cond.md (stzx_16): Use register_operand for operand 0.
[gcc.git] / gcc / df-core.c
1 /* Allocation for dataflow support routines.
2 Copyright (C) 1999-2013 Free Software Foundation, Inc.
3 Originally contributed by Michael P. Hayes
4 (m.hayes@elec.canterbury.ac.nz, mhayes@redhat.com)
5 Major rewrite contributed by Danny Berlin (dberlin@dberlin.org)
6 and Kenneth Zadeck (zadeck@naturalbridge.com).
7
8 This file is part of GCC.
9
10 GCC is free software; you can redistribute it and/or modify it under
11 the terms of the GNU General Public License as published by the Free
12 Software Foundation; either version 3, or (at your option) any later
13 version.
14
15 GCC is distributed in the hope that it will be useful, but WITHOUT ANY
16 WARRANTY; without even the implied warranty of MERCHANTABILITY or
17 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
18 for more details.
19
20 You should have received a copy of the GNU General Public License
21 along with GCC; see the file COPYING3. If not see
22 <http://www.gnu.org/licenses/>. */
23
24 /*
25 OVERVIEW:
26
27 The files in this collection (df*.c,df.h) provide a general framework
28 for solving dataflow problems. The global dataflow is performed using
29 a good implementation of iterative dataflow analysis.
30
31 The file df-problems.c provides problem instance for the most common
32 dataflow problems: reaching defs, upward exposed uses, live variables,
33 uninitialized variables, def-use chains, and use-def chains. However,
34 the interface allows other dataflow problems to be defined as well.
35
36 Dataflow analysis is available in most of the rtl backend (the parts
37 between pass_df_initialize and pass_df_finish). It is quite likely
38 that these boundaries will be expanded in the future. The only
39 requirement is that there be a correct control flow graph.
40
41 There are three variations of the live variable problem that are
42 available whenever dataflow is available. The LR problem finds the
43 areas that can reach a use of a variable, the UR problems finds the
44 areas that can be reached from a definition of a variable. The LIVE
45 problem finds the intersection of these two areas.
46
47 There are several optional problems. These can be enabled when they
48 are needed and disabled when they are not needed.
49
50 Dataflow problems are generally solved in three layers. The bottom
51 layer is called scanning where a data structure is built for each rtl
52 insn that describes the set of defs and uses of that insn. Scanning
53 is generally kept up to date, i.e. as the insns changes, the scanned
54 version of that insn changes also. There are various mechanisms for
55 making this happen and are described in the INCREMENTAL SCANNING
56 section.
57
58 In the middle layer, basic blocks are scanned to produce transfer
59 functions which describe the effects of that block on the global
60 dataflow solution. The transfer functions are only rebuilt if the
61 some instruction within the block has changed.
62
63 The top layer is the dataflow solution itself. The dataflow solution
64 is computed by using an efficient iterative solver and the transfer
65 functions. The dataflow solution must be recomputed whenever the
66 control changes or if one of the transfer function changes.
67
68
69 USAGE:
70
71 Here is an example of using the dataflow routines.
72
73 df_[chain,live,note,rd]_add_problem (flags);
74
75 df_set_blocks (blocks);
76
77 df_analyze ();
78
79 df_dump (stderr);
80
81 df_finish_pass (false);
82
83 DF_[chain,live,note,rd]_ADD_PROBLEM adds a problem, defined by an
84 instance to struct df_problem, to the set of problems solved in this
85 instance of df. All calls to add a problem for a given instance of df
86 must occur before the first call to DF_ANALYZE.
87
88 Problems can be dependent on other problems. For instance, solving
89 def-use or use-def chains is dependent on solving reaching
90 definitions. As long as these dependencies are listed in the problem
91 definition, the order of adding the problems is not material.
92 Otherwise, the problems will be solved in the order of calls to
93 df_add_problem. Note that it is not necessary to have a problem. In
94 that case, df will just be used to do the scanning.
95
96
97
98 DF_SET_BLOCKS is an optional call used to define a region of the
99 function on which the analysis will be performed. The normal case is
100 to analyze the entire function and no call to df_set_blocks is made.
101 DF_SET_BLOCKS only effects the blocks that are effected when computing
102 the transfer functions and final solution. The insn level information
103 is always kept up to date.
104
105 When a subset is given, the analysis behaves as if the function only
106 contains those blocks and any edges that occur directly between the
107 blocks in the set. Care should be taken to call df_set_blocks right
108 before the call to analyze in order to eliminate the possibility that
109 optimizations that reorder blocks invalidate the bitvector.
110
111 DF_ANALYZE causes all of the defined problems to be (re)solved. When
112 DF_ANALYZE is completes, the IN and OUT sets for each basic block
113 contain the computer information. The DF_*_BB_INFO macros can be used
114 to access these bitvectors. All deferred rescannings are down before
115 the transfer functions are recomputed.
116
117 DF_DUMP can then be called to dump the information produce to some
118 file. This calls DF_DUMP_START, to print the information that is not
119 basic block specific, and then calls DF_DUMP_TOP and DF_DUMP_BOTTOM
120 for each block to print the basic specific information. These parts
121 can all be called separately as part of a larger dump function.
122
123
124 DF_FINISH_PASS causes df_remove_problem to be called on all of the
125 optional problems. It also causes any insns whose scanning has been
126 deferred to be rescanned as well as clears all of the changeable flags.
127 Setting the pass manager TODO_df_finish flag causes this function to
128 be run. However, the pass manager will call df_finish_pass AFTER the
129 pass dumping has been done, so if you want to see the results of the
130 optional problems in the pass dumps, use the TODO flag rather than
131 calling the function yourself.
132
133 INCREMENTAL SCANNING
134
135 There are four ways of doing the incremental scanning:
136
137 1) Immediate rescanning - Calls to df_insn_rescan, df_notes_rescan,
138 df_bb_delete, df_insn_change_bb have been added to most of
139 the low level service functions that maintain the cfg and change
140 rtl. Calling and of these routines many cause some number of insns
141 to be rescanned.
142
143 For most modern rtl passes, this is certainly the easiest way to
144 manage rescanning the insns. This technique also has the advantage
145 that the scanning information is always correct and can be relied
146 upon even after changes have been made to the instructions. This
147 technique is contra indicated in several cases:
148
149 a) If def-use chains OR use-def chains (but not both) are built,
150 using this is SIMPLY WRONG. The problem is that when a ref is
151 deleted that is the target of an edge, there is not enough
152 information to efficiently find the source of the edge and
153 delete the edge. This leaves a dangling reference that may
154 cause problems.
155
156 b) If def-use chains AND use-def chains are built, this may
157 produce unexpected results. The problem is that the incremental
158 scanning of an insn does not know how to repair the chains that
159 point into an insn when the insn changes. So the incremental
160 scanning just deletes the chains that enter and exit the insn
161 being changed. The dangling reference issue in (a) is not a
162 problem here, but if the pass is depending on the chains being
163 maintained after insns have been modified, this technique will
164 not do the correct thing.
165
166 c) If the pass modifies insns several times, this incremental
167 updating may be expensive.
168
169 d) If the pass modifies all of the insns, as does register
170 allocation, it is simply better to rescan the entire function.
171
172 2) Deferred rescanning - Calls to df_insn_rescan, df_notes_rescan, and
173 df_insn_delete do not immediately change the insn but instead make
174 a note that the insn needs to be rescanned. The next call to
175 df_analyze, df_finish_pass, or df_process_deferred_rescans will
176 cause all of the pending rescans to be processed.
177
178 This is the technique of choice if either 1a, 1b, or 1c are issues
179 in the pass. In the case of 1a or 1b, a call to df_finish_pass
180 (either manually or via TODO_df_finish) should be made before the
181 next call to df_analyze or df_process_deferred_rescans.
182
183 This mode is also used by a few passes that still rely on note_uses,
184 note_stores and for_each_rtx instead of using the DF data. This
185 can be said to fall under case 1c.
186
187 To enable this mode, call df_set_flags (DF_DEFER_INSN_RESCAN).
188 (This mode can be cleared by calling df_clear_flags
189 (DF_DEFER_INSN_RESCAN) but this does not cause the deferred insns to
190 be rescanned.
191
192 3) Total rescanning - In this mode the rescanning is disabled.
193 Only when insns are deleted is the df information associated with
194 it also deleted. At the end of the pass, a call must be made to
195 df_insn_rescan_all. This method is used by the register allocator
196 since it generally changes each insn multiple times (once for each ref)
197 and does not need to make use of the updated scanning information.
198
199 4) Do it yourself - In this mechanism, the pass updates the insns
200 itself using the low level df primitives. Currently no pass does
201 this, but it has the advantage that it is quite efficient given
202 that the pass generally has exact knowledge of what it is changing.
203
204 DATA STRUCTURES
205
206 Scanning produces a `struct df_ref' data structure (ref) is allocated
207 for every register reference (def or use) and this records the insn
208 and bb the ref is found within. The refs are linked together in
209 chains of uses and defs for each insn and for each register. Each ref
210 also has a chain field that links all the use refs for a def or all
211 the def refs for a use. This is used to create use-def or def-use
212 chains.
213
214 Different optimizations have different needs. Ultimately, only
215 register allocation and schedulers should be using the bitmaps
216 produced for the live register and uninitialized register problems.
217 The rest of the backend should be upgraded to using and maintaining
218 the linked information such as def use or use def chains.
219
220
221 PHILOSOPHY:
222
223 While incremental bitmaps are not worthwhile to maintain, incremental
224 chains may be perfectly reasonable. The fastest way to build chains
225 from scratch or after significant modifications is to build reaching
226 definitions (RD) and build the chains from this.
227
228 However, general algorithms for maintaining use-def or def-use chains
229 are not practical. The amount of work to recompute the chain any
230 chain after an arbitrary change is large. However, with a modest
231 amount of work it is generally possible to have the application that
232 uses the chains keep them up to date. The high level knowledge of
233 what is really happening is essential to crafting efficient
234 incremental algorithms.
235
236 As for the bit vector problems, there is no interface to give a set of
237 blocks over with to resolve the iteration. In general, restarting a
238 dataflow iteration is difficult and expensive. Again, the best way to
239 keep the dataflow information up to data (if this is really what is
240 needed) it to formulate a problem specific solution.
241
242 There are fine grained calls for creating and deleting references from
243 instructions in df-scan.c. However, these are not currently connected
244 to the engine that resolves the dataflow equations.
