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1 /* Global, SSA-based optimizations using mathematical identities.
2 Copyright (C) 2005-2019 Free Software Foundation, Inc.
3
4 This file is part of GCC.
5
6 GCC is free software; you can redistribute it and/or modify it
7 under the terms of the GNU General Public License as published by the
8 Free Software Foundation; either version 3, or (at your option) any
9 later version.
10
11 GCC is distributed in the hope that it will be useful, but WITHOUT
12 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
13 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
14 for more details.
15
16 You should have received a copy of the GNU General Public License
17 along with GCC; see the file COPYING3. If not see
18 <http://www.gnu.org/licenses/>. */
19
20 /* Currently, the only mini-pass in this file tries to CSE reciprocal
21 operations. These are common in sequences such as this one:
22
23 modulus = sqrt(x*x + y*y + z*z);
24 x = x / modulus;
25 y = y / modulus;
26 z = z / modulus;
27
28 that can be optimized to
29
30 modulus = sqrt(x*x + y*y + z*z);
31 rmodulus = 1.0 / modulus;
32 x = x * rmodulus;
33 y = y * rmodulus;
34 z = z * rmodulus;
35
36 We do this for loop invariant divisors, and with this pass whenever
37 we notice that a division has the same divisor multiple times.
38
39 Of course, like in PRE, we don't insert a division if a dominator
40 already has one. However, this cannot be done as an extension of
41 PRE for several reasons.
42
43 First of all, with some experiments it was found out that the
44 transformation is not always useful if there are only two divisions
45 by the same divisor. This is probably because modern processors
46 can pipeline the divisions; on older, in-order processors it should
47 still be effective to optimize two divisions by the same number.
48 We make this a param, and it shall be called N in the remainder of
49 this comment.
50
51 Second, if trapping math is active, we have less freedom on where
52 to insert divisions: we can only do so in basic blocks that already
53 contain one. (If divisions don't trap, instead, we can insert
54 divisions elsewhere, which will be in blocks that are common dominators
55 of those that have the division).
56
57 We really don't want to compute the reciprocal unless a division will
58 be found. To do this, we won't insert the division in a basic block
59 that has less than N divisions *post-dominating* it.
60
61 The algorithm constructs a subset of the dominator tree, holding the
62 blocks containing the divisions and the common dominators to them,
63 and walk it twice. The first walk is in post-order, and it annotates
64 each block with the number of divisions that post-dominate it: this
65 gives information on where divisions can be inserted profitably.
66 The second walk is in pre-order, and it inserts divisions as explained
67 above, and replaces divisions by multiplications.
68
69 In the best case, the cost of the pass is O(n_statements). In the
70 worst-case, the cost is due to creating the dominator tree subset,
71 with a cost of O(n_basic_blocks ^ 2); however this can only happen
72 for n_statements / n_basic_blocks statements. So, the amortized cost
73 of creating the dominator tree subset is O(n_basic_blocks) and the
74 worst-case cost of the pass is O(n_statements * n_basic_blocks).
75
76 More practically, the cost will be small because there are few
77 divisions, and they tend to be in the same basic block, so insert_bb
78 is called very few times.
79
80 If we did this using domwalk.c, an efficient implementation would have
81 to work on all the variables in a single pass, because we could not
82 work on just a subset of the dominator tree, as we do now, and the
83 cost would also be something like O(n_statements * n_basic_blocks).
84 The data structures would be more complex in order to work on all the
85 variables in a single pass. */
86
87 #include "config.h"
88 #include "system.h"
89 #include "coretypes.h"
90 #include "backend.h"
91 #include "target.h"
92 #include "rtl.h"
93 #include "tree.h"
94 #include "gimple.h"
95 #include "predict.h"
96 #include "alloc-pool.h"
97 #include "tree-pass.h"
98 #include "ssa.h"
99 #include "optabs-tree.h"
100 #include "gimple-pretty-print.h"
101 #include "alias.h"
102 #include "fold-const.h"
103 #include "gimple-fold.h"
104 #include "gimple-iterator.h"
105 #include "gimplify.h"
106 #include "gimplify-me.h"
107 #include "stor-layout.h"
108 #include "tree-cfg.h"
109 #include "tree-dfa.h"
110 #include "tree-ssa.h"
111 #include "builtins.h"
112 #include "params.h"
113 #include "internal-fn.h"
114 #include "case-cfn-macros.h"
115 #include "optabs-libfuncs.h"
116 #include "tree-eh.h"
117 #include "targhooks.h"
118 #include "domwalk.h"
119
120 /* This structure represents one basic block that either computes a
121 division, or is a common dominator for basic block that compute a
122 division. */
123 struct occurrence {
124 /* The basic block represented by this structure. */
125 basic_block bb;
126
127 /* If non-NULL, the SSA_NAME holding the definition for a reciprocal
128 inserted in BB. */
129 tree recip_def;
130
131 /* If non-NULL, the SSA_NAME holding the definition for a squared
132 reciprocal inserted in BB. */
133 tree square_recip_def;
134
135 /* If non-NULL, the GIMPLE_ASSIGN for a reciprocal computation that
136 was inserted in BB. */
137 gimple *recip_def_stmt;
138
139 /* Pointer to a list of "struct occurrence"s for blocks dominated
140 by BB. */
141 struct occurrence *children;
142
143 /* Pointer to the next "struct occurrence"s in the list of blocks
144 sharing a common dominator. */
145 struct occurrence *next;
146
147 /* The number of divisions that are in BB before compute_merit. The
148 number of divisions that are in BB or post-dominate it after
149 compute_merit. */
150 int num_divisions;
151
152 /* True if the basic block has a division, false if it is a common
153 dominator for basic blocks that do. If it is false and trapping
154 math is active, BB is not a candidate for inserting a reciprocal. */
155 bool bb_has_division;
156 };
157
158 static struct
159 {
160 /* Number of 1.0/X ops inserted. */
161 int rdivs_inserted;
162
163 /* Number of 1.0/FUNC ops inserted. */
164 int rfuncs_inserted;
165 } reciprocal_stats;
166
167 static struct
168 {
169 /* Number of cexpi calls inserted. */
170 int inserted;
171 } sincos_stats;
172
173 static struct
174 {
175 /* Number of widening multiplication ops inserted. */
176 int widen_mults_inserted;
177
178 /* Number of integer multiply-and-accumulate ops inserted. */
179 int maccs_inserted;
180
181 /* Number of fp fused multiply-add ops inserted. */
182 int fmas_inserted;
183
184 /* Number of divmod calls inserted. */
185 int divmod_calls_inserted;
186 } widen_mul_stats;
187
188 /* The instance of "struct occurrence" representing the highest
189 interesting block in the dominator tree. */
190 static struct occurrence *occ_head;
191
192 /* Allocation pool for getting instances of "struct occurrence". */
193 static object_allocator<occurrence> *occ_pool;
194
195
196
197 /* Allocate and return a new struct occurrence for basic block BB, and
198 whose children list is headed by CHILDREN. */
199 static struct occurrence *
200 occ_new (basic_block bb, struct occurrence *children)
201 {
202 struct occurrence *occ;
203
204 bb->aux = occ = occ_pool->allocate ();
205 memset (occ, 0, sizeof (struct occurrence));
206
207 occ->bb = bb;
208 occ->children = children;
209 return occ;
210 }
211
212
213 /* Insert NEW_OCC into our subset of the dominator tree. P_HEAD points to a
214 list of "struct occurrence"s, one per basic block, having IDOM as
215 their common dominator.
216
217 We try to insert NEW_OCC as deep as possible in the tree, and we also
218 insert any other block that is a common dominator for BB and one
219 block already in the tree. */
220
221 static void
222 insert_bb (struct occurrence *new_occ, basic_block idom,
223 struct occurrence **p_head)
224 {
225 struct occurrence *occ, **p_occ;
226
227 for (p_occ = p_head; (occ = *p_occ) != NULL; )
228 {
229 basic_block bb = new_occ->bb, occ_bb = occ->bb;
230 basic_block dom = nearest_common_dominator (CDI_DOMINATORS, occ_bb, bb);
231 if (dom == bb)
232 {
233 /* BB dominates OCC_BB. OCC becomes NEW_OCC's child: remove OCC
234 from its list. */
235 *p_occ = occ->next;
236 occ->next = new_occ->children;
237 new_occ->children = occ;
238
239 /* Try the next block (it may as well be dominated by BB). */
240 }
241
242 else if (dom == occ_bb)
243 {
244 /* OCC_BB dominates BB. Tail recurse to look deeper. */
245 insert_bb (new_occ, dom, &occ->children);
246 return;
247 }
248
249 else if (dom != idom)
250 {
251 gcc_assert (!dom->aux);
252
253 /* There is a dominator between IDOM and BB, add it and make
254 two children out of NEW_OCC and OCC. First, remove OCC from
255 its list. */
256 *p_occ = occ->next;
257 new_occ->next = occ;
258 occ->next = NULL;
259
260 /* None of the previous blocks has DOM as a dominator: if we tail
261 recursed, we would reexamine them uselessly. Just switch BB with
262 DOM, and go on looking for blocks dominated by DOM. */
263 new_occ = occ_new (dom, new_occ);
264 }
265
266 else
267 {
268 /* Nothing special, go on with the next element. */
269 p_occ = &occ->next;
270 }
271 }
272
273 /* No place was found as a child of IDOM. Make BB a sibling of IDOM. */
274 new_occ->next = *p_head;
275 *p_head = new_occ;
276 }
277
278 /* Register that we found a division in BB.
279 IMPORTANCE is a measure of how much weighting to give
280 that division. Use IMPORTANCE = 2 to register a single
281 division. If the division is going to be found multiple
282 times use 1 (as it is with squares). */
283
284 static inline void
285 register_division_in (basic_block bb, int importance)
286 {
287 struct occurrence *occ;
288
289 occ = (struct occurrence *) bb->aux;
290 if (!occ)
291 {
292 occ = occ_new (bb, NULL);
293 insert_bb (occ, ENTRY_BLOCK_PTR_FOR_FN (cfun), &occ_head);
294 }
295
296 occ->bb_has_division = true;
297 occ->num_divisions += importance;
298 }
299
300
301 /* Compute the number of divisions that postdominate each block in OCC and
302 its children. */
303
304 static void
305 compute_merit (struct occurrence *occ)
306 {
307 struct occurrence *occ_child;
308 basic_block dom = occ->bb;
309
310 for (occ_child = occ->children; occ_child; occ_child = occ_child->next)
311 {
312 basic_block bb;
313 if (occ_child->children)
314 compute_merit (occ_child);
315
316 if (flag_exceptions)
317 bb = single_noncomplex_succ (dom);
318 else
319 bb = dom;
320
321 if (dominated_by_p (CDI_POST_DOMINATORS, bb, occ_child->bb))
322 occ->num_divisions += occ_child->num_divisions;
323 }
324 }
325
326
327 /* Return whether USE_STMT is a floating-point division by DEF. */
328 static inline bool
329 is_division_by (gimple *use_stmt, tree def)
330 {
331 return is_gimple_assign (use_stmt)
332 && gimple_assign_rhs_code (use_stmt) == RDIV_EXPR
333 && gimple_assign_rhs2 (use_stmt) == def
334 /* Do not recognize x / x as valid division, as we are getting
335 confused later by replacing all immediate uses x in such
336 a stmt. */
337 && gimple_assign_rhs1 (use_stmt) != def
338 && !stmt_can_throw_internal (cfun, use_stmt);
339 }
340
341 /* Return TRUE if USE_STMT is a multiplication of DEF by A. */
342 static inline bool
343 is_mult_by (gimple *use_stmt, tree def, tree a)
344 {
345 if (gimple_code (use_stmt) == GIMPLE_ASSIGN
346 && gimple_assign_rhs_code (use_stmt) == MULT_EXPR)
347 {
348 tree op0 = gimple_assign_rhs1 (use_stmt);
349 tree op1 = gimple_assign_rhs2 (use_stmt);
350
351 return (op0 == def && op1 == a)
352 || (op0 == a && op1 == def);
353 }
354 return 0;
355 }
356
357 /* Return whether USE_STMT is DEF * DEF. */
358 static inline bool
359 is_square_of (gimple *use_stmt, tree def)
360 {
361 return is_mult_by (use_stmt, def, def);
362 }
363
364 /* Return whether USE_STMT is a floating-point division by
365 DEF * DEF. */
366 static inline bool
367 is_division_by_square (gimple *use_stmt, tree def)
368 {
369 if (gimple_code (use_stmt) == GIMPLE_ASSIGN
370 && gimple_assign_rhs_code (use_stmt) == RDIV_EXPR
371 && gimple_assign_rhs1 (use_stmt) != gimple_assign_rhs2 (use_stmt)
372 && !stmt_can_throw_internal (cfun, use_stmt))
373 {
374 tree denominator = gimple_assign_rhs2 (use_stmt);
375 if (TREE_CODE (denominator) == SSA_NAME)
376 return is_square_of (SSA_NAME_DEF_STMT (denominator), def);
377 }
378 return 0;
379 }
380
381 /* Walk the subset of the dominator tree rooted at OCC, setting the
382 RECIP_DEF field to a definition of 1.0 / DEF that can be used in
383 the given basic block. The field may be left NULL, of course,
384 if it is not possible or profitable to do the optimization.
385
386 DEF_BSI is an iterator pointing at the statement defining DEF.
387 If RECIP_DEF is set, a dominator already has a computation that can
388 be used.
389
390 If should_insert_square_recip is set, then this also inserts
391 the square of the reciprocal immediately after the definition
392 of the reciprocal. */
393
394 static void
395 insert_reciprocals (gimple_stmt_iterator *def_gsi, struct occurrence *occ,
396 tree def, tree recip_def, tree square_recip_def,
397 int should_insert_square_recip, int threshold)
398 {
399 tree type;
400 gassign *new_stmt, *new_square_stmt;
401 gimple_stmt_iterator gsi;
402 struct occurrence *occ_child;
403
404 if (!recip_def
405 && (occ->bb_has_division || !flag_trapping_math)
406 /* Divide by two as all divisions are counted twice in
407 the costing loop. */
408 && occ->num_divisions / 2 >= threshold)
409 {
410 /* Make a variable with the replacement and substitute it. */
411 type = TREE_TYPE (def);
412 recip_def = create_tmp_reg (type, "reciptmp");
413 new_stmt = gimple_build_assign (recip_def, RDIV_EXPR,
414 build_one_cst (type), def);
415
416 if (should_insert_square_recip)
417 {
418 square_recip_def = create_tmp_reg (type, "powmult_reciptmp");
419 new_square_stmt = gimple_build_assign (square_recip_def, MULT_EXPR,
420 recip_def, recip_def);
421 }
422
423 if (occ->bb_has_division)
424 {
425 /* Case 1: insert before an existing division. */
426 gsi = gsi_after_labels (occ->bb);
427 while (!gsi_end_p (gsi)
428 && (!is_division_by (gsi_stmt (gsi), def))
429 && (!is_division_by_square (gsi_stmt (gsi), def)))
430 gsi_next (&gsi);
431
432 gsi_insert_before (&gsi, new_stmt, GSI_SAME_STMT);
433 if (should_insert_square_recip)
434 gsi_insert_before (&gsi, new_square_stmt, GSI_SAME_STMT);
435 }
436 else if (def_gsi && occ->bb == def_gsi->bb)
437 {
438 /* Case 2: insert right after the definition. Note that this will
439 never happen if the definition statement can throw, because in
440 that case the sole successor of the statement's basic block will
441 dominate all the uses as well. */
442 gsi_insert_after (def_gsi, new_stmt, GSI_NEW_STMT);
443 if (should_insert_square_recip)
444 gsi_insert_after (def_gsi, new_square_stmt, GSI_NEW_STMT);
445 }
446 else
447 {
448 /* Case 3: insert in a basic block not containing defs/uses. */
449 gsi = gsi_after_labels (occ->bb);
450 gsi_insert_before (&gsi, new_stmt, GSI_SAME_STMT);
451 if (should_insert_square_recip)
452 gsi_insert_before (&gsi, new_square_stmt, GSI_SAME_STMT);
453 }
454
455 reciprocal_stats.rdivs_inserted++;
456
457 occ->recip_def_stmt = new_stmt;
458 }
459
460 occ->recip_def = recip_def;
461 occ->square_recip_def = square_recip_def;
462 for (occ_child = occ->children; occ_child; occ_child = occ_child->next)
463 insert_reciprocals (def_gsi, occ_child, def, recip_def,
464 square_recip_def, should_insert_square_recip,
465 threshold);
466 }
467
468 /* Replace occurrences of expr / (x * x) with expr * ((1 / x) * (1 / x)).
469 Take as argument the use for (x * x). */
470 static inline void
471 replace_reciprocal_squares (use_operand_p use_p)
472 {
473 gimple *use_stmt = USE_STMT (use_p);
474 basic_block bb = gimple_bb (use_stmt);
475 struct occurrence *occ = (struct occurrence *) bb->aux;
476
477 if (optimize_bb_for_speed_p (bb) && occ->square_recip_def
478 && occ->recip_def)
479 {
480 gimple_stmt_iterator gsi = gsi_for_stmt (use_stmt);
481 gimple_assign_set_rhs_code (use_stmt, MULT_EXPR);
482 gimple_assign_set_rhs2 (use_stmt, occ->square_recip_def);
483 SET_USE (use_p, occ->square_recip_def);
484 fold_stmt_inplace (&gsi);
485 update_stmt (use_stmt);
486 }
487 }
488
489
490 /* Replace the division at USE_P with a multiplication by the reciprocal, if
491 possible. */
492
493 static inline void
494 replace_reciprocal (use_operand_p use_p)
495 {
496 gimple *use_stmt = USE_STMT (use_p);
497 basic_block bb = gimple_bb (use_stmt);
498 struct occurrence *occ = (struct occurrence *) bb->aux;
499
500 if (optimize_bb_for_speed_p (bb)
501 && occ->recip_def && use_stmt != occ->recip_def_stmt)
502 {
503 gimple_stmt_iterator gsi = gsi_for_stmt (use_stmt);
504 gimple_assign_set_rhs_code (use_stmt, MULT_EXPR);
505 SET_USE (use_p, occ->recip_def);
506 fold_stmt_inplace (&gsi);
507 update_stmt (use_stmt);
508 }
509 }
510
511
512 /* Free OCC and return one more "struct occurrence" to be freed. */
513
514 static struct occurrence *
515 free_bb (struct occurrence *occ)
516 {
517 struct occurrence *child, *next;
518
519 /* First get the two pointers hanging off OCC. */
520 next = occ->next;
521 child = occ->children;
522 occ->bb->aux = NULL;
523 occ_pool->remove (occ);
524
525 /* Now ensure that we don't recurse unless it is necessary. */
526 if (!child)
527 return next;
528 else
529 {
530 while (next)
531 next = free_bb (next);
532
533 return child;
534 }
535 }
536
537 /* Transform sequences like
538 t = sqrt (a)
539 x = 1.0 / t;
540 r1 = x * x;
541 r2 = a * x;
542 into:
543 t = sqrt (a)
544 r1 = 1.0 / a;
545 r2 = t;
546 x = r1 * r2;
547 depending on the uses of x, r1, r2. This removes one multiplication and
548 allows the sqrt and division operations to execute in parallel.
