector types with INTEGER_TYPE
7542 component type only. */
7543 if (INTEGRAL_TYPE_P (scalar_type
)
7544 && (GET_MODE_BITSIZE (inner_mode
) != TYPE_PRECISION (scalar_type
)
7545 || TREE_CODE (scalar_type
) != INTEGER_TYPE
))
7546 scalar_type
= build_nonstandard_integer_type (GET_MODE_BITSIZE (inner_mode
),
7547 TYPE_UNSIGNED (scalar_type
));
7549 /* We shouldn't end up building VECTOR_TYPEs of non-scalar components.
7550 When the component mode passes the above test simply use a type
7551 corresponding to that mode. The theory is that any use that
7552 would cause problems with this will disable vectorization anyway. */
7553 else if (!SCALAR_FLOAT_TYPE_P (scalar_type
)
7554 && !INTEGRAL_TYPE_P (scalar_type
))
7555 scalar_type
= lang_hooks
.types
.type_for_mode (inner_mode
, 1);
7557 /* We can't build a vector type of elements with alignment bigger than
7559 else if (nbytes
< TYPE_ALIGN_UNIT (scalar_type
))
7560 scalar_type
= lang_hooks
.types
.type_for_mode (inner_mode
,
7561 TYPE_UNSIGNED (scalar_type
));
7563 /* If we felt back to using the mode fail if there was
7564 no scalar type for it. */
7565 if (scalar_type
== NULL_TREE
)
7568 /* If no size was supplied use the mode the target prefers. Otherwise
7569 lookup a vector mode of the specified size. */
7571 simd_mode
= targetm
.vectorize
.preferred_simd_mode (inner_mode
);
7573 simd_mode
= mode_for_vector (inner_mode
, size
/ nbytes
);
7574 nunits
= GET_MODE_SIZE (simd_mode
) / nbytes
;
7578 vectype
= build_vector_type (scalar_type
, nunits
);
7580 if (!VECTOR_MODE_P (TYPE_MODE (vectype
))
7581 && !INTEGRAL_MODE_P (TYPE_MODE (vectype
)))
7587 unsigned int current_vector_size
;
7589 /* Function get_vectype_for_scalar_type.
7591 Returns the vector type corresponding to SCALAR_TYPE as supported
7595 get_vectype_for_scalar_type (tree scalar_type
)
7598 vectype
= get_vectype_for_scalar_type_and_size (scalar_type
,
7599 current_vector_size
);
7601 && current_vector_size
== 0)
7602 current_vector_size
= GET_MODE_SIZE (TYPE_MODE (vectype
));
7606 /* Function get_same_sized_vectype
7608 Returns a vector type corresponding to SCALAR_TYPE of size
7609 VECTOR_TYPE if supported by the target. */
7612 get_same_sized_vectype (tree scalar_type
, tree vector_type
)
7614 return get_vectype_for_scalar_type_and_size
7615 (scalar_type
, GET_MODE_SIZE (TYPE_MODE (vector_type
)));
7618 /* Function vect_is_simple_use.
7621 LOOP_VINFO - the vect info of the loop that is being vectorized.
7622 BB_VINFO - the vect info of the basic block that is being vectorized.
7623 OPERAND - operand of STMT in the loop or bb.
7624 DEF - the defining stmt in case OPERAND is an SSA_NAME.
7626 Returns whether a stmt with OPERAND can be vectorized.
7627 For loops, supportable operands are constants, loop invariants, and operands
7628 that are defined by the current iteration of the loop. Unsupportable
7629 operands are those that are defined by a previous iteration of the loop (as
7630 is the case in reduction/induction computations).