245
246
247 DATA STRUCTURES:
248
249 The basic object is a DF_REF (reference) and this may either be a
250 DEF (definition) or a USE of a register.
251
252 These are linked into a variety of lists; namely reg-def, reg-use,
253 insn-def, insn-use, def-use, and use-def lists. For example, the
254 reg-def lists contain all the locations that define a given register
255 while the insn-use lists contain all the locations that use a
256 register.
257
258 Note that the reg-def and reg-use chains are generally short for
259 pseudos and long for the hard registers.
260
261 ACCESSING INSNS:
262
263 1) The df insn information is kept in an array of DF_INSN_INFO objects.
264 The array is indexed by insn uid, and every DF_REF points to the
265 DF_INSN_INFO object of the insn that contains the reference.
266
267 2) Each insn has three sets of refs, which are linked into one of three
268 lists: The insn's defs list (accessed by the DF_INSN_INFO_DEFS,
269 DF_INSN_DEFS, or DF_INSN_UID_DEFS macros), the insn's uses list
270 (accessed by the DF_INSN_INFO_USES, DF_INSN_USES, or
271 DF_INSN_UID_USES macros) or the insn's eq_uses list (accessed by the
272 DF_INSN_INFO_EQ_USES, DF_INSN_EQ_USES or DF_INSN_UID_EQ_USES macros).
273 The latter list are the list of references in REG_EQUAL or REG_EQUIV
274 notes. These macros produce a ref (or NULL), the rest of the list
275 can be obtained by traversal of the NEXT_REF field (accessed by the
276 DF_REF_NEXT_REF macro.) There is no significance to the ordering of
277 the uses or refs in an instruction.
278
279 3) Each insn has a logical uid field (LUID) which is stored in the
280 DF_INSN_INFO object for the insn. The LUID field is accessed by
281 the DF_INSN_INFO_LUID, DF_INSN_LUID, and DF_INSN_UID_LUID macros.
282 When properly set, the LUID is an integer that numbers each insn in
283 the basic block, in order from the start of the block.
284 The numbers are only correct after a call to df_analyze. They will
285 rot after insns are added deleted or moved round.
286
287 ACCESSING REFS:
288
289 There are 4 ways to obtain access to refs:
290
291 1) References are divided into two categories, REAL and ARTIFICIAL.
292
293 REAL refs are associated with instructions.
294
295 ARTIFICIAL refs are associated with basic blocks. The heads of
296 these lists can be accessed by calling df_get_artificial_defs or
297 df_get_artificial_uses for the particular basic block.
298
299 Artificial defs and uses occur both at the beginning and ends of blocks.
300
301 For blocks that area at the destination of eh edges, the
302 artificial uses and defs occur at the beginning. The defs relate
303 to the registers specified in EH_RETURN_DATA_REGNO and the uses
304 relate to the registers specified in ED_USES. Logically these
305 defs and uses should really occur along the eh edge, but there is
306 no convenient way to do this. Artificial edges that occur at the
307 beginning of the block have the DF_REF_AT_TOP flag set.
308
309 Artificial uses occur at the end of all blocks. These arise from
310 the hard registers that are always live, such as the stack
311 register and are put there to keep the code from forgetting about
312 them.
313
314 Artificial defs occur at the end of the entry block. These arise
315 from registers that are live at entry to the function.
316
317 2) There are three types of refs: defs, uses and eq_uses. (Eq_uses are
318 uses that appear inside a REG_EQUAL or REG_EQUIV note.)
319
320 All of the eq_uses, uses and defs associated with each pseudo or
321 hard register may be linked in a bidirectional chain. These are
322 called reg-use or reg_def chains. If the changeable flag
323 DF_EQ_NOTES is set when the chains are built, the eq_uses will be
324 treated like uses. If it is not set they are ignored.
325
326 The first use, eq_use or def for a register can be obtained using
327 the DF_REG_USE_CHAIN, DF_REG_EQ_USE_CHAIN or DF_REG_DEF_CHAIN
328 macros. Subsequent uses for the same regno can be obtained by
329 following the next_reg field of the ref. The number of elements in
330 each of the chains can be found by using the DF_REG_USE_COUNT,
331 DF_REG_EQ_USE_COUNT or DF_REG_DEF_COUNT macros.
332
333 In previous versions of this code, these chains were ordered. It
334 has not been practical to continue this practice.
335
336 3) If def-use or use-def chains are built, these can be traversed to
337 get to other refs. If the flag DF_EQ_NOTES has been set, the chains
338 include the eq_uses. Otherwise these are ignored when building the
339 chains.
340
341 4) An array of all of the uses (and an array of all of the defs) can
342 be built. These arrays are indexed by the value in the id
343 structure. These arrays are only lazily kept up to date, and that
344 process can be expensive. To have these arrays built, call
345 df_reorganize_defs or df_reorganize_uses. If the flag DF_EQ_NOTES
346 has been set the array will contain the eq_uses. Otherwise these
347 are ignored when building the array and assigning the ids. Note
348 that the values in the id field of a ref may change across calls to
349 df_analyze or df_reorganize_defs or df_reorganize_uses.
350
351 If the only use of this array is to find all of the refs, it is
352 better to traverse all of the registers and then traverse all of
353 reg-use or reg-def chains.
354
355 NOTES:
356
357 Embedded addressing side-effects, such as POST_INC or PRE_INC, generate
358 both a use and a def. These are both marked read/write to show that they
359 are dependent. For example, (set (reg 40) (mem (post_inc (reg 42))))
360 will generate a use of reg 42 followed by a def of reg 42 (both marked
361 read/write). Similarly, (set (reg 40) (mem (pre_dec (reg 41))))
362 generates a use of reg 41 then a def of reg 41 (both marked read/write),
363 even though reg 41 is decremented before it is used for the memory
364 address in this second example.
365
366 A set to a REG inside a ZERO_EXTRACT, or a set to a non-paradoxical SUBREG
367 for which the number of word_mode units covered by the outer mode is
368 smaller than that covered by the inner mode, invokes a read-modify-write
369 operation. We generate both a use and a def and again mark them
370 read/write.
371
372 Paradoxical subreg writes do not leave a trace of the old content, so they
373 are write-only operations.
374 */
375
376
377 #include "config.h"
378 #include "system.h"
379 #include "coretypes.h"
380 #include "tm.h"
381 #include "rtl.h"
382 #include "tm_p.h"
383 #include "insn-config.h"
384 #include "recog.h"
385 #include "function.h"
386 #include "regs.h"
387 #include "alloc-pool.h"
388 #include "flags.h"
389 #include "hard-reg-set.h"
390 #include "basic-block.h"
391 #include "sbitmap.h"
392 #include "bitmap.h"
393 #include "df.h"
394 #include "tree-pass.h"
395 #include "params.h"
396
397 static void *df_get_bb_info (struct dataflow *, unsigned int);
398 static void df_set_bb_info (struct dataflow *, unsigned int, void *);
399 static void df_clear_bb_info (struct dataflow *, unsigned int);
400 #ifdef DF_DEBUG_CFG
401 static void df_set_clean_cfg (void);
402 #endif
403
404 /* The obstack on which regsets are allocated. */
405 struct bitmap_obstack reg_obstack;
406
407 /* An obstack for bitmap not related to specific dataflow problems.
408 This obstack should e.g. be used for bitmaps with a short life time
409 such as temporary bitmaps. */
410
411 bitmap_obstack df_bitmap_obstack;
412
413
414 /*----------------------------------------------------------------------------
415 Functions to create, destroy and manipulate an instance of df.
416 ----------------------------------------------------------------------------*/
417
418 struct df_d *df;
419
420 /* Add PROBLEM (and any dependent problems) to the DF instance. */
421
422 void
423 df_add_problem (struct df_problem *problem)
424 {
425 struct dataflow *dflow;
426 int i;
427
428 /* First try to add the dependent problem. */
429 if (problem->dependent_problem)
430 df_add_problem (problem->dependent_problem);
431
432 /* Check to see if this problem has already been defined. If it
433 has, just return that instance, if not, add it to the end of the
434 vector. */
435 dflow = df->problems_by_index[problem->id];
436 if (dflow)
437 return;
438
439 /* Make a new one and add it to the end. */
440 dflow = XCNEW (struct dataflow);
441 dflow->problem = problem;
442 dflow->computed = false;
443 dflow->solutions_dirty = true;
444 df->problems_by_index[dflow->problem->id] = dflow;
445
446 /* Keep the defined problems ordered by index. This solves the
447 problem that RI will use the information from UREC if UREC has
448 been defined, or from LIVE if LIVE is defined and otherwise LR.