549 DEF_GSI is the gsi of the initial division by sqrt that defines
550 DEF (x in the example above). */
551
552 static void
553 optimize_recip_sqrt (gimple_stmt_iterator *def_gsi, tree def)
554 {
555 gimple *use_stmt;
556 imm_use_iterator use_iter;
557 gimple *stmt = gsi_stmt (*def_gsi);
558 tree x = def;
559 tree orig_sqrt_ssa_name = gimple_assign_rhs2 (stmt);
560 tree div_rhs1 = gimple_assign_rhs1 (stmt);
561
562 if (TREE_CODE (orig_sqrt_ssa_name) != SSA_NAME
563 || TREE_CODE (div_rhs1) != REAL_CST
564 || !real_equal (&TREE_REAL_CST (div_rhs1), &dconst1))
565 return;
566
567 gcall *sqrt_stmt
568 = dyn_cast <gcall *> (SSA_NAME_DEF_STMT (orig_sqrt_ssa_name));
569
570 if (!sqrt_stmt || !gimple_call_lhs (sqrt_stmt))
571 return;
572
573 switch (gimple_call_combined_fn (sqrt_stmt))
574 {
575 CASE_CFN_SQRT:
576 CASE_CFN_SQRT_FN:
577 break;
578
579 default:
580 return;
581 }
582 tree a = gimple_call_arg (sqrt_stmt, 0);
583
584 /* We have 'a' and 'x'. Now analyze the uses of 'x'. */
585
586 /* Statements that use x in x * x. */
587 auto_vec<gimple *> sqr_stmts;
588 /* Statements that use x in a * x. */
589 auto_vec<gimple *> mult_stmts;
590 bool has_other_use = false;
591 bool mult_on_main_path = false;
592
593 FOR_EACH_IMM_USE_STMT (use_stmt, use_iter, x)
594 {
595 if (is_gimple_debug (use_stmt))
596 continue;
597 if (is_square_of (use_stmt, x))
598 {
599 sqr_stmts.safe_push (use_stmt);
600 if (gimple_bb (use_stmt) == gimple_bb (stmt))
601 mult_on_main_path = true;
602 }
603 else if (is_mult_by (use_stmt, x, a))
604 {
605 mult_stmts.safe_push (use_stmt);
606 if (gimple_bb (use_stmt) == gimple_bb (stmt))
607 mult_on_main_path = true;
608 }
609 else
610 has_other_use = true;
611 }
612
613 /* In the x * x and a * x cases we just rewire stmt operands or
614 remove multiplications. In the has_other_use case we introduce
615 a multiplication so make sure we don't introduce a multiplication
616 on a path where there was none. */
617 if (has_other_use && !mult_on_main_path)
618 return;
619
620 if (sqr_stmts.is_empty () && mult_stmts.is_empty ())
621 return;
622
623 /* If x = 1.0 / sqrt (a) has uses other than those optimized here we want
624 to be able to compose it from the sqr and mult cases. */
625 if (has_other_use && (sqr_stmts.is_empty () || mult_stmts.is_empty ()))
626 return;
627
628 if (dump_file)
629 {
630 fprintf (dump_file, "Optimizing reciprocal sqrt multiplications of\n");
631 print_gimple_stmt (dump_file, sqrt_stmt, 0, TDF_NONE);
632 print_gimple_stmt (dump_file, stmt, 0, TDF_NONE);
633 fprintf (dump_file, "\n");
634 }
635
636 bool delete_div = !has_other_use;
637 tree sqr_ssa_name = NULL_TREE;
638 if (!sqr_stmts.is_empty ())
639 {
640 /* r1 = x * x. Transform the original
641 x = 1.0 / t
642 into
643 tmp1 = 1.0 / a
644 r1 = tmp1. */
645
646 sqr_ssa_name
647 = make_temp_ssa_name (TREE_TYPE (a), NULL, "recip_sqrt_sqr");
648
649 if (dump_file)
650 {
651 fprintf (dump_file, "Replacing original division\n");
652 print_gimple_stmt (dump_file, stmt, 0, TDF_NONE);
653 fprintf (dump_file, "with new division\n");
654 }
655 stmt
656 = gimple_build_assign (sqr_ssa_name, gimple_assign_rhs_code (stmt),
657 gimple_assign_rhs1 (stmt), a);
658 gsi_insert_before (def_gsi, stmt, GSI_SAME_STMT);
659 gsi_remove (def_gsi, true);
660 *def_gsi = gsi_for_stmt (stmt);
661 fold_stmt_inplace (def_gsi);
662 update_stmt (stmt);
663
664 if (dump_file)
665 print_gimple_stmt (dump_file, stmt, 0, TDF_NONE);
666
667 delete_div = false;
668 gimple *sqr_stmt;
669 unsigned int i;
670 FOR_EACH_VEC_ELT (sqr_stmts, i, sqr_stmt)
671 {
672 gimple_stmt_iterator gsi2 = gsi_for_stmt (sqr_stmt);
673 gimple_assign_set_rhs_from_tree (&gsi2, sqr_ssa_name);
674 update_stmt (sqr_stmt);
675 }
676 }
677 if (!mult_stmts.is_empty ())
678 {
679 /* r2 = a * x. Transform this into:
680 r2 = t (The original sqrt (a)). */
681 unsigned int i;
682 gimple *mult_stmt = NULL;
683 FOR_EACH_VEC_ELT (mult_stmts, i, mult_stmt)
684 {
685 gimple_stmt_iterator gsi2 = gsi_for_stmt (mult_stmt);
686
687 if (dump_file)
688 {
689 fprintf (dump_file, "Replacing squaring multiplication\n");
690 print_gimple_stmt (dump_file, mult_stmt, 0, TDF_NONE);
691 fprintf (dump_file, "with assignment\n");
692 }
693 gimple_assign_set_rhs_from_tree (&gsi2, orig_sqrt_ssa_name);
694 fold_stmt_inplace (&gsi2);
695 update_stmt (mult_stmt);
696 if (dump_file)
697 print_gimple_stmt (dump_file, mult_stmt, 0, TDF_NONE);
698 }
699 }
700
701 if (has_other_use)
702 {
703 /* Using the two temporaries tmp1, tmp2 from above
704 the original x is now:
705 x = tmp1 * tmp2. */
706 gcc_assert (orig_sqrt_ssa_name);
707 gcc_assert (sqr_ssa_name);
708
709 gimple *new_stmt
710 = gimple_build_assign (x, MULT_EXPR,
711 orig_sqrt_ssa_name, sqr_ssa_name);
712 gsi_insert_after (def_gsi, new_stmt, GSI_NEW_STMT);
713 update_stmt (stmt);
714 }
715 else if (delete_div)
716 {
717 /* Remove the original division. */
718 gimple_stmt_iterator gsi2 = gsi_for_stmt (stmt);
719 gsi_remove (&gsi2, true);
720 release_defs (stmt);
721 }
722 else
723 release_ssa_name (x);
724 }
725
726 /* Look for floating-point divisions among DEF's uses, and try to
727 replace them by multiplications with the reciprocal. Add
728 as many statements computing the reciprocal as needed.
729
730 DEF must be a GIMPLE register of a floating-point type. */
731
732 static void
733 execute_cse_reciprocals_1 (gimple_stmt_iterator *def_gsi, tree def)
734 {
735 use_operand_p use_p, square_use_p;
736 imm_use_iterator use_iter, square_use_iter;
737 tree square_def;
738 struct occurrence *occ;
739 int count = 0;
740 int threshold;
741 int square_recip_count = 0;
742 int sqrt_recip_count = 0;
743
744 gcc_assert (FLOAT_TYPE_P (TREE_TYPE (def)) && TREE_CODE (def) == SSA_NAME);
745 threshold = targetm.min_divisions_for_recip_mul (TYPE_MODE (TREE_TYPE (def)));
746
747 /* If DEF is a square (x * x), count the number of divisions by x.
748 If there are more divisions by x than by (DEF * DEF), prefer to optimize
749 the reciprocal of x instead of DEF. This improves cases like:
750 def = x * x
751 t0 = a / def
752 t1 = b / def
753 t2 = c / x
754 Reciprocal optimization of x results in 1 division rather than 2 or 3. */
755 gimple *def_stmt = SSA_NAME_DEF_STMT (def);
756
757 if (is_gimple_assign (def_stmt)
758 && gimple_assign_rhs_code (def_stmt) == MULT_EXPR
759 && TREE_CODE (gimple_assign_rhs1 (def_stmt)) == SSA_NAME
760 && gimple_assign_rhs1 (def_stmt) == gimple_assign_rhs2 (def_stmt))
761 {
762 tree op0 = gimple_assign_rhs1 (def_stmt);
763
764 FOR_EACH_IMM_USE_FAST (use_p, use_iter, op0)
765 {
766 gimple *use_stmt = USE_STMT (use_p);
767 if (is_division_by (use_stmt, op0))
768 sqrt_recip_count++;
769 }
770 }
771
772 FOR_EACH_IMM_USE_FAST (use_p, use_iter, def)
773 {
774 gimple *use_stmt = USE_STMT (use_p);
775 if (is_division_by (use_stmt, def))
776 {
777 register_division_in (gimple_bb (use_stmt), 2);
778 count++;
779 }
780
781 if (is_square_of (use_stmt, def))
782 {
783 square_def = gimple_assign_lhs (use_stmt);
784 FOR_EACH_IMM_USE_FAST (square_use_p, square_use_iter, square_def)
785 {
786 gimple *square_use_stmt = USE_STMT (square_use_p);
787 if (is_division_by (square_use_stmt, square_def))
788 {
789 /* This is executed twice for each division by a square. */
790 register_division_in (gimple_bb (square_use_stmt), 1);
791 square_recip_count++;
792 }
793 }
794 }
795 }
796
797 /* Square reciprocals were counted twice above. */
798 square_recip_count /= 2;
799
800 /* If it is more profitable to optimize 1 / x, don't optimize 1 / (x * x). */
801 if (sqrt_recip_count > square_recip_count)
802 goto out;
803
804 /* Do the expensive part only if we can hope to optimize something. */
805 if (count + square_recip_count >= threshold && count >= 1)
806 {
807 gimple *use_stmt;
808 for (occ = occ_head; occ; occ = occ->next)
809 {
810 compute_merit (occ);
811 insert_reciprocals (def_gsi, occ, def, NULL, NULL,
812 square_recip_count, threshold);
813 }
814
815 FOR_EACH_IMM_USE_STMT (use_stmt, use_iter, def)
816 {
817 if (is_division_by (use_stmt, def))
818 {
819 FOR_EACH_IMM_USE_ON_STMT (use_p, use_iter)
820 replace_reciprocal (use_p);
821 }
822 else if (square_recip_count > 0 && is_square_of (use_stmt, def))
823 {
824 FOR_EACH_IMM_USE_ON_STMT (use_p, use_iter)
825 {
826 /* Find all uses of the square that are divisions and
827 * replace them by multiplications with the inverse. */
828 imm_use_iterator square_iterator;
829 gimple *powmult_use_stmt = USE_STMT (use_p);
830 tree powmult_def_name = gimple_assign_lhs (powmult_use_stmt);
831
832 FOR_EACH_IMM_USE_STMT (powmult_use_stmt,
833 square_iterator, powmult_def_name)
834 FOR_EACH_IMM_USE_ON_STMT (square_use_p, square_iterator)
835 {
836 gimple *powmult_use_stmt = USE_STMT (square_use_p);
837 if (is_division_by (powmult_use_stmt, powmult_def_name))
838 replace_reciprocal_squares (square_use_p);
839 }
840 }
841 }
842 }
843 }
844
845 out:
846 for (occ = occ_head; occ; )
847 occ = free_bb (occ);
848
849 occ_head = NULL;
850 }
851
852 /* Return an internal function that implements the reciprocal of CALL,
853 or IFN_LAST if there is no such function that the target supports. */
854
855 internal_fn
856 internal_fn_reciprocal (gcall *call)
857 {
858 internal_fn ifn;
859
860 switch (gimple_call_combined_fn (call))
861 {
862 CASE_CFN_SQRT:
863 CASE_CFN_SQRT_FN:
864 ifn = IFN_RSQRT;
865 break;
866
867 default:
868 return IFN_LAST;
869 }
870
871 tree_pair types = direct_internal_fn_types (ifn, call);
872 if (!direct_internal_fn_supported_p (ifn, types, OPTIMIZE_FOR_SPEED))
873 return IFN_LAST;
874
875 return ifn;
876 }
877
878 /* Go through all the floating-point SSA_NAMEs, and call
879 execute_cse_reciprocals_1 on each of them. */
880 namespace {
881
882 const pass_data pass_data_cse_reciprocals =
883 {
884 GIMPLE_PASS, /* type */
885 "recip", /* name */
886 OPTGROUP_NONE, /* optinfo_flags */
887 TV_TREE_RECIP, /* tv_id */
888 PROP_ssa, /* properties_required */
889 0, /* properties_provided */
890 0, /* properties_destroyed */
891 0, /* todo_flags_start */
892 TODO_update_ssa, /* todo_flags_finish */
893 };
894
895 class pass_cse_reciprocals : public gimple_opt_pass
896 {
897 public:
898 pass_cse_reciprocals (gcc::context *ctxt)
899 : gimple_opt_pass (pass_data_cse_reciprocals, ctxt)
900 {}
901
902 /* opt_pass methods: */
903 virtual bool gate (function *) { return optimize && flag_reciprocal_math; }
904 virtual unsigned int execute (function *);
905
906 }; // class pass_cse_reciprocals
907
908 unsigned int
909 pass_cse_reciprocals::execute (function *fun)
910 {
911 basic_block bb;
912 tree arg;
913
914 occ_pool = new object_allocator<occurrence> ("dominators for recip");
915
916 memset (&reciprocal_stats, 0, sizeof (reciprocal_stats));
917 calculate_dominance_info (CDI_DOMINATORS);
918 calculate_dominance_info (CDI_POST_DOMINATORS);
919
920 if (flag_checking)
921 FOR_EACH_BB_FN (bb, fun)
922 gcc_assert (!bb->aux);
923
924 for (arg = DECL_ARGUMENTS (fun->decl); arg; arg = DECL_CHAIN (arg))
925 if (FLOAT_TYPE_P (TREE_TYPE (arg))
926 && is_gimple_reg (arg))
927 {
928 tree name = ssa_default_def (fun, arg);
929 if (name)
930 execute_cse_reciprocals_1 (NULL, name);
931 }
932
933 FOR_EACH_BB_FN (bb, fun)
934 {
935 tree def;
936
937 for (gphi_iterator gsi = gsi_start_phis (bb); !gsi_end_p (gsi);
938 gsi_next (&gsi))
939 {
940 gphi *phi = gsi.phi ();
941 def = PHI_RESULT (phi);
942 if (! virtual_operand_p (def)
943 && FLOAT_TYPE_P (TREE_TYPE (def)))
944 execute_cse_reciprocals_1 (NULL, def);
945 }
946
947 for (gimple_stmt_iterator gsi = gsi_after_labels (bb); !gsi_end_p (gsi);
948 gsi_next (&gsi))
949 {
950 gimple *stmt = gsi_stmt (gsi);
951
952 if (gimple_has_lhs (stmt)
953 && (def = SINGLE_SSA_TREE_OPERAND (stmt, SSA_OP_DEF)) != NULL
954 && FLOAT_TYPE_P (TREE_TYPE (def))
955 && TREE_CODE (def) == SSA_NAME)
956 {
957 execute_cse_reciprocals_1 (&gsi, def);
958 stmt = gsi_stmt (gsi);
959 if (flag_unsafe_math_optimizations
960 && is_gimple_assign (stmt)
961 && gimple_assign_lhs (stmt) == def
962 && !stmt_can_throw_internal (cfun, stmt)
963 && gimple_assign_rhs_code (stmt) == RDIV_EXPR)
964 optimize_recip_sqrt (&gsi, def);
965 }
966 }
967
968 if (optimize_bb_for_size_p (bb))
969 continue;
970
971 /* Scan for a/func(b) and convert it to reciprocal a*rfunc(b). */
972 for (gimple_stmt_iterator gsi = gsi_after_labels (bb); !gsi_end_p (gsi);
973 gsi_next (&gsi))
974 {
975 gimple *stmt = gsi_stmt (gsi);
976
977 if (is_gimple_assign (stmt)
978 && gimple_assign_rhs_code (stmt) == RDIV_EXPR)
979 {
980 tree arg1 = gimple_assign_rhs2 (stmt);
981 gimple *stmt1;
982
983 if (TREE_CODE (arg1) != SSA_NAME)
984 continue;
985
986 stmt1 = SSA_NAME_DEF_STMT (arg1);
987
988 if (is_gimple_call (stmt1)
989 && gimple_call_lhs (stmt1))
990 {
991 bool fail;
992 imm_use_iterator ui;
993 use_operand_p use_p;
994 tree fndecl = NULL_TREE;
995
996 gcall *call = as_a <gcall *> (stmt1);
997 internal_fn ifn = internal_fn_reciprocal (call);
998 if (ifn == IFN_LAST)
999 {
1000 fndecl = gimple_call_fndecl (call);
1001 if (!fndecl
1002 || !fndecl_built_in_p (fndecl, BUILT_IN_MD))
1003 continue;
1004 fndecl = targetm.builtin_reciprocal (fndecl);
1005 if (!fndecl)
1006 continue;
1007 }
1008
1009 /* Check that all uses of the SSA name are divisions,
1010 otherwise replacing the defining statement will do
1011 the wrong thing. */
1012 fail = false;
1013 FOR_EACH_IMM_USE_FAST (use_p, ui, arg1)
1014 {
1015 gimple *stmt2 = USE_STMT (use_p);
1016 if (is_gimple_debug (stmt2))
1017 continue;
1018 if (!is_gimple_assign (stmt2)
1019 || gimple_assign_rhs_code (stmt2) != RDIV_EXPR
1020 || gimple_assign_rhs1 (stmt2) == arg1
1021 || gimple_assign_rhs2 (stmt2) != arg1)
1022 {
1023 fail = true;
1024 break;
1025 }
1026 }
1027 if (fail)
1028 continue;
1029
1030 gimple_replace_ssa_lhs (call, arg1);
1031 if (gimple_call_internal_p (call) != (ifn != IFN_LAST))
1032 {
1033 auto_vec<tree, 4> args;
1034 for (unsigned int i = 0;
1035 i < gimple_call_num_args (call); i++)
1036 args.safe_push (gimple_call_arg (call, i));
1037 gcall *stmt2;
1038 if (ifn == IFN_LAST)
1039 stmt2 = gimple_build_call_vec (fndecl, args);
1040 else
1041 stmt2 = gimple_build_call_internal_vec (ifn, args);
1042 gimple_call_set_lhs (stmt2, arg1);
1043 gimple_move_vops (stmt2, call);
1044 gimple_call_set_nothrow (stmt2,
1045 gimple_call_nothrow_p (call));
1046 gimple_stmt_iterator gsi2 = gsi_for_stmt (call);
1047 gsi_replace (&gsi2, stmt2, true);
1048 }
1049 else
1050 {
1051 if (ifn == IFN_LAST)
1052 gimple_call_set_fndecl (call, fndecl);
1053 else
1054 gimple_call_set_internal_fn (call, ifn);
1055 update_stmt (call);
1056 }
1057 reciprocal_stats.rfuncs_inserted++;
1058
1059 FOR_EACH_IMM_USE_STMT (stmt, ui, arg1)
1060 {
1061 gimple_stmt_iterator gsi = gsi_for_stmt (stmt);
1062 gimple_assign_set_rhs_code (stmt, MULT_EXPR);
1063 fold_stmt_inplace (&gsi);
1064 update_stmt (stmt);
1065 }
1066 }
1067 }
1068 }
1069 }
1070
1071 statistics_counter_event (fun, "reciprocal divs inserted",
1072 reciprocal_stats.rdivs_inserted);
1073 statistics_counter_event (fun, "reciprocal functions inserted",
1074 reciprocal_stats.rfuncs_inserted);
1075
1076 free_dominance_info (CDI_DOMINATORS);
1077 free_dominance_info (CDI_POST_DOMINATORS);
1078 delete occ_pool;
1079 return 0;
1080 }
1081
1082 } // anon namespace
1083
1084 gimple_opt_pass *
1085 make_pass_cse_reciprocals (gcc::context *ctxt)
1086 {
1087 return new pass_cse_reciprocals (ctxt);
1088 }
1089
1090 /* Records an occurrence at statement USE_STMT in the vector of trees
1091 STMTS if it is dominated by *TOP_BB or dominates it or this basic block
1092 is not yet initialized. Returns true if the occurrence was pushed on
1093 the vector. Adjusts *TOP_BB to be the basic block dominating all
1094 statements in the vector. */
1095
1096 static bool
1097 maybe_record_sincos (vec<gimple *> *stmts,
1098 basic_block *top_bb, gimple *use_stmt)
1099 {
1100 basic_block use_bb = gimple_bb (use_stmt);
1101 if (*top_bb
1102 && (*top_bb == use_bb
1103 || dominated_by_p (CDI_DOMINATORS, use_bb, *top_bb)))
1104 stmts->safe_push (use_stmt);
1105 else if (!*top_bb
1106 || dominated_by_p (CDI_DOMINATORS, *top_bb, use_bb))
1107 {
1108 stmts->safe_push (use_stmt);
1109 *top_bb = use_bb;
1110 }
1111 else
1112 return false;
1113
1114 return true;
1115 }
1116
1117 /* Look for sin, cos and cexpi calls with the same argument NAME and
1118 create a single call to cexpi CSEing the result in this case.