7631 For basic blocks, supportable operands are constants and bb invariants.
7632 For now, operands defined outside the basic block are not supported. */
7635 vect_is_simple_use (tree operand
, gimple stmt
, loop_vec_info loop_vinfo
,
7636 bb_vec_info bb_vinfo
, gimple
*def_stmt
,
7637 tree
*def
, enum vect_def_type
*dt
)
7640 stmt_vec_info stmt_vinfo
;
7641 struct loop
*loop
= NULL
;
7644 loop
= LOOP_VINFO_LOOP (loop_vinfo
);
7649 if (dump_enabled_p ())
7651 dump_printf_loc (MSG_NOTE
, vect_location
,
7652 "vect_is_simple_use: operand ");
7653 dump_generic_expr (MSG_NOTE
, TDF_SLIM
, operand
);
7654 dump_printf (MSG_NOTE
, "\n");
7657 if (CONSTANT_CLASS_P (operand
))
7659 *dt
= vect_constant_def
;
7663 if (is_gimple_min_invariant (operand
))
7666 *dt
= vect_external_def
;
7670 if (TREE_CODE (operand
) == PAREN_EXPR
)
7672 if (dump_enabled_p ())
7673 dump_printf_loc (MSG_NOTE
, vect_location
, "non-associatable copy.\n");
7674 operand
= TREE_OPERAND (operand
, 0);
7677 if (TREE_CODE (operand
) != SSA_NAME
)
7679 if (dump_enabled_p ())
7680 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
7685 *def_stmt
= SSA_NAME_DEF_STMT (operand
);
7686 if (*def_stmt
== NULL
)
7688 if (dump_enabled_p ())
7689 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
7694 if (dump_enabled_p ())
7696 dump_printf_loc (MSG_NOTE
, vect_location
, "def_stmt: ");
7697 dump_gimple_stmt (MSG_NOTE
, TDF_SLIM
, *def_stmt
, 0);
7698 dump_printf (MSG_NOTE
, "\n");
7701 /* Empty stmt is expected only in case of a function argument.
7702 (Otherwise - we expect a phi_node or a GIMPLE_ASSIGN). */
7703 if (gimple_nop_p (*def_stmt
))
7706 *dt
= vect_external_def
;
7710 bb
= gimple_bb (*def_stmt
);
7712 if ((loop
&& !flow_bb_inside_loop_p (loop
, bb
))
7713 || (!loop
&& bb
!= BB_VINFO_BB (bb_vinfo
))
7714 || (!loop
&& gimple_code (*def_stmt
) == GIMPLE_PHI
))
7715 *dt
= vect_external_def
;
7718 stmt_vinfo
= vinfo_for_stmt (*def_stmt
);
7719 *dt
= STMT_VINFO_DEF_TYPE (stmt_vinfo
);
7722 if (*dt
== vect_unknown_def_type
7724 && *dt
== vect_double_reduction_def
7725 && gimple_code (stmt
) != GIMPLE_PHI
))
7727 if (dump_enabled_p ())
7728 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
7729 "Unsupported pattern.\n");
7733 if (dump_enabled_p ())
7734 dump_printf_loc (MSG_NOTE
, vect_location
, "type of def: %d.\n", *dt
);
7736 switch (gimple_code (*def_stmt
))
7739 *def
= gimple_phi_result (*def_stmt
);
7743 *def
= gimple_assign_lhs (*def_stmt
);
7747 *def
= gimple_call_lhs (*def_stmt
);
7752 if (dump_enabled_p ())
7753 dump_printf_loc (MSG_MISSED_OPTIMIZATION
, vect_location
,
7754 "unsupported defining stmt:\n");
7761 /* Function vect_is_simple_use_1.