449 However for this to work, the computation of RI must be pushed
450 after which ever of those problems is defined, but we do not
451 require any of those except for LR to have actually been
452 defined. */
453 df->num_problems_defined++;
454 for (i = df->num_problems_defined - 2; i >= 0; i--)
455 {
456 if (problem->id < df->problems_in_order[i]->problem->id)
457 df->problems_in_order[i+1] = df->problems_in_order[i];
458 else
459 {
460 df->problems_in_order[i+1] = dflow;
461 return;
462 }
463 }
464 df->problems_in_order[0] = dflow;
465 }
466
467
468 /* Set the MASK flags in the DFLOW problem. The old flags are
469 returned. If a flag is not allowed to be changed this will fail if
470 checking is enabled. */
471 int
472 df_set_flags (int changeable_flags)
473 {
474 int old_flags = df->changeable_flags;
475 df->changeable_flags |= changeable_flags;
476 return old_flags;
477 }
478
479
480 /* Clear the MASK flags in the DFLOW problem. The old flags are
481 returned. If a flag is not allowed to be changed this will fail if
482 checking is enabled. */
483 int
484 df_clear_flags (int changeable_flags)
485 {
486 int old_flags = df->changeable_flags;
487 df->changeable_flags &= ~changeable_flags;
488 return old_flags;
489 }
490
491
492 /* Set the blocks that are to be considered for analysis. If this is
493 not called or is called with null, the entire function in
494 analyzed. */
495
496 void
497 df_set_blocks (bitmap blocks)
498 {
499 if (blocks)
500 {
501 if (dump_file)
502 bitmap_print (dump_file, blocks, "setting blocks to analyze ", "\n");
503 if (df->blocks_to_analyze)
504 {
505 /* This block is called to change the focus from one subset
506 to another. */
507 int p;
508 bitmap_head diff;
509 bitmap_initialize (&diff, &df_bitmap_obstack);
510 bitmap_and_compl (&diff, df->blocks_to_analyze, blocks);
511 for (p = 0; p < df->num_problems_defined; p++)
512 {
513 struct dataflow *dflow = df->problems_in_order[p];
514 if (dflow->optional_p && dflow->problem->reset_fun)
515 dflow->problem->reset_fun (df->blocks_to_analyze);
516 else if (dflow->problem->free_blocks_on_set_blocks)
517 {
518 bitmap_iterator bi;
519 unsigned int bb_index;
520
521 EXECUTE_IF_SET_IN_BITMAP (&diff, 0, bb_index, bi)
522 {
523 basic_block bb = BASIC_BLOCK (bb_index);
524 if (bb)
525 {
526 void *bb_info = df_get_bb_info (dflow, bb_index);
527 dflow->problem->free_bb_fun (bb, bb_info);
528 df_clear_bb_info (dflow, bb_index);
529 }
530 }
531 }
532 }
533
534 bitmap_clear (&diff);
535 }
536 else
537 {
538 /* This block of code is executed to change the focus from
539 the entire function to a subset. */
540 bitmap_head blocks_to_reset;
541 bool initialized = false;
542 int p;
543 for (p = 0; p < df->num_problems_defined; p++)
544 {
545 struct dataflow *dflow = df->problems_in_order[p];
546 if (dflow->optional_p && dflow->problem->reset_fun)
547 {
548 if (!initialized)
549 {
550 basic_block bb;
551 bitmap_initialize (&blocks_to_reset, &df_bitmap_obstack);
552 FOR_ALL_BB (bb)
553 {
554 bitmap_set_bit (&blocks_to_reset, bb->index);
555 }
556 }
557 dflow->problem->reset_fun (&blocks_to_reset);
558 }
559 }
560 if (initialized)
561 bitmap_clear (&blocks_to_reset);
562
563 df->blocks_to_analyze = BITMAP_ALLOC (&df_bitmap_obstack);
564 }
565 bitmap_copy (df->blocks_to_analyze, blocks);
566 df->analyze_subset = true;
567 }
568 else
569 {
570 /* This block is executed to reset the focus to the entire
571 function. */
572 if (dump_file)
573 fprintf (dump_file, "clearing blocks_to_analyze\n");
574 if (df->blocks_to_analyze)
575 {
576 BITMAP_FREE (df->blocks_to_analyze);
577 df->blocks_to_analyze = NULL;
578 }
579 df->analyze_subset = false;
580 }
581
582 /* Setting the blocks causes the refs to be unorganized since only
583 the refs in the blocks are seen. */
584 df_maybe_reorganize_def_refs (DF_REF_ORDER_NO_TABLE);
585 df_maybe_reorganize_use_refs (DF_REF_ORDER_NO_TABLE);
586 df_mark_solutions_dirty ();
587 }
588
589
590 /* Delete a DFLOW problem (and any problems that depend on this
591 problem). */
592
593 void
594 df_remove_problem (struct dataflow *dflow)
595 {
596 struct df_problem *problem;
597 int i;
598
599 if (!dflow)
600 return;
601
602 problem = dflow->problem;
603 gcc_assert (problem->remove_problem_fun);
604
605 /* Delete any problems that depended on this problem first. */
606 for (i = 0; i < df->num_problems_defined; i++)
607 if (df->problems_in_order[i]->problem->dependent_problem == problem)
608 df_remove_problem (df->problems_in_order[i]);
609
610 /* Now remove this problem. */
611 for (i = 0; i < df->num_problems_defined; i++)
612 if (df->problems_in_order[i] == dflow)
613 {
614 int j;
615 for (j = i + 1; j < df->num_problems_defined; j++)
616 df->problems_in_order[j-1] = df->problems_in_order[j];
617 df->problems_in_order[j-1] = NULL;
618 df->num_problems_defined--;
619 break;
620 }
621
622 (problem->remove_problem_fun) ();
623 df->problems_by_index[problem->id] = NULL;
624 }
625
626
627 /* Remove all of the problems that are not permanent. Scanning, LR
628 and (at -O2 or higher) LIVE are permanent, the rest are removable.
629 Also clear all of the changeable_flags. */
630
631 void
632 df_finish_pass (bool verify ATTRIBUTE_UNUSED)
633 {
634 int i;
635 int removed = 0;
636
637 #ifdef ENABLE_DF_CHECKING
638 int saved_flags;
639 #endif
640
641 if (!df)
642 return;
643
644 df_maybe_reorganize_def_refs (DF_REF_ORDER_NO_TABLE);
645 df_maybe_reorganize_use_refs (DF_REF_ORDER_NO_TABLE);
646
647 #ifdef ENABLE_DF_CHECKING
648 saved_flags = df->changeable_flags;
649 #endif
650
651 for (i = 0; i < df->num_problems_defined; i++)
652 {
653 struct dataflow *dflow = df->problems_in_order[i];
654 struct df_problem *problem = dflow->problem;
655
656 if (dflow->optional_p)
657 {
658 gcc_assert (problem->remove_problem_fun);
659 (problem->remove_problem_fun) ();
660 df->problems_in_order[i] = NULL;
661 df->problems_by_index[problem->id] = NULL;
662 removed++;
663 }
664 }
665 df->num_problems_defined -= removed;
666
667 /* Clear all of the flags. */
668 df->changeable_flags = 0;
669 df_process_deferred_rescans ();
670
671 /* Set the focus back to the whole function. */
672 if (df->blocks_to_analyze)
673 {
674 BITMAP_FREE (df->blocks_to_analyze);
675 df->blocks_to_analyze = NULL;
676 df_mark_solutions_dirty ();
677 df->analyze_subset = false;
678 }
679
680 #ifdef ENABLE_DF_CHECKING
681 /* Verification will fail in DF_NO_INSN_RESCAN. */
682 if (!(saved_flags & DF_NO_INSN_RESCAN))
683 {
684 df_lr_verify_transfer_functions ();
685 if (df_live)
686 df_live_verify_transfer_functions ();
687 }
688
689 #ifdef DF_DEBUG_CFG
690 df_set_clean_cfg ();
691 #endif
692 #endif
693
694 #ifdef ENABLE_CHECKING
695 if (verify)
696 df->changeable_flags |= DF_VERIFY_SCHEDULED;
697 #endif
698 }
699
700
701 /* Set up the dataflow instance for the entire back end. */
702
703 static unsigned int
704 rest_of_handle_df_initialize (void)
705 {
706 gcc_assert (!df);
707 df = XCNEW (struct df_d);
708 df->changeable_flags = 0;
709
710 bitmap_obstack_initialize (&df_bitmap_obstack);
711
712 /* Set this to a conservative value. Stack_ptr_mod will compute it
713 correctly later. */
714 crtl->sp_is_unchanging = 0;
715
716 df_scan_add_problem ();
717 df_scan_alloc (NULL);
718
719 /* These three problems are permanent. */
720 df_lr_add_problem ();
721 if (optimize > 1)
722 df_live_add_problem ();
723
724 df->postorder = XNEWVEC (int, last_basic_block);
725 df->postorder_inverted = XNEWVEC (int, last_basic_block);
726 df->n_blocks = post_order_compute (df->postorder, true, true);
727 df->n_blocks_inverted = inverted_post_order_compute (df->postorder_inverted);
728 gcc_assert (df->n_blocks == df->n_blocks_inverted);
729
730 df->hard_regs_live_count = XCNEWVEC (unsigned int, FIRST_PSEUDO_REGISTER);
731
732 df_hard_reg_init ();
733 /* After reload, some ports add certain bits to regs_ever_live so
734 this cannot be reset. */
735 df_compute_regs_ever_live (true);
736 df_scan_blocks ();
737 df_compute_regs_ever_live (false);
738 return 0;
739 }
740
741
742 static bool
743 gate_opt (void)
744 {
745 return optimize > 0;
746 }
747
748
749 namespace {
750
751 const pass_data pass_data_df_initialize_opt =
752 {
753 RTL_PASS, /* type */
754 "dfinit", /* name */
755 OPTGROUP_NONE, /* optinfo_flags */
756 true, /* has_gate */
757 true, /* has_execute */
758 TV_DF_SCAN, /* tv_id */
759 0, /* properties_required */
760 0, /* properties_provided */
761 0, /* properties_destroyed */
762 0, /* todo_flags_start */
763 0, /* todo_flags_finish */
764 };
765
766 class pass_df_initialize_opt : public rtl_opt_pass
767 {
768 public:
769 pass_df_initialize_opt (gcc::context *ctxt)
770 : rtl_opt_pass (pass_data_df_initialize_opt, ctxt)
771 {}
772
773 /* opt_pass methods: */
774 bool gate () { return gate_opt (); }
775 unsigned int execute () { return rest_of_handle_df_initialize (); }
776
777 }; // class pass_df_initialize_opt
778
779 } // anon namespace
780
781 rtl_opt_pass *
782 make_pass_df_initialize_opt (gcc::context *ctxt)
783 {
784 return new pass_df_initialize_opt (ctxt);
785 }
786
787
788 static bool
789 gate_no_opt (void)
790 {
791 return optimize == 0;
792 }
793
794
795 namespace {
796
797 const pass_data pass_data_df_initialize_no_opt =
798 {
799 RTL_PASS, /* type */
800 "no-opt dfinit", /* name */
801 OPTGROUP_NONE, /* optinfo_flags */
802 true, /* has_gate */
803 true, /* has_execute */
804 TV_DF_SCAN, /* tv_id */
805 0, /* properties_required */
806 0, /* properties_provided */
807 0, /* properties_destroyed */
808 0, /* todo_flags_start */
809 0, /* todo_flags_finish */
810 };
811
812 class pass_df_initialize_no_opt : public rtl_opt_pass
813 {
814 public:
815 pass_df_initialize_no_opt (gcc::context *ctxt)
816 : rtl_opt_pass (pass_data_df_initialize_no_opt, ctxt)
817 {}
818
819 /* opt_pass methods: */
820 bool gate () { return gate_no_opt (); }
821 unsigned int execute () { return rest_of_handle_df_initialize (); }
822
823 }; // class pass_df_initialize_no_opt
824
825 } // anon namespace
826
827 rtl_opt_pass *
828 make_pass_df_initialize_no_opt (gcc::context *ctxt)
829 {
830 return new pass_df_initialize_no_opt (ctxt);
831 }
832
833
834 /* Free all the dataflow info and the DF structure. This should be
835 called from the df_finish macro which also NULLs the parm. */
836
837 static unsigned int
838 rest_of_handle_df_finish (void)
839 {
840 int i;
841
842 gcc_assert (df);
843
844 for (i = 0; i < df->num_problems_defined; i++)
845 {
846 struct dataflow *dflow = df->problems_in_order[i];
847 dflow->problem->free_fun ();
848 }
849
850 free (df->postorder);
851 free (df->postorder_inverted);
852 free (df->hard_regs_live_count);
853 free (df);
854 df = NULL;
855
856 bitmap_obstack_release (&df_bitmap_obstack);
857 return 0;
858 }
859
860
861 namespace {
862
863 const pass_data pass_data_df_finish =
864 {
865 RTL_PASS, /* type */
866 "dfinish", /* name */
867 OPTGROUP_NONE, /* optinfo_flags */
868 false, /* has_gate */
869 true, /* has_execute */
870 TV_NONE, /* tv_id */
871 0, /* properties_required */
872 0, /* properties_provided */
873 0, /* properties_destroyed */
874 0, /* todo_flags_start */
875 0, /* todo_flags_finish */
876 };
877
878 class pass_df_finish : public rtl_opt_pass
879 {
880 public:
881 pass_df_finish (gcc::context *ctxt)
882 : rtl_opt_pass (pass_data_df_finish, ctxt)
883 {}
884
885 /* opt_pass methods: */
886 unsigned int execute () { return rest_of_handle_df_finish (); }
887
888 }; // class pass_df_finish
889
890 } // anon namespace
891
892 rtl_opt_pass *
893 make_pass_df_finish (gcc::context *ctxt)
894 {
895 return new pass_df_finish (ctxt);
896 }
897
898
899
900
901 \f
902 /*----------------------------------------------------------------------------