1119 We first walk over all immediate uses of the argument collecting
1120 statements that we can CSE in a vector and in a second pass replace
1121 the statement rhs with a REALPART or IMAGPART expression on the
1122 result of the cexpi call we insert before the use statement that
1123 dominates all other candidates. */
1124
1125 static bool
1126 execute_cse_sincos_1 (tree name)
1127 {
1128 gimple_stmt_iterator gsi;
1129 imm_use_iterator use_iter;
1130 tree fndecl, res, type;
1131 gimple *def_stmt, *use_stmt, *stmt;
1132 int seen_cos = 0, seen_sin = 0, seen_cexpi = 0;
1133 auto_vec<gimple *> stmts;
1134 basic_block top_bb = NULL;
1135 int i;
1136 bool cfg_changed = false;
1137
1138 type = TREE_TYPE (name);
1139 FOR_EACH_IMM_USE_STMT (use_stmt, use_iter, name)
1140 {
1141 if (gimple_code (use_stmt) != GIMPLE_CALL
1142 || !gimple_call_lhs (use_stmt))
1143 continue;
1144
1145 switch (gimple_call_combined_fn (use_stmt))
1146 {
1147 CASE_CFN_COS:
1148 seen_cos |= maybe_record_sincos (&stmts, &top_bb, use_stmt) ? 1 : 0;
1149 break;
1150
1151 CASE_CFN_SIN:
1152 seen_sin |= maybe_record_sincos (&stmts, &top_bb, use_stmt) ? 1 : 0;
1153 break;
1154
1155 CASE_CFN_CEXPI:
1156 seen_cexpi |= maybe_record_sincos (&stmts, &top_bb, use_stmt) ? 1 : 0;
1157 break;
1158
1159 default:;
1160 }
1161 }
1162
1163 if (seen_cos + seen_sin + seen_cexpi <= 1)
1164 return false;
1165
1166 /* Simply insert cexpi at the beginning of top_bb but not earlier than
1167 the name def statement. */
1168 fndecl = mathfn_built_in (type, BUILT_IN_CEXPI);
1169 if (!fndecl)
1170 return false;
1171 stmt = gimple_build_call (fndecl, 1, name);
1172 res = make_temp_ssa_name (TREE_TYPE (TREE_TYPE (fndecl)), stmt, "sincostmp");
1173 gimple_call_set_lhs (stmt, res);
1174
1175 def_stmt = SSA_NAME_DEF_STMT (name);
1176 if (!SSA_NAME_IS_DEFAULT_DEF (name)
1177 && gimple_code (def_stmt) != GIMPLE_PHI
1178 && gimple_bb (def_stmt) == top_bb)
1179 {
1180 gsi = gsi_for_stmt (def_stmt);
1181 gsi_insert_after (&gsi, stmt, GSI_SAME_STMT);
1182 }
1183 else
1184 {
1185 gsi = gsi_after_labels (top_bb);
1186 gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
1187 }
1188 sincos_stats.inserted++;
1189
1190 /* And adjust the recorded old call sites. */
1191 for (i = 0; stmts.iterate (i, &use_stmt); ++i)
1192 {
1193 tree rhs = NULL;
1194
1195 switch (gimple_call_combined_fn (use_stmt))
1196 {
1197 CASE_CFN_COS:
1198 rhs = fold_build1 (REALPART_EXPR, type, res);
1199 break;
1200
1201 CASE_CFN_SIN:
1202 rhs = fold_build1 (IMAGPART_EXPR, type, res);
1203 break;
1204
1205 CASE_CFN_CEXPI:
1206 rhs = res;
1207 break;
1208
1209 default:;
1210 gcc_unreachable ();
1211 }
1212
1213 /* Replace call with a copy. */
1214 stmt = gimple_build_assign (gimple_call_lhs (use_stmt), rhs);
1215
1216 gsi = gsi_for_stmt (use_stmt);
1217 gsi_replace (&gsi, stmt, true);
1218 if (gimple_purge_dead_eh_edges (gimple_bb (stmt)))
1219 cfg_changed = true;
1220 }
1221
1222 return cfg_changed;
1223 }
1224
1225 /* To evaluate powi(x,n), the floating point value x raised to the
1226 constant integer exponent n, we use a hybrid algorithm that
1227 combines the "window method" with look-up tables. For an
1228 introduction to exponentiation algorithms and "addition chains",
1229 see section 4.6.3, "Evaluation of Powers" of Donald E. Knuth,
1230 "Seminumerical Algorithms", Vol. 2, "The Art of Computer Programming",
1231 3rd Edition, 1998, and Daniel M. Gordon, "A Survey of Fast Exponentiation
1232 Methods", Journal of Algorithms, Vol. 27, pp. 129-146, 1998. */
1233
1234 /* Provide a default value for POWI_MAX_MULTS, the maximum number of
1235 multiplications to inline before calling the system library's pow
1236 function. powi(x,n) requires at worst 2*bits(n)-2 multiplications,
1237 so this default never requires calling pow, powf or powl. */
1238
1239 #ifndef POWI_MAX_MULTS
1240 #define POWI_MAX_MULTS (2*HOST_BITS_PER_WIDE_INT-2)
1241 #endif
1242
1243 /* The size of the "optimal power tree" lookup table. All
1244 exponents less than this value are simply looked up in the
1245 powi_table below. This threshold is also used to size the
1246 cache of pseudo registers that hold intermediate results. */
1247 #define POWI_TABLE_SIZE 256
1248
1249 /* The size, in bits of the window, used in the "window method"
1250 exponentiation algorithm. This is equivalent to a radix of
1251 (1<<POWI_WINDOW_SIZE) in the corresponding "m-ary method". */
1252 #define POWI_WINDOW_SIZE 3
1253
1254 /* The following table is an efficient representation of an
1255 "optimal power tree". For each value, i, the corresponding
1256 value, j, in the table states than an optimal evaluation
1257 sequence for calculating pow(x,i) can be found by evaluating
1258 pow(x,j)*pow(x,i-j). An optimal power tree for the first
1259 100 integers is given in Knuth's "Seminumerical algorithms". */
1260
1261 static const unsigned char powi_table[POWI_TABLE_SIZE] =
1262 {
1263 0, 1, 1, 2, 2, 3, 3, 4, /* 0 - 7 */
1264 4, 6, 5, 6, 6, 10, 7, 9, /* 8 - 15 */
1265 8, 16, 9, 16, 10, 12, 11, 13, /* 16 - 23 */
1266 12, 17, 13, 18, 14, 24, 15, 26, /* 24 - 31 */
1267 16, 17, 17, 19, 18, 33, 19, 26, /* 32 - 39 */
1268 20, 25, 21, 40, 22, 27, 23, 44, /* 40 - 47 */
1269 24, 32, 25, 34, 26, 29, 27, 44, /* 48 - 55 */
1270 28, 31, 29, 34, 30, 60, 31, 36, /* 56 - 63 */
1271 32, 64, 33, 34, 34, 46, 35, 37, /* 64 - 71 */
1272 36, 65, 37, 50, 38, 48, 39, 69, /* 72 - 79 */
1273 40, 49, 41, 43, 42, 51, 43, 58, /* 80 - 87 */
1274 44, 64, 45, 47, 46, 59, 47, 76, /* 88 - 95 */
1275 48, 65, 49, 66, 50, 67, 51, 66, /* 96 - 103 */
1276 52, 70, 53, 74, 54, 104, 55, 74, /* 104 - 111 */
1277 56, 64, 57, 69, 58, 78, 59, 68, /* 112 - 119 */
1278 60, 61, 61, 80, 62, 75, 63, 68, /* 120 - 127 */
1279 64, 65, 65, 128, 66, 129, 67, 90, /* 128 - 135 */
1280 68, 73, 69, 131, 70, 94, 71, 88, /* 136 - 143 */
1281 72, 128, 73, 98, 74, 132, 75, 121, /* 144 - 151 */
1282 76, 102, 77, 124, 78, 132, 79, 106, /* 152 - 159 */
1283 80, 97, 81, 160, 82, 99, 83, 134, /* 160 - 167 */
1284 84, 86, 85, 95, 86, 160, 87, 100, /* 168 - 175 */
1285 88, 113, 89, 98, 90, 107, 91, 122, /* 176 - 183 */
1286 92, 111, 93, 102, 94, 126, 95, 150, /* 184 - 191 */
1287 96, 128, 97, 130, 98, 133, 99, 195, /* 192 - 199 */
1288 100, 128, 101, 123, 102, 164, 103, 138, /* 200 - 207 */
1289 104, 145, 105, 146, 106, 109, 107, 149, /* 208 - 215 */
1290 108, 200, 109, 146, 110, 170, 111, 157, /* 216 - 223 */
1291 112, 128, 113, 130, 114, 182, 115, 132, /* 224 - 231 */
1292 116, 200, 117, 132, 118, 158, 119, 206, /* 232 - 239 */
1293 120, 240, 121, 162, 122, 147, 123, 152, /* 240 - 247 */
1294 124, 166, 125, 214, 126, 138, 127, 153, /* 248 - 255 */
1295 };
1296
1297
1298 /* Return the number of multiplications required to calculate
1299 powi(x,n) where n is less than POWI_TABLE_SIZE. This is a
1300 subroutine of powi_cost. CACHE is an array indicating
1301 which exponents have already been calculated. */
1302
1303 static int
1304 powi_lookup_cost (unsigned HOST_WIDE_INT n, bool *cache)
1305 {
1306 /* If we've already calculated this exponent, then this evaluation
1307 doesn't require any additional multiplications. */
1308 if (cache[n])
1309 return 0;
1310
1311 cache[n] = true;
1312 return powi_lookup_cost (n - powi_table[n], cache)
1313 + powi_lookup_cost (powi_table[n], cache) + 1;
1314 }
1315
1316 /* Return the number of multiplications required to calculate
1317 powi(x,n) for an arbitrary x, given the exponent N. This
1318 function needs to be kept in sync with powi_as_mults below. */
1319
1320 static int
1321 powi_cost (HOST_WIDE_INT n)
1322 {
1323 bool cache[POWI_TABLE_SIZE];
1324 unsigned HOST_WIDE_INT digit;
1325 unsigned HOST_WIDE_INT val;
1326 int result;
1327
1328 if (n == 0)
1329 return 0;
1330
1331 /* Ignore the reciprocal when calculating the cost. */
1332 val = (n < 0) ? -n : n;
1333
1334 /* Initialize the exponent cache. */
1335 memset (cache, 0, POWI_TABLE_SIZE * sizeof (bool));
1336 cache[1] = true;
1337
1338 result = 0;
1339
1340 while (val >= POWI_TABLE_SIZE)
1341 {
1342 if (val & 1)
1343 {
1344 digit = val & ((1 << POWI_WINDOW_SIZE) - 1);
1345 result += powi_lookup_cost (digit, cache)
1346 + POWI_WINDOW_SIZE + 1;
1347 val >>= POWI_WINDOW_SIZE;
1348 }
1349 else
1350 {
1351 val >>= 1;
1352 result++;
1353 }
1354 }
1355
1356 return result + powi_lookup_cost (val, cache);
1357 }
1358
1359 /* Recursive subroutine of powi_as_mults. This function takes the
1360 array, CACHE, of already calculated exponents and an exponent N and
1361 returns a tree that corresponds to CACHE[1]**N, with type TYPE. */
1362
1363 static tree
1364 powi_as_mults_1 (gimple_stmt_iterator *gsi, location_t loc, tree type,
1365 HOST_WIDE_INT n, tree *cache)
1366 {
1367 tree op0, op1, ssa_target;
1368 unsigned HOST_WIDE_INT digit;
1369 gassign *mult_stmt;
1370
1371 if (n < POWI_TABLE_SIZE && cache[n])
1372 return cache[n];
1373
1374 ssa_target = make_temp_ssa_name (type, NULL, "powmult");
1375
1376 if (n < POWI_TABLE_SIZE)
1377 {
1378 cache[n] = ssa_target;
1379 op0 = powi_as_mults_1 (gsi, loc, type, n - powi_table[n], cache);
1380 op1 = powi_as_mults_1 (gsi, loc, type, powi_table[n], cache);
1381 }
1382 else if (n & 1)
1383 {
1384 digit = n & ((1 << POWI_WINDOW_SIZE) - 1);
1385 op0 = powi_as_mults_1 (gsi, loc, type, n - digit, cache);
1386 op1 = powi_as_mults_1 (gsi, loc, type, digit, cache);
1387 }
1388 else
1389 {
1390 op0 = powi_as_mults_1 (gsi, loc, type, n >> 1, cache);
1391 op1 = op0;
1392 }
1393
1394 mult_stmt = gimple_build_assign (ssa_target, MULT_EXPR, op0, op1);
1395 gimple_set_location (mult_stmt, loc);
1396 gsi_insert_before (gsi, mult_stmt, GSI_SAME_STMT);
1397
1398 return ssa_target;
1399 }
1400
1401 /* Convert ARG0**N to a tree of multiplications of ARG0 with itself.
1402 This function needs to be kept in sync with powi_cost above. */
1403
1404 static tree
1405 powi_as_mults (gimple_stmt_iterator *gsi, location_t loc,
1406 tree arg0, HOST_WIDE_INT n)
1407 {
1408 tree cache[POWI_TABLE_SIZE], result, type = TREE_TYPE (arg0);
1409 gassign *div_stmt;
1410 tree target;
1411
1412 if (n == 0)
1413 return build_real (type, dconst1);
1414
1415 memset (cache, 0, sizeof (cache));
1416 cache[1] = arg0;
1417
1418 result = powi_as_mults_1 (gsi, loc, type, (n < 0) ? -n : n, cache);
1419 if (n >= 0)
1420 return result;
1421
1422 /* If the original exponent was negative, reciprocate the result. */
1423 target = make_temp_ssa_name (type, NULL, "powmult");
1424 div_stmt = gimple_build_assign (target, RDIV_EXPR,
1425 build_real (type, dconst1), result);
1426 gimple_set_location (div_stmt, loc);
1427 gsi_insert_before (gsi, div_stmt, GSI_SAME_STMT);
1428
1429 return target;
1430 }
1431
1432 /* ARG0 and N are the two arguments to a powi builtin in GSI with
1433 location info LOC. If the arguments are appropriate, create an
1434 equivalent sequence of statements prior to GSI using an optimal
1435 number of multiplications, and return an expession holding the
1436 result. */
1437
1438 static tree
1439 gimple_expand_builtin_powi (gimple_stmt_iterator *gsi, location_t loc,
1440 tree arg0, HOST_WIDE_INT n)
1441 {
1442 /* Avoid largest negative number. */
1443 if (n != -n
1444 && ((n >= -1 && n <= 2)
1445 || (optimize_function_for_speed_p (cfun)
1446 && powi_cost (n) <= POWI_MAX_MULTS)))
1447 return powi_as_mults (gsi, loc, arg0, n);
1448
1449 return NULL_TREE;
1450 }
1451
1452 /* Build a gimple call statement that calls FN with argument ARG.