7763 Same as vect_is_simple_use_1 but also determines the vector operand
7764 type of OPERAND and stores it to *VECTYPE. If the definition of
7765 OPERAND is vect_uninitialized_def, vect_constant_def or
7766 vect_external_def *VECTYPE will be set to NULL_TREE and the caller
7767 is responsible to compute the best suited vector type for the
7771 vect_is_simple_use_1 (tree operand
, gimple stmt
, loop_vec_info loop_vinfo
,
7772 bb_vec_info bb_vinfo
, gimple
*def_stmt
,
7773 tree
*def
, enum vect_def_type
*dt
, tree
*vectype
)
7775 if (!vect_is_simple_use (operand
, stmt
, loop_vinfo
, bb_vinfo
, def_stmt
,
7779 /* Now get a vector type if the def is internal, otherwise supply
7780 NULL_TREE and leave it up to the caller to figure out a proper
7781 type for the use stmt. */
7782 if (*dt
== vect_internal_def
7783 || *dt
== vect_induction_def
7784 || *dt
== vect_reduction_def
7785 || *dt
== vect_double_reduction_def
7786 || *dt
== vect_nested_cycle
)
7788 stmt_vec_info stmt_info
= vinfo_for_stmt (*def_stmt
);
7790 if (STMT_VINFO_IN_PATTERN_P (stmt_info
)
7791 && !STMT_VINFO_RELEVANT (stmt_info
)
7792 && !STMT_VINFO_LIVE_P (stmt_info
))
7793 stmt_info
= vinfo_for_stmt (STMT_VINFO_RELATED_STMT (stmt_info
));
7795 *vectype
= STMT_VINFO_VECTYPE (stmt_info
);
7796 gcc_assert (*vectype
!= NULL_TREE
);
7798 else if (*dt
== vect_uninitialized_def
7799 || *dt
== vect_constant_def
7800 || *dt
== vect_external_def
)
7801 *vectype
= NULL_TREE
;
7809 /* Function supportable_widening_operation
7811 Check whether an operation represented by the code CODE is a
7812 widening operation that is supported by the target platform in
7813 vector form (i.e., when operating on arguments of type VECTYPE_IN
7814 producing a result of type VECTYPE_OUT).
7816 Widening operations we currently support are NOP (CONVERT), FLOAT
7817 and WIDEN_MULT. This function checks if these operations are supported
7818 by the target platform either directly (via vector tree-codes), or via
7822 - CODE1 and CODE2 are codes of vector operations to be used when
7823 vectorizing the operation, if available.
7824 - MULTI_STEP_CVT determines the number of required intermediate steps in
7825 case of multi-step conversion (like char->short->int - in that case
7826 MULTI_STEP_CVT will be 1).
7827 - INTERM_TYPES contains the intermediate type required to perform the
7828 widening operation (short in the above example). */
7831 supportable_widening_operation (enum tree_code code
, gimple stmt
,
7832 tree vectype_out
, tree vectype_in
,
7833 enum tree_code
*code1
, enum tree_code
*code2
,
7834 int *multi_step_cvt
,
7835 vec
<tree
> *interm_types
)
7837 stmt_vec_info stmt_info
= vinfo_for_stmt (stmt
);
7838 loop_vec_info loop_info
= STMT_VINFO_LOOP_VINFO (stmt_info
);
7839 struct loop
*vect_loop
= NULL
;
7840 machine_mode vec_mode
;
7841 enum insn_code icode1
, icode2
;
7842 optab optab1
, optab2
;
7843 tree vectype
= vectype_in
;
7844 tree wide_vectype
= vectype_out
;
7845 enum tree_code c1
, c2
;
7847 tree prev_type
, intermediate_type
;
7848 machine_mode intermediate_mode
, prev_mode
;
7849 optab optab3
, optab4
;
7851 *multi_step_cvt
= 0;
7853 vect_loop
= LOOP_VINFO_LOOP (loop_info
);
7857 case WIDEN_MULT_EXPR
:
7858 /* The result of a vectorized widening operation usually requires
7859 two vectors (because the widened results do not fit into one vector).
7860 The generated vector results would normally be expected to be
7861 generated in the same order as in the original scalar computation,
7862 i.e. if 8 results are generated in each vector iteration, they are
7863 to be organized as follows:
7864 vect1: [res1,res2,res3,res4],
7865 vect2: [res5,res6,res7,res8].