903 The general data flow analysis engine.
904 ----------------------------------------------------------------------------*/
905
906 /* Return time BB when it was visited for last time. */
907 #define BB_LAST_CHANGE_AGE(bb) ((ptrdiff_t)(bb)->aux)
908
909 /* Helper function for df_worklist_dataflow.
910 Propagate the dataflow forward.
911 Given a BB_INDEX, do the dataflow propagation
912 and set bits on for successors in PENDING
913 if the out set of the dataflow has changed.
914
915 AGE specify time when BB was visited last time.
916 AGE of 0 means we are visiting for first time and need to
917 compute transfer function to initialize datastructures.
918 Otherwise we re-do transfer function only if something change
919 while computing confluence functions.
920 We need to compute confluence only of basic block that are younger
921 then last visit of the BB.
922
923 Return true if BB info has changed. This is always the case
924 in the first visit. */
925
926 static bool
927 df_worklist_propagate_forward (struct dataflow *dataflow,
928 unsigned bb_index,
929 unsigned *bbindex_to_postorder,
930 bitmap pending,
931 sbitmap considered,
932 ptrdiff_t age)
933 {
934 edge e;
935 edge_iterator ei;
936 basic_block bb = BASIC_BLOCK (bb_index);
937 bool changed = !age;
938
939 /* Calculate <conf_op> of incoming edges. */
940 if (EDGE_COUNT (bb->preds) > 0)
941 FOR_EACH_EDGE (e, ei, bb->preds)
942 {
943 if (age <= BB_LAST_CHANGE_AGE (e->src)
944 && bitmap_bit_p (considered, e->src->index))
945 changed |= dataflow->problem->con_fun_n (e);
946 }
947 else if (dataflow->problem->con_fun_0)
948 dataflow->problem->con_fun_0 (bb);
949
950 if (changed
951 && dataflow->problem->trans_fun (bb_index))
952 {
953 /* The out set of this block has changed.
954 Propagate to the outgoing blocks. */
955 FOR_EACH_EDGE (e, ei, bb->succs)
956 {
957 unsigned ob_index = e->dest->index;
958
959 if (bitmap_bit_p (considered, ob_index))
960 bitmap_set_bit (pending, bbindex_to_postorder[ob_index]);
961 }
962 return true;
963 }
964 return false;
965 }
966
967
968 /* Helper function for df_worklist_dataflow.
969 Propagate the dataflow backward. */
970
971 static bool
972 df_worklist_propagate_backward (struct dataflow *dataflow,
973 unsigned bb_index,
974 unsigned *bbindex_to_postorder,
975 bitmap pending,
976 sbitmap considered,
977 ptrdiff_t age)
978 {
979 edge e;
980 edge_iterator ei;
981 basic_block bb = BASIC_BLOCK (bb_index);
982 bool changed = !age;
983
984 /* Calculate <conf_op> of incoming edges. */
985 if (EDGE_COUNT (bb->succs) > 0)
986 FOR_EACH_EDGE (e, ei, bb->succs)
987 {
988 if (age <= BB_LAST_CHANGE_AGE (e->dest)
989 && bitmap_bit_p (considered, e->dest->index))
990 changed |= dataflow->problem->con_fun_n (e);
991 }
992 else if (dataflow->problem->con_fun_0)
993 dataflow->problem->con_fun_0 (bb);
994
995 if (changed
996 && dataflow->problem->trans_fun (bb_index))
997 {
998 /* The out set of this block has changed.
999 Propagate to the outgoing blocks. */
1000 FOR_EACH_EDGE (e, ei, bb->preds)
1001 {
1002 unsigned ob_index = e->src->index;
1003
1004 if (bitmap_bit_p (considered, ob_index))
1005 bitmap_set_bit (pending, bbindex_to_postorder[ob_index]);
1006 }
1007 return true;
1008 }
1009 return false;
1010 }
1011
1012 /* Main dataflow solver loop.
1013
1014 DATAFLOW is problem we are solving, PENDING is worklist of basic blocks we
1015 need to visit.
1016 BLOCK_IN_POSTORDER is array of size N_BLOCKS specifying postorder in BBs and
1017 BBINDEX_TO_POSTORDER is array mapping back BB->index to postorder position.
1018 PENDING will be freed.
1019
1020 The worklists are bitmaps indexed by postorder positions.
1021
1022 The function implements standard algorithm for dataflow solving with two
1023 worklists (we are processing WORKLIST and storing new BBs to visit in
1024 PENDING).
1025
1026 As an optimization we maintain ages when BB was changed (stored in bb->aux)
1027 and when it was last visited (stored in last_visit_age). This avoids need
1028 to re-do confluence function for edges to basic blocks whose source
1029 did not change since destination was visited last time. */
1030
1031 static void
1032 df_worklist_dataflow_doublequeue (struct dataflow *dataflow,
1033 bitmap pending,
1034 sbitmap considered,
1035 int *blocks_in_postorder,
1036 unsigned *bbindex_to_postorder,
1037 int n_blocks)
1038 {
1039 enum df_flow_dir dir = dataflow->problem->dir;
1040 int dcount = 0;
1041 bitmap worklist = BITMAP_ALLOC (&df_bitmap_obstack);
1042 int age = 0;
1043 bool changed;
1044 vec<int> last_visit_age = vNULL;
1045 int prev_age;
1046 basic_block bb;
1047 int i;
1048
1049 last_visit_age.safe_grow_cleared (n_blocks);
1050
1051 /* Double-queueing. Worklist is for the current iteration,
1052 and pending is for the next. */
1053 while (!bitmap_empty_p (pending))
1054 {
1055 bitmap_iterator bi;
1056 unsigned int index;
1057
1058 /* Swap pending and worklist. */
1059 bitmap temp = worklist;
1060 worklist = pending;
1061 pending = temp;
1062
1063 EXECUTE_IF_SET_IN_BITMAP (worklist, 0, index, bi)
1064 {
1065 unsigned bb_index;
1066 dcount++;
1067
1068 bitmap_clear_bit (pending, index);
1069 bb_index = blocks_in_postorder[index];
1070 bb = BASIC_BLOCK (bb_index);
1071 prev_age = last_visit_age[index];
1072 if (dir == DF_FORWARD)
1073 changed = df_worklist_propagate_forward (dataflow, bb_index,
1074 bbindex_to_postorder,
1075 pending, considered,
1076 prev_age);
1077 else
1078 changed = df_worklist_propagate_backward (dataflow, bb_index,
1079 bbindex_to_postorder,
1080 pending, considered,
1081 prev_age);
1082 last_visit_age[index] = ++age;
1083 if (changed)
1084 bb->aux = (void *)(ptrdiff_t)age;
1085 }
1086 bitmap_clear (worklist);
1087 }
1088 for (i = 0; i < n_blocks; i++)
1089 BASIC_BLOCK (blocks_in_postorder[i])->aux = NULL;
1090
1091 BITMAP_FREE (worklist);
1092 BITMAP_FREE (pending);
1093 last_visit_age.release ();
1094
1095 /* Dump statistics. */
1096 if (dump_file)
1097 fprintf (dump_file, "df_worklist_dataflow_doublequeue:"
1098 "n_basic_blocks %d n_edges %d"
1099 " count %d (%5.2g)\n",
1100 n_basic_blocks_for_fn (cfun), n_edges_for_fn (cfun),
1101 dcount, dcount / (float)n_basic_blocks_for_fn (cfun));
1102 }
1103
1104 /* Worklist-based dataflow solver. It uses sbitmap as a worklist,
1105 with "n"-th bit representing the n-th block in the reverse-postorder order.
1106 The solver is a double-queue algorithm similar to the "double stack" solver
1107 from Cooper, Harvey and Kennedy, "Iterative data-flow analysis, Revisited".