1453 Set the lhs of the call statement to a fresh SSA name. Insert the
1454 statement prior to GSI's current position, and return the fresh
1455 SSA name. */
1456
1457 static tree
1458 build_and_insert_call (gimple_stmt_iterator *gsi, location_t loc,
1459 tree fn, tree arg)
1460 {
1461 gcall *call_stmt;
1462 tree ssa_target;
1463
1464 call_stmt = gimple_build_call (fn, 1, arg);
1465 ssa_target = make_temp_ssa_name (TREE_TYPE (arg), NULL, "powroot");
1466 gimple_set_lhs (call_stmt, ssa_target);
1467 gimple_set_location (call_stmt, loc);
1468 gsi_insert_before (gsi, call_stmt, GSI_SAME_STMT);
1469
1470 return ssa_target;
1471 }
1472
1473 /* Build a gimple binary operation with the given CODE and arguments
1474 ARG0, ARG1, assigning the result to a new SSA name for variable
1475 TARGET. Insert the statement prior to GSI's current position, and
1476 return the fresh SSA name.*/
1477
1478 static tree
1479 build_and_insert_binop (gimple_stmt_iterator *gsi, location_t loc,
1480 const char *name, enum tree_code code,
1481 tree arg0, tree arg1)
1482 {
1483 tree result = make_temp_ssa_name (TREE_TYPE (arg0), NULL, name);
1484 gassign *stmt = gimple_build_assign (result, code, arg0, arg1);
1485 gimple_set_location (stmt, loc);
1486 gsi_insert_before (gsi, stmt, GSI_SAME_STMT);
1487 return result;
1488 }
1489
1490 /* Build a gimple reference operation with the given CODE and argument
1491 ARG, assigning the result to a new SSA name of TYPE with NAME.
1492 Insert the statement prior to GSI's current position, and return
1493 the fresh SSA name. */
1494
1495 static inline tree
1496 build_and_insert_ref (gimple_stmt_iterator *gsi, location_t loc, tree type,
1497 const char *name, enum tree_code code, tree arg0)
1498 {
1499 tree result = make_temp_ssa_name (type, NULL, name);
1500 gimple *stmt = gimple_build_assign (result, build1 (code, type, arg0));
1501 gimple_set_location (stmt, loc);
1502 gsi_insert_before (gsi, stmt, GSI_SAME_STMT);
1503 return result;
1504 }
1505
1506 /* Build a gimple assignment to cast VAL to TYPE. Insert the statement
1507 prior to GSI's current position, and return the fresh SSA name. */
1508
1509 static tree
1510 build_and_insert_cast (gimple_stmt_iterator *gsi, location_t loc,
1511 tree type, tree val)
1512 {
1513 tree result = make_ssa_name (type);
1514 gassign *stmt = gimple_build_assign (result, NOP_EXPR, val);
1515 gimple_set_location (stmt, loc);
1516 gsi_insert_before (gsi, stmt, GSI_SAME_STMT);
1517 return result;
1518 }
1519
1520 struct pow_synth_sqrt_info
1521 {
1522 bool *factors;
1523 unsigned int deepest;
1524 unsigned int num_mults;
1525 };
1526
1527 /* Return true iff the real value C can be represented as a
1528 sum of powers of 0.5 up to N. That is:
1529 C == SUM<i from 1..N> (a[i]*(0.5**i)) where a[i] is either 0 or 1.
1530 Record in INFO the various parameters of the synthesis algorithm such
1531 as the factors a[i], the maximum 0.5 power and the number of
1532 multiplications that will be required. */
1533
1534 bool
1535 representable_as_half_series_p (REAL_VALUE_TYPE c, unsigned n,
1536 struct pow_synth_sqrt_info *info)
1537 {
1538 REAL_VALUE_TYPE factor = dconsthalf;
1539 REAL_VALUE_TYPE remainder = c;
1540
1541 info->deepest = 0;
1542 info->num_mults = 0;
1543 memset (info->factors, 0, n * sizeof (bool));
1544
1545 for (unsigned i = 0; i < n; i++)
1546 {
1547 REAL_VALUE_TYPE res;
1548
1549 /* If something inexact happened bail out now. */
1550 if (real_arithmetic (&res, MINUS_EXPR, &remainder, &factor))
1551 return false;
1552
1553 /* We have hit zero. The number is representable as a sum
1554 of powers of 0.5. */
1555 if (real_equal (&res, &dconst0))
1556 {
1557 info->factors[i] = true;
1558 info->deepest = i + 1;
1559 return true;
1560 }
1561 else if (!REAL_VALUE_NEGATIVE (res))
1562 {
1563 remainder = res;
1564 info->factors[i] = true;
1565 info->num_mults++;
1566 }
1567 else
1568 info->factors[i] = false;
1569
1570 real_arithmetic (&factor, MULT_EXPR, &factor, &dconsthalf);
1571 }
1572 return false;
1573 }
1574
1575 /* Return the tree corresponding to FN being applied
1576 to ARG N times at GSI and LOC.
1577 Look up previous results from CACHE if need be.
1578 cache[0] should contain just plain ARG i.e. FN applied to ARG 0 times. */
1579
1580 static tree
1581 get_fn_chain (tree arg, unsigned int n, gimple_stmt_iterator *gsi,
1582 tree fn, location_t loc, tree *cache)
1583 {
1584 tree res = cache[n];
1585 if (!res)
1586 {
1587 tree prev = get_fn_chain (arg, n - 1, gsi, fn, loc, cache);
1588 res = build_and_insert_call (gsi, loc, fn, prev);
1589 cache[n] = res;
1590 }
1591
1592 return res;
1593 }
1594
1595 /* Print to STREAM the repeated application of function FNAME to ARG
1596 N times. So, for FNAME = "foo", ARG = "x", N = 2 it would print:
1597 "foo (foo (x))". */
1598
1599 static void
1600 print_nested_fn (FILE* stream, const char *fname, const char* arg,
1601 unsigned int n)
1602 {
1603 if (n == 0)
1604 fprintf (stream, "%s", arg);
1605 else
1606 {
1607 fprintf (stream, "%s (", fname);
1608 print_nested_fn (stream, fname, arg, n - 1);
1609 fprintf (stream, ")");
1610 }
1611 }
1612
1613 /* Print to STREAM the fractional sequence of sqrt chains
1614 applied to ARG, described by INFO. Used for the dump file. */
1615
1616 static void
1617 dump_fractional_sqrt_sequence (FILE *stream, const char *arg,
1618 struct pow_synth_sqrt_info *info)
1619 {
1620 for (unsigned int i = 0; i < info->deepest; i++)
1621 {
1622 bool is_set = info->factors[i];
1623 if (is_set)
1624 {
1625 print_nested_fn (stream, "sqrt", arg, i + 1);
1626 if (i != info->deepest - 1)
1627 fprintf (stream, " * ");
1628 }
1629 }
1630 }
1631
1632 /* Print to STREAM a representation of raising ARG to an integer
1633 power N. Used for the dump file. */
1634
1635 static void
1636 dump_integer_part (FILE *stream, const char* arg, HOST_WIDE_INT n)
1637 {
1638 if (n > 1)
1639 fprintf (stream, "powi (%s, " HOST_WIDE_INT_PRINT_DEC ")", arg, n);
1640 else if (n == 1)
1641 fprintf (stream, "%s", arg);
1642 }
1643
1644 /* Attempt to synthesize a POW[F] (ARG0, ARG1) call using chains of
1645 square roots. Place at GSI and LOC. Limit the maximum depth
1646 of the sqrt chains to MAX_DEPTH. Return the tree holding the
1647 result of the expanded sequence or NULL_TREE if the expansion failed.
1648
1649 This routine assumes that ARG1 is a real number with a fractional part
1650 (the integer exponent case will have been handled earlier in
1651 gimple_expand_builtin_pow).
1652
1653 For ARG1 > 0.0:
1654 * For ARG1 composed of a whole part WHOLE_PART and a fractional part
1655 FRAC_PART i.e. WHOLE_PART == floor (ARG1) and
1656 FRAC_PART == ARG1 - WHOLE_PART:
1657 Produce POWI (ARG0, WHOLE_PART) * POW (ARG0, FRAC_PART) where
1658 POW (ARG0, FRAC_PART) is expanded as a product of square root chains
1659 if it can be expressed as such, that is if FRAC_PART satisfies:
1660 FRAC_PART == <SUM from i = 1 until MAX_DEPTH> (a[i] * (0.5**i))
1661 where integer a[i] is either 0 or 1.
1662
1663 Example:
1664 POW (x, 3.625) == POWI (x, 3) * POW (x, 0.625)
1665 --> POWI (x, 3) * SQRT (x) * SQRT (SQRT (SQRT (x)))
1666
1667 For ARG1 < 0.0 there are two approaches:
1668 * (A) Expand to 1.0 / POW (ARG0, -ARG1) where POW (ARG0, -ARG1)
1669 is calculated as above.
1670
1671 Example:
1672 POW (x, -5.625) == 1.0 / POW (x, 5.625)
1673 --> 1.0 / (POWI (x, 5) * SQRT (x) * SQRT (SQRT (SQRT (x))))
1674
1675 * (B) : WHOLE_PART := - ceil (abs (ARG1))
1676 FRAC_PART := ARG1 - WHOLE_PART
1677 and expand to POW (x, FRAC_PART) / POWI (x, WHOLE_PART).
1678 Example:
1679 POW (x, -5.875) == POW (x, 0.125) / POWI (X, 6)
1680 --> SQRT (SQRT (SQRT (x))) / (POWI (x, 6))
1681
1682 For ARG1 < 0.0 we choose between (A) and (B) depending on
1683 how many multiplications we'd have to do.
1684 So, for the example in (B): POW (x, -5.875), if we were to
1685 follow algorithm (A) we would produce:
1686 1.0 / POWI (X, 5) * SQRT (X) * SQRT (SQRT (X)) * SQRT (SQRT (SQRT (X)))
1687 which contains more multiplications than approach (B).
1688
1689 Hopefully, this approach will eliminate potentially expensive POW library
1690 calls when unsafe floating point math is enabled and allow the compiler to
1691 further optimise the multiplies, square roots and divides produced by this
1692 function. */
1693
1694 static tree
1695 expand_pow_as_sqrts (gimple_stmt_iterator *gsi, location_t loc,
1696 tree arg0, tree arg1, HOST_WIDE_INT max_depth)
1697 {
1698 tree type = TREE_TYPE (arg0);
1699 machine_mode mode = TYPE_MODE (type);
1700 tree sqrtfn = mathfn_built_in (type, BUILT_IN_SQRT);
1701 bool one_over = true;
1702
1703 if (!sqrtfn)
1704 return NULL_TREE;
1705
1706 if (TREE_CODE (arg1) != REAL_CST)
1707 return NULL_TREE;
1708
1709 REAL_VALUE_TYPE exp_init = TREE_REAL_CST (arg1);
1710
1711 gcc_assert (max_depth > 0);
1712 tree *cache = XALLOCAVEC (tree, max_depth + 1);
1713
1714 struct pow_synth_sqrt_info synth_info;
1715 synth_info.factors = XALLOCAVEC (bool, max_depth + 1);
1716 synth_info.deepest = 0;
1717 synth_info.num_mults = 0;
1718
1719 bool neg_exp = REAL_VALUE_NEGATIVE (exp_init);
1720 REAL_VALUE_TYPE exp = real_value_abs (&exp_init);
1721
1722 /* The whole and fractional parts of exp. */
1723 REAL_VALUE_TYPE whole_part;
1724 REAL_VALUE_TYPE frac_part;
1725
1726 real_floor (&whole_part, mode, &exp);
1727 real_arithmetic (&frac_part, MINUS_EXPR, &exp, &whole_part);
1728
1729
1730 REAL_VALUE_TYPE ceil_whole = dconst0;
1731 REAL_VALUE_TYPE ceil_fract = dconst0;
1732
1733 if (neg_exp)
1734 {
1735 real_ceil (&ceil_whole, mode, &exp);
1736 real_arithmetic (&ceil_fract, MINUS_EXPR, &ceil_whole, &exp);
1737 }
1738
1739 if (!representable_as_half_series_p (frac_part, max_depth, &synth_info))
1740 return NULL_TREE;
1741
1742 /* Check whether it's more profitable to not use 1.0 / ... */
1743 if (neg_exp)
1744 {
1745 struct pow_synth_sqrt_info alt_synth_info;
1746 alt_synth_info.factors = XALLOCAVEC (bool, max_depth + 1);
1747 alt_synth_info.deepest = 0;
1748 alt_synth_info.num_mults = 0;
1749
1750 if (representable_as_half_series_p (ceil_fract, max_depth,
1751 &alt_synth_info)
1752 && alt_synth_info.deepest <= synth_info.deepest
1753 && alt_synth_info.num_mults < synth_info.num_mults)
1754 {
1755 whole_part = ceil_whole;
1756 frac_part = ceil_fract;
1757 synth_info.deepest = alt_synth_info.deepest;
1758 synth_info.num_mults = alt_synth_info.num_mults;
1759 memcpy (synth_info.factors, alt_synth_info.factors,
1760 (max_depth + 1) * sizeof (bool));
1761 one_over = false;
1762 }
1763 }
1764
1765 HOST_WIDE_INT n = real_to_integer (&whole_part);
1766 REAL_VALUE_TYPE cint;
1767 real_from_integer (&cint, VOIDmode, n, SIGNED);
1768
1769 if (!real_identical (&whole_part, &cint))
1770 return NULL_TREE;
1771
1772 if (powi_cost (n) + synth_info.num_mults > POWI_MAX_MULTS)
1773 return NULL_TREE;
1774
1775 memset (cache, 0, (max_depth + 1) * sizeof (tree));
1776
1777 tree integer_res = n == 0 ? build_real (type, dconst1) : arg0;
1778
1779 /* Calculate the integer part of the exponent. */
1780 if (n > 1)
1781 {
1782 integer_res = gimple_expand_builtin_powi (gsi, loc, arg0, n);
1783 if (!integer_res)
1784 return NULL_TREE;
1785 }
1786
1787 if (dump_file)
1788 {
1789 char string[64];
1790
1791 real_to_decimal (string, &exp_init, sizeof (string), 0, 1);
1792 fprintf (dump_file, "synthesizing pow (x, %s) as:\n", string);
1793
1794 if (neg_exp)
1795 {
1796 if (one_over)
1797 {
1798 fprintf (dump_file, "1.0 / (");
1799 dump_integer_part (dump_file, "x", n);
1800 if (n > 0)
1801 fprintf (dump_file, " * ");
1802 dump_fractional_sqrt_sequence (dump_file, "x", &synth_info);
1803 fprintf (dump_file, ")");
1804 }
1805 else
1806 {
1807 dump_fractional_sqrt_sequence (dump_file, "x", &synth_info);
1808 fprintf (dump_file, " / (");
1809 dump_integer_part (dump_file, "x", n);
1810 fprintf (dump_file, ")");
1811 }
1812 }
1813 else
1814 {
1815 dump_fractional_sqrt_sequence (dump_file, "x", &synth_info);
1816 if (n > 0)
1817 fprintf (dump_file, " * ");
1818 dump_integer_part (dump_file, "x", n);
1819 }
1820
1821 fprintf (dump_file, "\ndeepest sqrt chain: %d\n", synth_info.deepest);
1822 }
1823
1824
1825 tree fract_res = NULL_TREE;
1826 cache[0] = arg0;
1827
1828 /* Calculate the fractional part of the exponent. */
1829 for (unsigned i = 0; i < synth_info.deepest; i++)
1830 {
1831 if (synth_info.factors[i])
1832 {
1833 tree sqrt_chain = get_fn_chain (arg0, i + 1, gsi, sqrtfn, loc, cache);
1834
1835 if (!fract_res)
1836 fract_res = sqrt_chain;
1837
1838 else
1839 fract_res = build_and_insert_binop (gsi, loc, "powroot", MULT_EXPR,
1840 fract_res, sqrt_chain);
1841 }
1842 }
1843
1844 tree res = NULL_TREE;
1845
1846 if (neg_exp)
1847 {
1848 if (one_over)
1849 {
1850 if (n > 0)
1851 res = build_and_insert_binop (gsi, loc, "powroot", MULT_EXPR,
1852 fract_res, integer_res);
1853 else
1854 res = fract_res;
1855
1856 res = build_and_insert_binop (gsi, loc, "powrootrecip", RDIV_EXPR,
1857 build_real (type, dconst1), res);
1858 }
1859 else
1860 {
1861 res = build_and_insert_binop (gsi, loc, "powroot", RDIV_EXPR,
1862 fract_res, integer_res);
1863 }
1864 }
1865 else
1866 res = build_and_insert_binop (gsi, loc, "powroot", MULT_EXPR,
1867 fract_res, integer_res);
1868 return res;
1869 }
1870
1871 /* ARG0 and ARG1 are the two arguments to a pow builtin call in GSI
1872 with location info LOC. If possible, create an equivalent and
1873 less expensive sequence of statements prior to GSI, and return an
1874 expession holding the result. */
1875
1876 static tree
1877 gimple_expand_builtin_pow (gimple_stmt_iterator *gsi, location_t loc,
1878 tree arg0, tree arg1)
1879 {
1880 REAL_VALUE_TYPE c, cint, dconst1_3, dconst1_4, dconst1_6;
1881 REAL_VALUE_TYPE c2, dconst3;
1882 HOST_WIDE_INT n;
1883 tree type, sqrtfn, cbrtfn, sqrt_arg0, result, cbrt_x, powi_cbrt_x;
1884 machine_mode mode;
1885 bool speed_p = optimize_bb_for_speed_p (gsi_bb (*gsi));
1886 bool hw_sqrt_exists, c_is_int, c2_is_int;
1887
1888 dconst1_4 = dconst1;
1889 SET_REAL_EXP (&dconst1_4, REAL_EXP (&dconst1_4) - 2);
1890
1891 /* If the exponent isn't a constant, there's nothing of interest
1892 to be done. */
1893 if (TREE_CODE (arg1) != REAL_CST)
1894 return NULL_TREE;
1895
1896 /* Don't perform the operation if flag_signaling_nans is on
1897 and the operand is a signaling NaN. */
1898 if (HONOR_SNANS (TYPE_MODE (TREE_TYPE (arg1)))
1899 && ((TREE_CODE (arg0) == REAL_CST
1900 && REAL_VALUE_ISSIGNALING_NAN (TREE_REAL_CST (arg0)))
1901 || REAL_VALUE_ISSIGNALING_NAN (TREE_REAL_CST (arg1))))
1902 return NULL_TREE;
1903
1904 /* If the exponent is equivalent to an integer, expand to an optimal
1905 multiplication sequence when profitable. */
1906 c = TREE_REAL_CST (arg1);
1907 n = real_to_integer (&c);
1908 real_from_integer (&cint, VOIDmode, n, SIGNED);
1909 c_is_int = real_identical (&c, &cint);
1910
1911 if (c_is_int
1912 && ((n >= -1 && n <= 2)
1913 || (flag_unsafe_math_optimizations
1914 && speed_p
1915 && powi_cost (n) <= POWI_MAX_MULTS)))
1916 return gimple_expand_builtin_powi (gsi, loc, arg0, n);
1917
1918 /* Attempt various optimizations using sqrt and cbrt. */
1919 type = TREE_TYPE (arg0);
1920 mode = TYPE_MODE (type);
1921 sqrtfn = mathfn_built_in (type, BUILT_IN_SQRT);
1922
1923 /* Optimize pow(x,0.5) = sqrt(x). This replacement is always safe
1924 unless signed zeros must be maintained. pow(-0,0.5) = +0, while
1925 sqrt(-0) = -0. */
1926 if (sqrtfn
1927 && real_equal (&c, &dconsthalf)
1928 && !HONOR_SIGNED_ZEROS (mode))
1929 return build_and_insert_call (gsi, loc, sqrtfn, arg0);
1930
1931 hw_sqrt_exists = optab_handler (sqrt_optab, mode) != CODE_FOR_nothing;
1932
1933 /* Optimize pow(x,1./3.) = cbrt(x). This requires unsafe math
1934 optimizations since 1./3. is not exactly representable. If x
1935 is negative and finite, the correct value of pow(x,1./3.) is
1936 a NaN with the "invalid" exception raised, because the value
1937 of 1./3. actually has an even denominator. The correct value
1938 of cbrt(x) is a negative real value. */
1939 cbrtfn = mathfn_built_in (type, BUILT_IN_CBRT);
1940 dconst1_3 = real_value_truncate (mode, dconst_third ());
1941
1942 if (flag_unsafe_math_optimizations
1943 && cbrtfn
1944 && (!HONOR_NANS (mode) || tree_expr_nonnegative_p (arg0))
1945 && real_equal (&c, &dconst1_3))
1946 return build_and_insert_call (gsi, loc, cbrtfn, arg0);
1947
1948 /* Optimize pow(x,1./6.) = cbrt(sqrt(x)). Don't do this optimization
1949 if we don't have a hardware sqrt insn. */
1950 dconst1_6 = dconst1_3;
1951 SET_REAL_EXP (&dconst1_6, REAL_EXP (&dconst1_6) - 1);
1952
1953 if (flag_unsafe_math_optimizations
1954 && sqrtfn
1955 && cbrtfn
1956 && (!HONOR_NANS (mode) || tree_expr_nonnegative_p (arg0))
1957 && speed_p
1958 && hw_sqrt_exists
1959 && real_equal (&c, &dconst1_6))
1960 {
1961 /* sqrt(x) */
1962 sqrt_arg0 = build_and_insert_call (gsi, loc, sqrtfn, arg0);
1963
1964 /* cbrt(sqrt(x)) */
1965 return build_and_insert_call (gsi, loc, cbrtfn, sqrt_arg0);
1966 }
1967
1968
1969 /* Attempt to expand the POW as a product of square root chains.