7867 However, in the special case that the result of the widening
7868 operation is used in a reduction computation only, the order doesn't
7869 matter (because when vectorizing a reduction we change the order of
7870 the computation). Some targets can take advantage of this and
7871 generate more efficient code. For example, targets like Altivec,
7872 that support widen_mult using a sequence of {mult_even,mult_odd}
7873 generate the following vectors:
7874 vect1: [res1,res3,res5,res7],
7875 vect2: [res2,res4,res6,res8].
7877 When vectorizing outer-loops, we execute the inner-loop sequentially
7878 (each vectorized inner-loop iteration contributes to VF outer-loop
7879 iterations in parallel). We therefore don't allow to change the
7880 order of the computation in the inner-loop during outer-loop
7882 /* TODO: Another case in which order doesn't *really* matter is when we
7883 widen and then contract again, e.g. (short)((int)x * y >> 8).
7884 Normally, pack_trunc performs an even/odd permute, whereas the
7885 repack from an even/odd expansion would be an interleave, which
7886 would be significantly simpler for e.g. AVX2. */
7887 /* In any case, in order to avoid duplicating the code below, recurse
7888 on VEC_WIDEN_MULT_EVEN_EXPR. If it succeeds, all the return values
7889 are properly set up for the caller. If we fail, we'll continue with
7890 a VEC_WIDEN_MULT_LO/HI_EXPR check. */
7892 && STMT_VINFO_RELEVANT (stmt_info
) == vect_used_by_reduction
7893 && !nested_in_vect_loop_p (vect_loop
, stmt
)
7894 && supportable_widening_operation (VEC_WIDEN_MULT_EVEN_EXPR
,
7895 stmt
, vectype_out
, vectype_in
,
7896 code1
, code2
, multi_step_cvt
,
7899 /* Elements in a vector with vect_used_by_reduction property cannot
7900 be reordered if the use chain with this property does not have the
7901 same operation. One such an example is s += a * b, where elements
7902 in a and b cannot be reordered. Here we check if the vector defined
7903 by STMT is only directly used in the reduction statement. */
7904 tree lhs
= gimple_assign_lhs (stmt
);
7905 use_operand_p dummy
;
7907 stmt_vec_info use_stmt_info
= NULL
;
7908 if (single_imm_use (lhs
, &dummy
, &use_stmt
)
7909 && (use_stmt_info
= vinfo_for_stmt (use_stmt
))
7910 && STMT_VINFO_DEF_TYPE (use_stmt_info
) == vect_reduction_def
)
7913 c1
= VEC_WIDEN_MULT_LO_EXPR
;
7914 c2
= VEC_WIDEN_MULT_HI_EXPR
;
7917 case VEC_WIDEN_MULT_EVEN_EXPR
:
7918 /* Support the recursion induced just above. */
7919 c1
= VEC_WIDEN_MULT_EVEN_EXPR
;
7920 c2
= VEC_WIDEN_MULT_ODD_EXPR
;
7923 case WIDEN_LSHIFT_EXPR
:
7924 c1
= VEC_WIDEN_LSHIFT_LO_EXPR
;
7925 c2
= VEC_WIDEN_LSHIFT_HI_EXPR
;
7929 c1
= VEC_UNPACK_LO_EXPR
;
7930 c2
= VEC_UNPACK_HI_EXPR
;
7934 c1
= VEC_UNPACK_FLOAT_LO_EXPR
;
7935 c2
= VEC_UNPACK_FLOAT_HI_EXPR
;
7938 case FIX_TRUNC_EXPR
:
7939 /* ??? Not yet implemented due to missing VEC_UNPACK_FIX_TRUNC_HI_EXPR/
7940 VEC_UNPACK_FIX_TRUNC_LO_EXPR tree codes and optabs used for
7941 computing the operation. */
7948 if (BYTES_BIG_ENDIAN
&& c1