1108 The only significant difference is that the worklist in this implementation
1109 is always sorted in RPO of the CFG visiting direction. */
1110
1111 void
1112 df_worklist_dataflow (struct dataflow *dataflow,
1113 bitmap blocks_to_consider,
1114 int *blocks_in_postorder,
1115 int n_blocks)
1116 {
1117 bitmap pending = BITMAP_ALLOC (&df_bitmap_obstack);
1118 sbitmap considered = sbitmap_alloc (last_basic_block);
1119 bitmap_iterator bi;
1120 unsigned int *bbindex_to_postorder;
1121 int i;
1122 unsigned int index;
1123 enum df_flow_dir dir = dataflow->problem->dir;
1124
1125 gcc_assert (dir != DF_NONE);
1126
1127 /* BBINDEX_TO_POSTORDER maps the bb->index to the reverse postorder. */
1128 bbindex_to_postorder = XNEWVEC (unsigned int, last_basic_block);
1129
1130 /* Initialize the array to an out-of-bound value. */
1131 for (i = 0; i < last_basic_block; i++)
1132 bbindex_to_postorder[i] = last_basic_block;
1133
1134 /* Initialize the considered map. */
1135 bitmap_clear (considered);
1136 EXECUTE_IF_SET_IN_BITMAP (blocks_to_consider, 0, index, bi)
1137 {
1138 bitmap_set_bit (considered, index);
1139 }
1140
1141 /* Initialize the mapping of block index to postorder. */
1142 for (i = 0; i < n_blocks; i++)
1143 {
1144 bbindex_to_postorder[blocks_in_postorder[i]] = i;
1145 /* Add all blocks to the worklist. */
1146 bitmap_set_bit (pending, i);
1147 }
1148
1149 /* Initialize the problem. */
1150 if (dataflow->problem->init_fun)
1151 dataflow->problem->init_fun (blocks_to_consider);
1152
1153 /* Solve it. */
1154 df_worklist_dataflow_doublequeue (dataflow, pending, considered,
1155 blocks_in_postorder,
1156 bbindex_to_postorder,
1157 n_blocks);
1158 sbitmap_free (considered);
1159 free (bbindex_to_postorder);
1160 }
1161
1162
1163 /* Remove the entries not in BLOCKS from the LIST of length LEN, preserving
1164 the order of the remaining entries. Returns the length of the resulting
1165 list. */
1166
1167 static unsigned
1168 df_prune_to_subcfg (int list[], unsigned len, bitmap blocks)
1169 {
1170 unsigned act, last;
1171
1172 for (act = 0, last = 0; act < len; act++)
1173 if (bitmap_bit_p (blocks, list[act]))
1174 list[last++] = list[act];
1175
1176 return last;
1177 }
1178
1179
1180 /* Execute dataflow analysis on a single dataflow problem.
1181
1182 BLOCKS_TO_CONSIDER are the blocks whose solution can either be
1183 examined or will be computed. For calls from DF_ANALYZE, this is
1184 the set of blocks that has been passed to DF_SET_BLOCKS.
1185 */
1186
1187 void
1188 df_analyze_problem (struct dataflow *dflow,
1189 bitmap blocks_to_consider,
1190 int *postorder, int n_blocks)
1191 {
1192 timevar_push (dflow->problem->tv_id);
1193
1194 /* (Re)Allocate the datastructures necessary to solve the problem. */
1195 if (dflow->problem->alloc_fun)
1196 dflow->problem->alloc_fun (blocks_to_consider);
1197
1198 #ifdef ENABLE_DF_CHECKING
1199 if (dflow->problem->verify_start_fun)
1200 dflow->problem->verify_start_fun ();
1201 #endif
1202
1203 /* Set up the problem and compute the local information. */
1204 if (dflow->problem->local_compute_fun)
1205 dflow->problem->local_compute_fun (blocks_to_consider);
1206
1207 /* Solve the equations. */
1208 if (dflow->problem->dataflow_fun)
1209 dflow->problem->dataflow_fun (dflow, blocks_to_consider,
1210 postorder, n_blocks);
1211
1212 /* Massage the solution. */
1213 if (dflow->problem->finalize_fun)
1214 dflow->problem->finalize_fun (blocks_to_consider);
1215
1216 #ifdef ENABLE_DF_CHECKING
1217 if (dflow->problem->verify_end_fun)
1218 dflow->problem->verify_end_fun ();
1219 #endif
1220
1221 timevar_pop (dflow->problem->tv_id);
1222
1223 dflow->computed = true;
1224 }
1225
1226
1227 /* Analyze dataflow info for the basic blocks specified by the bitmap
1228 BLOCKS, or for the whole CFG if BLOCKS is zero. */
1229
1230 void
1231 df_analyze (void)
1232 {
1233 bitmap current_all_blocks = BITMAP_ALLOC (&df_bitmap_obstack);
1234 bool everything;
1235 int i;
1236
1237 free (df->postorder);
1238 free (df->postorder_inverted);
1239 df->postorder = XNEWVEC (int, last_basic_block);
1240 df->postorder_inverted = XNEWVEC (int, last_basic_block);
1241 df->n_blocks = post_order_compute (df->postorder, true, true);
1242 df->n_blocks_inverted = inverted_post_order_compute (df->postorder_inverted);
1243
1244 /* These should be the same. */
1245 gcc_assert (df->n_blocks == df->n_blocks_inverted);
1246
1247 /* We need to do this before the df_verify_all because this is
1248 not kept incrementally up to date. */
1249 df_compute_regs_ever_live (false);
1250 df_process_deferred_rescans ();
1251
1252 if (dump_file)
1253 fprintf (dump_file, "df_analyze called\n");
1254
1255 #ifndef ENABLE_DF_CHECKING
1256 if (df->changeable_flags & DF_VERIFY_SCHEDULED)
1257 #endif
1258 df_verify ();
1259
1260 for (i = 0; i < df->n_blocks; i++)
1261 bitmap_set_bit (current_all_blocks, df->postorder[i]);
1262
1263 #ifdef ENABLE_CHECKING
1264 /* Verify that POSTORDER_INVERTED only contains blocks reachable from
1265 the ENTRY block. */
1266 for (i = 0; i < df->n_blocks_inverted; i++)
1267 gcc_assert (bitmap_bit_p (current_all_blocks, df->postorder_inverted[i]));
1268 #endif
1269
1270 /* Make sure that we have pruned any unreachable blocks from these
1271 sets. */
1272 if (df->analyze_subset)
1273 {
1274 everything = false;
1275 bitmap_and_into (df->blocks_to_analyze, current_all_blocks);
1276 df->n_blocks = df_prune_to_subcfg (df->postorder,
1277 df->n_blocks, df->blocks_to_analyze);
1278 df->n_blocks_inverted = df_prune_to_subcfg (df->postorder_inverted,
1279 df->n_blocks_inverted,
1280 df->blocks_to_analyze);
1281 BITMAP_FREE (current_all_blocks);
1282 }
1283 else
1284 {
1285 everything = true;
1286 df->blocks_to_analyze = current_all_blocks;
1287 current_all_blocks = NULL;
1288 }
1289
1290 /* Skip over the DF_SCAN problem. */
1291 for (i = 1; i < df->num_problems_defined; i++)
1292 {
1293 struct dataflow *dflow = df->problems_in_order[i];
1294 if (dflow->solutions_dirty)
1295 {
1296 if (dflow->problem->dir == DF_FORWARD)
1297 df_analyze_problem (dflow,
1298 df->blocks_to_analyze,
1299 df->postorder_inverted,
1300 df->n_blocks_inverted);
1301 else
1302 df_analyze_problem (dflow,
1303 df->blocks_to_analyze,
1304 df->postorder,
1305 df->n_blocks);
1306 }
1307 }
1308
1309 if (everything)
1310 {
1311 BITMAP_FREE (df->blocks_to_analyze);
1312 df->blocks_to_analyze = NULL;
1313 }
1314
1315 #ifdef DF_DEBUG_CFG
1316 df_set_clean_cfg ();
1317 #endif
1318 }
1319
1320
1321 /* Return the number of basic blocks from the last call to df_analyze. */
1322
1323 int
1324 df_get_n_blocks (enum df_flow_dir dir)
1325 {
1326 gcc_assert (dir != DF_NONE);
1327
1328 if (dir == DF_FORWARD)
1329 {
1330 gcc_assert (df->postorder_inverted);
1331 return df->n_blocks_inverted;
1332 }
1333
1334 gcc_assert (df->postorder);
1335 return df->n_blocks;
1336 }
1337
1338
1339 /* Return a pointer to the array of basic blocks in the reverse postorder.
1340 Depending on the direction of the dataflow problem,
1341 it returns either the usual reverse postorder array
1342 or the reverse postorder of inverted traversal. */
1343 int *
1344 df_get_postorder (enum df_flow_dir dir)
1345 {
1346 gcc_assert (dir != DF_NONE);
1347
1348 if (dir == DF_FORWARD)
1349 {
1350 gcc_assert (df->postorder_inverted);
1351 return df->postorder_inverted;
1352 }
1353 gcc_assert (df->postorder);
1354 return df->postorder;
1355 }
1356
1357 static struct df_problem user_problem;
1358 static struct dataflow user_dflow;
1359
1360 /* Interface for calling iterative dataflow with user defined
1361 confluence and transfer functions. All that is necessary is to
1362 supply DIR, a direction, CONF_FUN_0, a confluence function for
1363 blocks with no logical preds (or NULL), CONF_FUN_N, the normal
1364 confluence function, TRANS_FUN, the basic block transfer function,
1365 and BLOCKS, the set of blocks to examine, POSTORDER the blocks in
1366 postorder, and N_BLOCKS, the number of blocks in POSTORDER. */
1367
1368 void
1369 df_simple_dataflow (enum df_flow_dir dir,
1370 df_init_function init_fun,
1371 df_confluence_function_0 con_fun_0,
1372 df_confluence_function_n con_fun_n,
1373 df_transfer_function trans_fun,
1374 bitmap blocks, int * postorder, int n_blocks)
1375 {
1376 memset (&user_problem, 0, sizeof (struct df_problem));
1377 user_problem.dir = dir;
1378 user_problem.init_fun = init_fun;
1379 user_problem.con_fun_0 = con_fun_0;
1380 user_problem.con_fun_n = con_fun_n;
1381 user_problem.trans_fun = trans_fun;
1382 user_dflow.problem = &user_problem;
1383 df_worklist_dataflow (&user_dflow, blocks, postorder, n_blocks);
1384 }
1385
1386
1387 \f
1388 /*----------------------------------------------------------------------------