1970 Expand the 0.25 case even when otpimising for size. */
1971 if (flag_unsafe_math_optimizations
1972 && sqrtfn
1973 && hw_sqrt_exists
1974 && (speed_p || real_equal (&c, &dconst1_4))
1975 && !HONOR_SIGNED_ZEROS (mode))
1976 {
1977 unsigned int max_depth = speed_p
1978 ? PARAM_VALUE (PARAM_MAX_POW_SQRT_DEPTH)
1979 : 2;
1980
1981 tree expand_with_sqrts
1982 = expand_pow_as_sqrts (gsi, loc, arg0, arg1, max_depth);
1983
1984 if (expand_with_sqrts)
1985 return expand_with_sqrts;
1986 }
1987
1988 real_arithmetic (&c2, MULT_EXPR, &c, &dconst2);
1989 n = real_to_integer (&c2);
1990 real_from_integer (&cint, VOIDmode, n, SIGNED);
1991 c2_is_int = real_identical (&c2, &cint);
1992
1993 /* Optimize pow(x,c), where 3c = n for some nonzero integer n, into
1994
1995 powi(x, n/3) * powi(cbrt(x), n%3), n > 0;
1996 1.0 / (powi(x, abs(n)/3) * powi(cbrt(x), abs(n)%3)), n < 0.
1997
1998 Do not calculate the first factor when n/3 = 0. As cbrt(x) is
1999 different from pow(x, 1./3.) due to rounding and behavior with
2000 negative x, we need to constrain this transformation to unsafe
2001 math and positive x or finite math. */
2002 real_from_integer (&dconst3, VOIDmode, 3, SIGNED);
2003 real_arithmetic (&c2, MULT_EXPR, &c, &dconst3);
2004 real_round (&c2, mode, &c2);
2005 n = real_to_integer (&c2);
2006 real_from_integer (&cint, VOIDmode, n, SIGNED);
2007 real_arithmetic (&c2, RDIV_EXPR, &cint, &dconst3);
2008 real_convert (&c2, mode, &c2);
2009
2010 if (flag_unsafe_math_optimizations
2011 && cbrtfn
2012 && (!HONOR_NANS (mode) || tree_expr_nonnegative_p (arg0))
2013 && real_identical (&c2, &c)
2014 && !c2_is_int
2015 && optimize_function_for_speed_p (cfun)
2016 && powi_cost (n / 3) <= POWI_MAX_MULTS)
2017 {
2018 tree powi_x_ndiv3 = NULL_TREE;
2019
2020 /* Attempt to fold powi(arg0, abs(n/3)) into multiplies. If not
2021 possible or profitable, give up. Skip the degenerate case when
2022 abs(n) < 3, where the result is always 1. */
2023 if (absu_hwi (n) >= 3)
2024 {
2025 powi_x_ndiv3 = gimple_expand_builtin_powi (gsi, loc, arg0,
2026 abs_hwi (n / 3));
2027 if (!powi_x_ndiv3)
2028 return NULL_TREE;
2029 }
2030
2031 /* Calculate powi(cbrt(x), n%3). Don't use gimple_expand_builtin_powi
2032 as that creates an unnecessary variable. Instead, just produce
2033 either cbrt(x) or cbrt(x) * cbrt(x). */
2034 cbrt_x = build_and_insert_call (gsi, loc, cbrtfn, arg0);
2035
2036 if (absu_hwi (n) % 3 == 1)
2037 powi_cbrt_x = cbrt_x;
2038 else
2039 powi_cbrt_x = build_and_insert_binop (gsi, loc, "powroot", MULT_EXPR,
2040 cbrt_x, cbrt_x);
2041
2042 /* Multiply the two subexpressions, unless powi(x,abs(n)/3) = 1. */
2043 if (absu_hwi (n) < 3)
2044 result = powi_cbrt_x;
2045 else
2046 result = build_and_insert_binop (gsi, loc, "powroot", MULT_EXPR,
2047 powi_x_ndiv3, powi_cbrt_x);
2048
2049 /* If n is negative, reciprocate the result. */
2050 if (n < 0)
2051 result = build_and_insert_binop (gsi, loc, "powroot", RDIV_EXPR,
2052 build_real (type, dconst1), result);
2053
2054 return result;
2055 }
2056
2057 /* No optimizations succeeded. */
2058 return NULL_TREE;
2059 }
2060
2061 /* ARG is the argument to a cabs builtin call in GSI with location info
2062 LOC. Create a sequence of statements prior to GSI that calculates
2063 sqrt(R*R + I*I), where R and I are the real and imaginary components
2064 of ARG, respectively. Return an expression holding the result. */
2065
2066 static tree
2067 gimple_expand_builtin_cabs (gimple_stmt_iterator *gsi, location_t loc, tree arg)
2068 {
2069 tree real_part, imag_part, addend1, addend2, sum, result;
2070 tree type = TREE_TYPE (TREE_TYPE (arg));
2071 tree sqrtfn = mathfn_built_in (type, BUILT_IN_SQRT);
2072 machine_mode mode = TYPE_MODE (type);
2073
2074 if (!flag_unsafe_math_optimizations
2075 || !optimize_bb_for_speed_p (gimple_bb (gsi_stmt (*gsi)))
2076 || !sqrtfn
2077 || optab_handler (sqrt_optab, mode) == CODE_FOR_nothing)
2078 return NULL_TREE;
2079
2080 real_part = build_and_insert_ref (gsi, loc, type, "cabs",
2081 REALPART_EXPR, arg);
2082 addend1 = build_and_insert_binop (gsi, loc, "cabs", MULT_EXPR,
2083 real_part, real_part);
2084 imag_part = build_and_insert_ref (gsi, loc, type, "cabs",
2085 IMAGPART_EXPR, arg);
2086 addend2 = build_and_insert_binop (gsi, loc, "cabs", MULT_EXPR,
2087 imag_part, imag_part);
2088 sum = build_and_insert_binop (gsi, loc, "cabs", PLUS_EXPR, addend1, addend2);
2089 result = build_and_insert_call (gsi, loc, sqrtfn, sum);
2090
2091 return result;
2092 }
2093
2094 /* Go through all calls to sin, cos and cexpi and call execute_cse_sincos_1
2095 on the SSA_NAME argument of each of them. Also expand powi(x,n) into
2096 an optimal number of multiplies, when n is a constant. */
2097
2098 namespace {
2099
2100 const pass_data pass_data_cse_sincos =
2101 {
2102 GIMPLE_PASS, /* type */
2103 "sincos", /* name */
2104 OPTGROUP_NONE, /* optinfo_flags */
2105 TV_TREE_SINCOS, /* tv_id */
2106 PROP_ssa, /* properties_required */
2107 PROP_gimple_opt_math, /* properties_provided */
2108 0, /* properties_destroyed */
2109 0, /* todo_flags_start */
2110 TODO_update_ssa, /* todo_flags_finish */
2111 };
2112
2113 class pass_cse_sincos : public gimple_opt_pass
2114 {
2115 public:
2116 pass_cse_sincos (gcc::context *ctxt)
2117 : gimple_opt_pass (pass_data_cse_sincos, ctxt)
2118 {}
2119
2120 /* opt_pass methods: */
2121 virtual bool gate (function *)
2122 {
2123 /* We no longer require either sincos or cexp, since powi expansion
2124 piggybacks on this pass. */
2125 return optimize;
2126 }
2127
2128 virtual unsigned int execute (function *);
2129
2130 }; // class pass_cse_sincos
2131
2132 unsigned int
2133 pass_cse_sincos::execute (function *fun)
2134 {
2135 basic_block bb;
2136 bool cfg_changed = false;
2137
2138 calculate_dominance_info (CDI_DOMINATORS);
2139 memset (&sincos_stats, 0, sizeof (sincos_stats));
2140
2141 FOR_EACH_BB_FN (bb, fun)
2142 {
2143 gimple_stmt_iterator gsi;
2144 bool cleanup_eh = false;
2145
2146 for (gsi = gsi_after_labels (bb); !gsi_end_p (gsi); gsi_next (&gsi))
2147 {
2148 gimple *stmt = gsi_stmt (gsi);
2149
2150 /* Only the last stmt in a bb could throw, no need to call
2151 gimple_purge_dead_eh_edges if we change something in the middle
2152 of a basic block. */
2153 cleanup_eh = false;
2154
2155 if (is_gimple_call (stmt)
2156 && gimple_call_lhs (stmt))
2157 {
2158 tree arg, arg0, arg1, result;
2159 HOST_WIDE_INT n;
2160 location_t loc;
2161
2162 switch (gimple_call_combined_fn (stmt))
2163 {
2164 CASE_CFN_COS:
2165 CASE_CFN_SIN:
2166 CASE_CFN_CEXPI:
2167 /* Make sure we have either sincos or cexp. */
2168 if (!targetm.libc_has_function (function_c99_math_complex)
2169 && !targetm.libc_has_function (function_sincos))
2170 break;
2171
2172 arg = gimple_call_arg (stmt, 0);
2173 if (TREE_CODE (arg) == SSA_NAME)
2174 cfg_changed |= execute_cse_sincos_1 (arg);
2175 break;
2176
2177 CASE_CFN_POW:
2178 arg0 = gimple_call_arg (stmt, 0);
2179 arg1 = gimple_call_arg (stmt, 1);
2180
2181 loc = gimple_location (stmt);
2182 result = gimple_expand_builtin_pow (&gsi, loc, arg0, arg1);
2183
2184 if (result)
2185 {
2186 tree lhs = gimple_get_lhs (stmt);
2187 gassign *new_stmt = gimple_build_assign (lhs, result);
2188 gimple_set_location (new_stmt, loc);
2189 unlink_stmt_vdef (stmt);
2190 gsi_replace (&gsi, new_stmt, true);
2191 cleanup_eh = true;
2192 if (gimple_vdef (stmt))
2193 release_ssa_name (gimple_vdef (stmt));
2194 }
2195 break;
2196
2197 CASE_CFN_POWI:
2198 arg0 = gimple_call_arg (stmt, 0);
2199 arg1 = gimple_call_arg (stmt, 1);
2200 loc = gimple_location (stmt);
2201
2202 if (real_minus_onep (arg0))
2203 {
2204 tree t0, t1, cond, one, minus_one;
2205 gassign *stmt;
2206
2207 t0 = TREE_TYPE (arg0);
2208 t1 = TREE_TYPE (arg1);
2209 one = build_real (t0, dconst1);
2210 minus_one = build_real (t0, dconstm1);
2211
2212 cond = make_temp_ssa_name (t1, NULL, "powi_cond");
2213 stmt = gimple_build_assign (cond, BIT_AND_EXPR,
2214 arg1, build_int_cst (t1, 1));
2215 gimple_set_location (stmt, loc);
2216 gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
2217
2218 result = make_temp_ssa_name (t0, NULL, "powi");
2219 stmt = gimple_build_assign (result, COND_EXPR, cond,
2220 minus_one, one);
2221 gimple_set_location (stmt, loc);
2222 gsi_insert_before (&gsi, stmt, GSI_SAME_STMT);
2223 }
2224 else
2225 {
2226 if (!tree_fits_shwi_p (arg1))
2227 break;
2228
2229 n = tree_to_shwi (arg1);
2230 result = gimple_expand_builtin_powi (&gsi, loc, arg0, n);
2231 }
2232
2233 if (result)
2234 {
2235 tree lhs = gimple_get_lhs (stmt);
2236 gassign *new_stmt = gimple_build_assign (lhs, result);
2237 gimple_set_location (new_stmt, loc);
2238 unlink_stmt_vdef (stmt);
2239 gsi_replace (&gsi, new_stmt, true);
2240 cleanup_eh = true;
2241 if (gimple_vdef (stmt))
2242 release_ssa_name (gimple_vdef (stmt));
2243 }
2244 break;
2245
2246 CASE_CFN_CABS:
2247 arg0 = gimple_call_arg (stmt, 0);
2248 loc = gimple_location (stmt);
2249 result = gimple_expand_builtin_cabs (&gsi, loc, arg0);
2250
2251 if (result)
2252 {
2253 tree lhs = gimple_get_lhs (stmt);
2254 gassign *new_stmt = gimple_build_assign (lhs, result);
2255 gimple_set_location (new_stmt, loc);
2256 unlink_stmt_vdef (stmt);
2257 gsi_replace (&gsi, new_stmt, true);
2258 cleanup_eh = true;
2259 if (gimple_vdef (stmt))
2260 release_ssa_name (gimple_vdef (stmt));
2261 }
2262 break;
2263
2264 default:;
2265 }
2266 }
2267 }
2268 if (cleanup_eh)
2269 cfg_changed |= gimple_purge_dead_eh_edges (bb);
2270 }
2271
2272 statistics_counter_event (fun, "sincos statements inserted",
2273 sincos_stats.inserted);
2274
2275 return cfg_changed ? TODO_cleanup_cfg : 0;
2276 }
2277
2278 } // anon namespace
2279
2280 gimple_opt_pass *
2281 make_pass_cse_sincos (gcc::context *ctxt)
2282 {
2283 return new pass_cse_sincos (ctxt);
2284 }
2285
2286 /* Return true if stmt is a type conversion operation that can be stripped
2287 when used in a widening multiply operation. */
2288 static bool
2289 widening_mult_conversion_strippable_p (tree result_type, gimple *stmt)
2290 {
2291 enum tree_code rhs_code = gimple_assign_rhs_code (stmt);
2292
2293 if (TREE_CODE (result_type) == INTEGER_TYPE)
2294 {
2295 tree op_type;
2296 tree inner_op_type;
2297
2298 if (!CONVERT_EXPR_CODE_P (rhs_code))
2299 return false;
2300
2301 op_type = TREE_TYPE (gimple_assign_lhs (stmt));
2302
2303 /* If the type of OP has the same precision as the result, then
2304 we can strip this conversion. The multiply operation will be
2305 selected to create the correct extension as a by-product. */
2306 if (TYPE_PRECISION (result_type) == TYPE_PRECISION (op_type))
2307 return true;
2308
2309 /* We can also strip a conversion if it preserves the signed-ness of
2310 the operation and doesn't narrow the range. */
2311 inner_op_type = TREE_TYPE (gimple_assign_rhs1 (stmt));
2312
2313 /* If the inner-most type is unsigned, then we can strip any
2314 intermediate widening operation. If it's signed, then the
2315 intermediate widening operation must also be signed. */
2316 if ((TYPE_UNSIGNED (inner_op_type)
2317 || TYPE_UNSIGNED (op_type) == TYPE_UNSIGNED (inner_op_type))
2318 && TYPE_PRECISION (op_type) > TYPE_PRECISION (inner_op_type))
2319 return true;
2320
2321 return false;
2322 }
2323
2324 return rhs_code == FIXED_CONVERT_EXPR;
2325 }
2326
2327 /* Return true if RHS is a suitable operand for a widening multiplication,
2328 assuming a target type of TYPE.
2329 There are two cases:
2330
2331 - RHS makes some value at least twice as wide. Store that value
2332 in *NEW_RHS_OUT if so, and store its type in *TYPE_OUT.
2333
2334 - RHS is an integer constant. Store that value in *NEW_RHS_OUT if so,
2335 but leave *TYPE_OUT untouched. */
2336
2337 static bool
2338 is_widening_mult_rhs_p (tree type, tree rhs, tree *type_out,
2339 tree *new_rhs_out)
2340 {
2341 gimple *stmt;
2342 tree type1, rhs1;
2343
2344 if (TREE_CODE (rhs) == SSA_NAME)
2345 {
2346 stmt = SSA_NAME_DEF_STMT (rhs);
2347 if (is_gimple_assign (stmt))
2348 {
2349 if (! widening_mult_conversion_strippable_p (type, stmt))
2350 rhs1 = rhs;
2351 else
2352 {
2353 rhs1 = gimple_assign_rhs1 (stmt);
2354
2355 if (TREE_CODE (rhs1) == INTEGER_CST)
2356 {
2357 *new_rhs_out = rhs1;
2358 *type_out = NULL;
2359 return true;
2360 }
2361 }
2362 }
2363 else
2364 rhs1 = rhs;
2365
2366 type1 = TREE_TYPE (rhs1);
2367
2368 if (TREE_CODE (type1) != TREE_CODE (type)
2369 || TYPE_PRECISION (type1) * 2 > TYPE_PRECISION (type))
2370 return false;
2371
2372 *new_rhs_out = rhs1;
2373 *type_out = type1;
2374 return true;
2375 }
2376
2377 if (TREE_CODE (rhs) == INTEGER_CST)
2378 {
2379 *new_rhs_out = rhs;
2380 *type_out = NULL;
2381 return true;
2382 }
2383
2384 return false;
2385 }
2386
2387 /* Return true if STMT performs a widening multiplication, assuming the
2388 output type is TYPE. If so, store the unwidened types of the operands
2389 in *TYPE1_OUT and *TYPE2_OUT respectively. Also fill *RHS1_OUT and
2390 *RHS2_OUT such that converting those operands to types *TYPE1_OUT
2391 and *TYPE2_OUT would give the operands of the multiplication. */
2392
2393 static bool
2394 is_widening_mult_p (gimple *stmt,
2395 tree *type1_out, tree *rhs1_out,
2396 tree *type2_out, tree *rhs2_out)
2397 {
2398 tree type = TREE_TYPE (gimple_assign_lhs (stmt));
2399
2400 if (TREE_CODE (type) == INTEGER_TYPE)
2401 {
2402 if (TYPE_OVERFLOW_TRAPS (type))
2403 return false;
2404 }
2405 else if (TREE_CODE (type) != FIXED_POINT_TYPE)
2406 return false;
2407
2408 if (!is_widening_mult_rhs_p (type, gimple_assign_rhs1 (stmt), type1_out,
2409 rhs1_out))
2410 return false;
2411
2412 if (!is_widening_mult_rhs_p (type, gimple_assign_rhs2 (stmt), type2_out,
2413 rhs2_out))
2414 return false;
2415
2416 if (*type1_out == NULL)
2417 {
2418 if (*type2_out == NULL || !int_fits_type_p (*rhs1_out, *type2_out))
2419 return false;
2420 *type1_out = *type2_out;
2421 }
2422
2423 if (*type2_out == NULL)
2424 {
2425 if (!int_fits_type_p (*rhs2_out, *type1_out))
2426 return false;
2427 *type2_out = *type1_out;
2428 }
2429
2430 /* Ensure that the larger of the two operands comes first. */
2431 if (TYPE_PRECISION (*type1_out) < TYPE_PRECISION (*type2_out))
2432 {
2433 std::swap (*type1_out, *type2_out);
2434 std::swap (*rhs1_out, *rhs2_out);
2435 }
2436
2437 return true;
2438 }
2439
2440 /* Check to see if the CALL statement is an invocation of copysign
2441 with 1. being the first argument. */
2442 static bool
2443 is_copysign_call_with_1 (gimple *call)
2444 {
2445 gcall *c = dyn_cast <gcall *> (call);
2446 if (! c)
2447 return false;
2448
2449 enum combined_fn code = gimple_call_combined_fn (c);
2450
2451 if (code == CFN_LAST)
2452 return false;
2453
2454 if (builtin_fn_p (code))
2455 {
2456 switch (as_builtin_fn (code))
2457 {
2458 CASE_FLT_FN (BUILT_IN_COPYSIGN):
2459 CASE_FLT_FN_FLOATN_NX (BUILT_IN_COPYSIGN):
2460 return real_onep (gimple_call_arg (c, 0));
2461 default:
2462 return false;
2463 }
2464 }
2465
2466 if (internal_fn_p (code))
2467 {
2468 switch (as_internal_fn (code))
2469 {
2470 case IFN_COPYSIGN:
2471 return real_onep (gimple_call_arg (c, 0));
2472 default:
2473 return false;
2474 }
2475 }
2476
2477 return false;
2478 }
2479
2480 /* Try to expand the pattern x * copysign (1, y) into xorsign (x, y).