!= VEC_WIDEN_MULT_EVEN_EXPR
)
7950 enum tree_code ctmp
= c1
;
7955 if (code
== FIX_TRUNC_EXPR
)
7957 /* The signedness is determined from output operand. */
7958 optab1
= optab_for_tree_code (c1
, vectype_out
, optab_default
);
7959 optab2
= optab_for_tree_code (c2
, vectype_out
, optab_default
);
7963 optab1
= optab_for_tree_code (c1
, vectype
, optab_default
);
7964 optab2
= optab_for_tree_code (c2
, vectype
, optab_default
);
7967 if (!optab1
|| !optab2
)
7970 vec_mode
= TYPE_MODE (vectype
);
7971 if ((icode1
= optab_handler (optab1
, vec_mode
)) == CODE_FOR_nothing
7972 || (icode2
= optab_handler (optab2
, vec_mode
)) == CODE_FOR_nothing
)
7978 if (insn_data
[icode1
].operand
[0].mode
== TYPE_MODE (wide_vectype
)
7979 && insn_data
[icode2
].operand
[0].mode
== TYPE_MODE (wide_vectype
))
7982 /* Check if it's a multi-step conversion that can be done using intermediate
7985 prev_type
= vectype
;
7986 prev_mode
= vec_mode
;
7988 if (!CONVERT_EXPR_CODE_P (code
))
7991 /* We assume here that there will not be more than MAX_INTERM_CVT_STEPS
7992 intermediate steps in promotion sequence. We try
7993 MAX_INTERM_CVT_STEPS to get to NARROW_VECTYPE, and fail if we do
7995 interm_types
->create (MAX_INTERM_CVT_STEPS
);
7996 for (i
= 0; i
< MAX_INTERM_CVT_STEPS
; i
++)
7998 intermediate_mode
= insn_data
[icode1
].operand
[0].mode
;
8000 = lang_hooks
.types
.type_for_mode (intermediate_mode
,
8001 TYPE_UNSIGNED (prev_type
));
8002 optab3
= optab_for_tree_code (c1
, intermediate_type
, optab_default
);
8003 optab4
= optab_for_tree_code (c2
, intermediate_type
, optab_default
);
8005 if (!optab3
|| !optab4
8006 || (icode1
= optab_handler (optab1
, prev_mode
)) == CODE_FOR_nothing
8007 || insn_data
[icode1
].operand
[0].mode
!= intermediate_mode
8008 || (icode2
= optab_handler (optab2
, prev_mode
)) == CODE_FOR_nothing
8009 || insn_data
[icode2
].operand
[0].mode
!= intermediate_mode
8010 || ((icode1
= optab_handler (optab3
, intermediate_mode
))
8011 == CODE_FOR_nothing
)
8012 || ((icode2
= optab_handler (optab4
, intermediate_mode
))
8013 == CODE_FOR_nothing
))
8016 interm_types
->quick_push (intermediate_type
);
8017 (*multi_step_cvt
)++;
8019 if (insn_data
[icode1
].operand
[0].mode
== TYPE_MODE (wide_vectype
)
8020 && insn_data
[icode2
].operand
[0].mode
== TYPE_MODE (wide_vectype
))
8023 prev_type
= intermediate_type
;
8024 prev_mode
= intermediate_mode
;
8027 interm_types
->release ();
8032 /* Function supportable_narrowing_operation
8034 Check whether an operation represented by the code CODE is a
8035 narrowing operation that is supported by the target platform in
8036 vector form (i.e., when operating on arguments of type VECTYPE_IN
8037 and producing a result of type VECTYPE_OUT).
8039 Narrowing operations we currently support are NOP (CONVERT) and
8040 FIX_TRUNC. This function checks if these operations are supported by
8041 the target platform directly via vector tree-codes.
8044 - CODE1 is the code of a vector operation to be used when
8045 vectorizing the operation, if available.