1389 Functions to support limited incremental change.
1390 ----------------------------------------------------------------------------*/
1391
1392
1393 /* Get basic block info. */
1394
1395 static void *
1396 df_get_bb_info (struct dataflow *dflow, unsigned int index)
1397 {
1398 if (dflow->block_info == NULL)
1399 return NULL;
1400 if (index >= dflow->block_info_size)
1401 return NULL;
1402 return (void *)((char *)dflow->block_info
1403 + index * dflow->problem->block_info_elt_size);
1404 }
1405
1406
1407 /* Set basic block info. */
1408
1409 static void
1410 df_set_bb_info (struct dataflow *dflow, unsigned int index,
1411 void *bb_info)
1412 {
1413 gcc_assert (dflow->block_info);
1414 memcpy ((char *)dflow->block_info
1415 + index * dflow->problem->block_info_elt_size,
1416 bb_info, dflow->problem->block_info_elt_size);
1417 }
1418
1419
1420 /* Clear basic block info. */
1421
1422 static void
1423 df_clear_bb_info (struct dataflow *dflow, unsigned int index)
1424 {
1425 gcc_assert (dflow->block_info);
1426 gcc_assert (dflow->block_info_size > index);
1427 memset ((char *)dflow->block_info
1428 + index * dflow->problem->block_info_elt_size,
1429 0, dflow->problem->block_info_elt_size);
1430 }
1431
1432
1433 /* Mark the solutions as being out of date. */
1434
1435 void
1436 df_mark_solutions_dirty (void)
1437 {
1438 if (df)
1439 {
1440 int p;
1441 for (p = 1; p < df->num_problems_defined; p++)
1442 df->problems_in_order[p]->solutions_dirty = true;
1443 }
1444 }
1445
1446
1447 /* Return true if BB needs it's transfer functions recomputed. */
1448
1449 bool
1450 df_get_bb_dirty (basic_block bb)
1451 {
1452 return bitmap_bit_p ((df_live
1453 ? df_live : df_lr)->out_of_date_transfer_functions,
1454 bb->index);
1455 }
1456
1457
1458 /* Mark BB as needing it's transfer functions as being out of
1459 date. */
1460
1461 void
1462 df_set_bb_dirty (basic_block bb)
1463 {
1464 bb->flags |= BB_MODIFIED;
1465 if (df)
1466 {
1467 int p;
1468 for (p = 1; p < df->num_problems_defined; p++)
1469 {
1470 struct dataflow *dflow = df->problems_in_order[p];
1471 if (dflow->out_of_date_transfer_functions)
1472 bitmap_set_bit (dflow->out_of_date_transfer_functions, bb->index);
1473 }
1474 df_mark_solutions_dirty ();
1475 }
1476 }
1477
1478
1479 /* Grow the bb_info array. */
1480
1481 void
1482 df_grow_bb_info (struct dataflow *dflow)
1483 {
1484 unsigned int new_size = last_basic_block + 1;
1485 if (dflow->block_info_size < new_size)
1486 {
1487 new_size += new_size / 4;
1488 dflow->block_info
1489 = (void *)XRESIZEVEC (char, (char *)dflow->block_info,
1490 new_size
1491 * dflow->problem->block_info_elt_size);
1492 memset ((char *)dflow->block_info
1493 + dflow->block_info_size
1494 * dflow->problem->block_info_elt_size,
1495 0,
1496 (new_size - dflow->block_info_size)
1497 * dflow->problem->block_info_elt_size);
1498 dflow->block_info_size = new_size;
1499 }
1500 }
1501
1502
1503 /* Clear the dirty bits. This is called from places that delete
1504 blocks. */
1505 static void
1506 df_clear_bb_dirty (basic_block bb)
1507 {
1508 int p;
1509 for (p = 1; p < df->num_problems_defined; p++)
1510 {
1511 struct dataflow *dflow = df->problems_in_order[p];
1512 if (dflow->out_of_date_transfer_functions)
1513 bitmap_clear_bit (dflow->out_of_date_transfer_functions, bb->index);
1514 }
1515 }
1516
1517 /* Called from the rtl_compact_blocks to reorganize the problems basic
1518 block info. */
1519
1520 void
1521 df_compact_blocks (void)
1522 {
1523 int i, p;
1524 basic_block bb;
1525 void *problem_temps;
1526 bitmap_head tmp;
1527
1528 bitmap_initialize (&tmp, &df_bitmap_obstack);
1529 for (p = 0; p < df->num_problems_defined; p++)
1530 {
1531 struct dataflow *dflow = df->problems_in_order[p];
1532
1533 /* Need to reorganize the out_of_date_transfer_functions for the
1534 dflow problem. */
1535 if (dflow->out_of_date_transfer_functions)
1536 {
1537 bitmap_copy (&tmp, dflow->out_of_date_transfer_functions);
1538 bitmap_clear (dflow->out_of_date_transfer_functions);
1539 if (bitmap_bit_p (&tmp, ENTRY_BLOCK))
1540 bitmap_set_bit (dflow->out_of_date_transfer_functions, ENTRY_BLOCK);
1541 if (bitmap_bit_p (&tmp, EXIT_BLOCK))
1542 bitmap_set_bit (dflow->out_of_date_transfer_functions, EXIT_BLOCK);
1543
1544 i = NUM_FIXED_BLOCKS;
1545 FOR_EACH_BB (bb)
1546 {
1547 if (bitmap_bit_p (&tmp, bb->index))
1548 bitmap_set_bit (dflow->out_of_date_transfer_functions, i);
1549 i++;
1550 }
1551 }
1552
1553 /* Now shuffle the block info for the problem. */
1554 if (dflow->problem->free_bb_fun)
1555 {
1556 int size = last_basic_block * dflow->problem->block_info_elt_size;
1557 problem_temps = XNEWVAR (char, size);
1558 df_grow_bb_info (dflow);
1559 memcpy (problem_temps, dflow->block_info, size);
1560
1561 /* Copy the bb info from the problem tmps to the proper
1562 place in the block_info vector. Null out the copied
1563 item. The entry and exit blocks never move. */
1564 i = NUM_FIXED_BLOCKS;
1565 FOR_EACH_BB (bb)
1566 {
1567 df_set_bb_info (dflow, i,
1568 (char *)problem_temps
1569 + bb->index * dflow->problem->block_info_elt_size);
1570 i++;
1571 }
1572 memset ((char *)dflow->block_info
1573 + i * dflow->problem->block_info_elt_size, 0,
1574 (last_basic_block - i)
1575 * dflow->problem->block_info_elt_size);
1576 free (problem_temps);
1577 }
1578 }
1579
1580 /* Shuffle the bits in the basic_block indexed arrays. */
1581
1582 if (df->blocks_to_analyze)
1583 {
1584 if (bitmap_bit_p (&tmp, ENTRY_BLOCK))
1585 bitmap_set_bit (df->blocks_to_analyze, ENTRY_BLOCK);
1586 if (bitmap_bit_p (&tmp, EXIT_BLOCK))
1587 bitmap_set_bit (df->blocks_to_analyze, EXIT_BLOCK);
1588 bitmap_copy (&tmp, df->blocks_to_analyze);
1589 bitmap_clear (df->blocks_to_analyze);
1590 i = NUM_FIXED_BLOCKS;
1591 FOR_EACH_BB (bb)
1592 {
1593 if (bitmap_bit_p (&tmp, bb->index))
1594 bitmap_set_bit (df->blocks_to_analyze, i);
1595 i++;
1596 }
1597 }
1598
1599 bitmap_clear (&tmp);
1600
1601 i = NUM_FIXED_BLOCKS;
1602 FOR_EACH_BB (bb)
1603 {
1604 SET_BASIC_BLOCK (i, bb);
1605 bb->index = i;
1606 i++;
1607 }
1608
1609 gcc_assert (i == n_basic_blocks_for_fn (cfun));
1610
1611 for (; i < last_basic_block; i++)
1612 SET_BASIC_BLOCK (i, NULL);
1613
1614 #ifdef DF_DEBUG_CFG
1615 if (!df_lr->solutions_dirty)
1616 df_set_clean_cfg ();
1617 #endif
1618 }
1619
1620
1621 /* Shove NEW_BLOCK in at OLD_INDEX. Called from ifcvt to hack a
1622 block. There is no excuse for people to do this kind of thing. */
1623
1624 void
1625 df_bb_replace (int old_index, basic_block new_block)
1626 {
1627 int new_block_index = new_block->index;
1628 int p;
1629
1630 if (dump_file)
1631 fprintf (dump_file, "shoving block %d into %d\n", new_block_index, old_index);
1632
1633 gcc_assert (df);
1634 gcc_assert (BASIC_BLOCK (old_index) == NULL);
1635
1636 for (p = 0; p < df->num_problems_defined; p++)
1637 {
1638 struct dataflow *dflow = df->problems_in_order[p];
1639 if (dflow->block_info)
1640 {
1641 df_grow_bb_info (dflow);
1642 df_set_bb_info (dflow, old_index,
1643 df_get_bb_info (dflow, new_block_index));
1644 }
1645 }
1646
1647 df_clear_bb_dirty (new_block);
1648 SET_BASIC_BLOCK (old_index, new_block);
1649 new_block->index = old_index;
1650 df_set_bb_dirty (BASIC_BLOCK (old_index));
1651 SET_BASIC_BLOCK (new_block_index, NULL);
1652 }
1653
1654
1655 /* Free all of the per basic block dataflow from all of the problems.
1656 This is typically called before a basic block is deleted and the
1657 problem will be reanalyzed. */
1658
1659 void
1660 df_bb_delete (int bb_index)
1661 {
1662 basic_block bb = BASIC_BLOCK (bb_index);
1663 int i;
1664
1665 if (!df)
1666 return;
1667
1668 for (i = 0; i < df->num_problems_defined; i++)
1669 {
1670 struct dataflow *dflow = df->problems_in_order[i];
1671 if (dflow->problem->free_bb_fun)
1672 {
1673 void *bb_info = df_get_bb_info (dflow, bb_index);
1674 if (bb_info)
1675 {
1676 dflow->problem->free_bb_fun (bb, bb_info);
1677 df_clear_bb_info (dflow, bb_index);
1678 }
1679 }
1680 }
1681 df_clear_bb_dirty (bb);
1682 df_mark_solutions_dirty ();
1683 }
1684
1685
1686 /* Verify that there is a place for everything and everything is in
1687 its place. This is too expensive to run after every pass in the
1688 mainline. However this is an excellent debugging tool if the
1689 dataflow information is not being updated properly. You can just
1690 sprinkle calls in until you find the place that is changing an
1691 underlying structure without calling the proper updating
1692 routine. */
1693
1694 void
1695 df_verify (void)
1696 {
1697 df_scan_verify ();
1698 #ifdef ENABLE_DF_CHECKING
1699 df_lr_verify_transfer_functions ();
1700 if (df_live)
1701 df_live_verify_transfer_functions ();
1702 #endif
1703 }
1704
1705 #ifdef DF_DEBUG_CFG
1706
1707 /* Compute an array of ints that describes the cfg. This can be used
1708 to discover places where the cfg is modified by the appropriate
1709 calls have not been made to the keep df informed. The internals of
1710 this are unexciting, the key is that two instances of this can be
1711 compared to see if any changes have been made to the cfg. */
1712
1713 static int *
1714 df_compute_cfg_image (void)
1715 {
1716 basic_block bb;
1717 int size = 2 + (2 * n_basic_blocks_for_fn (cfun));
1718 int i;
1719 int * map;
1720
1721 FOR_ALL_BB (bb)
1722 {
1723 size += EDGE_COUNT (bb->succs);
1724 }
1725
1726 map = XNEWVEC (int, size);
1727 map[0] = size;
1728 i = 1;
1729 FOR_ALL_BB (bb)
1730 {
1731 edge_iterator ei;
1732 edge e;
1733
1734 map[i++] = bb->index;
1735 FOR_EACH_EDGE (e, ei, bb->succs)
1736 map[i++] = e->dest->index;
1737 map[i++] = -1;
1738 }
1739 map[i] = -1;
1740 return map;
1741 }
1742
1743 static int *saved_cfg = NULL;
1744
1745
1746 /* This function compares the saved version of the cfg with the
1747 current cfg and aborts if the two are identical. The function
1748 silently returns if the cfg has been marked as dirty or the two are
1749 the same. */
1750
1751 void
1752 df_check_cfg_clean (void)
1753 {
1754 int *new_map;
1755
1756 if (!df)
1757 return;
1758
1759 if (df_lr->solutions_dirty)
1760 return;
1761
1762 if (saved_cfg == NULL)
1763 return;
1764
1765 new_map = df_compute_cfg_image ();
1766 gcc_assert (memcmp (saved_cfg, new_map, saved_cfg[0] * sizeof (int)) == 0);
1767 free (new_map);
1768 }
1769
1770
1771 /* This function builds a cfg fingerprint and squirrels it away in
1772 saved_cfg. */
1773
1774 static void
1775 df_set_clean_cfg (void)
1776 {
1777 free (saved_cfg);
1778 saved_cfg = df_compute_cfg_image ();
1779 }
1780
1781 #endif /* DF_DEBUG_CFG */
1782 /*----------------------------------------------------------------------------