2481 This only happens when the the xorsign optab is defined, if the
2482 pattern is not a xorsign pattern or if expansion fails FALSE is
2483 returned, otherwise TRUE is returned. */
2484 static bool
2485 convert_expand_mult_copysign (gimple *stmt, gimple_stmt_iterator *gsi)
2486 {
2487 tree treeop0, treeop1, lhs, type;
2488 location_t loc = gimple_location (stmt);
2489 lhs = gimple_assign_lhs (stmt);
2490 treeop0 = gimple_assign_rhs1 (stmt);
2491 treeop1 = gimple_assign_rhs2 (stmt);
2492 type = TREE_TYPE (lhs);
2493 machine_mode mode = TYPE_MODE (type);
2494
2495 if (HONOR_SNANS (type))
2496 return false;
2497
2498 if (TREE_CODE (treeop0) == SSA_NAME && TREE_CODE (treeop1) == SSA_NAME)
2499 {
2500 gimple *call0 = SSA_NAME_DEF_STMT (treeop0);
2501 if (!has_single_use (treeop0) || !is_copysign_call_with_1 (call0))
2502 {
2503 call0 = SSA_NAME_DEF_STMT (treeop1);
2504 if (!has_single_use (treeop1) || !is_copysign_call_with_1 (call0))
2505 return false;
2506
2507 treeop1 = treeop0;
2508 }
2509 if (optab_handler (xorsign_optab, mode) == CODE_FOR_nothing)
2510 return false;
2511
2512 gcall *c = as_a<gcall*> (call0);
2513 treeop0 = gimple_call_arg (c, 1);
2514
2515 gcall *call_stmt
2516 = gimple_build_call_internal (IFN_XORSIGN, 2, treeop1, treeop0);
2517 gimple_set_lhs (call_stmt, lhs);
2518 gimple_set_location (call_stmt, loc);
2519 gsi_replace (gsi, call_stmt, true);
2520 return true;
2521 }
2522
2523 return false;
2524 }
2525
2526 /* Process a single gimple statement STMT, which has a MULT_EXPR as
2527 its rhs, and try to convert it into a WIDEN_MULT_EXPR. The return
2528 value is true iff we converted the statement. */
2529
2530 static bool
2531 convert_mult_to_widen (gimple *stmt, gimple_stmt_iterator *gsi)
2532 {
2533 tree lhs, rhs1, rhs2, type, type1, type2;
2534 enum insn_code handler;
2535 scalar_int_mode to_mode, from_mode, actual_mode;
2536 optab op;
2537 int actual_precision;
2538 location_t loc = gimple_location (stmt);
2539 bool from_unsigned1, from_unsigned2;
2540
2541 lhs = gimple_assign_lhs (stmt);
2542 type = TREE_TYPE (lhs);
2543 if (TREE_CODE (type) != INTEGER_TYPE)
2544 return false;
2545
2546 if (!is_widening_mult_p (stmt, &type1, &rhs1, &type2, &rhs2))
2547 return false;
2548
2549 to_mode = SCALAR_INT_TYPE_MODE (type);
2550 from_mode = SCALAR_INT_TYPE_MODE (type1);
2551 if (to_mode == from_mode)
2552 return false;
2553
2554 from_unsigned1 = TYPE_UNSIGNED (type1);
2555 from_unsigned2 = TYPE_UNSIGNED (type2);
2556
2557 if (from_unsigned1 && from_unsigned2)
2558 op = umul_widen_optab;
2559 else if (!from_unsigned1 && !from_unsigned2)
2560 op = smul_widen_optab;
2561 else
2562 op = usmul_widen_optab;
2563
2564 handler = find_widening_optab_handler_and_mode (op, to_mode, from_mode,
2565 &actual_mode);
2566
2567 if (handler == CODE_FOR_nothing)
2568 {
2569 if (op != smul_widen_optab)
2570 {
2571 /* We can use a signed multiply with unsigned types as long as
2572 there is a wider mode to use, or it is the smaller of the two
2573 types that is unsigned. Note that type1 >= type2, always. */
2574 if ((TYPE_UNSIGNED (type1)
2575 && TYPE_PRECISION (type1) == GET_MODE_PRECISION (from_mode))
2576 || (TYPE_UNSIGNED (type2)
2577 && TYPE_PRECISION (type2) == GET_MODE_PRECISION (from_mode)))
2578 {
2579 if (!GET_MODE_WIDER_MODE (from_mode).exists (&from_mode)
2580 || GET_MODE_SIZE (to_mode) <= GET_MODE_SIZE (from_mode))
2581 return false;
2582 }
2583
2584 op = smul_widen_optab;
2585 handler = find_widening_optab_handler_and_mode (op, to_mode,
2586 from_mode,
2587 &actual_mode);
2588
2589 if (handler == CODE_FOR_nothing)
2590 return false;
2591
2592 from_unsigned1 = from_unsigned2 = false;
2593 }
2594 else
2595 return false;
2596 }
2597
2598 /* Ensure that the inputs to the handler are in the correct precison
2599 for the opcode. This will be the full mode size. */
2600 actual_precision = GET_MODE_PRECISION (actual_mode);
2601 if (2 * actual_precision > TYPE_PRECISION (type))
2602 return false;
2603 if (actual_precision != TYPE_PRECISION (type1)
2604 || from_unsigned1 != TYPE_UNSIGNED (type1))
2605 rhs1 = build_and_insert_cast (gsi, loc,
2606 build_nonstandard_integer_type
2607 (actual_precision, from_unsigned1), rhs1);
2608 if (actual_precision != TYPE_PRECISION (type2)
2609 || from_unsigned2 != TYPE_UNSIGNED (type2))
2610 rhs2 = build_and_insert_cast (gsi, loc,
2611 build_nonstandard_integer_type
2612 (actual_precision, from_unsigned2), rhs2);
2613
2614 /* Handle constants. */
2615 if (TREE_CODE (rhs1) == INTEGER_CST)
2616 rhs1 = fold_convert (type1, rhs1);
2617 if (TREE_CODE (rhs2) == INTEGER_CST)
2618 rhs2 = fold_convert (type2, rhs2);
2619
2620 gimple_assign_set_rhs1 (stmt, rhs1);
2621 gimple_assign_set_rhs2 (stmt, rhs2);
2622 gimple_assign_set_rhs_code (stmt, WIDEN_MULT_EXPR);
2623 update_stmt (stmt);
2624 widen_mul_stats.widen_mults_inserted++;
2625 return true;
2626 }
2627
2628 /* Process a single gimple statement STMT, which is found at the
2629 iterator GSI and has a either a PLUS_EXPR or a MINUS_EXPR as its
2630 rhs (given by CODE), and try to convert it into a
2631 WIDEN_MULT_PLUS_EXPR or a WIDEN_MULT_MINUS_EXPR. The return value
2632 is true iff we converted the statement. */
2633
2634 static bool
2635 convert_plusminus_to_widen (gimple_stmt_iterator *gsi, gimple *stmt,
2636 enum tree_code code)
2637 {
2638 gimple *rhs1_stmt = NULL, *rhs2_stmt = NULL;
2639 gimple *conv1_stmt = NULL, *conv2_stmt = NULL, *conv_stmt;
2640 tree type, type1, type2, optype;
2641 tree lhs, rhs1, rhs2, mult_rhs1, mult_rhs2, add_rhs;
2642 enum tree_code rhs1_code = ERROR_MARK, rhs2_code = ERROR_MARK;
2643 optab this_optab;
2644 enum tree_code wmult_code;
2645 enum insn_code handler;
2646 scalar_mode to_mode, from_mode, actual_mode;
2647 location_t loc = gimple_location (stmt);
2648 int actual_precision;
2649 bool from_unsigned1, from_unsigned2;
2650
2651 lhs = gimple_assign_lhs (stmt);
2652 type = TREE_TYPE (lhs);
2653 if (TREE_CODE (type) != INTEGER_TYPE
2654 && TREE_CODE (type) != FIXED_POINT_TYPE)
2655 return false;
2656
2657 if (code == MINUS_EXPR)
2658 wmult_code = WIDEN_MULT_MINUS_EXPR;
2659 else
2660 wmult_code = WIDEN_MULT_PLUS_EXPR;
2661
2662 rhs1 = gimple_assign_rhs1 (stmt);
2663 rhs2 = gimple_assign_rhs2 (stmt);
2664
2665 if (TREE_CODE (rhs1) == SSA_NAME)
2666 {
2667 rhs1_stmt = SSA_NAME_DEF_STMT (rhs1);
2668 if (is_gimple_assign (rhs1_stmt))
2669 rhs1_code = gimple_assign_rhs_code (rhs1_stmt);
2670 }
2671
2672 if (TREE_CODE (rhs2) == SSA_NAME)
2673 {
2674 rhs2_stmt = SSA_NAME_DEF_STMT (rhs2);
2675 if (is_gimple_assign (rhs2_stmt))
2676 rhs2_code = gimple_assign_rhs_code (rhs2_stmt);
2677 }
2678
2679 /* Allow for one conversion statement between the multiply
2680 and addition/subtraction statement. If there are more than
2681 one conversions then we assume they would invalidate this
2682 transformation. If that's not the case then they should have
2683 been folded before now. */
2684 if (CONVERT_EXPR_CODE_P (rhs1_code))
2685 {
2686 conv1_stmt = rhs1_stmt;
2687 rhs1 = gimple_assign_rhs1 (rhs1_stmt);
2688 if (TREE_CODE (rhs1) == SSA_NAME)
2689 {
2690 rhs1_stmt = SSA_NAME_DEF_STMT (rhs1);
2691 if (is_gimple_assign (rhs1_stmt))
2692 rhs1_code = gimple_assign_rhs_code (rhs1_stmt);
2693 }
2694 else
2695 return false;
2696 }
2697 if (CONVERT_EXPR_CODE_P (rhs2_code))
2698 {
2699 conv2_stmt = rhs2_stmt;
2700 rhs2 = gimple_assign_rhs1 (rhs2_stmt);
2701 if (TREE_CODE (rhs2) == SSA_NAME)
2702 {
2703 rhs2_stmt = SSA_NAME_DEF_STMT (rhs2);
2704 if (is_gimple_assign (rhs2_stmt))
2705 rhs2_code = gimple_assign_rhs_code (rhs2_stmt);
2706 }
2707 else
2708 return false;
2709 }
2710
2711 /* If code is WIDEN_MULT_EXPR then it would seem unnecessary to call
2712 is_widening_mult_p, but we still need the rhs returns.
2713
2714 It might also appear that it would be sufficient to use the existing
2715 operands of the widening multiply, but that would limit the choice of
2716 multiply-and-accumulate instructions.
2717
2718 If the widened-multiplication result has more than one uses, it is
2719 probably wiser not to do the conversion. */
2720 if (code == PLUS_EXPR
2721 && (rhs1_code == MULT_EXPR || rhs1_code == WIDEN_MULT_EXPR))
2722 {
2723 if (!has_single_use (rhs1)
2724 || !is_widening_mult_p (rhs1_stmt, &type1, &mult_rhs1,
2725 &type2, &mult_rhs2))
2726 return false;
2727 add_rhs = rhs2;
2728 conv_stmt = conv1_stmt;
2729 }
2730 else if (rhs2_code == MULT_EXPR || rhs2_code == WIDEN_MULT_EXPR)
2731 {
2732 if (!has_single_use (rhs2)
2733 || !is_widening_mult_p (rhs2_stmt, &type1, &mult_rhs1,
2734 &type2, &mult_rhs2))
2735 return false;
2736 add_rhs = rhs1;
2737 conv_stmt = conv2_stmt;
2738 }
2739 else
2740 return false;
2741
2742 to_mode = SCALAR_TYPE_MODE (type);
2743 from_mode = SCALAR_TYPE_MODE (type1);
2744 if (to_mode == from_mode)
2745 return false;
2746
2747 from_unsigned1 = TYPE_UNSIGNED (type1);
2748 from_unsigned2 = TYPE_UNSIGNED (type2);
2749 optype = type1;
2750
2751 /* There's no such thing as a mixed sign madd yet, so use a wider mode. */
2752 if (from_unsigned1 != from_unsigned2)
2753 {
2754 if (!INTEGRAL_TYPE_P (type))
2755 return false;
2756 /* We can use a signed multiply with unsigned types as long as
2757 there is a wider mode to use, or it is the smaller of the two
2758 types that is unsigned. Note that type1 >= type2, always. */
2759 if ((from_unsigned1
2760 && TYPE_PRECISION (type1) == GET_MODE_PRECISION (from_mode))
2761 || (from_unsigned2
2762 && TYPE_PRECISION (type2) == GET_MODE_PRECISION (from_mode)))
2763 {
2764 if (!GET_MODE_WIDER_MODE (from_mode).exists (&from_mode)
2765 || GET_MODE_SIZE (from_mode) >= GET_MODE_SIZE (to_mode))
2766 return false;
2767 }
2768
2769 from_unsigned1 = from_unsigned2 = false;
2770 optype = build_nonstandard_integer_type (GET_MODE_PRECISION (from_mode),
2771 false);
2772 }
2773
2774 /* If there was a conversion between the multiply and addition
2775 then we need to make sure it fits a multiply-and-accumulate.
2776 The should be a single mode change which does not change the
2777 value. */
2778 if (conv_stmt)
2779 {
2780 /* We use the original, unmodified data types for this. */
2781 tree from_type = TREE_TYPE (gimple_assign_rhs1 (conv_stmt));
2782 tree to_type = TREE_TYPE (gimple_assign_lhs (conv_stmt));
2783 int data_size = TYPE_PRECISION (type1) + TYPE_PRECISION (type2);
2784 bool is_unsigned = TYPE_UNSIGNED (type1) && TYPE_UNSIGNED (type2);
2785
2786 if (TYPE_PRECISION (from_type) > TYPE_PRECISION (to_type))
2787 {
2788 /* Conversion is a truncate. */
2789 if (TYPE_PRECISION (to_type) < data_size)
2790 return false;
2791 }
2792 else if (TYPE_PRECISION (from_type) < TYPE_PRECISION (to_type))
2793 {
2794 /* Conversion is an extend. Check it's the right sort. */
2795 if (TYPE_UNSIGNED (from_type) != is_unsigned
2796 && !(is_unsigned && TYPE_PRECISION (from_type) > data_size))
2797 return false;
2798 }
2799 /* else convert is a no-op for our purposes. */
2800 }
2801
2802 /* Verify that the machine can perform a widening multiply
2803 accumulate in this mode/signedness combination, otherwise
2804 this transformation is likely to pessimize code. */
2805 this_optab = optab_for_tree_code (wmult_code, optype, optab_default);
2806 handler = find_widening_optab_handler_and_mode (this_optab, to_mode,
2807 from_mode, &actual_mode);
2808
2809 if (handler == CODE_FOR_nothing)
2810 return false;
2811
2812 /* Ensure that the inputs to the handler are in the correct precison
2813 for the opcode. This will be the full mode size. */
2814 actual_precision = GET_MODE_PRECISION (actual_mode);
2815 if (actual_precision != TYPE_PRECISION (type1)
2816 || from_unsigned1 != TYPE_UNSIGNED (type1))
2817 mult_rhs1 = build_and_insert_cast (gsi, loc,
2818 build_nonstandard_integer_type
2819 (actual_precision, from_unsigned1),
2820 mult_rhs1);
2821 if (actual_precision != TYPE_PRECISION (type2)
2822 || from_unsigned2 != TYPE_UNSIGNED (type2))
2823 mult_rhs2 = build_and_insert_cast (gsi, loc,
2824 build_nonstandard_integer_type
2825 (actual_precision, from_unsigned2),
2826 mult_rhs2);
2827
2828 if (!useless_type_conversion_p (type, TREE_TYPE (add_rhs)))
2829 add_rhs = build_and_insert_cast (gsi, loc, type, add_rhs);
2830
2831 /* Handle constants. */
2832 if (TREE_CODE (mult_rhs1) == INTEGER_CST)
2833 mult_rhs1 = fold_convert (type1, mult_rhs1);
2834 if (TREE_CODE (mult_rhs2) == INTEGER_CST)
2835 mult_rhs2 = fold_convert (type2, mult_rhs2);
2836
2837 gimple_assign_set_rhs_with_ops (gsi, wmult_code, mult_rhs1, mult_rhs2,
2838 add_rhs);
2839 update_stmt (gsi_stmt (*gsi));
2840 widen_mul_stats.maccs_inserted++;
2841 return true;
2842 }
2843
2844 /* Given a result MUL_RESULT which is a result of a multiplication of OP1 and
2845 OP2 and which we know is used in statements that can be, together with the
2846 multiplication, converted to FMAs, perform the transformation. */
2847
2848 static void
2849 convert_mult_to_fma_1 (tree mul_result, tree op1, tree op2)
2850 {
2851 tree type = TREE_TYPE (mul_result);
2852 gimple *use_stmt;
2853 imm_use_iterator imm_iter;
2854 gcall *fma_stmt;
2855
2856 FOR_EACH_IMM_USE_STMT (use_stmt, imm_iter, mul_result)
2857 {
2858 gimple_stmt_iterator gsi = gsi_for_stmt (use_stmt);
2859 tree addop, mulop1 = op1, result = mul_result;
2860 bool negate_p = false;
2861 gimple_seq seq = NULL;
2862
2863 if (is_gimple_debug (use_stmt))
2864 continue;
2865
2866 if (is_gimple_assign (use_stmt)
2867 && gimple_assign_rhs_code (use_stmt) == NEGATE_EXPR)
2868 {
2869 result = gimple_assign_lhs (use_stmt);
2870 use_operand_p use_p;
2871 gimple *neguse_stmt;
2872 single_imm_use (gimple_assign_lhs (use_stmt), &use_p, &neguse_stmt);
2873 gsi_remove (&gsi, true);
2874 release_defs (use_stmt);
2875
2876 use_stmt = neguse_stmt;
2877 gsi = gsi_for_stmt (use_stmt);
2878 negate_p = true;
2879 }
2880
2881 tree cond, else_value, ops[3];
2882 tree_code code;
2883 if (!can_interpret_as_conditional_op_p (use_stmt, &cond, &code,
2884 ops, &else_value))
2885 gcc_unreachable ();
2886 addop = ops[0] == result ? ops[1] : ops[0];
2887
2888 if (code == MINUS_EXPR)
2889 {
2890 if (ops[0] == result)
2891 /* a * b - c -> a * b + (-c) */
2892 addop = gimple_build (&seq, NEGATE_EXPR, type, addop);
2893 else
2894 /* a - b * c -> (-b) * c + a */
2895 negate_p = !negate_p;
2896 }
2897
2898 if (negate_p)
2899 mulop1 = gimple_build (&seq, NEGATE_EXPR, type, mulop1);
2900
2901 if (seq)
2902 gsi_insert_seq_before (&gsi, seq, GSI_SAME_STMT);
2903
2904 if (cond)
2905 fma_stmt = gimple_build_call_internal (IFN_COND_FMA, 5, cond, mulop1,
2906 op2, addop, else_value);
2907 else
2908 fma_stmt = gimple_build_call_internal (IFN_FMA, 3, mulop1, op2, addop);
2909 gimple_set_lhs (fma_stmt, gimple_get_lhs (use_stmt));
2910 gimple_call_set_nothrow (fma_stmt, !stmt_can_throw_internal (cfun,
2911 use_stmt));
2912 gsi_replace (&gsi, fma_stmt, true);
2913 /* Follow all SSA edges so that we generate FMS, FNMA and FNMS
2914 regardless of where the negation occurs. */
2915 gimple *orig_stmt = gsi_stmt (gsi);
2916 if (fold_stmt (&gsi, follow_all_ssa_edges))
2917 {
2918 if (maybe_clean_or_replace_eh_stmt (orig_stmt, gsi_stmt (gsi)))
2919 gcc_unreachable ();
2920 update_stmt (gsi_stmt (gsi));
2921 }
2922
2923 if (dump_file && (dump_flags & TDF_DETAILS))
2924 {
2925 fprintf (dump_file, "Generated FMA ");
2926 print_gimple_stmt (dump_file, gsi_stmt (gsi), 0, TDF_NONE);
2927 fprintf (dump_file, "\n");
2928 }
2929
2930 widen_mul_stats.fmas_inserted++;
2931 }
2932 }
2933
2934 /* Data necessary to perform the actual transformation from a multiplication
2935 and an addition to an FMA after decision is taken it should be done and to
2936 then delete the multiplication statement from the function IL. */
2937
2938 struct fma_transformation_info
2939 {
2940 gimple *mul_stmt;
2941 tree mul_result;
2942 tree op1;
2943 tree op2;
2944 };
2945
2946 /* Structure containing the current state of FMA deferring, i.e. whether we are
2947 deferring, whether to continue deferring, and all data necessary to come
2948 back and perform all deferred transformations. */
2949
2950 class fma_deferring_state
2951 {
2952 public:
2953 /* Class constructor. Pass true as PERFORM_DEFERRING in order to actually
2954 do any deferring. */
2955
2956 fma_deferring_state (bool perform_deferring)
2957 : m_candidates (), m_mul_result_set (), m_initial_phi (NULL),
2958 m_last_result (NULL_TREE), m_deferring_p (perform_deferring) {}
2959
2960 /* List of FMA candidates for which we the transformation has been determined
2961 possible but we at this point in BB analysis we do not consider them
2962 beneficial. */
2963 auto_vec<fma_transformation_info, 8> m_candidates;
2964
2965 /* Set of results of multiplication that are part of an already deferred FMA
2966 candidates. */
2967 hash_set<tree> m_mul_result_set;
2968
2969 /* The PHI that supposedly feeds back result of a FMA to another over loop
2970 boundary. */
2971 gphi *m_initial_phi;
2972
2973 /* Result of the last produced FMA candidate or NULL if there has not been
2974 one. */
2975 tree m_last_result;
2976
2977 /* If true, deferring might still be profitable. If false, transform all
2978 candidates and no longer defer. */
2979 bool m_deferring_p;
2980 };
2981
2982 /* Transform all deferred FMA candidates and mark STATE as no longer
2983 deferring. */
2984
2985 static void
2986 cancel_fma_deferring (fma_deferring_state *state)
2987 {
2988 if (!state->m_deferring_p)
2989 return;
2990
2991 for (unsigned i = 0; i < state->m_candidates.length (); i++)
2992 {
2993 if (dump_file && (dump_flags & TDF_DETAILS))
2994 fprintf (dump_file, "Generating deferred FMA\n");
2995
2996 const fma_transformation_info &fti = state->m_candidates[i];
2997 convert_mult_to_fma_1 (fti.mul_result, fti.op1, fti.op2);
2998
2999 gimple_stmt_iterator gsi = gsi_for_stmt (fti.mul_stmt);
3000 gsi_remove (&gsi, true);
3001 release_defs (fti.mul_stmt);
3002 }
3003 state->m_deferring_p = false;
3004 }
3005
3006 /* If OP is an SSA name defined by a PHI node, return the PHI statement.