8046 - MULTI_STEP_CVT determines the number of required intermediate steps in
8047 case of multi-step conversion (like int->short->char - in that case
8048 MULTI_STEP_CVT will be 1).
8049 - INTERM_TYPES contains the intermediate type required to perform the
8050 narrowing operation (short in the above example). */
8053 supportable_narrowing_operation (enum tree_code code
,
8054 tree vectype_out
, tree vectype_in
,
8055 enum tree_code
*code1
, int *multi_step_cvt
,
8056 vec
<tree
> *interm_types
)
8058 machine_mode vec_mode
;
8059 enum insn_code icode1
;
8060 optab optab1
, interm_optab
;
8061 tree vectype
= vectype_in
;
8062 tree narrow_vectype
= vectype_out
;
8064 tree intermediate_type
;
8065 machine_mode intermediate_mode
, prev_mode
;
8069 *multi_step_cvt
= 0;
8073 c1
= VEC_PACK_TRUNC_EXPR
;
8076 case FIX_TRUNC_EXPR
:
8077 c1
= VEC_PACK_FIX_TRUNC_EXPR
;
8081 /* ??? Not yet implemented due to missing VEC_PACK_FLOAT_EXPR
8082 tree code and optabs used for computing the operation. */
8089 if (code
== FIX_TRUNC_EXPR
)
8090 /* The signedness is determined from output operand. */
8091 optab1
= optab_for_tree_code (c1
, vectype_out
, optab_default
);
8093 optab1
= optab_for_tree_code (c1
, vectype
, optab_default
);
8098 vec_mode
= TYPE_MODE (vectype
);
8099 if ((icode1
= optab_handler (optab1
, vec_mode
)) == CODE_FOR_nothing
)
8104 if (insn_data
[icode1
].operand
[0].mode
== TYPE_MODE (narrow_vectype
))
8107 /* Check if it's a multi-step conversion that can be done using intermediate
8109 prev_mode
= vec_mode
;
8110 if (code
== FIX_TRUNC_EXPR
)
8111 uns
= TYPE_UNSIGNED (vectype_out
);
8113 uns
= TYPE_UNSIGNED (vectype
);
8115 /* For multi-step FIX_TRUNC_EXPR prefer signed floating to integer
8116 conversion over unsigned, as unsigned FIX_TRUNC_EXPR is often more
8117 costly than signed. */
8118 if (code
== FIX_TRUNC_EXPR
&& uns
)
8120 enum insn_code icode2
;
8123 = lang_hooks
.types
.type_for_mode (TYPE_MODE (vectype_out
), 0);
8125 = optab_for_tree_code (c1
, intermediate_type
, optab_default
);
8126 if (interm_optab
!= unknown_optab
8127 && (icode2
= optab_handler (optab1
, vec_mode
)) != CODE_FOR_nothing
8128 && insn_data
[icode1
].operand
[0].mode
8129 == insn_data
[icode2
].operand
[0].mode
)
8132 optab1
= interm_optab
;
8137 /* We assume here that there will not be more than MAX_INTERM_CVT_STEPS
8138 intermediate steps in promotion sequence. We try
8139 MAX_INTERM_CVT_STEPS to get to NARROW_VECTYPE, and fail if we do not. */
8140 interm_types
->create (MAX_INTERM_CVT_STEPS
);
8141 for (i
= 0; i
< MAX_INTERM_CVT_STEPS
; i
++)
8143 intermediate_mode
= insn_data
[icode1
].operand
[0].mode
;
8145 = lang_hooks
.types
.type_for_mode (intermediate_mode
, uns
);
8147 = optab_for_tree_code (VEC_PACK_TRUNC_EXPR
, intermediate_type
,
8150 || ((icode1
= optab_handler (optab1
, prev_mode
)) == CODE_FOR_nothing
)
8151 || insn_data
[icode1
].operand
[0].mode
!= intermediate_mode
8152 || ((icode1
= optab_handler (interm_optab
, intermediate_mode
))
8153 == CODE_FOR_nothing
))
8156 interm_types
->quick_push (intermediate_type
);
8157 (*multi_step_cvt
)++;
8159 if (insn_data
[icode1
].operand
[0].mode
== TYPE_MODE (narrow_vectype
))
8162 prev_mode
= intermediate_mode
;
8163 optab1
= interm_optab
;
8166 interm_types
->release ();