1783 PUBLIC INTERFACES TO QUERY INFORMATION.
1784 ----------------------------------------------------------------------------*/
1785
1786
1787 /* Return first def of REGNO within BB. */
1788
1789 df_ref
1790 df_bb_regno_first_def_find (basic_block bb, unsigned int regno)
1791 {
1792 rtx insn;
1793 df_ref *def_rec;
1794 unsigned int uid;
1795
1796 FOR_BB_INSNS (bb, insn)
1797 {
1798 if (!INSN_P (insn))
1799 continue;
1800
1801 uid = INSN_UID (insn);
1802 for (def_rec = DF_INSN_UID_DEFS (uid); *def_rec; def_rec++)
1803 {
1804 df_ref def = *def_rec;
1805 if (DF_REF_REGNO (def) == regno)
1806 return def;
1807 }
1808 }
1809 return NULL;
1810 }
1811
1812
1813 /* Return last def of REGNO within BB. */
1814
1815 df_ref
1816 df_bb_regno_last_def_find (basic_block bb, unsigned int regno)
1817 {
1818 rtx insn;
1819 df_ref *def_rec;
1820 unsigned int uid;
1821
1822 FOR_BB_INSNS_REVERSE (bb, insn)
1823 {
1824 if (!INSN_P (insn))
1825 continue;
1826
1827 uid = INSN_UID (insn);
1828 for (def_rec = DF_INSN_UID_DEFS (uid); *def_rec; def_rec++)
1829 {
1830 df_ref def = *def_rec;
1831 if (DF_REF_REGNO (def) == regno)
1832 return def;
1833 }
1834 }
1835
1836 return NULL;
1837 }
1838
1839 /* Finds the reference corresponding to the definition of REG in INSN.
1840 DF is the dataflow object. */
1841
1842 df_ref
1843 df_find_def (rtx insn, rtx reg)
1844 {
1845 unsigned int uid;
1846 df_ref *def_rec;
1847
1848 if (GET_CODE (reg) == SUBREG)
1849 reg = SUBREG_REG (reg);
1850 gcc_assert (REG_P (reg));
1851
1852 uid = INSN_UID (insn);
1853 for (def_rec = DF_INSN_UID_DEFS (uid); *def_rec; def_rec++)
1854 {
1855 df_ref def = *def_rec;
1856 if (DF_REF_REGNO (def) == REGNO (reg))
1857 return def;
1858 }
1859
1860 return NULL;
1861 }
1862
1863
1864 /* Return true if REG is defined in INSN, zero otherwise. */
1865
1866 bool
1867 df_reg_defined (rtx insn, rtx reg)
1868 {
1869 return df_find_def (insn, reg) != NULL;
1870 }
1871
1872
1873 /* Finds the reference corresponding to the use of REG in INSN.
1874 DF is the dataflow object. */
1875
1876 df_ref
1877 df_find_use (rtx insn, rtx reg)
1878 {
1879 unsigned int uid;
1880 df_ref *use_rec;
1881
1882 if (GET_CODE (reg) == SUBREG)
1883 reg = SUBREG_REG (reg);
1884 gcc_assert (REG_P (reg));
1885
1886 uid = INSN_UID (insn);
1887 for (use_rec = DF_INSN_UID_USES (uid); *use_rec; use_rec++)
1888 {
1889 df_ref use = *use_rec;
1890 if (DF_REF_REGNO (use) == REGNO (reg))
1891 return use;
1892 }
1893 if (df->changeable_flags & DF_EQ_NOTES)
1894 for (use_rec = DF_INSN_UID_EQ_USES (uid); *use_rec; use_rec++)
1895 {
1896 df_ref use = *use_rec;
1897 if (DF_REF_REGNO (use) == REGNO (reg))
1898 return use;
1899 }
1900 return NULL;
1901 }
1902
1903
1904 /* Return true if REG is referenced in INSN, zero otherwise. */
1905
1906 bool
1907 df_reg_used (rtx insn, rtx reg)
1908 {
1909 return df_find_use (insn, reg) != NULL;
1910 }
1911
1912 \f
1913 /*----------------------------------------------------------------------------
1914 Debugging and printing functions.
1915 ----------------------------------------------------------------------------*/
1916
1917 /* Write information about registers and basic blocks into FILE.
1918 This is part of making a debugging dump. */
1919
1920 void
1921 dump_regset (regset r, FILE *outf)
1922 {
1923 unsigned i;
1924 reg_set_iterator rsi;
1925
1926 if (r == NULL)
1927 {
1928 fputs (" (nil)", outf);
1929 return;
1930 }
1931
1932 EXECUTE_IF_SET_IN_REG_SET (r, 0, i, rsi)
1933 {
1934 fprintf (outf, " %d", i);
1935 if (i < FIRST_PSEUDO_REGISTER)
1936 fprintf (outf, " [%s]",
1937 reg_names[i]);
1938 }
1939 }
1940
1941 /* Print a human-readable representation of R on the standard error
1942 stream. This function is designed to be used from within the
1943 debugger. */
1944 extern void debug_regset (regset);
1945 DEBUG_FUNCTION void
1946 debug_regset (regset r)
1947 {
1948 dump_regset (r, stderr);
1949 putc ('\n', stderr);
1950 }
1951
1952 /* Write information about registers and basic blocks into FILE.
1953 This is part of making a debugging dump. */
1954
1955 void
1956 df_print_regset (FILE *file, bitmap r)
1957 {
1958 unsigned int i;
1959 bitmap_iterator bi;
1960
1961 if (r == NULL)
1962 fputs (" (nil)", file);
1963 else
1964 {
1965 EXECUTE_IF_SET_IN_BITMAP (r, 0, i, bi)
1966 {
1967 fprintf (file, " %d", i);
1968 if (i < FIRST_PSEUDO_REGISTER)
1969 fprintf (file, " [%s]", reg_names[i]);
1970 }
1971 }
1972 fprintf (file, "\n");
1973 }
1974
1975
1976 /* Write information about registers and basic blocks into FILE. The
1977 bitmap is in the form used by df_byte_lr. This is part of making a
1978 debugging dump. */
1979
1980 void
1981 df_print_word_regset (FILE *file, bitmap r)
1982 {
1983 unsigned int max_reg = max_reg_num ();
1984
1985 if (r == NULL)
1986 fputs (" (nil)", file);
1987 else
1988 {
1989 unsigned int i;
1990 for (i = FIRST_PSEUDO_REGISTER; i < max_reg; i++)
1991 {
1992 bool found = (bitmap_bit_p (r, 2 * i)
1993 || bitmap_bit_p (r, 2 * i + 1));
1994 if (found)
1995 {
1996 int word;
1997 const char * sep = "";
1998 fprintf (file, " %d", i);
1999 fprintf (file, "(");
2000 for (word = 0; word < 2; word++)
2001 if (bitmap_bit_p (r, 2 * i + word))
2002 {
2003 fprintf (file, "%s%d", sep, word);
2004 sep = ", ";
2005 }
2006 fprintf (file, ")");
2007 }
2008 }
2009 }
2010 fprintf (file, "\n");
2011 }
2012
2013
2014 /* Dump dataflow info. */
2015
2016 void
2017 df_dump (FILE *file)
2018 {
2019 basic_block bb;
2020 df_dump_start (file);
2021
2022 FOR_ALL_BB (bb)
2023 {
2024 df_print_bb_index (bb, file);
2025 df_dump_top (bb, file);
2026 df_dump_bottom (bb, file);
2027 }
2028
2029 fprintf (file, "\n");
2030 }
2031
2032
2033 /* Dump dataflow info for df->blocks_to_analyze. */
2034
2035 void
2036 df_dump_region (FILE *file)
2037 {
2038 if (df->blocks_to_analyze)
2039 {
2040 bitmap_iterator bi;
2041 unsigned int bb_index;
2042
2043 fprintf (file, "\n\nstarting region dump\n");
2044 df_dump_start (file);
2045
2046 EXECUTE_IF_SET_IN_BITMAP (df->blocks_to_analyze, 0, bb_index, bi)
2047 {
2048 basic_block bb = BASIC_BLOCK (bb_index);
2049 dump_bb (file, bb, 0, TDF_DETAILS);
2050 }
2051 fprintf (file, "\n");
2052 }
2053 else
2054 df_dump (file);
2055 }
2056
2057
2058 /* Dump the introductory information for each problem defined. */
2059
2060 void
2061 df_dump_start (FILE *file)
2062 {
2063 int i;
2064
2065 if (!df || !file)
2066 return;
2067
2068 fprintf (file, "\n\n%s\n", current_function_name ());
2069 fprintf (file, "\nDataflow summary:\n");
2070 if (df->blocks_to_analyze)
2071 fprintf (file, "def_info->table_size = %d, use_info->table_size = %d\n",
2072 DF_DEFS_TABLE_SIZE (), DF_USES_TABLE_SIZE ());
2073
2074 for (i = 0; i < df->num_problems_defined; i++)
2075 {
2076 struct dataflow *dflow = df->problems_in_order[i];
2077 if (dflow->computed)
2078 {
2079 df_dump_problem_function fun = dflow->problem->dump_start_fun;
2080 if (fun)
2081 fun (file);
2082 }
2083 }
2084 }
2085
2086