3007 Otherwise return NULL. */
3008
3009 static gphi *
3010 result_of_phi (tree op)
3011 {
3012 if (TREE_CODE (op) != SSA_NAME)
3013 return NULL;
3014
3015 return dyn_cast <gphi *> (SSA_NAME_DEF_STMT (op));
3016 }
3017
3018 /* After processing statements of a BB and recording STATE, return true if the
3019 initial phi is fed by the last FMA candidate result ore one such result from
3020 previously processed BBs marked in LAST_RESULT_SET. */
3021
3022 static bool
3023 last_fma_candidate_feeds_initial_phi (fma_deferring_state *state,
3024 hash_set<tree> *last_result_set)
3025 {
3026 ssa_op_iter iter;
3027 use_operand_p use;
3028 FOR_EACH_PHI_ARG (use, state->m_initial_phi, iter, SSA_OP_USE)
3029 {
3030 tree t = USE_FROM_PTR (use);
3031 if (t == state->m_last_result
3032 || last_result_set->contains (t))
3033 return true;
3034 }
3035
3036 return false;
3037 }
3038
3039 /* Combine the multiplication at MUL_STMT with operands MULOP1 and MULOP2
3040 with uses in additions and subtractions to form fused multiply-add
3041 operations. Returns true if successful and MUL_STMT should be removed.
3042 If MUL_COND is nonnull, the multiplication in MUL_STMT is conditional
3043 on MUL_COND, otherwise it is unconditional.
3044
3045 If STATE indicates that we are deferring FMA transformation, that means
3046 that we do not produce FMAs for basic blocks which look like:
3047
3048 <bb 6>
3049 # accumulator_111 = PHI <0.0(5), accumulator_66(6)>
3050 _65 = _14 * _16;
3051 accumulator_66 = _65 + accumulator_111;
3052
3053 or its unrolled version, i.e. with several FMA candidates that feed result
3054 of one into the addend of another. Instead, we add them to a list in STATE
3055 and if we later discover an FMA candidate that is not part of such a chain,
3056 we go back and perform all deferred past candidates. */
3057
3058 static bool
3059 convert_mult_to_fma (gimple *mul_stmt, tree op1, tree op2,
3060 fma_deferring_state *state, tree mul_cond = NULL_TREE)
3061 {
3062 tree mul_result = gimple_get_lhs (mul_stmt);
3063 tree type = TREE_TYPE (mul_result);
3064 gimple *use_stmt, *neguse_stmt;
3065 use_operand_p use_p;
3066 imm_use_iterator imm_iter;
3067
3068 if (FLOAT_TYPE_P (type)
3069 && flag_fp_contract_mode == FP_CONTRACT_OFF)
3070 return false;
3071
3072 /* We don't want to do bitfield reduction ops. */
3073 if (INTEGRAL_TYPE_P (type)
3074 && (!type_has_mode_precision_p (type) || TYPE_OVERFLOW_TRAPS (type)))
3075 return false;
3076
3077 /* If the target doesn't support it, don't generate it. We assume that
3078 if fma isn't available then fms, fnma or fnms are not either. */
3079 optimization_type opt_type = bb_optimization_type (gimple_bb (mul_stmt));
3080 if (!direct_internal_fn_supported_p (IFN_FMA, type, opt_type))
3081 return false;
3082
3083 /* If the multiplication has zero uses, it is kept around probably because
3084 of -fnon-call-exceptions. Don't optimize it away in that case,
3085 it is DCE job. */
3086 if (has_zero_uses (mul_result))
3087 return false;
3088
3089 bool check_defer
3090 = (state->m_deferring_p
3091 && (tree_to_shwi (TYPE_SIZE (type))
3092 <= PARAM_VALUE (PARAM_AVOID_FMA_MAX_BITS)));
3093 bool defer = check_defer;
3094 bool seen_negate_p = false;
3095 /* Make sure that the multiplication statement becomes dead after
3096 the transformation, thus that all uses are transformed to FMAs.
3097 This means we assume that an FMA operation has the same cost
3098 as an addition. */
3099 FOR_EACH_IMM_USE_FAST (use_p, imm_iter, mul_result)
3100 {
3101 tree result = mul_result;
3102 bool negate_p = false;
3103
3104 use_stmt = USE_STMT (use_p);
3105
3106 if (is_gimple_debug (use_stmt))
3107 continue;
3108
3109 /* For now restrict this operations to single basic blocks. In theory
3110 we would want to support sinking the multiplication in
3111 m = a*b;
3112 if ()
3113 ma = m + c;
3114 else
3115 d = m;
3116 to form a fma in the then block and sink the multiplication to the
3117 else block. */
3118 if (gimple_bb (use_stmt) != gimple_bb (mul_stmt))
3119 return false;
3120
3121 /* A negate on the multiplication leads to FNMA. */
3122 if (is_gimple_assign (use_stmt)
3123 && gimple_assign_rhs_code (use_stmt) == NEGATE_EXPR)
3124 {
3125 ssa_op_iter iter;
3126 use_operand_p usep;
3127
3128 /* If (due to earlier missed optimizations) we have two
3129 negates of the same value, treat them as equivalent
3130 to a single negate with multiple uses. */
3131 if (seen_negate_p)
3132 return false;
3133
3134 result = gimple_assign_lhs (use_stmt);
3135
3136 /* Make sure the negate statement becomes dead with this
3137 single transformation. */
3138 if (!single_imm_use (gimple_assign_lhs (use_stmt),
3139 &use_p, &neguse_stmt))
3140 return false;
3141
3142 /* Make sure the multiplication isn't also used on that stmt. */
3143 FOR_EACH_PHI_OR_STMT_USE (usep, neguse_stmt, iter, SSA_OP_USE)
3144 if (USE_FROM_PTR (usep) == mul_result)
3145 return false;
3146
3147 /* Re-validate. */
3148 use_stmt = neguse_stmt;
3149 if (gimple_bb (use_stmt) != gimple_bb (mul_stmt))
3150 return false;
3151
3152 negate_p = seen_negate_p = true;
3153 }
3154
3155 tree cond, else_value, ops[3];
3156 tree_code code;
3157 if (!can_interpret_as_conditional_op_p (use_stmt, &cond, &code, ops,
3158 &else_value))
3159 return false;
3160
3161 switch (code)
3162 {
3163 case MINUS_EXPR:
3164 if (ops[1] == result)
3165 negate_p = !negate_p;
3166 break;
3167 case PLUS_EXPR:
3168 break;
3169 default:
3170 /* FMA can only be formed from PLUS and MINUS. */
3171 return false;
3172 }
3173
3174 if (mul_cond && cond != mul_cond)
3175 return false;
3176
3177 if (cond)
3178 {
3179 if (cond == result || else_value == result)
3180 return false;
3181 if (!direct_internal_fn_supported_p (IFN_COND_FMA, type, opt_type))
3182 return false;
3183 }
3184
3185 /* If the subtrahend (OPS[1]) is computed by a MULT_EXPR that
3186 we'll visit later, we might be able to get a more profitable
3187 match with fnma.
3188 OTOH, if we don't, a negate / fma pair has likely lower latency
3189 that a mult / subtract pair. */
3190 if (code == MINUS_EXPR
3191 && !negate_p
3192 && ops[0] == result
3193 && !direct_internal_fn_supported_p (IFN_FMS, type, opt_type)
3194 && direct_internal_fn_supported_p (IFN_FNMA, type, opt_type)
3195 && TREE_CODE (ops[1]) == SSA_NAME
3196 && has_single_use (ops[1]))
3197 {
3198 gimple *stmt2 = SSA_NAME_DEF_STMT (ops[1]);
3199 if (is_gimple_assign (stmt2)
3200 && gimple_assign_rhs_code (stmt2) == MULT_EXPR)
3201 return false;
3202 }
3203
3204 /* We can't handle a * b + a * b. */
3205 if (ops[0] == ops[1])
3206 return false;
3207 /* If deferring, make sure we are not looking at an instruction that
3208 wouldn't have existed if we were not. */
3209 if (state->m_deferring_p
3210 && (state->m_mul_result_set.contains (ops[0])
3211 || state->m_mul_result_set.contains (ops[1])))
3212 return false;
3213
3214 if (check_defer)
3215 {
3216 tree use_lhs = gimple_get_lhs (use_stmt);
3217 if (state->m_last_result)
3218 {
3219 if (ops[1] == state->m_last_result
3220 || ops[0] == state->m_last_result)
3221 defer = true;
3222 else
3223 defer = false;
3224 }
3225 else
3226 {
3227 gcc_checking_assert (!state->m_initial_phi);
3228 gphi *phi;
3229 if (ops[0] == result)
3230 phi = result_of_phi (ops[1]);
3231 else
3232 {
3233 gcc_assert (ops[1] == result);
3234 phi = result_of_phi (ops[0]);
3235 }
3236
3237 if (phi)
3238 {
3239 state->m_initial_phi = phi;
3240 defer = true;
3241 }
3242 else
3243 defer = false;
3244 }
3245
3246 state->m_last_result = use_lhs;
3247 check_defer = false;
3248 }
3249 else
3250 defer = false;
3251
3252 /* While it is possible to validate whether or not the exact form that
3253 we've recognized is available in the backend, the assumption is that
3254 if the deferring logic above did not trigger, the transformation is
3255 never a loss. For instance, suppose the target only has the plain FMA
3256 pattern available. Consider a*b-c -> fma(a,b,-c): we've exchanged
3257 MUL+SUB for FMA+NEG, which is still two operations. Consider
3258 -(a*b)-c -> fma(-a,b,-c): we still have 3 operations, but in the FMA
3259 form the two NEGs are independent and could be run in parallel. */
3260 }
3261
3262 if (defer)
3263 {
3264 fma_transformation_info fti;
3265 fti.mul_stmt = mul_stmt;
3266 fti.mul_result = mul_result;
3267 fti.op1 = op1;
3268 fti.op2 = op2;
3269 state->m_candidates.safe_push (fti);
3270 state->m_mul_result_set.add (mul_result);
3271
3272 if (dump_file && (dump_flags & TDF_DETAILS))
3273 {
3274 fprintf (dump_file, "Deferred generating FMA for multiplication ");
3275 print_gimple_stmt (dump_file, mul_stmt, 0, TDF_NONE);
3276 fprintf (dump_file, "\n");
3277 }
3278
3279 return false;
3280 }
3281 else
3282 {
3283 if (state->m_deferring_p)
3284 cancel_fma_deferring (state);
3285 convert_mult_to_fma_1 (mul_result, op1, op2);
3286 return true;
3287 }
3288 }
3289
3290
3291 /* Helper function of match_uaddsub_overflow. Return 1
3292 if USE_STMT is unsigned overflow check ovf != 0 for
3293 STMT, -1 if USE_STMT is unsigned overflow check ovf == 0
3294 and 0 otherwise. */
3295
3296 static int
3297 uaddsub_overflow_check_p (gimple *stmt, gimple *use_stmt)
3298 {
3299 enum tree_code ccode = ERROR_MARK;
3300 tree crhs1 = NULL_TREE, crhs2 = NULL_TREE;
3301 if (gimple_code (use_stmt) == GIMPLE_COND)
3302 {
3303 ccode = gimple_cond_code (use_stmt);
3304 crhs1 = gimple_cond_lhs (use_stmt);
3305 crhs2 = gimple_cond_rhs (use_stmt);
3306 }
3307 else if (is_gimple_assign (use_stmt))
3308 {
3309 if (gimple_assign_rhs_class (use_stmt) == GIMPLE_BINARY_RHS)
3310 {
3311 ccode = gimple_assign_rhs_code (use_stmt);
3312 crhs1 = gimple_assign_rhs1 (use_stmt);
3313 crhs2 = gimple_assign_rhs2 (use_stmt);
3314 }
3315 else if (gimple_assign_rhs_code (use_stmt) == COND_EXPR)
3316 {
3317 tree cond = gimple_assign_rhs1 (use_stmt);
3318 if (COMPARISON_CLASS_P (cond))
3319 {
3320 ccode = TREE_CODE (cond);
3321 crhs1 = TREE_OPERAND (cond, 0);
3322 crhs2 = TREE_OPERAND (cond, 1);
3323 }
3324 else
3325 return 0;
3326 }
3327 else
3328 return 0;
3329 }
3330 else
3331 return 0;
3332
3333 if (TREE_CODE_CLASS (ccode) != tcc_comparison)
3334 return 0;
3335
3336 enum tree_code code = gimple_assign_rhs_code (stmt);
3337 tree lhs = gimple_assign_lhs (stmt);
3338 tree rhs1 = gimple_assign_rhs1 (stmt);
3339 tree rhs2 = gimple_assign_rhs2 (stmt);
3340
3341 switch (ccode)
3342 {
3343 case GT_EXPR:
3344 case LE_EXPR:
3345 /* r = a - b; r > a or r <= a
3346 r = a + b; a > r or a <= r or b > r or b <= r. */
3347 if ((code == MINUS_EXPR && crhs1 == lhs && crhs2 == rhs1)
3348 || (code == PLUS_EXPR && (crhs1 == rhs1 || crhs1 == rhs2)
3349 && crhs2 == lhs))
3350 return ccode == GT_EXPR ? 1 : -1;
3351 break;
3352 case LT_EXPR:
3353 case GE_EXPR:
3354 /* r = a - b; a < r or a >= r
3355 r = a + b; r < a or r >= a or r < b or r >= b. */
3356 if ((code == MINUS_EXPR && crhs1 == rhs1 && crhs2 == lhs)
3357 || (code == PLUS_EXPR && crhs1 == lhs
3358 && (crhs2 == rhs1 || crhs2 == rhs2)))
3359 return ccode == LT_EXPR ? 1 : -1;
3360 break;
3361 default:
3362 break;
3363 }
3364 return 0;
3365 }
3366
3367 /* Recognize for unsigned x
3368 x = y - z;
3369 if (x > y)
3370 where there are other uses of x and replace it with
3371 _7 = SUB_OVERFLOW (y, z);
3372 x = REALPART_EXPR <_7>;
3373 _8 = IMAGPART_EXPR <_7>;
3374 if (_8)
3375 and similarly for addition. */
3376
3377 static bool
3378 match_uaddsub_overflow (gimple_stmt_iterator *gsi, gimple *stmt,
3379 enum tree_code code)
3380 {
3381 tree lhs = gimple_assign_lhs (stmt);
3382 tree type = TREE_TYPE (lhs);
3383 use_operand_p use_p;
3384 imm_use_iterator iter;
3385 bool use_seen = false;
3386 bool ovf_use_seen = false;
3387 gimple *use_stmt;
3388
3389 gcc_checking_assert (code == PLUS_EXPR || code == MINUS_EXPR);
3390 if (!INTEGRAL_TYPE_P (type)
3391 || !TYPE_UNSIGNED (type)
3392 || has_zero_uses (lhs)
3393 || has_single_use (lhs)
3394 || optab_handler (code == PLUS_EXPR ? uaddv4_optab : usubv4_optab,
3395 TYPE_MODE (type)) == CODE_FOR_nothing)
3396 return false;
3397
3398 FOR_EACH_IMM_USE_FAST (use_p, iter, lhs)
3399 {
3400 use_stmt = USE_STMT (use_p);
3401 if (is_gimple_debug (use_stmt))
3402 continue;
3403
3404 if (uaddsub_overflow_check_p (stmt, use_stmt))
3405 ovf_use_seen = true;
3406 else
3407 use_seen = true;
3408 if (ovf_use_seen && use_seen)
3409 break;
3410 }
3411
3412 if (!ovf_use_seen || !use_seen)
3413 return false;
3414
3415 tree ctype = build_complex_type (type);
3416 tree rhs1 = gimple_assign_rhs1 (stmt);
3417 tree rhs2 = gimple_assign_rhs2 (stmt);
3418 gcall *g = gimple_build_call_internal (code == PLUS_EXPR
3419 ? IFN_ADD_OVERFLOW : IFN_SUB_OVERFLOW,
3420 2, rhs1, rhs2);
3421 tree ctmp = make_ssa_name (ctype);
3422 gimple_call_set_lhs (g, ctmp);
3423 gsi_insert_before (gsi, g, GSI_SAME_STMT);
3424 gassign *g2 = gimple_build_assign (lhs, REALPART_EXPR,
3425 build1 (REALPART_EXPR, type, ctmp));
3426 gsi_replace (gsi, g2, true);
3427 tree ovf = make_ssa_name (type);
3428 g2 = gimple_build_assign (ovf, IMAGPART_EXPR,
3429 build1 (IMAGPART_EXPR, type, ctmp));
3430 gsi_insert_after (gsi, g2, GSI_NEW_STMT);
3431
3432 FOR_EACH_IMM_USE_STMT (use_stmt, iter, lhs)
3433 {
3434 if (is_gimple_debug (use_stmt))
3435 continue;