2087 /* Dump the top or bottom of the block information for BB. */
2088 static void
2089 df_dump_bb_problem_data (basic_block bb, FILE *file, bool top)
2090 {
2091 int i;
2092
2093 if (!df || !file)
2094 return;
2095
2096 for (i = 0; i < df->num_problems_defined; i++)
2097 {
2098 struct dataflow *dflow = df->problems_in_order[i];
2099 if (dflow->computed)
2100 {
2101 df_dump_bb_problem_function bbfun;
2102
2103 if (top)
2104 bbfun = dflow->problem->dump_top_fun;
2105 else
2106 bbfun = dflow->problem->dump_bottom_fun;
2107
2108 if (bbfun)
2109 bbfun (bb, file);
2110 }
2111 }
2112 }
2113
2114 /* Dump the top of the block information for BB. */
2115
2116 void
2117 df_dump_top (basic_block bb, FILE *file)
2118 {
2119 df_dump_bb_problem_data (bb, file, /*top=*/true);
2120 }
2121
2122 /* Dump the bottom of the block information for BB. */
2123
2124 void
2125 df_dump_bottom (basic_block bb, FILE *file)
2126 {
2127 df_dump_bb_problem_data (bb, file, /*top=*/false);
2128 }
2129
2130
2131 /* Dump information about INSN just before or after dumping INSN itself. */
2132 static void
2133 df_dump_insn_problem_data (const_rtx insn, FILE *file, bool top)
2134 {
2135 int i;
2136
2137 if (!df || !file)
2138 return;
2139
2140 for (i = 0; i < df->num_problems_defined; i++)
2141 {
2142 struct dataflow *dflow = df->problems_in_order[i];
2143 if (dflow->computed)
2144 {
2145 df_dump_insn_problem_function insnfun;
2146
2147 if (top)
2148 insnfun = dflow->problem->dump_insn_top_fun;
2149 else
2150 insnfun = dflow->problem->dump_insn_bottom_fun;
2151
2152 if (insnfun)
2153 insnfun (insn, file);
2154 }
2155 }
2156 }
2157
2158 /* Dump information about INSN before dumping INSN itself. */
2159
2160 void
2161 df_dump_insn_top (const_rtx insn, FILE *file)
2162 {
2163 df_dump_insn_problem_data (insn, file, /*top=*/true);
2164 }
2165
2166 /* Dump information about INSN after dumping INSN itself. */
2167
2168 void
2169 df_dump_insn_bottom (const_rtx insn, FILE *file)
2170 {
2171 df_dump_insn_problem_data (insn, file, /*top=*/false);
2172 }
2173
2174
2175 static void
2176 df_ref_dump (df_ref ref, FILE *file)
2177 {
2178 fprintf (file, "%c%d(%d)",
2179 DF_REF_REG_DEF_P (ref)
2180 ? 'd'
2181 : (DF_REF_FLAGS (ref) & DF_REF_IN_NOTE) ? 'e' : 'u',
2182 DF_REF_ID (ref),
2183 DF_REF_REGNO (ref));
2184 }
2185
2186 void
2187 df_refs_chain_dump (df_ref *ref_rec, bool follow_chain, FILE *file)
2188 {
2189 fprintf (file, "{ ");
2190 while (*ref_rec)
2191 {
2192 df_ref ref = *ref_rec;
2193 df_ref_dump (ref, file);
2194 if (follow_chain)
2195 df_chain_dump (DF_REF_CHAIN (ref), file);
2196 ref_rec++;
2197 }
2198 fprintf (file, "}");
2199 }
2200
2201
2202 /* Dump either a ref-def or reg-use chain. */
2203
2204 void
2205 df_regs_chain_dump (df_ref ref, FILE *file)
2206 {
2207 fprintf (file, "{ ");
2208 while (ref)
2209 {
2210 df_ref_dump (ref, file);
2211 ref = DF_REF_NEXT_REG (ref);
2212 }
2213 fprintf (file, "}");
2214 }
2215
2216
2217 static void
2218 df_mws_dump (struct df_mw_hardreg **mws, FILE *file)
2219 {
2220 while (*mws)
2221 {
2222 fprintf (file, "mw %c r[%d..%d]\n",
2223 (DF_MWS_REG_DEF_P (*mws)) ? 'd' : 'u',
2224 (*mws)->start_regno, (*mws)->end_regno);
2225 mws++;
2226 }
2227 }
2228
2229
2230 static void
2231 df_insn_uid_debug (unsigned int uid,
2232 bool follow_chain, FILE *file)
2233 {
2234 fprintf (file, "insn %d luid %d",
2235 uid, DF_INSN_UID_LUID (uid));
2236
2237 if (DF_INSN_UID_DEFS (uid))
2238 {
2239 fprintf (file, " defs ");
2240 df_refs_chain_dump (DF_INSN_UID_DEFS (uid), follow_chain, file);
2241 }
2242
2243 if (DF_INSN_UID_USES (uid))
2244 {
2245 fprintf (file, " uses ");
2246 df_refs_chain_dump (DF_INSN_UID_USES (uid), follow_chain, file);
2247 }
2248
2249 if (DF_INSN_UID_EQ_USES (uid))
2250 {
2251 fprintf (file, " eq uses ");
2252 df_refs_chain_dump (DF_INSN_UID_EQ_USES (uid), follow_chain, file);
2253 }
2254
2255 if (DF_INSN_UID_MWS (uid))
2256 {
2257 fprintf (file, " mws ");
2258 df_mws_dump (DF_INSN_UID_MWS (uid), file);
2259 }
2260 fprintf (file, "\n");
2261 }
2262
2263
2264 DEBUG_FUNCTION void
2265 df_insn_debug (rtx insn, bool follow_chain, FILE *file)
2266 {
2267 df_insn_uid_debug (INSN_UID (insn), follow_chain, file);
2268 }
2269
2270 DEBUG_FUNCTION void
2271 df_insn_debug_regno (rtx insn, FILE *file)
2272 {
2273 struct df_insn_info *insn_info = DF_INSN_INFO_GET (insn);
2274
2275 fprintf (file, "insn %d bb %d luid %d defs ",
2276 INSN_UID (insn), BLOCK_FOR_INSN (insn)->index,
2277 DF_INSN_INFO_LUID (insn_info));
2278 df_refs_chain_dump (DF_INSN_INFO_DEFS (insn_info), false, file);
2279
2280 fprintf (file, " uses ");
2281 df_refs_chain_dump (DF_INSN_INFO_USES (insn_info), false, file);
2282
2283 fprintf (file, " eq_uses ");
2284 df_refs_chain_dump (DF_INSN_INFO_EQ_USES (insn_info), false, file);
2285 fprintf (file, "\n");
2286 }
2287
2288 DEBUG_FUNCTION void
2289 df_regno_debug (unsigned int regno, FILE *file)
2290 {
2291 fprintf (file, "reg %d defs ", regno);
2292 df_regs_chain_dump (DF_REG_DEF_CHAIN (regno), file);
2293 fprintf (file, " uses ");
2294 df_regs_chain_dump (DF_REG_USE_CHAIN (regno), file);
2295 fprintf (file, " eq_uses ");
2296 df_regs_chain_dump (DF_REG_EQ_USE_CHAIN (regno), file);
2297 fprintf (file, "\n");
2298 }
2299
2300
2301 DEBUG_FUNCTION void
2302 df_ref_debug (df_ref ref, FILE *file)
2303 {
2304 fprintf (file, "%c%d ",
2305 DF_REF_REG_DEF_P (ref) ? 'd' : 'u',
2306 DF_REF_ID (ref));
2307 fprintf (file, "reg %d bb %d insn %d flag %#x type %#x ",
2308 DF_REF_REGNO (ref),
2309 DF_REF_BBNO (ref),
2310 DF_REF_IS_ARTIFICIAL (ref) ? -1 : DF_REF_INSN_UID (ref),
2311 DF_REF_FLAGS (ref),
2312 DF_REF_TYPE (ref));
2313 if (DF_REF_LOC (ref))
2314 {
2315 if (flag_dump_noaddr)
2316 fprintf (file, "loc #(#) chain ");
2317 else
2318 fprintf (file, "loc %p(%p) chain ", (void *)DF_REF_LOC (ref),
2319 (void *)*DF_REF_LOC (ref));
2320 }
2321 else
2322 fprintf (file, "chain ");
2323 df_chain_dump (DF_REF_CHAIN (ref), file);
2324 fprintf (file, "\n");
2325 }
2326 \f
2327 /* Functions for debugging from GDB. */
2328
2329 DEBUG_FUNCTION void
2330 debug_df_insn (rtx insn)
2331 {
2332 df_insn_debug (insn, true, stderr);
2333 debug_rtx (insn);
2334 }
2335
2336
2337 DEBUG_FUNCTION void
2338 debug_df_reg (rtx reg)
2339 {
2340 df_regno_debug (REGNO (reg), stderr);
2341 }
2342
2343
2344 DEBUG_FUNCTION void
2345 debug_df_regno (unsigned int regno)
2346 {
2347 df_regno_debug (regno, stderr);
2348 }
2349
2350
2351 DEBUG_FUNCTION void
2352 debug_df_ref (df_ref ref)
2353 {
2354 df_ref_debug (ref, stderr);
2355 }
2356
2357
2358 DEBUG_FUNCTION void
2359 debug_df_defno (unsigned int defno)
2360 {
2361 df_ref_debug (DF_DEFS_GET (defno), stderr);
2362 }
2363
2364
2365 DEBUG_FUNCTION void
2366 debug_df_useno (unsigned int defno)
2367 {
2368 df_ref_debug (DF_USES_GET (defno), stderr);
2369 }
2370
2371
2372 DEBUG_FUNCTION void
2373 debug_df_chain (struct df_link *link)
2374 {
2375 df_chain_dump (link, stderr);
2376 fputc ('\n', stderr);
2377 }