3436
3437 int ovf_use = uaddsub_overflow_check_p (stmt, use_stmt);
3438 if (ovf_use == 0)
3439 continue;
3440 if (gimple_code (use_stmt) == GIMPLE_COND)
3441 {
3442 gcond *cond_stmt = as_a <gcond *> (use_stmt);
3443 gimple_cond_set_lhs (cond_stmt, ovf);
3444 gimple_cond_set_rhs (cond_stmt, build_int_cst (type, 0));
3445 gimple_cond_set_code (cond_stmt, ovf_use == 1 ? NE_EXPR : EQ_EXPR);
3446 }
3447 else
3448 {
3449 gcc_checking_assert (is_gimple_assign (use_stmt));
3450 if (gimple_assign_rhs_class (use_stmt) == GIMPLE_BINARY_RHS)
3451 {
3452 gimple_assign_set_rhs1 (use_stmt, ovf);
3453 gimple_assign_set_rhs2 (use_stmt, build_int_cst (type, 0));
3454 gimple_assign_set_rhs_code (use_stmt,
3455 ovf_use == 1 ? NE_EXPR : EQ_EXPR);
3456 }
3457 else
3458 {
3459 gcc_checking_assert (gimple_assign_rhs_code (use_stmt)
3460 == COND_EXPR);
3461 tree cond = build2 (ovf_use == 1 ? NE_EXPR : EQ_EXPR,
3462 boolean_type_node, ovf,
3463 build_int_cst (type, 0));
3464 gimple_assign_set_rhs1 (use_stmt, cond);
3465 }
3466 }
3467 update_stmt (use_stmt);
3468 }
3469 return true;
3470 }
3471
3472 /* Return true if target has support for divmod. */
3473
3474 static bool
3475 target_supports_divmod_p (optab divmod_optab, optab div_optab, machine_mode mode)
3476 {
3477 /* If target supports hardware divmod insn, use it for divmod. */
3478 if (optab_handler (divmod_optab, mode) != CODE_FOR_nothing)
3479 return true;
3480
3481 /* Check if libfunc for divmod is available. */
3482 rtx libfunc = optab_libfunc (divmod_optab, mode);
3483 if (libfunc != NULL_RTX)
3484 {
3485 /* If optab_handler exists for div_optab, perhaps in a wider mode,
3486 we don't want to use the libfunc even if it exists for given mode. */
3487 machine_mode div_mode;
3488 FOR_EACH_MODE_FROM (div_mode, mode)
3489 if (optab_handler (div_optab, div_mode) != CODE_FOR_nothing)
3490 return false;
3491
3492 return targetm.expand_divmod_libfunc != NULL;
3493 }
3494
3495 return false;
3496 }
3497
3498 /* Check if stmt is candidate for divmod transform. */
3499
3500 static bool
3501 divmod_candidate_p (gassign *stmt)
3502 {
3503 tree type = TREE_TYPE (gimple_assign_lhs (stmt));
3504 machine_mode mode = TYPE_MODE (type);
3505 optab divmod_optab, div_optab;
3506
3507 if (TYPE_UNSIGNED (type))
3508 {
3509 divmod_optab = udivmod_optab;
3510 div_optab = udiv_optab;
3511 }
3512 else
3513 {
3514 divmod_optab = sdivmod_optab;
3515 div_optab = sdiv_optab;
3516 }
3517
3518 tree op1 = gimple_assign_rhs1 (stmt);
3519 tree op2 = gimple_assign_rhs2 (stmt);
3520
3521 /* Disable the transform if either is a constant, since division-by-constant
3522 may have specialized expansion. */
3523 if (CONSTANT_CLASS_P (op1) || CONSTANT_CLASS_P (op2))
3524 return false;
3525
3526 /* Exclude the case where TYPE_OVERFLOW_TRAPS (type) as that should
3527 expand using the [su]divv optabs. */
3528 if (TYPE_OVERFLOW_TRAPS (type))
3529 return false;
3530
3531 if (!target_supports_divmod_p (divmod_optab, div_optab, mode))
3532 return false;
3533
3534 return true;
3535 }
3536
3537 /* This function looks for:
3538 t1 = a TRUNC_DIV_EXPR b;
3539 t2 = a TRUNC_MOD_EXPR b;
3540 and transforms it to the following sequence:
3541 complex_tmp = DIVMOD (a, b);
3542 t1 = REALPART_EXPR(a);
3543 t2 = IMAGPART_EXPR(b);
3544 For conditions enabling the transform see divmod_candidate_p().
3545
3546 The pass has three parts:
3547 1) Find top_stmt which is trunc_div or trunc_mod stmt and dominates all
3548 other trunc_div_expr and trunc_mod_expr stmts.
3549 2) Add top_stmt and all trunc_div and trunc_mod stmts dominated by top_stmt
3550 to stmts vector.
3551 3) Insert DIVMOD call just before top_stmt and update entries in
3552 stmts vector to use return value of DIMOVD (REALEXPR_PART for div,
3553 IMAGPART_EXPR for mod). */
3554
3555 static bool
3556 convert_to_divmod (gassign *stmt)
3557 {
3558 if (stmt_can_throw_internal (cfun, stmt)
3559 || !divmod_candidate_p (stmt))
3560 return false;
3561
3562 tree op1 = gimple_assign_rhs1 (stmt);
3563 tree op2 = gimple_assign_rhs2 (stmt);
3564
3565 imm_use_iterator use_iter;
3566 gimple *use_stmt;
3567 auto_vec<gimple *> stmts;
3568
3569 gimple *top_stmt = stmt;
3570 basic_block top_bb = gimple_bb (stmt);
3571
3572 /* Part 1: Try to set top_stmt to "topmost" stmt that dominates
3573 at-least stmt and possibly other trunc_div/trunc_mod stmts
3574 having same operands as stmt. */
3575
3576 FOR_EACH_IMM_USE_STMT (use_stmt, use_iter, op1)
3577 {
3578 if (is_gimple_assign (use_stmt)
3579 && (gimple_assign_rhs_code (use_stmt) == TRUNC_DIV_EXPR
3580 || gimple_assign_rhs_code (use_stmt) == TRUNC_MOD_EXPR)
3581 && operand_equal_p (op1, gimple_assign_rhs1 (use_stmt), 0)
3582 && operand_equal_p (op2, gimple_assign_rhs2 (use_stmt), 0))
3583 {
3584 if (stmt_can_throw_internal (cfun, use_stmt))
3585 continue;
3586
3587 basic_block bb = gimple_bb (use_stmt);
3588
3589 if (bb == top_bb)
3590 {
3591 if (gimple_uid (use_stmt) < gimple_uid (top_stmt))
3592 top_stmt = use_stmt;
3593 }
3594 else if (dominated_by_p (CDI_DOMINATORS, top_bb, bb))
3595 {
3596 top_bb = bb;
3597 top_stmt = use_stmt;
3598 }
3599 }
3600 }
3601
3602 tree top_op1 = gimple_assign_rhs1 (top_stmt);
3603 tree top_op2 = gimple_assign_rhs2 (top_stmt);
3604
3605 stmts.safe_push (top_stmt);
3606 bool div_seen = (gimple_assign_rhs_code (top_stmt) == TRUNC_DIV_EXPR);
3607
3608 /* Part 2: Add all trunc_div/trunc_mod statements domianted by top_bb
3609 to stmts vector. The 2nd loop will always add stmt to stmts vector, since
3610 gimple_bb (top_stmt) dominates gimple_bb (stmt), so the
3611 2nd loop ends up adding at-least single trunc_mod_expr stmt. */
3612
3613 FOR_EACH_IMM_USE_STMT (use_stmt, use_iter, top_op1)
3614 {
3615 if (is_gimple_assign (use_stmt)
3616 && (gimple_assign_rhs_code (use_stmt) == TRUNC_DIV_EXPR
3617 || gimple_assign_rhs_code (use_stmt) == TRUNC_MOD_EXPR)
3618 && operand_equal_p (top_op1, gimple_assign_rhs1 (use_stmt), 0)
3619 && operand_equal_p (top_op2, gimple_assign_rhs2 (use_stmt), 0))
3620 {
3621 if (use_stmt == top_stmt
3622 || stmt_can_throw_internal (cfun, use_stmt)
3623 || !dominated_by_p (CDI_DOMINATORS, gimple_bb (use_stmt), top_bb))
3624 continue;
3625
3626 stmts.safe_push (use_stmt);
3627 if (gimple_assign_rhs_code (use_stmt) == TRUNC_DIV_EXPR)
3628 div_seen = true;
3629 }
3630 }
3631
3632 if (!div_seen)
3633 return false;
3634
3635 /* Part 3: Create libcall to internal fn DIVMOD:
3636 divmod_tmp = DIVMOD (op1, op2). */
3637
3638 gcall *call_stmt = gimple_build_call_internal (IFN_DIVMOD, 2, op1, op2);
3639 tree res = make_temp_ssa_name (build_complex_type (TREE_TYPE (op1)),
3640 call_stmt, "divmod_tmp");
3641 gimple_call_set_lhs (call_stmt, res);
3642 /* We rejected throwing statements above. */
3643 gimple_call_set_nothrow (call_stmt, true);
3644
3645 /* Insert the call before top_stmt. */
3646 gimple_stmt_iterator top_stmt_gsi = gsi_for_stmt (top_stmt);
3647 gsi_insert_before (&top_stmt_gsi, call_stmt, GSI_SAME_STMT);
3648
3649 widen_mul_stats.divmod_calls_inserted++;
3650
3651 /* Update all statements in stmts vector:
3652 lhs = op1 TRUNC_DIV_EXPR op2 -> lhs = REALPART_EXPR<divmod_tmp>
3653 lhs = op1 TRUNC_MOD_EXPR op2 -> lhs = IMAGPART_EXPR<divmod_tmp>. */
3654
3655 for (unsigned i = 0; stmts.iterate (i, &use_stmt); ++i)
3656 {
3657 tree new_rhs;
3658
3659 switch (gimple_assign_rhs_code (use_stmt))
3660 {
3661 case TRUNC_DIV_EXPR:
3662 new_rhs = fold_build1 (REALPART_EXPR, TREE_TYPE (op1), res);
3663 break;
3664
3665 case TRUNC_MOD_EXPR:
3666 new_rhs = fold_build1 (IMAGPART_EXPR, TREE_TYPE (op1), res);
3667 break;
3668
3669 default:
3670 gcc_unreachable ();
3671 }
3672
3673 gimple_stmt_iterator gsi = gsi_for_stmt (use_stmt);
3674 gimple_assign_set_rhs_from_tree (&gsi, new_rhs);
3675 update_stmt (use_stmt);
3676 }
3677
3678 return true;
3679 }
3680
3681 /* Find integer multiplications where the operands are extended from
3682 smaller types, and replace the MULT_EXPR with a WIDEN_MULT_EXPR
3683 where appropriate. */
3684
3685 namespace {
3686
3687 const pass_data pass_data_optimize_widening_mul =
3688 {
3689 GIMPLE_PASS, /* type */
3690 "widening_mul", /* name */
3691 OPTGROUP_NONE, /* optinfo_flags */
3692 TV_TREE_WIDEN_MUL, /* tv_id */
3693 PROP_ssa, /* properties_required */
3694 0, /* properties_provided */
3695 0, /* properties_destroyed */
3696 0, /* todo_flags_start */
3697 TODO_update_ssa, /* todo_flags_finish */
3698 };
3699
3700 class pass_optimize_widening_mul : public gimple_opt_pass
3701 {
3702 public:
3703 pass_optimize_widening_mul (gcc::context *ctxt)
3704 : gimple_opt_pass (pass_data_optimize_widening_mul, ctxt)
3705 {}
3706
3707 /* opt_pass methods: */
3708 virtual bool gate (function *)
3709 {
3710 return flag_expensive_optimizations && optimize;
3711 }
3712
3713 virtual unsigned int execute (function *);
3714
3715 }; // class pass_optimize_widening_mul
3716
3717 /* Walker class to perform the transformation in reverse dominance order. */
3718
3719 class math_opts_dom_walker : public dom_walker
3720 {
3721 public:
3722 /* Constructor, CFG_CHANGED is a pointer to a boolean flag that will be set
3723 if walking modidifes the CFG. */
3724
3725 math_opts_dom_walker (bool *cfg_changed_p)
3726 : dom_walker (CDI_DOMINATORS), m_last_result_set (),
3727 m_cfg_changed_p (cfg_changed_p) {}
3728
3729 /* The actual actions performed in the walk. */
3730
3731 virtual void after_dom_children (basic_block);
3732
3733 /* Set of results of chains of multiply and add statement combinations that
3734 were not transformed into FMAs because of active deferring. */
3735 hash_set<tree> m_last_result_set;
3736
3737 /* Pointer to a flag of the user that needs to be set if CFG has been
3738 modified. */
3739 bool *m_cfg_changed_p;
3740 };
3741
3742 void
3743 math_opts_dom_walker::after_dom_children (basic_block bb)
3744 {
3745 gimple_stmt_iterator gsi;
3746
3747 fma_deferring_state fma_state (PARAM_VALUE (PARAM_AVOID_FMA_MAX_BITS) > 0);
3748
3749 for (gsi = gsi_after_labels (bb); !gsi_end_p (gsi);)
3750 {
3751 gimple *stmt = gsi_stmt (gsi);
3752 enum tree_code code;
3753
3754 if (is_gimple_assign (stmt))
3755 {
3756 code = gimple_assign_rhs_code (stmt);
3757 switch (code)
3758 {
3759 case MULT_EXPR:
3760 if (!convert_mult_to_widen (stmt, &gsi)
3761 && !convert_expand_mult_copysign (stmt, &gsi)
3762 && convert_mult_to_fma (stmt,
3763 gimple_assign_rhs1 (stmt),
3764 gimple_assign_rhs2 (stmt),
3765 &fma_state))
3766 {
3767 gsi_remove (&gsi, true);
3768 release_defs (stmt);
3769 continue;
3770 }
3771 break;
3772
3773 case PLUS_EXPR:
3774 case MINUS_EXPR:
3775 if (!convert_plusminus_to_widen (&gsi, stmt, code))
3776 match_uaddsub_overflow (&gsi, stmt, code);
3777 break;
3778
3779 case TRUNC_MOD_EXPR:
3780 convert_to_divmod (as_a<gassign *> (stmt));
3781 break;
3782
3783 default:;
3784 }
3785 }
3786 else if (is_gimple_call (stmt))
3787 {
3788 switch (gimple_call_combined_fn (stmt))
3789 {
3790 CASE_CFN_POW:
3791 if (gimple_call_lhs (stmt)
3792 && TREE_CODE (gimple_call_arg (stmt, 1)) == REAL_CST
3793 && real_equal (&TREE_REAL_CST (gimple_call_arg (stmt, 1)),
3794 &dconst2)
3795 && convert_mult_to_fma (stmt,
3796 gimple_call_arg (stmt, 0),
3797 gimple_call_arg (stmt, 0),
3798 &fma_state))
3799 {
3800 unlink_stmt_vdef (stmt);
3801 if (gsi_remove (&gsi, true)
3802 && gimple_purge_dead_eh_edges (bb))
3803 *m_cfg_changed_p = true;
3804 release_defs (stmt);
3805 continue;
3806 }
3807 break;
3808
3809 case CFN_COND_MUL:
3810 if (convert_mult_to_fma (stmt,
3811 gimple_call_arg (stmt, 1),
3812 gimple_call_arg (stmt, 2),
3813 &fma_state,
3814 gimple_call_arg (stmt, 0)))
3815
3816 {
3817 gsi_remove (&gsi, true);
3818 release_defs (stmt);
3819 continue;
3820 }
3821 break;
3822
3823 case CFN_LAST:
3824 cancel_fma_deferring (&fma_state);
3825 break;
3826
3827 default:
3828 break;
3829 }
3830 }
3831 gsi_next (&gsi);
3832 }
3833 if (fma_state.m_deferring_p
3834 && fma_state.m_initial_phi)
3835 {
3836 gcc_checking_assert (fma_state.m_last_result);
3837 if (!last_fma_candidate_feeds_initial_phi (&fma_state,
3838 &m_last_result_set))
3839 cancel_fma_deferring (&fma_state);
3840 else
3841 m_last_result_set.add (fma_state.m_last_result);
3842 }
3843 }
3844
3845
3846 unsigned int
3847 pass_optimize_widening_mul::execute (function *fun)
3848 {
3849 bool cfg_changed = false;
3850
3851 memset (&widen_mul_stats, 0, sizeof (widen_mul_stats));
3852 calculate_dominance_info (CDI_DOMINATORS);
3853 renumber_gimple_stmt_uids ();
3854
3855 math_opts_dom_walker (&cfg_changed).walk (ENTRY_BLOCK_PTR_FOR_FN (cfun));
3856
3857 statistics_counter_event (fun, "widening multiplications inserted",
3858 widen_mul_stats.widen_mults_inserted);
3859 statistics_counter_event (fun, "widening maccs inserted",
3860 widen_mul_stats.maccs_inserted);
3861 statistics_counter_event (fun, "fused multiply-adds inserted",
3862 widen_mul_stats.fmas_inserted);
3863 statistics_counter_event (fun, "divmod calls inserted",
3864 widen_mul_stats.divmod_calls_inserted);
3865
3866 return cfg_changed ? TODO_cleanup_cfg : 0;
3867 }
3868
3869 } // anon namespace
3870
3871 gimple_opt_pass *
3872 make_pass_optimize_widening_mul (gcc::context *ctxt)
3873 {
3874 return new pass_optimize_widening_mul (ctxt);
3875 }